A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

## A

abortExperiment() - Method in class weka.experiment.RemoteExperiment
  Set the abort flag
ABS - Static variable in interface weka.core.mathematicalexpression.sym
ABS - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
AbstractAssociator - Class in weka.associations
  Abstract scheme for learning associations.
AbstractAssociator() - Constructor for class weka.associations.AbstractAssociator
AbstractClassifier - Class in weka.classifiers
  Abstract classifier.
AbstractClassifier() - Constructor for class weka.classifiers.AbstractClassifier
AbstractClusterer - Class in weka.clusterers
  Abstract clusterer.
AbstractClusterer() - Constructor for class weka.clusterers.AbstractClusterer
AbstractDataSink - Class in weka.gui.beans
  Abstract class for objects that store instances to some destination.
AbstractDataSink() - Constructor for class weka.gui.beans.AbstractDataSink
AbstractDataSinkBeanInfo - Class in weka.gui.beans
  Bean info class for the AbstractDataSink
AbstractDataSinkBeanInfo() - Constructor for class weka.gui.beans.AbstractDataSinkBeanInfo
AbstractDataSource - Class in weka.gui.beans
  Abstract class for objects that can provide instances from some source
AbstractDataSource() - Constructor for class weka.gui.beans.AbstractDataSource
  Creates a new `AbstractDataSource` instance.
AbstractDataSourceBeanInfo - Class in weka.gui.beans
  Bean info class for AbstractDataSource.
AbstractDataSourceBeanInfo() - Constructor for class weka.gui.beans.AbstractDataSourceBeanInfo
AbstractDensityBasedClusterer - Class in weka.clusterers
  Abstract clustering model that produces (for each test instance) an estimate of the membership in each cluster (ie.
AbstractDensityBasedClusterer() - Constructor for class weka.clusterers.AbstractDensityBasedClusterer
AbstractEvaluationMetric - Class in weka.classifiers.evaluation
  Abstract base class for pluggable classification/regression evaluation metrics.
AbstractEvaluationMetric() - Constructor for class weka.classifiers.evaluation.AbstractEvaluationMetric
AbstractEvaluationMetric.UnknownStatisticException - Exception in weka.classifiers.evaluation
  Exception for subclasses to throw if asked for a statistic that is not part of their implementation
AbstractEvaluationMetric.UnknownStatisticException(String) - Constructor for exception weka.classifiers.evaluation.AbstractEvaluationMetric.UnknownStatisticException
  Constructs a new UnknownStatisticsException
AbstractEvaluator - Class in weka.gui.beans
  Abstract class for objects that can provide some kind of evaluation for classifier, clusterers etc.
AbstractEvaluator() - Constructor for class weka.gui.beans.AbstractEvaluator
  Constructor
AbstractFileBasedStopwords - Class in weka.core.stopwords
  Ancestor for file-based stopword schemes.
AbstractFileBasedStopwords() - Constructor for class weka.core.stopwords.AbstractFileBasedStopwords
AbstractFileLoader - Class in weka.core.converters
  Abstract superclass for all file loaders.
AbstractFileLoader() - Constructor for class weka.core.converters.AbstractFileLoader
AbstractFileSaver - Class in weka.core.converters
  Abstract class for Savers that save to a file Valid options are: -i input arff file
  The input filw in arff format.
AbstractFileSaver() - Constructor for class weka.core.converters.AbstractFileSaver
AbstractInstance - Class in weka.core
  Abstract class providing common functionality for the original instance implementations.
AbstractInstance() - Constructor for class weka.core.AbstractInstance
AbstractLoader - Class in weka.core.converters
  Abstract class gives default implementation of setSource methods.
AbstractLoader() - Constructor for class weka.core.converters.AbstractLoader
AbstractOffscreenChartRenderer - Class in weka.gui.beans
  Abstract base class for offscreen chart renderers.
AbstractOffscreenChartRenderer() - Constructor for class weka.gui.beans.AbstractOffscreenChartRenderer
AbstractOutput - Class in weka.classifiers.evaluation.output.prediction
  A superclass for outputting the classifications of a classifier.
AbstractOutput() - Constructor for class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Initializes the output class.
AbstractPlotInstances - Class in weka.gui.explorer
  Abstract superclass for generating plottable instances.
AbstractPlotInstances() - Constructor for class weka.gui.explorer.AbstractPlotInstances
  Initializes the container.
AbstractPMMLProducerHelper - Class in weka.classifiers.pmml.producer
  Abstract base class for PMMLProducer helper classes to extend.
AbstractPMMLProducerHelper() - Constructor for class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
AbstractSaver - Class in weka.core.converters
  Abstract class for Saver
AbstractSaver() - Constructor for class weka.core.converters.AbstractSaver
AbstractStopwords - Class in weka.core.stopwords
  Ancestor for stopwords classes.
AbstractStopwords() - Constructor for class weka.core.stopwords.AbstractStopwords
AbstractTestSetProducer - Class in weka.gui.beans
  Abstract class for TestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation.
AbstractTestSetProducer() - Constructor for class weka.gui.beans.AbstractTestSetProducer
  Creates a new `AbstractTestSetProducer` instance.
AbstractTestSetProducerBeanInfo - Class in weka.gui.beans
  BeanInfo class for AbstractTestSetProducer
AbstractTestSetProducerBeanInfo() - Constructor for class weka.gui.beans.AbstractTestSetProducerBeanInfo
AbstractTimeSeries - Class in weka.filters.unsupervised.attribute
  An abstract instance filter that assumes instances form time-series data and performs some merging of attribute values in the current instance with attribute attribute values of some previous (or future) instance.
AbstractTimeSeries() - Constructor for class weka.filters.unsupervised.attribute.AbstractTimeSeries
AbstractTrainAndTestSetProducer - Class in weka.gui.beans
  Abstract base class for TrainAndTestSetProducers that contains default implementations of add/remove listener methods and defualt visual representation.
AbstractTrainAndTestSetProducer() - Constructor for class weka.gui.beans.AbstractTrainAndTestSetProducer
  Creates a new `AbstractTrainAndTestSetProducer` instance.
AbstractTrainAndTestSetProducerBeanInfo - Class in weka.gui.beans
  Bean info class for AbstractTrainAndTestSetProducers
AbstractTrainAndTestSetProducerBeanInfo() - Constructor for class weka.gui.beans.AbstractTrainAndTestSetProducerBeanInfo
AbstractTrainingSetProducer - Class in weka.gui.beans
  Abstract class for TrainingSetProducers that contains default implementations of add/remove listener methods and default visual representation
AbstractTrainingSetProducer() - Constructor for class weka.gui.beans.AbstractTrainingSetProducer
  Creates a new `AbstractTrainingSetProducer` instance.
AbstractTrainingSetProducerBeanInfo - Class in weka.gui.beans
  BeanInfo class for AbstractTrainingSetProducer
AbstractTrainingSetProducerBeanInfo() - Constructor for class weka.gui.beans.AbstractTrainingSetProducerBeanInfo
accept(File) - Method in class weka.core.ClassCache.ClassFileFilter
  Checks whether the file is a class.
accept(File) - Method in class weka.core.ClassCache.DirectoryFilter
  Checks whether the file is a directory.
accept(File) - Method in class weka.gui.ExtensionFileFilter
  Returns true if the supplied file should be accepted (i.e.: if it has the required extension or is a directory).
accept(File, String) - Method in class weka.gui.ExtensionFileFilter
  Returns true if the file in the given directory with the given name should be accepted.
ACCEPT - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
  States that the user has accepted the tree.
acceptAssociationRules(BatchAssociationRulesEvent) - Method in interface weka.gui.beans.BatchAssociationRulesListener
  Accept a `BatchAssociationRulesEvent`
acceptClassifier(BatchClassifierEvent) - Method in interface weka.gui.beans.BatchClassifierListener
  Accept a BatchClassifierEvent
acceptClassifier(BatchClassifierEvent) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Accept a classifier to be evaluated.
acceptClassifier(IncrementalClassifierEvent) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Accepts and processes a classifier encapsulated in an incremental classifier event
acceptClassifier(IncrementalClassifierEvent) - Method in interface weka.gui.beans.IncrementalClassifierListener
  Accept the event
acceptClassifier(IncrementalClassifierEvent) - Method in class weka.gui.beans.PredictionAppender
  Accept and process an incremental classifier event
acceptClassifier(BatchClassifierEvent) - Method in class weka.gui.beans.PredictionAppender
  Accept and process a batch classifier event
acceptClassifier(IncrementalClassifierEvent) - Method in class weka.gui.beans.SerializedModelSaver
  Accept and save an incrementally trained classifier.
acceptClassifier(BatchClassifierEvent) - Method in class weka.gui.beans.SerializedModelSaver
  Accept and save a batch trained classifier.
acceptClusterer(BatchClustererEvent) - Method in interface weka.gui.beans.BatchClustererListener
  Accept a BatchClustererEvent
acceptClusterer(BatchClustererEvent) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
  Accept a clusterer to be evaluated
acceptClusterer(BatchClustererEvent) - Method in class weka.gui.beans.PredictionAppender
  Accept and process a batch clusterer event
acceptClusterer(BatchClustererEvent) - Method in class weka.gui.beans.SerializedModelSaver
  Accept and save a batch trained clusterer.
acceptConfiguration(ConfigurationEvent) - Method in interface weka.gui.beans.ConfigurationListener
  Implementers do not have to do anything in this method (see the above documentation).
acceptDataPoint(ChartEvent) - Method in interface weka.gui.beans.ChartListener
acceptDataPoint(ChartEvent) - Method in class weka.gui.beans.StripChart
  Accept a data point (encapsulated in a chart event) to plot
acceptDataPoint(double[]) - Method in class weka.gui.beans.StripChart
  Accept a data point to plot
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.AbstractDataSink
  Accept a data set
acceptDataSet(ThresholdDataEvent) - Method in class weka.gui.beans.AbstractDataSink
  Accept a threshold data set
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Subclass must implement
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Appender
  Accept and process a data set event
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Associator
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.ClassAssigner
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.ClassValuePicker
acceptDataSet(ThresholdDataEvent) - Method in class weka.gui.beans.CostBenefitAnalysis
  Accept a threshold data event and set up the visualization.
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.CrossValidationFoldMaker
  Accept a data set
acceptDataSet(DataSetEvent) - Method in interface weka.gui.beans.DataSourceListener
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.DataVisualizer
  Accept a data set
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Filter
  Accept a data set
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.FlowByExpression
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Join
  Accept and process a data set
acceptDataSet(ThresholdDataEvent) - Method in class weka.gui.beans.ModelPerformanceChart
  Display a threshold curve.
acceptDataSet(VisualizableErrorEvent) - Method in class weka.gui.beans.ModelPerformanceChart
  Display a scheme error plot.
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Saver
  Method reacts to a dataset event and starts the writing process in batch mode
acceptDataSet(ThresholdDataEvent) - Method in class weka.gui.beans.Saver
  Method reacts to a threshold data event ans starts the writing process in batch mode.
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.Sorter
  Accept and process a data set event
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.SubstringLabeler
  Accept and process a data set event
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TestSetMaker
  Accepts and processes a data set event
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TextViewer
  Accept a data set for displaying as text
acceptDataSet(ThresholdDataEvent) - Method in interface weka.gui.beans.ThresholdDataListener
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TrainingSetMaker
  Accept a data set
acceptDataSet(DataSetEvent) - Method in class weka.gui.beans.TrainTestSplitMaker
  Accept a data set
acceptDataSet(VisualizableErrorEvent) - Method in interface weka.gui.beans.VisualizableErrorListener
acceptGraph(GraphEvent) - Method in interface weka.gui.beans.GraphListener
  Describe `acceptGraph` method here.
acceptGraph(GraphEvent) - Method in class weka.gui.beans.GraphViewer
  Accept a graph
acceptImage(ImageEvent) - Method in interface weka.gui.beans.ImageListener
  Accept and process an ImageEvent
acceptImage(ImageEvent) - Method in class weka.gui.beans.ImageSaver
  Accept and process an ImageEvent
acceptImage(ImageEvent) - Method in class weka.gui.beans.ImageViewer
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.AbstractDataSink
  Accept an instance
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Appender
  Accept and process an instance event
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.ClassAssigner
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Classifier
  Accepts an instance for incremental processing.
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Filter
  Accept an instance for processing by StreamableFilters only
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.FlowByExpression
acceptInstance(InstanceEvent) - Method in interface weka.gui.beans.InstanceListener
  Accept and process an instance event
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Accept an instance to add to the batch.
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Join
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Saver
  Methods reacts to instance events and saves instances incrementally.
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.Sorter
  Accept and process an instance event
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.StripChart
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.SubstringLabeler
  Accept and process an instance event
acceptInstance(InstanceEvent) - Method in class weka.gui.beans.SubstringReplacer
  Accept and process an instance event
acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.AveragingResultProducer
  Accepts results from a ResultProducer.
acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.CSVResultListener
  Just prints out each result as it is received.
acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.DatabaseResultListener
  Submit the result to the appropriate table of the database
acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.DatabaseResultProducer
  Accepts results from a ResultProducer.
acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.InstancesResultListener
  Collects each instance and adjusts the header information.
acceptResult(ResultProducer, Object[], Object[]) - Method in class weka.experiment.LearningRateResultProducer
  Accepts results from a ResultProducer.
acceptResult(ResultProducer, Object[], Object[]) - Method in interface weka.experiment.ResultListener
  Accepts results from a ResultProducer.
acceptsInstances() - Method in class weka.gui.beans.AttributeSummarizer
  Returns true if this perspective accepts instances
acceptsInstances() - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
  Returns true if this perspective accepts instances
acceptsInstances() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
acceptsInstances() - Method in class weka.gui.beans.ScatterPlotMatrix
  Returns true if this perspective accepts instances
acceptsInstances() - Method in class weka.gui.beans.SQLViewerPerspective
  Returns true if this perspective accepts instances
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.AbstractDataSink
  Accept a test set
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Appender
  Accept and process a test set event
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.ClassAssigner
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Classifier
  Accepts a test set for a batch trained classifier
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Clusterer
  Accepts a test set for a batch trained clusterer
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.CrossValidationFoldMaker
  Accept a test set
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.DataVisualizer
  Accept a test set
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Filter
  Accept a test set
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.FlowByExpression
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Join
  Accept and process a test set
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Saver
  Method reacts to a test set event and starts the writing process in batch mode
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.Sorter
  Accept and process a test set event
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.SubstringLabeler
  Accept and process a test set event
acceptTestSet(TestSetEvent) - Method in interface weka.gui.beans.TestSetListener
  Accept and process a test set event
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.TextViewer
  Accept a test set for displaying as text
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.TrainingSetMaker
acceptTestSet(TestSetEvent) - Method in class weka.gui.beans.TrainTestSplitMaker
  Accept a test set
acceptText(TextEvent) - Method in interface weka.gui.beans.TextListener
  Accept and process a text event
acceptText(TextEvent) - Method in class weka.gui.beans.TextSaver
  Accept and process an TextEvent
acceptText(TextEvent) - Method in class weka.gui.beans.TextViewer
  Accept some text
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.AbstractDataSink
  Accept a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Appender
  Accept and process a training set event
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Associator
  Accept a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.ClassAssigner
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Classifier
  Accepts a training set and builds batch classifier
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Clusterer
  Accepts a training set and builds batch clusterer
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.CrossValidationFoldMaker
  Accept a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.DataVisualizer
  Accept a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Filter
  Accept a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.FlowByExpression
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Join
  Accept and process a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Saver
  Method reacts to a training set event and starts the writing process in batch mode
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.Sorter
  Accept and process a training set event
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.SubstringLabeler
  Accept and process a training set event
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.TestSetMaker
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.TextViewer
  Accept a training set for displaying as text
acceptTrainingSet(TrainingSetEvent) - Method in interface weka.gui.beans.TrainingSetListener
  Accept and process a training set
acceptTrainingSet(TrainingSetEvent) - Method in class weka.gui.beans.TrainTestSplitMaker
  Accept a training set
actEntropy - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
  used/reused to hold the actual entropy
action_table() - Method in class weka.core.json.Parser
  Access to parse-action table.
action_table() - Method in class weka.core.mathematicalexpression.Parser
  Access to parse-action table.
action_table() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Access to parse-action table.
actionPerformed(ActionEvent) - Method in class weka.gui.arffviewer.ArffPanel
  invoked when an action occurs
actionPerformed(ActionEvent) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  invoked when an action occurs
actionPerformed(ActionEvent) - Method in class weka.gui.experiment.AlgorithmListPanel
  Handle actions when buttons get pressed.
actionPerformed(ActionEvent) - Method in class weka.gui.experiment.DatasetListPanel
  Handle actions when buttons get pressed.
actionPerformed(ActionEvent) - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
  Handles the various button clicking type activities.
actionPerformed(ActionEvent) - Method in class weka.gui.experiment.HostListPanel
  Handle actions when text is entered into the host field or the delete button is pressed.
actionPerformed(ActionEvent) - Method in class weka.gui.experiment.RunPanel
  Controls starting and stopping the experiment.
actionPerformed(ActionEvent) - Method in class weka.gui.SimpleCLIPanel
  Only gets called when return is pressed in the input area, which starts the command running.
actionPerformed(ActionEvent) - Method in class weka.gui.streams.InstanceLoader
actionPerformed(ActionEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
  Performs the action associated with the ActionEvent.
ACTIVATIONFUNCTION - Enum in weka.core.pmml.jaxbbindings
  Java class for ACTIVATION-FUNCTION.
ActiveHNode - Class in weka.classifiers.trees.ht
  Node that is "active" (i.e.
ActiveHNode() - Constructor for class weka.classifiers.trees.ht.ActiveHNode
actual() - Method in class weka.classifiers.evaluation.NominalPrediction
  Gets the actual class value.
actual() - Method in class weka.classifiers.evaluation.NumericPrediction
  Gets the actual class value.
actual() - Method in interface weka.classifiers.evaluation.Prediction
  Gets the actual class value.
actualNumBags() - Method in class weka.classifiers.trees.j48.Distribution
  Returns number of non-empty bags of distribution.
actualNumClasses() - Method in class weka.classifiers.trees.j48.Distribution
  Returns number of classes actually occuring in distribution.
actualNumClasses(int) - Method in class weka.classifiers.trees.j48.Distribution
  Returns number of classes actually occuring in given bag.
acuityTipText() - Method in class weka.clusterers.Cobweb
  Returns the tip text for this property
AdaBoostM1 - Class in weka.classifiers.meta
  Class for boosting a nominal class classifier using the Adaboost M1 method.
AdaBoostM1() - Constructor for class weka.classifiers.meta.AdaBoostM1
  Constructor.
add(int, Instance) - Method in class weka.classifiers.trees.j48.Distribution
  Adds given instance to given bag.
add(int, double[]) - Method in class weka.classifiers.trees.j48.Distribution
  Adds counts to given bag.
add(AlgVector) - Method in class weka.core.AlgVector
  Returns the sum of this vector with another.
add(String) - Method in class weka.core.ClassCache
  Adds the classname to the cache.
add(Instance) - Method in class weka.core.Instances
  Adds one instance to the end of the set.
add(int, Instance) - Method in class weka.core.Instances
  Adds one instance at the given position in the list.
add(Matrix) - Method in class weka.core.Matrix
  Deprecated.
  Returns the sum of this matrix with another.
add(String) - Method in class weka.core.Stopwords
  adds the given word to the stopword list (is automatically converted to lower case and trimmed)
add(TechnicalInformation) - Method in class weka.core.TechnicalInformation
  adds the given information to the list of additional technical informations
add(TechnicalInformation.Type) - Method in class weka.core.TechnicalInformation
  Adds an empty technical information with the given type to the list of additional informations and returns the instance.
add(PrintStream) - Method in class weka.core.Tee
  adds the given PrintStream to the list of streams, with NO timestamp and NO prefix.
add(PrintStream, boolean) - Method in class weka.core.Tee
  adds the given PrintStream to the list of streams, with NO prefix.
add(PrintStream, boolean, String) - Method in class weka.core.Tee
  adds the given PrintStream to the list of streams.
add(String) - Method in class weka.core.Trie
  Ensures that this collection contains the specified element.
add(String) - Method in class weka.core.Trie.TrieNode
  adds the given string to its children (creates children if necessary)
add(String, Method) - Method in class weka.core.xml.MethodHandler
  adds the specified method for the property with the given displayname to its internal list.
add(Class<?>, Method) - Method in class weka.core.xml.MethodHandler
  adds the specified method for the given class to its internal list.
add(double, double) - Method in class weka.experiment.PairedStats
  Add an observed pair of values.
add(double[], double[]) - Method in class weka.experiment.PairedStats
  Adds an array of observed pair of values.
add(double) - Method in class weka.experiment.Stats
  Adds a value to the observed values
add(double, double) - Method in class weka.experiment.Stats
  Adds a value that has been seen n times to the observed values
Add - Class in weka.filters.unsupervised.attribute
  An instance filter that adds a new attribute to the dataset.
Add() - Constructor for class weka.filters.unsupervised.attribute.Add
add(int, Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Inserts the specified element at the specified position in this list.
add(Object) - Method in class weka.gui.GenericObjectEditorHistory
  Adds the object to the history.
add(String) - Method in class weka.gui.HierarchyPropertyParser
  Add the given item of property to the tree
ADD_CHILDREN - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
addActionListener(ActionListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Register a listener to be notified when plotting completes
addActionListener(ActionListener) - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
  Add a listener interested in kowing about editor status changes
addActionListener(ActionListener) - Method in class weka.gui.visualize.ClassPanel
  Add an action listener that will be notified if the user changes the colour of a label
addActionListener(ActionListener) - Method in class weka.gui.visualize.VisualizePanel
  Add a listener for this visualize panel
addAll(Collection<? extends T>) - Method in class weka.core.neighboursearch.covertrees.Stack
  Adds all the given elements in the stack.
addAll(Collection<? extends String>) - Method in class weka.core.Trie
  Adds all of the elements in the specified collection to this collection
addAllBeansToContainer(JComponent, Integer...) - Static method in class weka.gui.beans.BeanInstance
  Adds all beans to the supplied component
addAllowed(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
  adds the given property (display name) to the list of allowed properties for the specified class.
addAndUpdate(Rule) - Method in class weka.classifiers.rules.RuleStats
  Add a rule to the ruleset and update the stats
addArc(String, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Add arc between two nodes Distributions are updated by duplication for every value of the parent node.
addArc(int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Add arc between two nodes Distributions are updated by duplication for every value of the parent node.
addArc(String, ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Add arc between parent node and each of the nodes in a given list.
addArray(String) - Method in class weka.core.json.JSONNode
  Adds an array child to the object.
addArrayElement(Object) - Method in class weka.core.json.JSONNode
  Adds an array element child to the array.
addAssociationModelOrBaselineModelOrClusteringModes(Object) - Method in class weka.core.pmml.jaxbbindings.PMML
addAttributePanelListener(AttributePanelListener) - Method in class weka.gui.visualize.AttributePanel
  Add a listener to the list of things listening to this panel
addAttributeSpec(String) - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Add an attribute spec to the list
addBatchAssociationRulesListener(BatchAssociationRulesListener) - Method in class weka.gui.beans.Associator
  Add a batch association rules listener
addBatchClassifierListener(BatchClassifierListener) - Method in class weka.gui.beans.Classifier
  Add a batch classifier listener
addBatchClustererListener(BatchClustererListener) - Method in class weka.gui.beans.Clusterer
  Add a batch clusterer listener
addBean(JComponent, Integer...) - Method in class weka.gui.beans.BeanInstance
  Adds this bean to the global list of beans and to the supplied container.
addBeanInstances(Vector<Object>, JComponent) - Static method in class weka.gui.beans.BeanInstance
  Adds the supplied collection of beans to the end of the list of collections and to the JComponent container (if not null)
addCancelListener(ActionListener) - Method in class weka.gui.GenericObjectEditor.GOEPanel
  This is used to hook an action listener to the cancel button.
addCapabilities(String, Capabilities) - Static method in class weka.gui.PropertySheetPanel
  generates a string from the capapbilities, suitable to add to the help text.
addCapabilitiesFilterListener(Explorer.CapabilitiesFilterChangeListener) - Method in class weka.gui.explorer.Explorer
  adds the listener to the list of objects that listen for changes of the CapabilitiesFilter
addChangeListener(ChangeListener) - Method in class weka.gui.arffviewer.ArffPanel
  Adds a ChangeListener to the panel
addChangeListener(ChangeListener) - Method in class weka.gui.arffviewer.ArffTable
  Adds a ChangeListener to the panel
addChartListener(ChartListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Add a chart listener
addCheckBoxActionListener(ActionListener) - Method in class weka.gui.experiment.DistributeExperimentPanel
  Enable objects to listen for changes to the check box
addChild(Edge) - Method in class weka.gui.treevisualizer.Node
  Set the value of children.
addChildClique(MarginCalculator.JunctionTreeNode) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
addChildFrame(Container) - Method in class weka.gui.GUIChooser
  adds the given child frame to the list of frames.
addChildFrame(Container) - Method in class weka.gui.Main
  adds the given child frame to the list of frames.
AddClassification - Class in weka.filters.supervised.attribute
  A filter for adding the classification, the class distribution and an error flag to a dataset with a classifier.
AddClassification() - Constructor for class weka.filters.supervised.attribute.AddClassification
AddCluster - Class in weka.filters.unsupervised.attribute
  A filter that adds a new nominal attribute representing the cluster assigned to each instance by the specified clustering algorithm.
  Either the clustering algorithm gets built with the first batch of data or one specifies are serialized clusterer model file to use instead.
AddCluster() - Constructor for class weka.filters.unsupervised.attribute.AddCluster
addConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Associator
  We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
addConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Classifier
  We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
addConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Clusterer
  We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
addConfigurationListener(ConfigurationListener) - Method in interface weka.gui.beans.ConfigurationProducer
  We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
addConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Filter
  We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
addConnectionListener(ConnectionListener) - Method in class weka.gui.sql.ConnectionPanel
  adds the given listener to the list of listeners.
addConnectionListener(ConnectionListener) - Method in class weka.gui.sql.SqlViewer
  adds the given listener to the list of listeners.
addConnections(Vector<BeanConnection>) - Static method in class weka.gui.beans.BeanConnection
  Add the supplied collection of connections to the end of the list.
addContent(Object) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
addContent(Object) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
addCVParameter(String) - Method in class weka.classifiers.meta.CVParameterSelection
  Adds a scheme parameter to the list of parameters to be set by cross-validation
addDataDictionary(Instances, PMML) - Static method in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
  Adds a data dictionary to the supplied PMML object.
addDataField(DataField) - Method in class weka.core.pmml.jaxbbindings.DataDictionary
addDataFormatListener(DataFormatListener) - Method in class weka.gui.beans.ClassAssigner
addDataFormatListener(DataFormatListener) - Method in class weka.gui.beans.ClassValuePicker
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.AbstractDataSource
  Add a listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Appender
  Add a data source listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.ClassAssigner
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.ClassValuePicker
addDataSourceListener(DataSourceListener) - Method in interface weka.gui.beans.DataSource
  Add a data source listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.DataVisualizer
  Add a listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Filter
  Add a data source listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.FlowByExpression
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Join
  Add a data source listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Loader
  Add a listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.PredictionAppender
  Add a datasource listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Sorter
  Add a datasource listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.SubstringLabeler
  Add a datasource listener
addDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.SubstringReplacer
  Add a data source listener
addDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.LocalTransformations
addDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.TransformationDictionary
addElement(E) - Method in class weka.core.FastVector
  Deprecated.
  Adds an element to this vector.
addElement(int, int, double) - Method in class weka.core.Matrix
  Deprecated.
  Add a value to an element.
addElement(double) - Method in class weka.core.matrix.DoubleVector
  Adds an element into the vector
addElement(Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Adds the specified component to the end of this list.
addEmptyRow() - Method in class weka.gui.beans.InteractiveTableModel
  Adds an empty row to the model
addErrs(double, double, float) - Static method in class weka.classifiers.trees.j48.Stats
  Computes estimated extra error for given total number of instances and error using normal approximation to binomial distribution (and continuity correction).
AddExpression - Class in weka.filters.unsupervised.attribute
  An instance filter that creates a new attribute by applying a mathematical expression to existing attributes.
AddExpression() - Constructor for class weka.filters.unsupervised.attribute.AddExpression
addFile(String) - Static method in class weka.core.ClassloaderUtil
  Add file to CLASSPATH
addFile(File) - Static method in class weka.core.ClassloaderUtil
  Add file to CLASSPATH
addFileFilter(FileFilter) - Method in class weka.gui.beans.FileEnvironmentField
  Add a file filter to use
addFromProperties(File) - Static method in class weka.gui.beans.PluginManager
  Add all key value pairs from the supplied property file
addFromProperties(InputStream) - Static method in class weka.gui.beans.PluginManager
  Add all key value pairs from the supplied properties stream
addFromProperties(Properties) - Static method in class weka.gui.beans.PluginManager
  Add all key value pairs from the supplied properties object
addGraphListener(GraphListener) - Method in class weka.gui.beans.Associator
  Add a graph listener
addGraphListener(GraphListener) - Method in class weka.gui.beans.Classifier
  Add a graph listener
addGraphListener(GraphListener) - Method in class weka.gui.beans.Clusterer
  Add a graph listener
addHeader(String, String) - Method in class weka.experiment.ResultMatrix
  adds the key-value pair to the header.
addHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.ConnectionPanel
  adds the given listener to the list of listeners.
addHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.QueryPanel
  adds the given listener to the list of listeners.
addHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.SqlViewer
  adds the given listener to the list of listeners.
AddID - Class in weka.filters.unsupervised.attribute
  An instance filter that adds an ID attribute to the dataset.
AddID() - Constructor for class weka.filters.unsupervised.attribute.AddID
addIgnored(String) - Method in class weka.core.xml.PropertyHandler
  adds the given display name of a property to the ignore list.
addIgnored(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
  adds the given class with the display name of a property to the ignore list.
addImageListener(ImageListener) - Method in class weka.gui.beans.DataVisualizer
  Add an image listener
addImageListener(ImageListener) - Method in class weka.gui.beans.ModelPerformanceChart
  Add an image listener
addIncrementalClassifierListener(IncrementalClassifierListener) - Method in class weka.gui.beans.Classifier
  Add an incremental classifier listener
addInstance(Instance) - Method in class weka.clusterers.Cobweb
  Deprecated.
  updateClusterer(Instance) should be used instead
addInstance(BallNode, Instance) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Adds an instance to the ball tree.
addInstance(BallNode, Instance) - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
  Adds an instance to the ball tree.
addInstance(BallNode, Instance) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Adds an instance to the tree.
addInstance(BallNode, Instance) - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
  Adds an instance to the ball tree.
addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.BallTree
  Adds the given instance's info.
addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.CoverTree
  Adds the given instance info.
addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Just callsthe update method.
addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.KDTree
  Adds one instance to KDTree loosly.
addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.LinearNNSearch
  Adds the given instance info.
addInstanceInfo(Instance) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Adds information from the given instance without modifying the datastructure a lot.
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.AbstractDataSource
  Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Appender
  Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.ClassAssigner
addInstanceListener(InstanceListener) - Method in interface weka.gui.beans.DataSource
  Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Filter
  Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.FlowByExpression
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Join
  Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Loader
  Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.PredictionAppender
  Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.Sorter
  Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.SubstringLabeler
  Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.beans.SubstringReplacer
  Add an instance listener
addInstanceListener(InstanceListener) - Method in class weka.gui.streams.InstanceJoiner
addInstanceListener(InstanceListener) - Method in class weka.gui.streams.InstanceLoader
addInstanceListener(InstanceListener) - Method in interface weka.gui.streams.InstanceProducer
addInstanceNumberAttribute() - Method in class weka.gui.visualize.PlotData2D
  Adds an instance number attribute to the plottable instances,
addInstWithUnknown(Instances, int) - Method in class weka.classifiers.trees.j48.Distribution
  Adds all instances with unknown values for given attribute, weighted according to frequency of instances in each bag.
additional() - Method in class weka.core.TechnicalInformation
  returns an enumeration of all the additional technical informations (if there are any)
AdditionalMeasureProducer - Interface in weka.core
  Interface to something that can produce measures other than those calculated by evaluation modules.
AdditiveRegression - Class in weka.classifiers.meta
  Meta classifier that enhances the performance of a regression base classifier.
AdditiveRegression() - Constructor for class weka.classifiers.meta.AdditiveRegression
  Default constructor specifying DecisionStump as the classifier
AdditiveRegression(Classifier) - Constructor for class weka.classifiers.meta.AdditiveRegression
  Constructor which takes base classifier as argument.
addKeyword(String, MutableAttributeSet) - Method in class weka.gui.scripting.SyntaxDocument
  Associates a keyword with a particular formatting style.
addKeywords(String[], MutableAttributeSet) - Method in class weka.gui.scripting.SyntaxDocument
  Associates the keywords with a particular formatting style.
addLayoutCompleteEventListener(LayoutCompleteEventListener) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
  Method to add a LayoutCompleteEventListener
addLayoutCompleteEventListener(LayoutCompleteEventListener) - Method in interface weka.gui.graphvisualizer.LayoutEngine
  This method adds a LayoutCompleteEventListener to the LayoutEngine.
addMiningFields(MiningField) - Method in class weka.core.pmml.jaxbbindings.MiningSchema
addModel(SimpleLinearRegression) - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
  Takes the given simple linear regression model and adds it to this one.
addMouseListener(MouseListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Adds a mouse listener.
addMouseListenerToHeader(JTable) - Method in class weka.gui.SortedTableModel
  Adds a mouselistener to the header: left-click on the header sorts in ascending manner, using shift-left-click in descending manner.
addNode(String, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Add new node to the network, initializing instances, parentsets, distributions.
addNode(String, int, int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Add node to network at a given position, initializing instances, parentsets, distributions.
addNodeValue(int, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Add node value to a node.
AddNoise - Class in weka.filters.unsupervised.attribute
  An instance filter that changes a percentage of a given attributes values.
AddNoise() - Constructor for class weka.filters.unsupervised.attribute.AddNoise
addNoise(Instances, int, int, int, boolean) - Method in class weka.filters.unsupervised.attribute.AddNoise
  add noise to the dataset a given percentage of the instances are changed in the way, that a set of instances are randomly selected using seed.
addNull(String) - Method in class weka.core.json.JSONNode
  Adds a "null" child to the object.
addNullArrayElement() - Method in class weka.core.json.JSONNode
  Adds a null array element child to the array.
addNumericPredictor(NumericPredictor) - Method in class weka.core.pmml.jaxbbindings.RegressionTable
addObject(String) - Method in class weka.core.json.JSONNode
  Adds an object child to the object.
addObject(String, Object) - Method in class weka.gui.ResultHistoryPanel
  Adds an object to the results list
addOkListener(ActionListener) - Method in class weka.gui.GenericObjectEditor.GOEPanel
  This is used to hook an action listener to the ok button.
addOutputField(OutputField) - Method in class weka.core.pmml.jaxbbindings.Output
addParent(int, Instances) - Method in class weka.classifiers.bayes.net.ParentSet
  Add parent to parent set and update internals (specifically the cardinality of the parent set)
addParent(int, int, Instances) - Method in class weka.classifiers.bayes.net.ParentSet
  Add parent to parent set at specific location and update internals (specifically the cardinality of the parent set)
addPCell(PCell) - Method in class weka.core.pmml.jaxbbindings.ParamMatrix
addPlot(PlotData2D) - Method in class weka.gui.visualize.Plot2D
  Add a plot to the list of plots to display
addPlot(PlotData2D) - Method in class weka.gui.visualize.VisualizePanel
  Set a new plot to the visualize panel
addPlugin(String, String, String) - Static method in class weka.gui.beans.PluginManager
  Add a plugin.
addPreBuiltClassifier(Classifier) - Method in class weka.classifiers.meta.Vote
  Add a prebuilt classifier to the list for use in the ensemble
addPrediction(NominalPrediction) - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Includes a prediction in the confusion matrix.
addPredictions(ArrayList<Prediction>) - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Includes a whole bunch of predictions in the confusion matrix.
addPrimitive(String, Boolean) - Method in class weka.core.json.JSONNode
  Adds a key-value child to the object.
addPrimitive(String, Integer) - Method in class weka.core.json.JSONNode
  Adds a key-value child to the object.
addPrimitive(String, Double) - Method in class weka.core.json.JSONNode
  Adds a key-value child to the object.
addPrimitive(String, String) - Method in class weka.core.json.JSONNode
  Adds a key-value child to the object.
addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.AbstractDataSource
  Add a property change listener to this bean
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.AssociatorCustomizer
  Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.BeanVisual
  Add a listener for property change events
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassAssignerCustomizer
  Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassifierCustomizer
  Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
  Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassValuePickerCustomizer
  Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClustererCustomizer
  Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
  Add a property change listener
addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.DataVisualizer
  Add a property change listener to this bean
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.EnvironmentField
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.FilterCustomizer
  Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
  Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.LoaderCustomizer
  Add a property change listener
addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.ModelPerformanceChart
  Add a property change listener to this bean
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.PredictionAppenderCustomizer
  Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.SaverCustomizer
  Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
  Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.StripChartCustomizer
  Add a property change listener
addPropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.TextViewer
  Add a property change listener to this bean
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.TrainTestSplitMakerCustomizer
  Add a property change listener
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.CostMatrixEditor
  Adds an object to the list of those that wish to be informed when the cost matrix changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SetupModePanel
  Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SetupPanel
  Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SimpleSetupPanel
  Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.explorer.PreprocessPanel
  Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.GenericArrayEditor
  Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.GenericObjectEditor
  Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.PropertySheetPanel
  Adds a PropertyChangeListener.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.SetInstancesPanel
  Adds a PropertyChangeListener who will be notified of value changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.SimpleDateFormatEditor
  Adds an object to the list of those that wish to be informed when the date format changes.
addPropertyChangeListenersSubFlow(PropertyChangeListener) - Method in class weka.gui.beans.MetaBean
addPSFontReplacement(String, String) - Static method in class weka.gui.visualize.PostscriptGraphics
  adds the PS font name to replace and its replacement in the replacement hashtable
addQueryExecuteListener(QueryExecuteListener) - Method in class weka.gui.sql.QueryPanel
  adds the given listener to the list of listeners.
addQueryExecuteListener(QueryExecuteListener) - Method in class weka.gui.sql.SqlViewer
  adds the given listener to the list of listeners.
addRange(int, Instances, int, int) - Method in class weka.classifiers.trees.j48.Distribution
  Adds all instances in given range to given bag.
addRelation(Instances) - Method in class weka.core.Attribute
  Adds a relation to a relation-valued attribute.
addRemoteExperimentListener(RemoteExperimentListener) - Method in class weka.experiment.RemoteExperiment
  Add an object to the list of those interested in recieving update information from the RemoteExperiment
addRemoteExperimentListener(RemoteExperimentListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
  Add an object to the list of those interested in recieving update information from the RemoteExperiment
addRemoteHost(String) - Method in class weka.experiment.RemoteExperiment
  Add a host name to the list of remote hosts
addRenderingHints(Map<?, ?>) - Method in class weka.gui.visualize.PostscriptGraphics
addRepaintNotify(Component) - Method in class weka.gui.visualize.ClassPanel
  Adds a component that will need to be repainted if the user changes the colour of a label.
addRepaintNotify(Component) - Method in class weka.gui.visualize.LegendPanel
  Adds a component that will need to be repainted if the user changes the colour of a label.
addResult(String, StringBuffer) - Method in class weka.gui.ResultHistoryPanel
  Adds a new result to the result list.
addResultChangedListener(ResultChangedListener) - Method in class weka.gui.sql.ResultPanel
  adds the given listener to the list of listeners
addResultChangedListener(ResultChangedListener) - Method in class weka.gui.sql.SqlViewer
  adds the given listener to the list of listeners.
addScriptFinishedListener(ScriptExecutionListener) - Method in class weka.gui.scripting.Script
  Adds the given listener to its internal list.
addStartupListener(StartUpListener) - Static method in class weka.gui.beans.KnowledgeFlowApp
  Add a listener to be notified when startup is complete
addStartupListener(StartUpListener) - Static method in class weka.gui.Main
  Add a listener to be notified when startup is complete.
addStringValue(String) - Method in class weka.core.Attribute
  Adds a string value to the list of valid strings for attributes of type STRING and returns the index of the string.
addStringValue(Attribute, int) - Method in class weka.core.Attribute
  Adds a string value to the list of valid strings for attributes of type STRING and returns the index of the string.
addTab(String) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
addTableModelListener(TableModelListener) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  adds a listener to the list that is notified each time a change to data model occurs
addTableModelListener(TableModelListener) - Method in class weka.gui.arffviewer.ArffTableModel
  adds a listener to the list that is notified each time a change to data model occurs
addTableModelListener(TableModelListener) - Method in class weka.gui.sql.ResultSetTableModel
  adds a listener to the list that is notified each time a change to data model occurs.
addTarget(Target) - Method in class weka.core.pmml.jaxbbindings.Targets
addTestSetListener(TestSetListener) - Method in class weka.gui.beans.AbstractTestSetProducer
  Add a listener for test sets
addTestSetListener(TestSetListener) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Add a test set listener
addTestSetListener(TestSetListener) - Method in class weka.gui.beans.ClassAssigner
addTestSetListener(TestSetListener) - Method in class weka.gui.beans.Filter
  Add a test set listener
addTestSetListener(TestSetListener) - Method in class weka.gui.beans.PredictionAppender
  Add a test set listener
addTestSetListener(TestSetListener) - Method in interface weka.gui.beans.TestSetProducer
  Add a listener for test set events
addTextListener(TextListener) - Method in class weka.gui.beans.Associator
  Add a text listener
addTextListener(TextListener) - Method in class weka.gui.beans.Classifier
  Add a text listener
addTextListener(TextListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Add a text listener
addTextListener(TextListener) - Method in class weka.gui.beans.Clusterer
  Add a text listener
addTextListener(TextListener) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
  Add a text listener
addTextListener(TextListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Add a text listener
addTextListener(TextListener) - Method in class weka.gui.beans.TextViewer
  Add a text listener
addThresholdDataListener(ThresholdDataListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Add a threshold data listener
addTitleUpdatedListener(TitleUpdatedListener) - Method in class weka.gui.scripting.ScriptingPanel
  Adds the listener to the internal list.
addToDisabledList(List<String>) - Static method in class weka.gui.beans.PluginManager
  Add the supplied list of fully qualified class names to the disabled list
addToDisabledList(String) - Static method in class weka.gui.beans.PluginManager
  Add the supplied fully qualified class name to the list of disabled plugins
addToHistory() - Method in class weka.gui.PropertyPanel
  Adds the current editor value to the history.
addToHistory(Object) - Method in class weka.gui.PropertyPanel
  Adds the specified value to the history.
addToList(Object[], double) - Method in class weka.attributeSelection.BestFirst.LinkedList2
  adds an element (Link) to the list.
addToPluginBeanProps(File) - Static method in class weka.gui.beans.BeansProperties
addToPluginBeanProps(File) - Static method in class weka.gui.beans.KnowledgeFlowApp
  Add a plugin bean props file
addTrainingInstance(Instance) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Adds a training instance to the visualization dataset.
addTrainingInstanceFromMouseLocation(int, int, int, double) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Adds a training instance to our dataset, based on the coordinates of the mouse on the panel.
addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Add a training set listener
addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.AbstractTrainingSetProducer
  Add a training set listener
addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.ClassAssigner
addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.Filter
  Add a training set listener
addTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.PredictionAppender
  Add a training set listener
addTrainingSetListener(TrainingSetListener) - Method in interface weka.gui.beans.TrainingSetProducer
  Add a training set listener
addUndoPoint() - Method in interface weka.core.Undoable
  adds an undo point to the undo history
addUndoPoint() - Method in class weka.gui.arffviewer.ArffPanel
  adds the current state of the instances to the undolist
addUndoPoint() - Method in class weka.gui.arffviewer.ArffSortedTableModel
  adds an undo point to the undo history
addUndoPoint() - Method in class weka.gui.arffviewer.ArffTableModel
  adds an undo point to the undo history, if the undo support is enabled
addUndoPoint() - Method in class weka.gui.explorer.PreprocessPanel
  Backs up the current state of the dataset, so the changes can be undone.
addURL(URL) - Static method in class weka.core.ClassloaderUtil
  Add URL to CLASSPATH
AddUserFields - Class in weka.filters.unsupervised.attribute
  A filter that adds new attributes with user specified type and constant value.
AddUserFields() - Constructor for class weka.filters.unsupervised.attribute.AddUserFields
  Constructs a new AddUserFields
AddUserFields.AttributeSpec - Class in weka.filters.unsupervised.attribute
  Inner class encapsulating a new user-specified attribute to create.
AddUserFields.AttributeSpec() - Constructor for class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Default constructor
AddUserFields.AttributeSpec(String) - Constructor for class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Constructor that takes an attribute specification in internal format
AddUserFieldsBeanInfo - Class in weka.filters.unsupervised.attribute
  Bean info class for the AddUserFields filter.
AddUserFieldsBeanInfo() - Constructor for class weka.filters.unsupervised.attribute.AddUserFieldsBeanInfo
AddUserFieldsCustomizer - Class in weka.gui.filters
  Customizer for the AddUserFields filter.
AddUserFieldsCustomizer() - Constructor for class weka.gui.filters.AddUserFieldsCustomizer
  Constructor
addValue(double, double) - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
  Add a new data value to the current estimator.
addValue(Value) - Method in class weka.core.pmml.jaxbbindings.DataField
addValue(double, double, double) - Method in interface weka.estimators.ConditionalEstimator
  Add a new data value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.DDConditionalEstimator
  Add a new data value to the current estimator.
addValue(double, double) - Method in class weka.estimators.DiscreteEstimator
  Add a new data value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.DKConditionalEstimator
  Add a new data value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.DNConditionalEstimator
  Add a new data value to the current estimator.
addValue(double, double) - Method in class weka.estimators.Estimator
  Add a new data value to the current estimator.
addValue(double, double) - Method in interface weka.estimators.IncrementalEstimator
  Add one value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.KDConditionalEstimator
  Add a new data value to the current estimator.
addValue(double, double) - Method in class weka.estimators.KernelEstimator
  Add a new data value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.KKConditionalEstimator
  Add a new data value to the current estimator.
addValue(double, double) - Method in class weka.estimators.MahalanobisEstimator
  Add a new data value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.NDConditionalEstimator
  Add a new data value to the current estimator.
addValue(double, double, double) - Method in class weka.estimators.NNConditionalEstimator
  Add a new data value to the current estimator.
addValue(double, double) - Method in class weka.estimators.NormalEstimator
  Add a new data value to the current estimator.
addValue(double, double) - Method in class weka.estimators.PoissonEstimator
  Add a new data value to the current estimator.
addValue(double, double) - Method in interface weka.estimators.UnivariateDensityEstimator
  Adds a value to the density estimator.
addValue(double, double) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Adds a value to the density estimator.
addValue(double, double) - Method in interface weka.estimators.UnivariateIntervalEstimator
  Adds a value to the interval estimator.
addValue(double, double) - Method in class weka.estimators.UnivariateKernelEstimator
  Adds a value to the density estimator.
addValue(double, double) - Method in class weka.estimators.UnivariateMixtureEstimator
  Adds a value to the density estimator.
addValue(double, double) - Method in class weka.estimators.UnivariateNormalEstimator
  Adds a value to the density estimator.
addValue(double, double) - Method in interface weka.estimators.UnivariateQuantileEstimator
  Adds a value to the interval estimator.
addValues(Instances, int) - Method in class weka.estimators.Estimator
  Initialize the estimator with a new dataset.
addValues(Instances, int, double, double, double) - Method in class weka.estimators.Estimator
  Initialize the estimator with all values of one attribute of a dataset.
addValues(Instances, int, int, int) - Method in class weka.estimators.Estimator
  Initialize the estimator using only the instance of one class.
addValues(Instances, int, int, int, double, double) - Method in class weka.estimators.Estimator
  Initialize the estimator using only the instance of one class.
AddValues - Class in weka.filters.unsupervised.attribute
  Adds the labels from the given list to an attribute if they are missing.
AddValues() - Constructor for class weka.filters.unsupervised.attribute.AddValues
addVariable(String, String) - Method in class weka.core.Environment
  Add a variable to the internal map of this properties object.
addVariableSystemWide(String, String) - Method in class weka.core.Environment
  Add a a variable to the internal map of this properties object and to the global system-wide environment;
addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.AbstractDataSource
  Add a vetoable change listener to this bean
addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.CostBenefitAnalysis
addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.DataVisualizer
  Add a vetoable change listener to this bean
addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.GraphViewer
  Add a vetoable change listener to this bean
addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.ModelPerformanceChart
  Add a vetoable change listener to this bean
addVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.TextViewer
  Add a vetoable change listener to this bean
addVisualizableErrorListener(VisualizableErrorListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Add a visualizable error listener
addWeights(Instance, double[]) - Method in class weka.classifiers.trees.j48.Distribution
  Adds given instance to all bags weighting it according to given weights.
adjustCenter(double) - Method in class weka.gui.treevisualizer.Node
  Will increase or decrease the postion of center.
adjustWeightsTipText() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Returns the tip text for this property
ADNode - Class in weka.classifiers.bayes.net
  The ADNode class implements the ADTree datastructure which increases the speed with which sub-contingency tables can be constructed from a data set in an Instances object.
ADNode() - Constructor for class weka.classifiers.bayes.net.ADNode
  Creates new ADNode
advanceCounters() - Method in class weka.experiment.Experiment
  Increments iteration counters appropriately.
advanceCounters() - Method in class weka.experiment.RemoteExperiment
  overides the one in Experiment
aggregate(Evaluation) - Method in class weka.classifiers.AggregateableEvaluation
  Adds the statistics encapsulated in the supplied Evaluation object into this one.
aggregate(NaiveBayes) - Method in class weka.classifiers.bayes.NaiveBayes
aggregate(NaiveBayesMultinomialText) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
aggregate(Evaluation) - Method in class weka.classifiers.evaluation.AggregateableEvaluation
  Adds the statistics encapsulated in the supplied Evaluation object into this one.
aggregate(Logistic) - Method in class weka.classifiers.functions.Logistic
  Aggregate an object with this one
aggregate(SGD) - Method in class weka.classifiers.functions.SGD
  Aggregate an object with this one
aggregate(SGDText) - Method in class weka.classifiers.functions.SGDText
  Aggregate an object with this one
aggregate(Bagging) - Method in class weka.classifiers.meta.Bagging
  Aggregate an object with this one
aggregate(Classifier) - Method in class weka.classifiers.meta.Vote
  Aggregate an object with this one
aggregate(RandomForest) - Method in class weka.classifiers.trees.RandomForest
aggregate(E) - Method in interface weka.core.Aggregateable
  Aggregate an object with this one
Aggregate - Class in weka.core.pmml.jaxbbindings
  Java class for Aggregate element declaration.
Aggregate() - Constructor for class weka.core.pmml.jaxbbindings.Aggregate
aggregate(DiscreteEstimator) - Method in class weka.estimators.DiscreteEstimator
aggregate(KernelEstimator) - Method in class weka.estimators.KernelEstimator
aggregate(NormalEstimator) - Method in class weka.estimators.NormalEstimator
Aggregateable<E> - Interface in weka.core
  Interface to something that can aggregate an object of the same type with itself.
AggregateableEvaluation - Class in weka.classifiers
  Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.
AggregateableEvaluation(Instances) - Constructor for class weka.classifiers.AggregateableEvaluation
  Constructs a new AggregateableEvaluation object
AggregateableEvaluation(Instances, CostMatrix) - Constructor for class weka.classifiers.AggregateableEvaluation
  Constructs a new AggregateableEvaluation object
AggregateableEvaluation(Evaluation) - Constructor for class weka.classifiers.AggregateableEvaluation
  Constructs a new AggregateableEvaluation object based on an Evaluation object
AggregateableEvaluation - Class in weka.classifiers.evaluation
  Subclass of Evaluation that provides a method for aggregating the results stored in another Evaluation object.
AggregateableEvaluation(Instances) - Constructor for class weka.classifiers.evaluation.AggregateableEvaluation
  Constructs a new AggregateableEvaluation object
AggregateableEvaluation(Instances, CostMatrix) - Constructor for class weka.classifiers.evaluation.AggregateableEvaluation
  Constructs a new AggregateableEvaluation object
AggregateableEvaluation(Evaluation) - Constructor for class weka.classifiers.evaluation.AggregateableEvaluation
  Constructs a new AggregateableEvaluation object based on an Evaluation object
aggregateCanopies(List<Canopy>, double, double, NormalizableDistance, Filter, int) - Static method in class weka.clusterers.Canopy
  Aggregate the canopies from a list of Canopy clusterers together into one final model.
Agrawal - Class in weka.datagenerators.classifiers.classification
  Generates a people database and is based on the paper by Agrawal et al.:
  R.
Agrawal() - Constructor for class weka.datagenerators.classifiers.classification.Agrawal
  initializes the generator with default values
AIC - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
AlgorithmListPanel - Class in weka.gui.experiment
  This panel controls setting a list of algorithms for an experiment to iterate over.
AlgorithmListPanel(Experiment) - Constructor for class weka.gui.experiment.AlgorithmListPanel
  Creates the algorithm list panel with the given experiment.
AlgorithmListPanel() - Constructor for class weka.gui.experiment.AlgorithmListPanel
  Create the algorithm list panel initially disabled.
AlgorithmListPanel.ObjectCellRenderer - Class in weka.gui.experiment
  Class required to show the Classifiers nicely in the list
AlgorithmListPanel.ObjectCellRenderer() - Constructor for class weka.gui.experiment.AlgorithmListPanel.ObjectCellRenderer
AlgVector - Class in weka.core
  Class for performing operations on an algebraic vector of floating-point values.
AlgVector(int) - Constructor for class weka.core.AlgVector
  Constructs a vector and initializes it with default values.
AlgVector(double[]) - Constructor for class weka.core.AlgVector
  Constructs a vector using a given array.
AlgVector(Instances, Random) - Constructor for class weka.core.AlgVector
  Constructs a vector using a given data format.
AlgVector(Instance) - Constructor for class weka.core.AlgVector
  Constructs a vector using an instance.
alignBottom(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  align set of nodes with the bottom most node in the list
alignLeft(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  align set of nodes with the left most node in the list
alignRight(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  align set of nodes with the right most node in the list
alignTop(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  align set of nodes with the top most node in the list
ALL - Static variable in class weka.core.Debug
  the log level All
AllFilter - Class in weka.filters
  A simple instance filter that passes all instances directly through.
AllFilter() - Constructor for class weka.filters.AllFilter
AllJavadoc - Class in weka.core
  Applies all known Javadoc-derived classes to a source file.
AllJavadoc() - Constructor for class weka.core.AllJavadoc
allowAccessToFullInputFormat() - Method in class weka.filters.SimpleBatchFilter
  Returns whether to allow the determineOutputFormat(Instances) method access to the full dataset rather than just the header.
allowAccessToFullInputFormat() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  We need access to the full input data in determineOutputFormat.
allowAccessToFullInputFormat() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  We need access to the full input data in determineOutputFormat.
allowed() - Method in class weka.core.xml.PropertyHandler
  returns an enumeration of the classnames for which only certain properties (display names) are allowed
allowUnclassifiedInstancesTipText() - Method in class weka.classifiers.trees.RandomTree
  Returns the tip text for this property
AlphabeticTokenizer - Class in weka.core.tokenizers
  Alphabetic string tokenizer, tokens are to be formed only from contiguous alphabetic sequences.
AlphabeticTokenizer() - Constructor for class weka.core.tokenizers.AlphabeticTokenizer
alphaTipText() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
Alternate - Class in weka.core.pmml.jaxbbindings
  Java class for Alternate element declaration.
Alternate() - Constructor for class weka.core.pmml.jaxbbindings.Alternate
amplitudeTipText() - Method in class weka.datagenerators.classifiers.regression.Expression
  Returns the tip text for this property
amplitudeTipText() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Returns the tip text for this property
and(Capabilities) - Method in class weka.core.Capabilities
  performs an AND conjunction with the capabilities of the given Capabilities object and updates itself
AND - Static variable in interface weka.core.mathematicalexpression.sym
AND - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
Annotation - Class in weka.core.pmml.jaxbbindings
  Java class for Annotation element declaration.
Annotation() - Constructor for class weka.core.pmml.jaxbbindings.Annotation
Anova - Class in weka.core.pmml.jaxbbindings
  Java class for Anova element declaration.
Anova() - Constructor for class weka.core.pmml.jaxbbindings.Anova
AnovaRow - Class in weka.core.pmml.jaxbbindings
  Java class for AnovaRow element declaration.
AnovaRow() - Constructor for class weka.core.pmml.jaxbbindings.AnovaRow
AntecedentSequence - Class in weka.core.pmml.jaxbbindings
  Java class for AntecedentSequence element declaration.
AntecedentSequence() - Constructor for class weka.core.pmml.jaxbbindings.AntecedentSequence
AnyDistribution - Class in weka.core.pmml.jaxbbindings
  Java class for AnyDistribution element declaration.
AnyDistribution() - Constructor for class weka.core.pmml.jaxbbindings.AnyDistribution
append(String, String) - Method in class weka.gui.sql.InfoPanel
  adds the given message to the end of the list (with the associated icon at the beginning)
append(Object) - Method in class weka.gui.sql.InfoPanel
  adds the given message to the end of the list
appendBeans(JComponent, Vector<Object>, int) - Static method in class weka.gui.beans.BeanInstance
appendConnections(Vector<BeanConnection>, int) - Static method in class weka.gui.beans.BeanConnection
  Append the supplied connections to the list for the given tab index
appendElements(Collection<? extends E>) - Method in class weka.core.FastVector
  Deprecated.
  Appends all elements of the supplied vector to this vector.
Appender - Class in weka.gui.beans
  A bean that appends multiple incoming data connections into a single data set.
Appender() - Constructor for class weka.gui.beans.Appender
  Constructs a new Appender.
AppenderBeanInfo - Class in weka.gui.beans
  Bean info class for the appender bean
AppenderBeanInfo() - Constructor for class weka.gui.beans.AppenderBeanInfo
appendPredictedProbabilitiesTipText() - Method in class weka.gui.beans.PredictionAppender
  Return a tip text suitable for displaying in a GUI
Application - Class in weka.core.pmml.jaxbbindings
  Java class for Application element declaration.
Application() - Constructor for class weka.core.pmml.jaxbbindings.Application
Application(String, String) - Constructor for class weka.core.pmml.jaxbbindings.Application
appliesToNominalClass() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
  Return true if this evaluation metric can be computed when the class is nominal
appliesToNumericClass() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
  Return true if this evaluation metric can be computed when the class is numeric
Apply - Class in weka.core.pmml.jaxbbindings
  Java class for Apply element declaration.
Apply() - Constructor for class weka.core.pmml.jaxbbindings.Apply
apply(Instance) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Apply this rule to the supplied instance
apply(Instance) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Apply this rule to the supplied instance
applyClassifier(PMMLModel, Instances) - Static method in class weka.core.pmml.PMMLFactory
applyCostMatrix(Instances, Random) - Method in class weka.classifiers.CostMatrix
  Applies the cost matrix to a set of instances.
applyMinMaxRescaleCast(double) - Method in class weka.core.pmml.TargetMetaInfo
  Apply min and max, rescaleFactor, rescaleConstant and castInteger - in that order (where defined).
applyMissingAndOutlierTreatments(double[]) - Method in class weka.core.pmml.MiningSchema
  Apply both missing and outlier treatments to an incoming instance.
applyMissingValuesTreatment(double[]) - Method in class weka.core.pmml.MiningSchema
  Apply the missing value treatments (if any) to an incoming instance.
applyMissingValueTreatment(double) - Method in class weka.core.pmml.MiningFieldMetaInfo
  Apply the missing value treatment method for this field.
applyOutlierTreatment(double) - Method in class weka.core.pmml.MiningFieldMetaInfo
  Apply the outlier treatment method for this field.
applyOutlierTreatment(double[]) - Method in class weka.core.pmml.MiningSchema
  Apply the outlier treatment methods (if any) to an incoming instance.
applyRules(Instance) - Method in class weka.gui.beans.SubstringReplacerRules
APPROVE_OPTION - Static variable in class weka.gui.experiment.OutputFormatDialog
  Signifies an OK property selection.
APPROVE_OPTION - Static variable in class weka.gui.ListSelectorDialog
  Signifies an OK property selection
APPROVE_OPTION - Static variable in class weka.gui.PropertySelectorDialog
  Signifies an OK property selection
APPROVE_OPTION - Static variable in class weka.gui.ViewerDialog
  Signifies an OK property selection
Apriori - Class in weka.associations
  Class implementing an Apriori-type algorithm.
Apriori() - Constructor for class weka.associations.Apriori
  Constructor that allows to sets default values for the minimum confidence and the maximum number of rules the minimum confidence.
AprioriItemSet - Class in weka.associations
  Class for storing a set of items.
AprioriItemSet(int) - Constructor for class weka.associations.AprioriItemSet
  Constructor
areaUnderPRC(int) - Method in class weka.classifiers.Evaluation
  Returns the area under precision-recall curve (AUPRC) for those predictions that have been collected in the evaluateClassifier(Classifier, Instances) method.
areaUnderPRC(int) - Method in class weka.classifiers.evaluation.Evaluation
  Returns the area under precision-recall curve (AUPRC) for those predictions that have been collected in the evaluateClassifier(Classifier, Instances) method.
areaUnderROC(int) - Method in class weka.classifiers.Evaluation
  Returns the area under ROC for those predictions that have been collected in the evaluateClassifier(Classifier, Instances) method.
areaUnderROC(int) - Method in class weka.classifiers.evaluation.Evaluation
  Returns the area under ROC for those predictions that have been collected in the evaluateClassifier(Classifier, Instances) method.
ARFF_ATTRIBUTE - Static variable in class weka.core.Attribute
  The keyword used to denote the start of an arff attribute declaration
ARFF_ATTRIBUTE_DATE - Static variable in class weka.core.Attribute
  The keyword used to denote a date attribute
ARFF_ATTRIBUTE_INTEGER - Static variable in class weka.core.Attribute
  A keyword used to denote a numeric attribute
ARFF_ATTRIBUTE_NUMERIC - Static variable in class weka.core.Attribute
  A keyword used to denote a numeric attribute
ARFF_ATTRIBUTE_REAL - Static variable in class weka.core.Attribute
  A keyword used to denote a numeric attribute
ARFF_ATTRIBUTE_RELATIONAL - Static variable in class weka.core.Attribute
  The keyword used to denote a relation-valued attribute
ARFF_ATTRIBUTE_STRING - Static variable in class weka.core.Attribute
  The keyword used to denote a string attribute
ARFF_DATA - Static variable in class weka.core.Instances
  The keyword used to denote the start of the arff data section
ARFF_END_SUBRELATION - Static variable in class weka.core.Attribute
  The keyword used to denote the end of the declaration of a subrelation
ARFF_RELATION - Static variable in class weka.core.Instances
  The keyword used to denote the start of an arff header
ArffLoader - Class in weka.core.converters
  Reads a source that is in arff (attribute relation file format) format.
ArffLoader() - Constructor for class weka.core.converters.ArffLoader
ArffLoader.ArffReader - Class in weka.core.converters
  Reads data from an ARFF file, either in incremental or batch mode.
ArffLoader.ArffReader(Reader) - Constructor for class weka.core.converters.ArffLoader.ArffReader
  Reads the data completely from the reader.
ArffLoader.ArffReader(Reader, int) - Constructor for class weka.core.converters.ArffLoader.ArffReader
ArffLoader.ArffReader(Reader, int, boolean) - Constructor for class weka.core.converters.ArffLoader.ArffReader
  Reads only the header and reserves the specified space for instances.
ArffLoader.ArffReader(Reader, Instances, int, String...) - Constructor for class weka.core.converters.ArffLoader.ArffReader
  Reads the data without header according to the specified template.
ArffLoader.ArffReader(Reader, Instances, int, int, String...) - Constructor for class weka.core.converters.ArffLoader.ArffReader
  Initializes the reader without reading the header according to the specified template.
ArffLoader.ArffReader(Reader, Instances, int, int, boolean, String...) - Constructor for class weka.core.converters.ArffLoader.ArffReader
  Initializes the reader without reading the header according to the specified template.
ArffPanel - Class in weka.gui.arffviewer
  A Panel representing an ARFF-Table and the associated filename.
ArffPanel() - Constructor for class weka.gui.arffviewer.ArffPanel
  initializes the panel with no data
ArffPanel(String, AbstractFileLoader...) - Constructor for class weka.gui.arffviewer.ArffPanel
  initializes the panel and loads the specified file
ArffPanel(Instances) - Constructor for class weka.gui.arffviewer.ArffPanel
  initializes the panel with the given data
ArffSaver - Class in weka.core.converters
  Writes to a destination in arff text format.
ArffSaver() - Constructor for class weka.core.converters.ArffSaver
  Constructor
ArffSortedTableModel - Class in weka.gui.arffviewer
  A sorter for the ARFF-Viewer - necessary because of the custom CellRenderer.
ArffSortedTableModel(String, AbstractFileLoader...) - Constructor for class weka.gui.arffviewer.ArffSortedTableModel
  initializes the sorter w/o a model, but loads the given file and creates from that a model
ArffSortedTableModel(Instances) - Constructor for class weka.gui.arffviewer.ArffSortedTableModel
  initializes the sorter w/o a model, but uses the given data to create a model from that
ArffSortedTableModel(TableModel) - Constructor for class weka.gui.arffviewer.ArffSortedTableModel
  initializes the sorter with the given model
ArffTable - Class in weka.gui.arffviewer
  A specialized JTable for the Arff-Viewer.
ArffTable() - Constructor for class weka.gui.arffviewer.ArffTable
  initializes with no model
ArffTable(TableModel) - Constructor for class weka.gui.arffviewer.ArffTable
  initializes with the given model
ArffTableCellRenderer - Class in weka.gui.arffviewer
  Handles the background colors for missing values differently than the DefaultTableCellRenderer.
ArffTableCellRenderer() - Constructor for class weka.gui.arffviewer.ArffTableCellRenderer
  initializes the Renderer with a standard color
ArffTableCellRenderer(Color, Color) - Constructor for class weka.gui.arffviewer.ArffTableCellRenderer
  initializes the Renderer with the given colors
ArffTableCellRenderer(Color, Color, Color, Color) - Constructor for class weka.gui.arffviewer.ArffTableCellRenderer
  initializes the Renderer with the given colors
ArffTableModel - Class in weka.gui.arffviewer
  The model for the Arff-Viewer.
ArffTableModel(String, AbstractFileLoader...) - Constructor for class weka.gui.arffviewer.ArffTableModel
  initializes the object and loads the given file
ArffTableModel(Instances) - Constructor for class weka.gui.arffviewer.ArffTableModel
  initializes the model with the given data
ArffViewer - Class in weka.gui.arffviewer
  A little tool for viewing ARFF files.
ArffViewer() - Constructor for class weka.gui.arffviewer.ArffViewer
  initializes the object
ArffViewerMainPanel - Class in weka.gui.arffviewer
  The main panel of the ArffViewer.
ArffViewerMainPanel(Container) - Constructor for class weka.gui.arffviewer.ArffViewerMainPanel
  initializes the object
Array - Class in weka.core.pmml
  Class for encapsulating a PMML Array element.
Array.ArrayType - Enum in weka.core.pmml
arrayLeftDivide(Matrix) - Method in class weka.core.matrix.Matrix
  Element-by-element left division, C = A.\B
arrayLeftDivideEquals(Matrix) - Method in class weka.core.matrix.Matrix
  Element-by-element left division in place, A = A.\B
arrayRightDivide(Matrix) - Method in class weka.core.matrix.Matrix
  Element-by-element right division, C = A./B
arrayRightDivideEquals(Matrix) - Method in class weka.core.matrix.Matrix
  Element-by-element right division in place, A = A./B
arrayTimes(Matrix) - Method in class weka.core.matrix.Matrix
  Element-by-element multiplication, C = A.*B
arrayTimesEquals(Matrix) - Method in class weka.core.matrix.Matrix
  Element-by-element multiplication in place, A = A.*B
arrayToString(Object) - Static method in class weka.core.Utils
  Returns the given Array in a string representation.
arrayToString(Object[]) - Static method in class weka.experiment.DatabaseUtils
  Converts an array of objects to a string by inserting a space between each element.
ArrayType - Class in weka.core.pmml.jaxbbindings
  Java class for ArrayType complex type.
ArrayType() - Constructor for class weka.core.pmml.jaxbbindings.ArrayType
ASEvaluation - Class in weka.attributeSelection
  Abstract attribute selection evaluation class
ASEvaluation() - Constructor for class weka.attributeSelection.ASEvaluation
ASSearch - Class in weka.attributeSelection
  Abstract attribute selection search class.
ASSearch() - Constructor for class weka.attributeSelection.ASSearch
assign(Capabilities) - Method in class weka.core.Capabilities
  retrieves the data from the given Capabilities object
assign(TestInstances) - Method in class weka.core.TestInstances
  updates itself with all the settings from the given TestInstances object
assign(Tester) - Method in class weka.experiment.PairedTTester
  retrieves all the settings from the given Tester
assign(ResultMatrix) - Method in class weka.experiment.ResultMatrix
  acquires the data from the given matrix.
assign(Tester) - Method in interface weka.experiment.Tester
  retrieves all the settings from the given Tester
assignCanopies(Instance) - Method in class weka.clusterers.Canopy
  Uses T1 distance to assign canopies to the supplied instance.
assignIDs(int) - Method in class weka.classifiers.trees.j48.ClassifierTree
  Assigns a uniqe id to every node in the tree.
assignIDs(int) - Method in class weka.classifiers.trees.lmt.LMTNode
  Assigns unique IDs to all nodes in the tree
assignLeafModelNumbers(int) - Method in class weka.classifiers.trees.lmt.LMTNode
  Assigns numbers to the logistic regression models at the leaves of the tree
assignSubToCenters(KDTreeNode, Instances, int[], int[]) - Method in class weka.core.neighboursearch.KDTree
  Assigns instances of this node to center.
associatedConnections(Vector<Object>, Integer...) - Static method in class weka.gui.beans.BeanConnection
  Returns a vector of BeanConnections associated with the supplied vector of BeanInstances, i.e.
AssociationModel - Class in weka.core.pmml.jaxbbindings
  Java class for AssociationModel element declaration.
AssociationModel() - Constructor for class weka.core.pmml.jaxbbindings.AssociationModel
AssociationRule - Class in weka.associations
  Abstract class for storing and manipulating an association rule.
AssociationRule() - Constructor for class weka.associations.AssociationRule
AssociationRule - Class in weka.core.pmml.jaxbbindings
  Java class for AssociationRule element declaration.
AssociationRule() - Constructor for class weka.core.pmml.jaxbbindings.AssociationRule
AssociationRules - Class in weka.associations
  Class encapsulating a list of association rules.
AssociationRules(List<AssociationRule>, String) - Constructor for class weka.associations.AssociationRules
  Constructs a new AssociationRules.
AssociationRules(List<AssociationRule>, Object) - Constructor for class weka.associations.AssociationRules
  Constructs a new AssociationRules.
AssociationRules(List<AssociationRule>) - Constructor for class weka.associations.AssociationRules
  Constructs a new AssociationRules.
AssociationRulesProducer - Interface in weka.associations
  Interface to something that can provide a list of AssociationRules.
AssociationRuleVisualizePlugin - Interface in weka.gui.visualize.plugins
  Interface implemented by classes loaded dynamically to visualize association results in the explorer.
AssociationsPanel - Class in weka.gui.explorer
  This panel allows the user to select, configure, and run a scheme that learns associations.
AssociationsPanel() - Constructor for class weka.gui.explorer.AssociationsPanel
  Creates the associator panel
Associator - Interface in weka.associations
Associator - Class in weka.gui.beans
  Bean that wraps around weka.associations.
Associator() - Constructor for class weka.gui.beans.Associator
  Creates a new `Associator` instance.
AssociatorBeanInfo - Class in weka.gui.beans
  BeanInfo class for the Associator wrapper bean
AssociatorBeanInfo() - Constructor for class weka.gui.beans.AssociatorBeanInfo
AssociatorCustomizer - Class in weka.gui.beans
  GUI customizer for the associator wrapper bean
AssociatorCustomizer() - Constructor for class weka.gui.beans.AssociatorCustomizer
AssociatorEvaluation - Class in weka.associations
  Class for evaluating Associaters.
AssociatorEvaluation() - Constructor for class weka.associations.AssociatorEvaluation
  default constructor
associatorTipText() - Method in class weka.associations.SingleAssociatorEnhancer
  Returns the tip text for this property
ATT_ARRAY - Static variable in class weka.core.xml.XMLSerialization
  the tag whether array or not (yes/no)
ATT_ARRAY_DEFAULT - Static variable in class weka.core.xml.XMLSerialization
  default value for attribute ATT_ARRAY
ATT_CLASS - Static variable in class weka.core.xml.XMLInstances
  the class attribute
ATT_CLASS - Static variable in class weka.core.xml.XMLSerialization
  the tag for the class
ATT_FORMAT - Static variable in class weka.core.xml.XMLInstances
  the format attribute (for date attributes)
ATT_INDEX - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the index attribute.
ATT_INDEX - Static variable in class weka.core.xml.XMLInstances
  the index attribute
ATT_MISSING - Static variable in class weka.core.xml.XMLInstances
  the missing attribute
ATT_NAME - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the "name" attribute.
ATT_NAME - Static variable in class weka.core.xml.XMLDocument
  the "name" attribute.
ATT_NAME - Static variable in class weka.core.xml.XMLOptions
  the name attribute.
ATT_NAME - Static variable in class weka.core.xml.XMLSerialization
  the tag for the name
ATT_NULL - Static variable in class weka.core.xml.XMLSerialization
  the tag whether null or not (yes/no)
ATT_NULL_DEFAULT - Static variable in class weka.core.xml.XMLSerialization
  default value for attribute ATT_NULL
ATT_PREDICTED - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the predicted attribute.
ATT_PRIMITIVE - Static variable in class weka.core.xml.XMLSerialization
  the tag whether primitive or not (yes/no)
ATT_PRIMITIVE_DEFAULT - Static variable in class weka.core.xml.XMLSerialization
  default value for attribute ATT_PRIMITIVE
ATT_TYPE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the "type" attribute.
ATT_TYPE - Static variable in class weka.core.xml.XMLInstances
  the type attribute
ATT_TYPE - Static variable in class weka.core.xml.XMLOptions
  the type attribute.
ATT_VALUE - Static variable in class weka.core.xml.XMLOptions
  the value attribute.
ATT_VERSION - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the "version" attribute.
ATT_VERSION - Static variable in class weka.core.xml.XMLDocument
  the "version" attribute.
ATT_VERSION - Static variable in class weka.core.xml.XMLInstances
  the version attribute
ATT_VERSION - Static variable in class weka.core.xml.XMLSerialization
  the version attribute
ATT_WEIGHT - Static variable in class weka.core.xml.XMLInstances
  the weight attribute
attIndex() - Method in class weka.classifiers.trees.j48.BinC45Split
  Returns index of attribute for which split was generated.
attIndex() - Method in class weka.classifiers.trees.j48.C45Split
  Returns index of attribute for which split was generated.
attIndex() - Method in class weka.classifiers.trees.j48.NBTreeSplit
  Returns index of attribute for which split was generated.
attList_IrrTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Returns the tip text for this property
attribute(int) - Method in class weka.core.AbstractInstance
  Returns the attribute with the given index.
Attribute - Class in weka.core
  Class for handling an attribute.
Attribute(String) - Constructor for class weka.core.Attribute
  Constructor for a numeric attribute.
Attribute(String, ProtectedProperties) - Constructor for class weka.core.Attribute
  Constructor for a numeric attribute, where metadata is supplied.
Attribute(String, String) - Constructor for class weka.core.Attribute
  Constructor for a date attribute.
Attribute(String, String, ProtectedProperties) - Constructor for class weka.core.Attribute
  Constructor for a date attribute, where metadata is supplied.
Attribute(String, List<String>) - Constructor for class weka.core.Attribute
  Constructor for nominal attributes and string attributes.
Attribute(String, List<String>, ProtectedProperties) - Constructor for class weka.core.Attribute
  Constructor for nominal attributes and string attributes, where metadata is supplied.
Attribute(String, Instances) - Constructor for class weka.core.Attribute
  Constructor for relation-valued attributes.
Attribute(String, Instances, ProtectedProperties) - Constructor for class weka.core.Attribute
  Constructor for relation-valued attributes.
Attribute(String, int) - Constructor for class weka.core.Attribute
  Constructor for a numeric attribute with a particular index.
Attribute(String, String, int) - Constructor for class weka.core.Attribute
  Constructor for date attributes with a particular index.
Attribute(String, List<String>, int) - Constructor for class weka.core.Attribute
  Constructor for nominal attributes and string attributes with a particular index.
Attribute(String, Instances, int) - Constructor for class weka.core.Attribute
  Constructor for a relation-valued attribute with a particular index.
attribute(int) - Method in interface weka.core.Instance
  Returns the attribute with the given index.
attribute(int) - Method in class weka.core.Instances
  Returns an attribute.
attribute(String) - Method in class weka.core.Instances
  Returns an attribute given its name.
Attribute - Class in weka.core.pmml.jaxbbindings
  Java class for Attribute element declaration.
Attribute() - Constructor for class weka.core.pmml.jaxbbindings.Attribute
ATTRIBUTE - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
attributeAsClass() - Method in class weka.gui.arffviewer.ArffPanel
  sets the current attribute as class attribute, i.e.
attributeAsClass() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  sets the current selected Attribute as class attribute, i.e.
attributeAsClassAt(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  sets the attribute at the given col index as the new class attribute
attributeAsClassAt(int) - Method in class weka.gui.arffviewer.ArffTableModel
  sets the attribute at the given col index as the new class attribute, i.e.
attributeCaseFix(String) - Method in class weka.experiment.DatabaseUtils
  returns key column headings in their original case.
attributeCaseFix(String) - Method in interface weka.experiment.InstanceQueryAdapter
  returns key column headings in their original case.
AttributeEvaluator - Interface in weka.attributeSelection
  Interface for classes that evaluate attributes individually.
AttributeExpression - Class in weka.core
  A general purpose class for parsing mathematical expressions involving attribute values.
AttributeExpression() - Constructor for class weka.core.AttributeExpression
attributeIndexesTipText() - Method in class weka.filters.unsupervised.attribute.NominalToString
  Returns the tip text for this property
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.Add
  Returns the tip text for this property.
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Returns the tip text for this property
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.AddValues
  Returns the tip text for this property
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Returns the tip text for this property.
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
attributeIndexTipText() - Method in class weka.filters.unsupervised.attribute.SwapValues
attributeIndexTipText() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Returns the tip text for this property
attributeIndexTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.core.NormalizableDistance
  Returns the tip text for this property.
attributeIndicesTipText() - Method in class weka.filters.supervised.attribute.Discretize
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Copy
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.FirstOrder
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Remove
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Returns the tip text for this property.
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.Reorder
  Returns the tip text for this property
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.SortLabels
  Returns the tip text for this property.
attributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
AttributeListPanel - Class in weka.gui
  Creates a panel that displays the attributes contained in a set of instances, letting the user select a single attribute for inspection.
AttributeListPanel() - Constructor for class weka.gui.AttributeListPanel
  Creates the attribute selection panel with no initial instances.
AttributeLocator - Class in weka.core
  This class locates and records the indices of a certain type of attributes, recursively in case of Relational attributes.
AttributeLocator(Instances, int) - Constructor for class weka.core.AttributeLocator
  Initializes the AttributeLocator with the given data for the specified type of attribute.
AttributeLocator(Instances, int, int, int) - Constructor for class weka.core.AttributeLocator
  Initializes the AttributeLocator with the given data for the specified type of attribute.
AttributeLocator(Instances, int, int[]) - Constructor for class weka.core.AttributeLocator
  initializes the AttributeLocator with the given data for the specified type of attribute.
AttributeMetaInfo - Class in weka.core
AttributeMetaInfo(ProtectedProperties, Attribute) - Constructor for class weka.core.AttributeMetaInfo
  Creates the meta info object based on the given meta data.
attributeNamePrefixTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
attributeNames() - Method in class weka.classifiers.functions.SMO
  Returns the attribute names.
attributeNameTipText() - Method in class weka.filters.unsupervised.attribute.Add
  Returns the tip text for this property.
attributeNameTipText() - Method in class weka.filters.unsupervised.attribute.AddID
  Returns the tip text for this property
AttributePanel - Class in weka.gui.visualize
  This panel displays one dimensional views of the attributes in a dataset.
AttributePanel() - Constructor for class weka.gui.visualize.AttributePanel
AttributePanel(Color) - Constructor for class weka.gui.visualize.AttributePanel
  This constructs an attributePanel.
AttributePanelEvent - Class in weka.gui.visualize
  Class encapsulating a change in the AttributePanel's selected x and y attributes.
AttributePanelEvent(boolean, boolean, int) - Constructor for class weka.gui.visualize.AttributePanelEvent
  Constructor
AttributePanelListener - Interface in weka.gui.visualize
  Interface for classes that want to listen for Attribute selection changes in the attribute panel
attributeRangeTipText() - Method in class weka.filters.unsupervised.attribute.StringToNominal
ATTRIBUTES - Static variable in class weka.core.json.JSONInstances
  the attributes object.
AttributeSelectedClassifier - Class in weka.classifiers.meta
  Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier.
AttributeSelectedClassifier() - Constructor for class weka.classifiers.meta.AttributeSelectedClassifier
  Default constructor.
AttributeSelection - Class in weka.attributeSelection
  Attribute selection class.
AttributeSelection() - Constructor for class weka.attributeSelection.AttributeSelection
  constructor.
AttributeSelection - Class in weka.filters.supervised.attribute
  A supervised attribute filter that can be used to select attributes.
AttributeSelection() - Constructor for class weka.filters.supervised.attribute.AttributeSelection
  Constructor
attributeSelectionChange(AttributePanelEvent) - Method in interface weka.gui.visualize.AttributePanelListener
  Called when the user clicks on an attribute bar
attributeSelectionMethodTipText() - Method in class weka.classifiers.functions.LinearRegression
  Returns the tip text for this property
AttributeSelectionPanel - Class in weka.gui
  Creates a panel that displays the attributes contained in a set of instances, letting the user toggle whether each attribute is selected or not (eg: so that unselected attributes can be removed before classification).
AttributeSelectionPanel() - Constructor for class weka.gui.AttributeSelectionPanel
  Creates the attribute selection panel with no initial instances.
AttributeSelectionPanel(boolean, boolean, boolean, boolean) - Constructor for class weka.gui.AttributeSelectionPanel
  Creates the attribute selection panel with no initial instances.
AttributeSelectionPanel - Class in weka.gui.explorer
  This panel allows the user to select and configure an attribute evaluator and a search method, set the attribute of the current dataset to be used as the class, and perform attribute selection using one of two selection modes (select using all the training data or perform a n-fold cross validation---on each trial selecting features using n-1 folds of the data).
AttributeSelectionPanel() - Constructor for class weka.gui.explorer.AttributeSelectionPanel
  Creates the classifier panel
AttributeSetEvaluator - Class in weka.attributeSelection
  Abstract attribute set evaluator.
AttributeSetEvaluator() - Constructor for class weka.attributeSelection.AttributeSetEvaluator
attributeSparse(int) - Method in class weka.core.AbstractInstance
  Returns the attribute with the given index in the sparse representation.
attributeSparse(int) - Method in interface weka.core.Instance
  Returns the attribute with the given index in the sparse representation.
attributeSpecsTipText() - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Returns the tip text for this property.
AttributeStats - Class in weka.core
  A Utility class that contains summary information on an the values that appear in a dataset for a particular attribute.
AttributeStats() - Constructor for class weka.core.AttributeStats
attributeStats(int) - Method in class weka.core.Instances
  Calculates summary statistics on the values that appear in this set of instances for a specified attribute.
attributesTipText() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns the tip text for this property.
attributesTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Tip text for this property suitable for displaying in the GUI.
attributesToString() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Make a string from the attribues list.
AttributeSummarizer - Class in weka.gui.beans
  Bean that encapsulates displays bar graph summaries for attributes in a data set.
AttributeSummarizer() - Constructor for class weka.gui.beans.AttributeSummarizer
  Creates a new `AttributeSummarizer` instance.
AttributeSummarizerBeanInfo - Class in weka.gui.beans
  Bean info class for the attribute summarizer bean
AttributeSummarizerBeanInfo() - Constructor for class weka.gui.beans.AttributeSummarizerBeanInfo
AttributeSummarizerCustomizer - Class in weka.gui.beans
  GUI customizer for attribute summarizer.
AttributeSummarizerCustomizer() - Constructor for class weka.gui.beans.AttributeSummarizerCustomizer
  Constructor
AttributeSummaryPanel - Class in weka.gui
  This panel displays summary statistics about an attribute: name, type number/% of missing/unique values, number of distinct values.
AttributeSummaryPanel() - Constructor for class weka.gui.AttributeSummaryPanel
  Creates the instances panel with no initial instances.
attributeToDoubleArray(int) - Method in class weka.core.Instances
  Gets the value of all instances in this dataset for a particular attribute.
AttributeTransformer - Interface in weka.attributeSelection
  Abstract attribute transformer.
attributeTypeTipText() - Method in class weka.filters.unsupervised.attribute.Add
  Returns the tip text for this property
attributeTypeTipText() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Returns the tip text for this property
attributeTypeToString(int) - Static method in class weka.core.CheckScheme
  returns a string representation of the attribute type
AttributeVisualizationPanel - Class in weka.gui
  Creates a panel that shows a visualization of an attribute in a dataset.
AttributeVisualizationPanel() - Constructor for class weka.gui.AttributeVisualizationPanel
  Constructor - If used then the class will not show the class selection combo box.
AttributeVisualizationPanel(boolean) - Constructor for class weka.gui.AttributeVisualizationPanel
  Constructor.
attrIndexRangeTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Returns the tip text for this property
attrSplit(int, Instances) - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
  Finds the best splitting point for an attribute in the instances
attrSplit(int, Instances) - Method in interface weka.classifiers.trees.m5.SplitEvaluate
  Finds the best splitting point for an attribute in the instances
attrSplit(int, Instances) - Method in class weka.classifiers.trees.m5.YongSplitInfo
  Finds the best splitting point for an attribute in the instances
autoBuildTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
autoKeyGenerationTipText() - Method in class weka.core.converters.DatabaseSaver
  Returns the tip text for this property.
AVERAGE_RULE - Static variable in class weka.classifiers.meta.Vote
  combination rule: Average of Probabilities
AveragingResultProducer - Class in weka.experiment
  Takes the results from a ResultProducer and submits the average to the result listener.
AveragingResultProducer() - Constructor for class weka.experiment.AveragingResultProducer
avgCost() - Method in class weka.classifiers.Evaluation
  Gets the average cost, that is, total cost of misclassifications (incorrect plus unclassified) over the total number of instances.
avgCost() - Method in class weka.classifiers.evaluation.Evaluation
  Gets the average cost, that is, total cost of misclassifications (incorrect plus unclassified) over the total number of instances.
avgProb - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
  used/reused to hold the average transformation probability

## B

B_ENTROPY - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
B_SPHERE - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
  Blend setting modes
backQuoteChars(String) - Static method in class weka.core.Utils
  Converts carriage returns and new lines in a string into \r and \n.
BACKUP_EXTENSION - Static variable in class weka.gui.scripting.Script
  the backup extension.
Bagging - Class in weka.classifiers.meta
  Class for bagging a classifier to reduce variance.
Bagging() - Constructor for class weka.classifiers.meta.Bagging
  Constructor.
bagSizePercentTipText() - Method in class weka.classifiers.meta.Bagging
  Returns the tip text for this property
balanceClassTipText() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Returns the tip text for this property
BallNode - Class in weka.core.neighboursearch.balltrees
  Class representing a node of a BallTree.
BallNode(int) - Constructor for class weka.core.neighboursearch.balltrees.BallNode
  Constructor.
BallNode(int, int, int) - Constructor for class weka.core.neighboursearch.balltrees.BallNode
  Creates a new instance of BallNode.
BallNode(int, int, int, Instance, double) - Constructor for class weka.core.neighboursearch.balltrees.BallNode
  Creates a new instance of BallNode.
BallSplitter - Class in weka.core.neighboursearch.balltrees
  Abstract class for splitting a ball tree's BallNode.
BallSplitter() - Constructor for class weka.core.neighboursearch.balltrees.BallSplitter
  default constructor.
BallSplitter(int[], Instances, EuclideanDistance) - Constructor for class weka.core.neighboursearch.balltrees.BallSplitter
  Creates a new instance of BallSplitter.
ballSplitterTipText() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
  Returns the tip text for this property.
BallTree - Class in weka.core.neighboursearch
  Class implementing the BallTree/Metric Tree algorithm for nearest neighbour search.
  The connection to dataset is only a reference.
BallTree() - Constructor for class weka.core.neighboursearch.BallTree
  Creates a new instance of BallTree.
BallTree(Instances) - Constructor for class weka.core.neighboursearch.BallTree
  Creates a new instance of BallTree.
BallTreeConstructor - Class in weka.core.neighboursearch.balltrees
  Abstract class for constructing a BallTree .
BallTreeConstructor() - Constructor for class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Creates a new instance of BallTreeConstructor.
ballTreeConstructorTipText() - Method in class weka.core.neighboursearch.BallTree
  Returns the tip text for this property.
BaseCumHazardTables - Class in weka.core.pmml.jaxbbindings
  Java class for BaseCumHazardTables element declaration.
BaseCumHazardTables() - Constructor for class weka.core.pmml.jaxbbindings.BaseCumHazardTables
Baseline - Class in weka.core.pmml.jaxbbindings
  Java class for Baseline element declaration.
Baseline() - Constructor for class weka.core.pmml.jaxbbindings.Baseline
BaselineCell - Class in weka.core.pmml.jaxbbindings
  Java class for BaselineCell element declaration.
BaselineCell() - Constructor for class weka.core.pmml.jaxbbindings.BaselineCell
BaselineModel - Class in weka.core.pmml.jaxbbindings
  Java class for BaselineModel element declaration.
BaselineModel() - Constructor for class weka.core.pmml.jaxbbindings.BaselineModel
BaselineStratum - Class in weka.core.pmml.jaxbbindings
  Java class for BaselineStratum element declaration.
BaselineStratum() - Constructor for class weka.core.pmml.jaxbbindings.BaselineStratum
BASELINETESTSTATISTIC - Enum in weka.core.pmml.jaxbbindings
  Java class for BASELINE-TEST-STATISTIC.
baseTipText() - Method in class weka.core.neighboursearch.CoverTree
  Returns the tip text for this property.
BATCH - Static variable in interface weka.core.converters.Loader
BATCH - Static variable in interface weka.core.converters.Saver
BATCH_FINISHED - Static variable in class weka.gui.beans.IncrementalClassifierEvent
BATCH_FINISHED - Static variable in class weka.gui.beans.InstanceEvent
BATCH_FINISHED - Static variable in class weka.gui.streams.InstanceEvent
  Specifies that the batch of instances is finished
BatchAssociationRulesEvent - Class in weka.gui.beans
  Class encapsulating a set of association rules.
BatchAssociationRulesEvent(Object, AssociationRules) - Constructor for class weka.gui.beans.BatchAssociationRulesEvent
  Creates a new `BatchAssociationRulesEvent` instance.
BatchAssociationRulesListener - Interface in weka.gui.beans
  Interface to something that can process a BatchAssociationRulesEvent.
BatchClassifierEvent - Class in weka.gui.beans
  Class encapsulating a built classifier and a batch of instances to test on.
BatchClassifierEvent(Object, Classifier, DataSetEvent, DataSetEvent, int, int) - Constructor for class weka.gui.beans.BatchClassifierEvent
  Creates a new `BatchClassifierEvent` instance.
BatchClassifierEvent(Object, Classifier, DataSetEvent, DataSetEvent, int, int, int, int) - Constructor for class weka.gui.beans.BatchClassifierEvent
  Creates a new `BatchClassifierEvent` instance.
BatchClassifierListener - Interface in weka.gui.beans
  Interface to something that can process a BatchClassifierEvent
BatchClustererEvent - Class in weka.gui.beans
  Class encapsulating a built clusterer and a batch of instances to test on.
BatchClustererEvent(Object, Clusterer, DataSetEvent, int, int, int) - Constructor for class weka.gui.beans.BatchClustererEvent
  Creates a new `BatchClustererEvent` instance.
BatchClustererListener - Interface in weka.gui.beans
  Interface to something that can process a BatchClustererEvent
BatchConverter - Interface in weka.core.converters
  Marker interface for a loader/saver that can retrieve instances in batch mode
batchFilterFile(Filter, String[]) - Static method in class weka.filters.Filter
  Method for testing filters ability to process multiple batches.
batchFinished() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
batchFinished() - Method in class weka.classifiers.functions.SGDText
batchFinished() - Method in interface weka.classifiers.UpdateableBatchProcessor
  Signal that the training data is finished (for now).
batchFinished() - Method in class weka.filters.Filter
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.MultiFilter
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.SimpleBatchFilter
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.SimpleStreamFilter
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.attribute.AttributeSelection
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.attribute.ClassOrder
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.attribute.Discretize
  Signifies that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.attribute.NominalToBinary
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.attribute.PartitionMembership
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.instance.Resample
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Signifies that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.AddCluster
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.AddID
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.Center
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.Discretize
  Signifies that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.MathExpression
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.NominalToString
  Signifies that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.Normalize
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.Standardize
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.StringToNominal
  Signifies that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.Randomize
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Signifies that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.RemoveRange
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.Resample
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.gui.streams.InstanceJoiner
  Signify that this batch of input to the filter is finished.
batchFinished() - Method in class weka.gui.streams.InstanceSavePanel
batchFinished() - Method in class weka.gui.streams.InstanceTable
batchFinished() - Method in class weka.gui.streams.InstanceViewer
BatchPredictor - Interface in weka.core
  Interface to something that can produce predictions in a batch manner when presented with a set of Instances.
batchSizeTipText() - Method in class weka.classifiers.meta.FilteredClassifier
  Tool tip text for this property
batchSizeTipText() - Method in class weka.classifiers.meta.LogitBoost
  Tool tip text
BAYES - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
  score types
BayesInput - Class in weka.core.pmml.jaxbbindings
  Java class for BayesInput element declaration.
BayesInput() - Constructor for class weka.core.pmml.jaxbbindings.BayesInput
BayesInputs - Class in weka.core.pmml.jaxbbindings
  Java class for BayesInputs element declaration.
BayesInputs() - Constructor for class weka.core.pmml.jaxbbindings.BayesInputs
BayesNet - Class in weka.classifiers.bayes
  Bayes Network learning using various search algorithms and quality measures.
  Base class for a Bayes Network classifier.
BayesNet() - Constructor for class weka.classifiers.bayes.BayesNet
BayesNet - Static variable in interface weka.core.Drawable
BayesNet - Class in weka.datagenerators.classifiers.classification
  Generates random instances based on a Bayes network.
BayesNet() - Constructor for class weka.datagenerators.classifiers.classification.BayesNet
  initializes the generator
BayesNetEstimator - Class in weka.classifiers.bayes.net.estimate
  BayesNetEstimator is the base class for estimating the conditional probability tables of a Bayes network once the structure has been learned.
BayesNetEstimator() - Constructor for class weka.classifiers.bayes.net.estimate.BayesNetEstimator
BayesNetGenerator - Class in weka.classifiers.bayes.net
  Bayes Network learning using various search algorithms and quality measures.
  Base class for a Bayes Network classifier.
BayesNetGenerator() - Constructor for class weka.classifiers.bayes.net.BayesNetGenerator
  Constructor for BayesNetGenerator.
BayesOutput - Class in weka.core.pmml.jaxbbindings
  Java class for BayesOutput element declaration.
BayesOutput() - Constructor for class weka.core.pmml.jaxbbindings.BayesOutput
BDeu - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
BEAN_EXECUTING - Static variable in class weka.gui.beans.BeanInstance
BeanCommon - Interface in weka.gui.beans
  Interface specifying routines that all weka beans should implement in order to allow the bean environment to exercise some control over the bean and also to allow the bean to exercise some control over connections.
BeanConnection - Class in weka.gui.beans
  Class for encapsulating a connection between two beans.
BeanConnection(BeanInstance, BeanInstance, EventSetDescriptor, Integer...) - Constructor for class weka.gui.beans.BeanConnection
  Creates a new `BeanConnection` instance.
BeanCustomizer - Interface in weka.gui.beans
  Extends java.beans.Customizer and provides a method to register a listener interested in notification about whether the customizer has modified the object that it is customizing.
BeanCustomizer.ModifyListener - Interface in weka.gui.beans
  Interface for something that is interested in the modified status of a source object (typically a BeanCustomizer that is editing an object)
BeanInstance - Class in weka.gui.beans
  Class that manages a set of beans.
BeanInstance(JComponent, Object, int, int, Integer...) - Constructor for class weka.gui.beans.BeanInstance
  Creates a new `BeanInstance` instance.
BeanInstance(JComponent, String, int, int, Integer...) - Constructor for class weka.gui.beans.BeanInstance
  Creates a new `BeanInstance` instance given the fully qualified name of the bean
BeansProperties - Class in weka.gui.beans
  Utility class encapsulating various properties for the KnowledgeFlow and providing methods to register and deregister plugin Bean components
BeansProperties() - Constructor for class weka.gui.beans.BeansProperties
BeanVisual - Class in weka.gui.beans
  BeanVisual encapsulates icons and label for a given bean.
BeanVisual(String, String, String) - Constructor for class weka.gui.beans.BeanVisual
  Constructor
BestFirst - Class in weka.attributeSelection
  BestFirst:
  Searches the space of attribute subsets by greedy hillclimbing augmented with a backtracking facility.
BestFirst() - Constructor for class weka.attributeSelection.BestFirst
  Constructor
BestFirst.Link2 - Class in weka.attributeSelection
  Class for a node in a linked list.
BestFirst.Link2(Object[], double) - Constructor for class weka.attributeSelection.BestFirst.Link2
  Constructor
BestFirst.LinkedList2 - Class in weka.attributeSelection
  Class for handling a linked list.
BestFirst.LinkedList2(int) - Constructor for class weka.attributeSelection.BestFirst.LinkedList2
bestSplit(SplitMetric, Map<String, WeightMass>, String) - Method in class weka.classifiers.trees.ht.ConditionalSufficientStats
  Return the best split
bestSplit(SplitMetric, Map<String, WeightMass>, String) - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
bestSplit(SplitMetric, Map<String, WeightMass>, String) - Method in class weka.classifiers.trees.ht.NominalConditionalSufficientStats
bias() - Method in class weka.classifiers.functions.SGDText
bias() - Method in class weka.classifiers.functions.SMO
  Returns the bias of each binary SMO.
biasToUniformClassTipText() - Method in class weka.filters.supervised.instance.Resample
  Returns the tip text for this property.
BIBTEX_ENDTAG - Static variable in class weka.core.TechnicalInformationHandlerJavadoc
  the end comment tag for inserting the generated BibTex
BIBTEX_STARTTAG - Static variable in class weka.core.TechnicalInformationHandlerJavadoc
  the start comment tag for inserting the generated BibTex
BIFFileTipText() - Method in class weka.classifiers.bayes.BayesNet
BIFFormatException - Exception in weka.gui.graphvisualizer
  This is the Exception thrown by BIFParser, if there was an error in parsing the XMLBIF string or input stream.
BIFFormatException(String) - Constructor for exception weka.gui.graphvisualizer.BIFFormatException
BIFParser - Class in weka.gui.graphvisualizer
  This class parses an inputstream or a string in XMLBIF ver.
BIFParser(String, ArrayList<GraphNode>, ArrayList<GraphEdge>) - Constructor for class weka.gui.graphvisualizer.BIFParser
  Constructor (if our input is a String)
BIFParser(InputStream, ArrayList<GraphNode>, ArrayList<GraphEdge>) - Constructor for class weka.gui.graphvisualizer.BIFParser
  Constructor (if our input is an InputStream)
BIFReader - Class in weka.classifiers.bayes.net
  Builds a description of a Bayes Net classifier stored in XML BIF 0.3 format.
  For more details on XML BIF see:
  Fabio Cozman, Marek Druzdzel, Daniel Garcia (1998).
BIFReader() - Constructor for class weka.classifiers.bayes.net.BIFReader
  the default constructor
binarizeNumericAttributesTipText() - Method in class weka.attributeSelection.InfoGainAttributeEval
  Returns the tip text for this property
BINARY - Static variable in class weka.gui.beans.SerializedModelSaver
binaryAttributesNominalTipText() - Method in class weka.filters.supervised.attribute.NominalToBinary
  Returns the tip text for this property
binaryAttributesNominalTipText() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Returns the tip text for this property
BinaryItem - Class in weka.associations
  Class that encapsulates an item whose backing Attribute is binary or unary.
BinaryItem(Attribute, int) - Constructor for class weka.associations.BinaryItem
  Constructor.
BinarySimilarity - Class in weka.core.pmml.jaxbbindings
  Java class for binarySimilarity element declaration.
BinarySimilarity() - Constructor for class weka.core.pmml.jaxbbindings.BinarySimilarity
BinarySparseInstance - Class in weka.core
  Class for storing a binary-data-only instance as a sparse vector.
BinarySparseInstance(Instance) - Constructor for class weka.core.BinarySparseInstance
  Constructor that generates a sparse instance from the given instance.
BinarySparseInstance(SparseInstance) - Constructor for class weka.core.BinarySparseInstance
  Constructor that copies the info from the given instance.
BinarySparseInstance(double, double[]) - Constructor for class weka.core.BinarySparseInstance
  Constructor that generates a sparse instance from the given parameters.
BinarySparseInstance(double, int[], int) - Constructor for class weka.core.BinarySparseInstance
  Constructor that inititalizes instance variable with given values.
BinarySparseInstance(int) - Constructor for class weka.core.BinarySparseInstance
  Constructor of an instance that sets weight to one, all values to 1, and the reference to the dataset to null.
binarySplitsTipText() - Method in class weka.classifiers.rules.PART
  Returns the tip text for this property
binarySplitsTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
binaryToKOML(String, String) - Static method in class weka.core.xml.SerialUIDChanger
  converts a binary file into a KOML XML file
BinC45ModelSelection - Class in weka.classifiers.trees.j48
  Class for selecting a C4.5-like binary (!) split for a given dataset.
BinC45ModelSelection(int, Instances, boolean, boolean) - Constructor for class weka.classifiers.trees.j48.BinC45ModelSelection
  Initializes the split selection method with the given parameters.
BinC45Split - Class in weka.classifiers.trees.j48
  Class implementing a binary C4.5-like split on an attribute.
BinC45Split(int, int, double, boolean) - Constructor for class weka.classifiers.trees.j48.BinC45Split
  Initializes the split model.
binomialStandardError(double, int) - Static method in class weka.core.Statistics
  Computes standard error for observed values of a binomial random variable.
binRangePrecisionTipText() - Method in class weka.filters.supervised.attribute.Discretize
  Returns the tip text for this property
binsTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
  Returns the tip text for this property
binsTipText() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Returns the tip text for this property
BIRCHCluster - Class in weka.datagenerators.clusterers
  Cluster data generator designed for the BIRCH System
  Dataset is generated with instances in K clusters.
  Instances are 2-d data points.
  Each cluster is characterized by the number of data points in itits radius and its center.
BIRCHCluster() - Constructor for class weka.datagenerators.clusterers.BIRCHCluster
  initializes the generator with default values
BIRD_IMAGE1 - Static variable in class weka.core.RepositoryIndexGenerator
BIRD_IMAGE2 - Static variable in class weka.core.RepositoryIndexGenerator
blocker(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
  A function used to stop the code that called buildclassifier from continuing on before the user has finished the decision tree.
BMAEstimator - Class in weka.classifiers.bayes.net.estimate
  BMAEstimator estimates conditional probability tables of a Bayes network using Bayes Model Averaging (BMA).
BMAEstimator() - Constructor for class weka.classifiers.bayes.net.estimate.BMAEstimator
BMPWriter - Class in weka.gui.visualize
  This class takes any JComponent and outputs it to a BMP-file.
BMPWriter() - Constructor for class weka.gui.visualize.BMPWriter
  initializes the object.
BMPWriter(JComponent) - Constructor for class weka.gui.visualize.BMPWriter
  initializes the object with the given Component.
BMPWriter(JComponent, File) - Constructor for class weka.gui.visualize.BMPWriter
  initializes the object with the given Component and filename.
BOOL - Static variable in class weka.experiment.DatabaseUtils
  Type mapping for BOOL used for reading experiment results.
BOOLEAN - Static variable in interface weka.core.json.sym
BOOLEAN - Static variable in interface weka.core.mathematicalexpression.sym
BOOLEAN - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
booleanColsTipText() - Method in class weka.datagenerators.ClusterGenerator
  Returns the tip text for this property
BottomUpConstructor - Class in weka.core.neighboursearch.balltrees
  The class that constructs a ball tree bottom up.
BottomUpConstructor() - Constructor for class weka.core.neighboursearch.balltrees.BottomUpConstructor
  Creates a new instance of BottomUpConstructor.
BoundaryPanel - Class in weka.gui.boundaryvisualizer
  BoundaryPanel.
BoundaryPanel(int, int) - Constructor for class weka.gui.boundaryvisualizer.BoundaryPanel
  Creates a new `BoundaryPanel` instance.
BoundaryPanelDistributed - Class in weka.gui.boundaryvisualizer
  This class extends BoundaryPanel with code for distributing the processing necessary to create a visualization among a list of remote machines.
BoundaryPanelDistributed(int, int) - Constructor for class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
  Creates a new `BoundaryPanelDistributed` instance.
BoundaryValueMeans - Class in weka.core.pmml.jaxbbindings
  Java class for BoundaryValueMeans element declaration.
BoundaryValueMeans() - Constructor for class weka.core.pmml.jaxbbindings.BoundaryValueMeans
BoundaryValues - Class in weka.core.pmml.jaxbbindings
  Java class for BoundaryValues element declaration.
BoundaryValues() - Constructor for class weka.core.pmml.jaxbbindings.BoundaryValues
BoundaryVisualizer - Class in weka.gui.boundaryvisualizer
  BoundaryVisualizer.
BoundaryVisualizer() - Constructor for class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Creates a new `BoundaryVisualizer` instance.
branchForInstance(Instance) - Method in class weka.classifiers.trees.ht.Split
  Returns the name of the branch that the supplied instance would go down
branchForInstance(Instance) - Method in class weka.classifiers.trees.ht.SplitNode
  Return the branch that the supplied instance goes down
branchForInstance(Instance) - Method in class weka.classifiers.trees.ht.UnivariateNominalMultiwaySplit
branchForInstance(Instance) - Method in class weka.classifiers.trees.ht.UnivariateNumericBinarySplit
breakUp(String, int) - Static method in class weka.core.Utils
  Breaks up the string, if wider than "columns" characters.
BrowserHelper - Class in weka.gui
  A little helper class for browser related stuff.
BrowserHelper() - Constructor for class weka.gui.BrowserHelper
bufferSizeTipText() - Method in class weka.core.converters.CSVLoader
  Returns the tip text for this property.
build(String, String) - Method in class weka.gui.HierarchyPropertyParser
  Build a tree from the given property with the given delimitor
buildAssociations(Instances) - Method in class weka.associations.Apriori
  Method that generates all large itemsets with a minimum support, and from these all association rules with a minimum confidence.
buildAssociations(Instances) - Method in interface weka.associations.Associator
  Generates an associator.
buildAssociations(Instances) - Method in class weka.associations.FilteredAssociator
  Build the associator on the filtered data.
buildAssociations(Instances) - Method in class weka.associations.FPGrowth
  Method that generates all large item sets with a minimum support, and from these all association rules with a minimum metric (i.e.
buildClassifier(Instances) - Method in class weka.classifiers.bayes.BayesNet
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.bayes.NaiveBayes
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
  Generates the classifier.
buildClassifier(Instances) - Method in interface weka.classifiers.Classifier
  Generates a classifier.
buildClassifier(Instances) - Method in class weka.classifiers.functions.GaussianProcesses
  Method for building the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.functions.LinearRegression
  Builds a regression model for the given data.
buildClassifier(Instances) - Method in class weka.classifiers.functions.Logistic
  Builds the classifier
buildClassifier(Instances) - Method in class weka.classifiers.functions.MultilayerPerceptron
  Call this function to build and train a neural network for the training data provided.
buildClassifier(Instances) - Method in class weka.classifiers.functions.SGD
  Method for building the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.functions.SGDText
  Method for building the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.functions.SimpleLinearRegression
  Builds a simple linear regression model given the supplied training data.
buildClassifier(Instances) - Method in class weka.classifiers.functions.SimpleLogistic
  Builds the logistic regression using LogitBoost.
buildClassifier(Instances) - Method in class weka.classifiers.functions.SMO
  Method for building the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.functions.SMOreg
  Method for building the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  learn SVM parameters from data.
buildClassifier(Instances) - Method in class weka.classifiers.functions.supportVector.RegSMO
  learn SVM parameters from data using Smola's SMO algorithm.
buildClassifier(Instances) - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  learn SVM parameters from data using Keerthi's SMO algorithm.
buildClassifier(Instances) - Method in class weka.classifiers.functions.VotedPerceptron
  Builds the ensemble of perceptrons.
buildClassifier(Instances) - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
  Stump method for building the classifiers.
buildClassifier(Instances) - Method in class weka.classifiers.lazy.IBk
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.lazy.KStar
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.lazy.LWL
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.AdaBoostM1
  Method used to build the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.AdditiveRegression
  Method used to build the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Build the classifier on the dimensionally reduced data.
buildClassifier(Instances) - Method in class weka.classifiers.meta.Bagging
  Bagging method.
buildClassifier(Instances) - Method in class weka.classifiers.meta.ClassificationViaRegression
  Builds the classifiers.
buildClassifier(Instances) - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Builds the model of the base learner.
buildClassifier(Instances) - Method in class weka.classifiers.meta.CVParameterSelection
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.FilteredClassifier
  Build the classifier on the filtered data.
buildClassifier(Instances) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Builds the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.LogitBoost
  Method used to build the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.MultiClassClassifier
  Builds the classifiers.
buildClassifier(Instances) - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
buildClassifier(Instances) - Method in class weka.classifiers.meta.MultiScheme
  Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.
buildClassifier(Instances) - Method in class weka.classifiers.meta.RandomCommittee
  Builds the committee of randomizable classifiers.
buildClassifier(Instances) - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
  Build the classifier on the filtered data.
buildClassifier(Instances) - Method in class weka.classifiers.meta.RandomSubSpace
  builds the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.RegressionByDiscretization
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.meta.Stacking
  Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.
buildClassifier(Instances) - Method in class weka.classifiers.meta.Vote
  Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.
buildClassifier(Instances) - Method in class weka.classifiers.misc.InputMappedClassifier
  Build the classifier
buildClassifier(Instances) - Method in class weka.classifiers.misc.SerializedClassifier
  loads only the serialized classifier
buildClassifier(Instances) - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
  Stump method for building the classifiers
buildClassifier(Instances) - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
  Stump method for building the classifiers
buildClassifier(Instances) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
  Throw an exception - PMML models are pre-built.
buildClassifier(Instances) - Method in class weka.classifiers.rules.DecisionTable
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.rules.JRip
  Builds Ripper in the order of class frequencies.
buildClassifier(Instances) - Method in class weka.classifiers.rules.OneR
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.rules.PART
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.rules.part.MakeDecList
  Builds dec list.
buildClassifier(Instances) - Method in class weka.classifiers.rules.ZeroR
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.DecisionStump
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.HoeffdingTree
  Builds the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
  Creates a C4.5-type split on the given data.
buildClassifier(Instances) - Method in class weka.classifiers.trees.J48
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
  Method for building a pruneable classifier tree.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.C45Split
  Creates a C4.5-type split on the given data.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Builds the classifier split model for the given set of instances.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.ClassifierTree
  Method for building a classifier tree.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
  Method for building a naive bayes classifier tree
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Build the no-split node
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.NBTreeSplit
  Creates a NBTree-type split on the given data.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.NoSplit
  Creates a "no-split"-split for a given set of instances.
buildClassifier(Instances) - Method in class weka.classifiers.trees.j48.PruneableClassifierTree
  Method for building a pruneable classifier tree.
buildClassifier(Instances) - Method in class weka.classifiers.trees.LMT
  Builds the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.lmt.LMTNode
  Method for building a logistic model tree (only called for the root node).
buildClassifier(Instances) - Method in class weka.classifiers.trees.lmt.LogisticBase
  Builds the logistic regression model usiing LogitBoost.
buildClassifier(Instances, double[][], double[][]) - Method in class weka.classifiers.trees.lmt.ResidualSplit
  Builds the split.
buildClassifier(Instances) - Method in class weka.classifiers.trees.lmt.ResidualSplit
  Method not in use
buildClassifier(Instances) - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
  Builds a simple linear regression model given the supplied training data.
buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.M5Base
  Generates the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
  Builds the classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.Rule
  Generates a single rule or m5 model tree.
buildClassifier(Instances) - Method in class weka.classifiers.trees.m5.RuleNode
  Build this node (find an attribute and split point)
buildClassifier(Instances) - Method in class weka.classifiers.trees.RandomForest
  Builds a classifier for a set of instances.
buildClassifier(Instances) - Method in class weka.classifiers.trees.RandomTree
  Builds classifier.
buildClassifier(Instances) - Method in class weka.classifiers.trees.REPTree
  Builds classifier.
buildClusterer(Instances) - Method in class weka.clusterers.AbstractClusterer
  Generates a clusterer.
buildClusterer(Instances) - Method in class weka.clusterers.Canopy
buildClusterer(Instances) - Method in interface weka.clusterers.Clusterer
  Generates a clusterer.
buildClusterer(Instances) - Method in class weka.clusterers.Cobweb
  Builds the clusterer.
buildClusterer(Instances) - Method in class weka.clusterers.EM
  Generates a clusterer.
buildClusterer(Instances) - Method in class weka.clusterers.FarthestFirst
  Generates a clusterer.
buildClusterer(Instances) - Method in class weka.clusterers.FilteredClusterer
  Build the clusterer on the filtered data.
buildClusterer(Instances) - Method in class weka.clusterers.HierarchicalClusterer
buildClusterer(Instances) - Method in class weka.clusterers.MakeDensityBasedClusterer
  Builds a clusterer for a set of instances.
buildClusterer(Instances) - Method in class weka.clusterers.SimpleKMeans
  Generates a clusterer.
buildDecList(Instances, boolean) - Method in class weka.classifiers.rules.part.C45PruneableDecList
  Builds the partial tree without hold out set.
buildDecList(Instances, boolean) - Method in class weka.classifiers.rules.part.ClassifierDecList
  Builds the partial tree without hold out set.
buildDecList(Instances, Instances, boolean) - Method in class weka.classifiers.rules.part.PruneableDecList
  Builds the partial tree with hold out set
buildEstimator(Estimator, String[], boolean) - Static method in class weka.estimators.Estimator
  Build an estimator using the options.
buildEstimator(Estimator, Instances, int, int, int, boolean) - Static method in class weka.estimators.Estimator
buildEvaluator(Instances) - Method in class weka.attributeSelection.ASEvaluation
  Generates a attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.CfsSubsetEval
  Generates a attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.CorrelationAttributeEval
  Initializes an information gain attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.GainRatioAttributeEval
  Initializes a gain ratio attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.InfoGainAttributeEval
  Initializes an information gain attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.OneRAttributeEval
  Initializes a OneRAttribute attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.PrincipalComponents
  Initializes principal components and performs the analysis
buildEvaluator(Instances) - Method in class weka.attributeSelection.ReliefFAttributeEval
  Initializes a ReliefF attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  Initializes a symmetrical uncertainty attribute evaluator.
buildEvaluator(Instances) - Method in class weka.attributeSelection.WrapperSubsetEval
  Generates a attribute evaluator.
buildGenerator(Instances) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
  Build the data generator
buildGenerator(Instances) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
  Initialize the generator using the supplied instances
buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.CachedKernel
  builds the kernel with the given data.
buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.Kernel
  builds the kernel with the given data
buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.Puk
  builds the kernel with the given data.
buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.RBFKernel
  builds the kernel with the given data.
buildKernel(Instances) - Method in class weka.classifiers.functions.supportVector.StringKernel
  builds the kernel with the given data.
buildLogisticModelsTipText() - Method in class weka.classifiers.functions.SMO
  Returns the tip text for this property
buildModel(int, double[], double[]) - Method in class weka.estimators.UnivariateMixtureEstimator
  Build mixture model.
buildRegressionTreeTipText() - Method in class weka.classifiers.trees.m5.M5Base
  Returns the tip text for this property
buildRule(Instances) - Method in class weka.classifiers.rules.part.ClassifierDecList
  Method for building a pruned partial tree.
buildRule(Instances, Instances) - Method in class weka.classifiers.rules.part.PruneableDecList
  Method for building a pruned partial tree.
buildStructure() - Method in class weka.classifiers.bayes.BayesNet
  buildStructure determines the network structure/graph of the network.
buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.fixed.NaiveBayes
buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.global.TAN
  buildStructure determines the network structure/graph of the network using the maximimum weight spanning tree algorithm of Chow and Liu
buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  buildStructure determines the network structure/graph of the network with the K2 algorithm, restricted by its initial structure (which can be an empty graph, or a Naive Bayes graph.
buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.local.TAN
  buildStructure determines the network structure/graph of the network using the maximimum weight spanning tree algorithm of Chow and Liu
buildStructure(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
  buildStructure determines the network structure/graph of the network.
buildTree(Instances, boolean) - Method in class weka.classifiers.trees.j48.ClassifierTree
  Builds the tree structure.
buildTree(Instances, Instances, boolean) - Method in class weka.classifiers.trees.j48.ClassifierTree
  Builds the tree structure with hold out set
buildTree(Instances, SimpleLinearRegression[][], double, double, Instances) - Method in class weka.classifiers.trees.lmt.LMTNode
  Method for building the tree structure.
buildTree() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Builds the ball tree.
buildTree() - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
  Builds the ball tree bottom up.
buildTree() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Builds a ball tree middle out.
buildTree() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
  Builds the ball tree top down.
BUILT_IN_EVAL_METRICS - Static variable in class weka.classifiers.Evaluation
BUILT_IN_EVAL_METRICS - Static variable in class weka.classifiers.evaluation.Evaluation
BuiltInArithmetic - Class in weka.core.pmml
  Built-in function for +, -, *, /.
BuiltInArithmetic(BuiltInArithmetic.Operator) - Constructor for class weka.core.pmml.BuiltInArithmetic
  Construct a new Arithmetic built-in pmml function.
BuiltInMath - Class in weka.core.pmml
  Built-in function for min, max, sum, avg, log10, ln, sqrt, abs, exp, pow, threshold, floor, ceil and round.
BuiltInMath(BuiltInMath.MathFunc) - Constructor for class weka.core.pmml.BuiltInMath
  Construct a new built-in pmml Math function.
BuiltInString - Class in weka.core.pmml
  Built-in function for uppercase, substring and trimblanks.
BVDecompose - Class in weka.classifiers
  Class for performing a Bias-Variance decomposition on any classifier using the method specified in:
  Ron Kohavi, David H.
BVDecompose() - Constructor for class weka.classifiers.BVDecompose
BVDecomposeSegCVSub - Class in weka.classifiers
  This class performs Bias-Variance decomposion on any classifier using the sub-sampled cross-validation procedure as specified in (1).
  The Kohavi and Wolpert definition of bias and variance is specified in (2).
  The Webb definition of bias and variance is specified in (3).
  Geoffrey I.
BVDecomposeSegCVSub() - Constructor for class weka.classifiers.BVDecomposeSegCVSub
BYTE - Static variable in class weka.experiment.DatabaseUtils
  Type mapping for BYTE used for reading experiment results.

## C

C45Loader - Class in weka.core.converters
  Reads a file that is C45 format.
C45Loader() - Constructor for class weka.core.converters.C45Loader
C45ModelSelection - Class in weka.classifiers.trees.j48
  Class for selecting a C4.5-type split for a given dataset.
C45ModelSelection(int, Instances, boolean, boolean) - Constructor for class weka.classifiers.trees.j48.C45ModelSelection
  Initializes the split selection method with the given parameters.
C45PruneableClassifierTree - Class in weka.classifiers.trees.j48
  Class for handling a tree structure that can be pruned using C4.5 procedures.
C45PruneableClassifierTree(ModelSelection, boolean, float, boolean, boolean, boolean) - Constructor for class weka.classifiers.trees.j48.C45PruneableClassifierTree
  Constructor for pruneable tree structure.
C45PruneableDecList - Class in weka.classifiers.rules.part
  Class for handling a partial tree structure pruned using C4.5's pruning heuristic.
C45PruneableDecList(ModelSelection, double, int) - Constructor for class weka.classifiers.rules.part.C45PruneableDecList
  Constructor for pruneable tree structure.
C45Saver - Class in weka.core.converters
  Writes to a destination that is in the format used by the C4.5 algorithm.
  Therefore it outputs a names and a data file.
C45Saver() - Constructor for class weka.core.converters.C45Saver
  Constructor
C45Split - Class in weka.classifiers.trees.j48
  Class implementing a C4.5-type split on an attribute.
C45Split(int, int, double, boolean) - Constructor for class weka.classifiers.trees.j48.C45Split
  Initializes the split model.
CachedKernel - Class in weka.classifiers.functions.supportVector
  Base class for RBFKernel and PolyKernel that implements a simple LRU.
CachedKernel() - Constructor for class weka.classifiers.functions.supportVector.CachedKernel
  default constructor - does nothing.
cacheKeyNameTipText() - Method in class weka.experiment.DatabaseResultListener
  Returns the tip text for this property
cacheSizeTipText() - Method in class weka.classifiers.functions.supportVector.CachedKernel
  Returns the tip text for this property
cacheSizeTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the tip text for this property
calcCentroidPivot(int[], Instances) - Static method in class weka.core.neighboursearch.balltrees.BallNode
  Calculates the centroid pivot of a node.
calcCentroidPivot(int, int, int[], Instances) - Static method in class weka.core.neighboursearch.balltrees.BallNode
  Calculates the centroid pivot of a node.
calcColumnWidth(int) - Method in class weka.gui.JTableHelper
  calcs the optimal column width of the given column
calcColumnWidth(JTable, int) - Static method in class weka.gui.JTableHelper
  Calculates the optimal width for the column of the given table.
calcFullMargins(BayesNet) - Method in class weka.classifiers.bayes.net.MarginCalculator
calcGraph(int, int) - Method in class weka.gui.AttributeVisualizationPanel
  Recalculates the barplot or histogram to display, required usually when the attribute is changed or the component is resized.
calcHeaderWidth(int) - Method in class weka.gui.JTableHelper
  calcs the optimal header width of the given column
calcHeaderWidth(JTable, int) - Static method in class weka.gui.JTableHelper
  Calculates the optimal width for the header of the given table.
calcMargins(BayesNet) - Method in class weka.classifiers.bayes.net.MarginCalculator
  Calc marginal distributions of nodes in Bayesian network Note that a connected network is assumed.
calcNodeScore(int) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  Calc Node Score for given parent set
calcOutOfBagTipText() - Method in class weka.classifiers.meta.Bagging
  Returns the tip text for this property
calcPivot(BallNode, BallNode, Instances) - Static method in class weka.core.neighboursearch.balltrees.BallNode
  Calculates the centroid pivot of a node based on its two child nodes (if merging two nodes).
calcPivot(BottomUpConstructor.TempNode, BottomUpConstructor.TempNode, Instances) - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
  Calculates the centroid pivot of a node based on its two child nodes.
calcPivot(MiddleOutConstructor.TempNode, MiddleOutConstructor.TempNode, Instances) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  /** Calculates the centroid pivot of a node based on its two child nodes (if merging two nodes).
calcPivot(MiddleOutConstructor.MyIdxList, MiddleOutConstructor.MyIdxList, Instances) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Calculates the centroid pivot of a node based on the list of points that it contains (tbe two lists of its children are provided).
calcRadius(int[], Instances, Instance, DistanceFunction) - Static method in class weka.core.neighboursearch.balltrees.BallNode
  Calculates the radius of node.
calcRadius(int, int, int[], Instances, Instance, DistanceFunction) - Static method in class weka.core.neighboursearch.balltrees.BallNode
  Calculates the radius of a node.
calcRadius(BallNode, BallNode, Instance, DistanceFunction) - Static method in class weka.core.neighboursearch.balltrees.BallNode
  Calculates the radius of a node based on its two child nodes (if merging two nodes).
calcRadius(BottomUpConstructor.TempNode, BottomUpConstructor.TempNode) - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
  Calculates the radius of a node based on its two child nodes.
calcRadius(MiddleOutConstructor.TempNode, MiddleOutConstructor.TempNode) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Calculates the radius of a node based on its two child nodes (if merging two nodes).
calcRadius(MiddleOutConstructor.MyIdxList, MiddleOutConstructor.MyIdxList, Instance, Instances) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Calculates the radius of a node based on the list of points that it contains (the two lists of its children are provided).
calcScore(BayesNet) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  performCV returns the accuracy calculated using cross validation.
calcScoreWithExtraParent(int, int) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  Calc Node Score With Added Parent
calcScoreWithExtraParent(int, int) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  Calc Node Score With AddedParent
calcScoreWithMissingParent(int, int) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  Calc Node Score With Parent Deleted
calcScoreWithMissingParent(int, int) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  Calc Node Score With Parent Deleted
calcScoreWithReversedParent(int, int) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  Calc Node Score With Arrow reversed
calculateAdjRSquared(double, int, int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
  Returns the adjusted R-squared value for a linear regression model.
calculateAlphas() - Method in class weka.classifiers.trees.lmt.LMTNode
  Updates the alpha field for all nodes.
calculateDerived() - Method in class weka.experiment.PairedStats
  Calculates the derived statistics (significance etc).
calculateDerived() - Method in class weka.experiment.PairedStatsCorrected
  Calculates the derived statistics (significance etc).
calculateDerived() - Method in class weka.experiment.Stats
  Tells the object to calculate any statistics that don't have their values automatically updated during add.
calculateFStat(double, int, int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
  Returns the F-statistic for a linear regression model.
calculateRSquared(Instances, double) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
  Returns the R-squared value for a linear regression model, where sum of squared residuals is already calculated.
calculateSSR(Instances, Attribute, double, double) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
  Returns the sum of squared residuals of the simple linear regression model: y = a + bx.
calculateStatistics(Instance, int, int, int) - Method in class weka.experiment.PairedCorrectedTTester
  Computes a paired t-test comparison for a specified dataset between two resultsets.
calculateStatistics(Instance, int, int, int) - Method in class weka.experiment.PairedTTester
  Computes a paired t-test comparison for a specified dataset between two resultsets.
calculateStatistics(Instance, int, int, int) - Method in interface weka.experiment.Tester
  Computes a paired t-test comparison for a specified dataset between two resultsets.
calculateStdDevsTipText() - Method in class weka.experiment.AveragingResultProducer
  Returns the tip text for this property
calculateStdErrorOfCoef(Instances, Attribute, double, double, int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
  Returns the standard errors of slope and intercept for a simple linear regression model: y = a + bx.
calculateStdErrorOfCoef(Instances, boolean[], double, int, int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
  Returns an array of the standard errors of the coefficients in a multiple linear regression.
calculateTStats(double[], double[], int) - Static method in class weka.classifiers.evaluation.RegressionAnalysis
  Returns an array of the t-statistic of each coefficient in a multiple linear regression model.
canAcceptConnection(Class<?>) - Method in class weka.gui.beans.MetaBean
  Checks to see if any of the inputs to this group implements the supplied listener class
cancel() - Method in class weka.core.converters.AbstractFileSaver
  Cancels the incremental saving process.
cancel() - Method in class weka.core.converters.AbstractSaver
  Cancels the incremental saving process if the write mode is CANCEL.
cancel() - Method in class weka.core.converters.DatabaseSaver
  Cancels the incremental saving process and tries to drop the table if the write mode is CANCEL.
CANCEL_OPTION - Static variable in class weka.gui.experiment.OutputFormatDialog
  Signifies a cancelled property selection.
CANCEL_OPTION - Static variable in class weka.gui.ListSelectorDialog
  Signifies a cancelled property selection
CANCEL_OPTION - Static variable in class weka.gui.PropertySelectorDialog
  Signifies a cancelled property selection
CANCEL_OPTION - Static variable in class weka.gui.ViewerDialog
  Signifies a cancelled property selection
canMoveDown(JList) - Static method in class weka.gui.JListHelper
  checks whether the selected items can be moved down
canMoveUp(JList) - Static method in class weka.gui.JListHelper
  checks whether the selected items can be moved up
Canopy - Class in weka.clusterers
  Cluster data using the capopy clustering algorithm, which requires just one pass over the data.
Canopy() - Constructor for class weka.clusterers.Canopy
CANOPY - Static variable in class weka.clusterers.SimpleKMeans
canopyMaxNumCanopiesToHoldInMemoryTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property.
canopyMinimumCanopyDensityTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property.
canopyPeriodicPruningRateTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property.
canopyT1TipText() - Method in class weka.clusterers.SimpleKMeans
  Tip text for this property
canopyT2TipText() - Method in class weka.clusterers.SimpleKMeans
  Tip text for this property
canPlot(boolean) - Method in class weka.gui.explorer.AbstractPlotInstances
  Returns whether all the data is available and the plot instances can be used for plotting.
canProduceRules() - Method in class weka.associations.Apriori
  Returns true if this AssociationRulesProducer can actually produce rules.
canProduceRules() - Method in interface weka.associations.AssociationRulesProducer
  Returns true if this AssociationRulesProducer can actually produce rules.
canProduceRules() - Method in class weka.associations.FilteredAssociator
  Returns true if this AssociationRulesProducer can actually produce rules.
canProduceRules() - Method in class weka.associations.FPGrowth
  Returns true if this AssociationRulesProducer can actually produce rules.
canRedo() - Method in class weka.classifiers.bayes.net.EditableBayesNet
  return whether there is something on the undo stack that can be performed
canUndo() - Method in class weka.classifiers.bayes.net.EditableBayesNet
  return whether there is something on the undo stack that can be performed
canUndo() - Method in interface weka.core.Undoable
  returns whether an undo is possible, i.e.
canUndo() - Method in class weka.gui.arffviewer.ArffPanel
  returns whether an undo is possible
canUndo() - Method in class weka.gui.arffviewer.ArffSortedTableModel
  returns whether an undo is possible, i.e.
canUndo() - Method in class weka.gui.arffviewer.ArffTableModel
  returns whether an undo is possible, i.e.
Capabilities - Class in weka.core
  A class that describes the capabilites (e.g., handling certain types of attributes, missing values, types of classes, etc.) of a specific classifier.
Capabilities(CapabilitiesHandler) - Constructor for class weka.core.Capabilities
  initializes the capabilities for the given owner
capabilities() - Method in class weka.core.Capabilities
  Returns an Iterator over the stored capabilities
Capabilities.Capability - Enum in weka.core
  enumeration of all capabilities
capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.AssociationsPanel
  method gets called in case of a change event
capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.AttributeSelectionPanel
  method gets called in case of a change event
capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.ClassifierPanel
  method gets called in case of a change event.
capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.ClustererPanel
  method gets called in case of a change event
capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in interface weka.gui.explorer.Explorer.CapabilitiesFilterChangeListener
  method gets called in case of a change event
capabilitiesFilterChanged(Explorer.CapabilitiesFilterChangeEvent) - Method in class weka.gui.explorer.PreprocessPanel
  method gets called in case of a change event
CapabilitiesHandler - Interface in weka.core
  Classes implementing this interface return their capabilities in regards to datasets.
CapabilitiesIgnorer - Interface in weka.core
  Classes implementing this interface make it possible to turn off capabilities checking.
capacity() - Method in class weka.core.matrix.DoubleVector
  Gets the capacity of the vector.
capacity() - Method in class weka.core.matrix.IntVector
  Returns the capacity of the vector
cardinalityTipText() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Returns the tip text for this property
caretUpdate(CaretEvent) - Method in class weka.gui.LogWindow
  Called when the caret position is updated.
caretUpdate(CaretEvent) - Method in class weka.gui.sql.ConnectionPanel
  Called when the caret position is updated.
caretUpdate(CaretEvent) - Method in class weka.gui.sql.QueryPanel
  Called when the caret position is updated.
carTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
CARuleMiner - Interface in weka.associations
  Interface for learning class association rules.
cast(Object) - Static method in class weka.core.Utils
  Casting an object without "unchecked" compile-time warnings.
cat(DoubleVector) - Method in class weka.core.matrix.DoubleVector
  Combine two vectors together
CategoricalPredictor - Class in weka.core.pmml.jaxbbindings
  Java class for CategoricalPredictor element declaration.
CategoricalPredictor() - Constructor for class weka.core.pmml.jaxbbindings.CategoricalPredictor
Categories - Class in weka.core.pmml.jaxbbindings
  Java class for Categories element declaration.
Categories() - Constructor for class weka.core.pmml.jaxbbindings.Categories
Category - Class in weka.core.pmml.jaxbbindings
  Java class for Category element declaration.
Category() - Constructor for class weka.core.pmml.jaxbbindings.Category
CATSCORINGMETHOD - Enum in weka.core.pmml.jaxbbindings
  Java class for CAT-SCORING-METHOD.
CEIL - Static variable in interface weka.core.mathematicalexpression.sym
CEIL - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
Center - Class in weka.filters.unsupervised.attribute
  Centers all numeric attributes in the given dataset to have zero mean (apart from the class attribute, if set).
Center() - Constructor for class weka.filters.unsupervised.attribute.Center
centerDataTipText() - Method in class weka.attributeSelection.PrincipalComponents
  Returns the tip text for this property
centerDataTipText() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Returns the tip text for this property
centerHorizontal(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  center set of nodes half way between left and right most node in the list
centerInstances(Instances, int[], double) - Method in class weka.core.neighboursearch.KDTree
  Assigns instances to centers using KDTree.
centerVertical(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  center set of nodes half way between top and bottom most node in the list
CfsSubsetEval - Class in weka.attributeSelection
  CfsSubsetEval :
  Evaluates the worth of a subset of attributes by considering the individual predictive ability of each feature along with the degree of redundancy between them.
  Subsets of features that are highly correlated with the class while having low intercorrelation are preferred.
  For more information see:
  M.
CfsSubsetEval() - Constructor for class weka.attributeSelection.CfsSubsetEval
  Constructor
ChangeDateFormat - Class in weka.filters.unsupervised.attribute
  Changes the date format used by a date attribute.
ChangeDateFormat() - Constructor for class weka.filters.unsupervised.attribute.ChangeDateFormat
changeLength(double) - Method in class weka.core.AlgVector
  Changes the length of a vector.
changeUID(long, long, String, String) - Static method in class weka.core.xml.SerialUIDChanger
  changes the oldUID into newUID from the given file (binary/KOML) into the other one (binary/KOML).
CharacterDelimitedTokenizer - Class in weka.core.tokenizers
  Abstract superclass for tokenizers that take characters as delimiters.
CharacterDelimitedTokenizer() - Constructor for class weka.core.tokenizers.CharacterDelimitedTokenizer
Characteristic - Class in weka.core.pmml.jaxbbindings
  Java class for Characteristic element declaration.
Characteristic() - Constructor for class weka.core.pmml.jaxbbindings.Characteristic
Characteristics - Class in weka.core.pmml.jaxbbindings
  Java class for Characteristics element declaration.
Characteristics() - Constructor for class weka.core.pmml.jaxbbindings.Characteristics
CharacterNGramTokenizer - Class in weka.core.tokenizers
  Splits a string into an n-gram with min and max grams.
CharacterNGramTokenizer() - Constructor for class weka.core.tokenizers.CharacterNGramTokenizer
charSetTipText() - Method in class weka.core.converters.TextDirectoryLoader
  the tip text for this property
ChartEvent - Class in weka.gui.beans
  Event encapsulating info for plotting a data point on the StripChart
ChartEvent(Object, Vector<String>, double, double, double[], boolean) - Constructor for class weka.gui.beans.ChartEvent
  Creates a new `ChartEvent` instance.
ChartEvent(Object) - Constructor for class weka.gui.beans.ChartEvent
  Creates a new `ChartEvent` instance.
chartingEvalWindowSizeTipText() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Return a tip text string for this property
ChartListener - Interface in weka.gui.beans
  Interface to something that can process a ChartEvent
Chebychev - Class in weka.core.pmml.jaxbbindings
  Java class for chebychev element declaration.
Chebychev() - Constructor for class weka.core.pmml.jaxbbindings.Chebychev
ChebyshevDistance - Class in weka.core
  Implements the Chebyshev distance.
ChebyshevDistance() - Constructor for class weka.core.ChebyshevDistance
  Constructs an Chebyshev Distance object, Instances must be still set.
ChebyshevDistance(Instances) - Constructor for class weka.core.ChebyshevDistance
  Constructs an Chebyshev Distance object and automatically initializes the ranges.
check(double) - Method in class weka.classifiers.trees.j48.Distribution
  Checks if at least two bags contain a minimum number of instances.
Check - Class in weka.core
  Abstract general class for testing in Weka.
Check() - Constructor for class weka.core.Check
CheckAssociator - Class in weka.associations
  Class for examining the capabilities and finding problems with associators.
CheckAssociator() - Constructor for class weka.associations.CheckAssociator
CheckAttributeSelection - Class in weka.attributeSelection
  Class for examining the capabilities and finding problems with attribute selection schemes.
CheckAttributeSelection() - Constructor for class weka.attributeSelection.CheckAttributeSelection
CheckBoxList - Class in weka.gui
  An extended JList that contains CheckBoxes.
CheckBoxList() - Constructor for class weka.gui.CheckBoxList
  initializes the list with an empty CheckBoxListModel
CheckBoxList(CheckBoxList.CheckBoxListModel) - Constructor for class weka.gui.CheckBoxList
  initializes the list with the given CheckBoxListModel
CheckBoxList.CheckBoxListModel - Class in weka.gui
  A specialized model.
CheckBoxList.CheckBoxListModel() - Constructor for class weka.gui.CheckBoxList.CheckBoxListModel
  initializes the model with no data.
CheckBoxList.CheckBoxListModel(Object[]) - Constructor for class weka.gui.CheckBoxList.CheckBoxListModel
  Constructs a CheckBoxListModel from an array of objects and then applies setModel to it.
CheckBoxList.CheckBoxListModel(Vector) - Constructor for class weka.gui.CheckBoxList.CheckBoxListModel
  Constructs a CheckBoxListModel from a Vector and then applies setModel to it.
CheckBoxList.CheckBoxListRenderer - Class in weka.gui
  A specialized CellRenderer for the CheckBoxList
CheckBoxList.CheckBoxListRenderer() - Constructor for class weka.gui.CheckBoxList.CheckBoxListRenderer
checkCanonicalUserOptions() - Method in class weka.core.CheckOptionHandler
  checks whether the user-supplied options stay the same after settting, getting and re-setting again
CheckClassifier - Class in weka.classifiers
  Class for examining the capabilities and finding problems with classifiers.
CheckClassifier() - Constructor for class weka.classifiers.CheckClassifier
CheckClusterer - Class in weka.clusterers
  Class for examining the capabilities and finding problems with clusterers.
CheckClusterer() - Constructor for class weka.clusterers.CheckClusterer
  default constructor
checkDefaultOptions() - Method in class weka.core.CheckOptionHandler
  checks whether the default options can be processed completely or some invalid options are returned by the getOptions() method.
checkErrorRateTipText() - Method in class weka.classifiers.rules.JRip
  Returns the tip text for this property
CheckEstimator - Class in weka.estimators
  Class for examining the capabilities and finding problems with estimators.
CheckEstimator() - Constructor for class weka.estimators.CheckEstimator
CheckEstimator.AttrTypes - Class in weka.estimators
  class that contains info about the attribute types the estimator can estimate estimator work on one attribute only
CheckEstimator.EstTypes - Class in weka.estimators
  public class that contains info about the chosen attribute type estimator work on one attribute only
CheckEstimator.EstTypes() - Constructor for class weka.estimators.CheckEstimator.EstTypes
  Constructor
CheckEstimator.EstTypes(boolean, boolean, boolean) - Constructor for class weka.estimators.CheckEstimator.EstTypes
  Constructor
CheckEstimator.PostProcessor - Class in weka.estimators
  a class for postprocessing the test-data
CheckEstimator.PostProcessor() - Constructor for class weka.estimators.CheckEstimator.PostProcessor
checkForAttributeType(int) - Method in class weka.core.Instances
  Checks for attributes of the given type in the dataset
checkForMissingClasses(Package, PrintStream...) - Static method in class weka.core.WekaPackageManager
  Checks to see if there are any classes that we should try to instantiate before allowing this package to be loaded.
checkForMissingFiles(Package, File, PrintStream...) - Static method in class weka.core.WekaPackageManager
  Checks to see if there are any missing files/directories for a given package.
checkForNewPackages(PrintStream...) - Static method in class weka.core.WekaPackageManager
  Check for new packages on the server and refresh the local cache if needed
checkForRemainingOptions(String[]) - Static method in class weka.core.Utils
  Checks if the given array contains any non-empty options.
checkForStringAttributes() - Method in class weka.core.Instances
  Checks for string attributes in the dataset
checkForUnsetEnvVar(Package, PrintStream...) - Static method in class weka.core.WekaPackageManager
  Checks to see if there are any environment variables or properties that should be set at startup before allowing this package to be loaded.
checkGlobalInfo() - Method in class weka.core.CheckGOE
  checks whether the object declares a globalInfo method.
CheckGOE - Class in weka.core
  Simple command line checking of classes that are editable in the GOE.
CheckGOE() - Constructor for class weka.core.CheckGOE
  default constructor
checkIndicesList(MiddleOutConstructor.MyIdxList, int, int) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Checks whether if the points in an index list are in some specified of the master index array.
checkInstance(Instance) - Method in class weka.core.Instances
  Checks if the given instance is compatible with this dataset.
CheckKernel - Class in weka.classifiers.functions.supportVector
  Class for examining the capabilities and finding problems with kernels.
CheckKernel() - Constructor for class weka.classifiers.functions.supportVector.CheckKernel
checkListOptions() - Method in class weka.core.CheckOptionHandler
  checks whether the listOptions method works
checkModel() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Checks if generated model is valid.
checkModel(int) - Method in class weka.classifiers.trees.lmt.ResidualSplit
  Checks if there are at least 2 subsets that contain >= minNumInstances.
CheckOptionHandler - Class in weka.core
  Simple command line checking of classes that implement OptionHandler.
CheckOptionHandler() - Constructor for class weka.core.CheckOptionHandler
checkRemainingOptions() - Method in class weka.core.CheckOptionHandler
  checks whether the user-supplied options can be processed completely or some "left-over" options remain
checkResettingOptions() - Method in class weka.core.CheckOptionHandler
  checks whether the optionhandler can be re-setted again to default options after the user-supplied options have been set.
CheckScheme - Class in weka.core
  Abstract general class for testing schemes in Weka.
CheckScheme() - Constructor for class weka.core.CheckScheme
CheckScheme.PostProcessor - Class in weka.core
  a class for postprocessing the test-data
CheckScheme.PostProcessor() - Constructor for class weka.core.CheckScheme.PostProcessor
checkSetOptions() - Method in class weka.core.CheckOptionHandler
  checks whether the user-supplied options can be processed at all
CheckSource - Class in weka.classifiers
  A simple class for checking the source generated from Classifiers implementing the `weka.classifiers.Sourcable` interface.
CheckSource() - Constructor for class weka.classifiers.CheckSource
CheckSource - Class in weka.filters
  A simple class for checking the source generated from Filters implementing the `weka.filters.Sourcable` interface.
CheckSource() - Constructor for class weka.filters.CheckSource
checkStatus(Object) - Method in interface weka.experiment.Compute
  Check on the status of a `Task`
checkStatus(Object) - Method in class weka.experiment.RemoteEngine
  Returns status information on a particular task
checksTurnedOffTipText() - Method in class weka.classifiers.functions.SMO
  Returns the tip text for this property
checksTurnedOffTipText() - Method in class weka.classifiers.functions.supportVector.Kernel
  Returns the tip text for this property
checksTurnedOffTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Returns the tip text for this property
checkToolTips() - Method in class weka.core.CheckGOE
  checks whether the object declares tip text method for all its properties.
ChildParent - Class in weka.core.pmml.jaxbbindings
  Java class for ChildParent element declaration.
ChildParent() - Constructor for class weka.core.pmml.jaxbbindings.ChildParent
childrenValues() - Method in class weka.gui.HierarchyPropertyParser
  The value in the children nodes.
chisqDistribution - Static variable in class weka.core.matrix.Maths
  Distribution type: chi-squared
chiSquared(double[][], boolean) - Static method in class weka.core.ContingencyTables
  Returns chi-squared probability for a given matrix.
chiSquaredProbability(double, double) - Static method in class weka.core.Statistics
  Returns chi-squared probability for given value and degrees of freedom.
chiVal(double[][], boolean) - Static method in class weka.core.ContingencyTables
  Computes chi-squared statistic for a contingency table.
chol() - Method in class weka.core.matrix.Matrix
  Cholesky Decomposition
CholeskyDecomposition - Class in weka.core.matrix
  Cholesky Decomposition.
CholeskyDecomposition(Matrix) - Constructor for class weka.core.matrix.CholeskyDecomposition
  Cholesky algorithm for symmetric and positive definite matrix.
chooseIndex() - Method in class weka.classifiers.rules.part.ClassifierDecList
  Method for choosing a subset to expand.
chooseLastIndex() - Method in class weka.classifiers.rules.part.ClassifierDecList
  Choose last index (ie.
CISearchAlgorithm - Class in weka.classifiers.bayes.net.search.ci
  The CISearchAlgorithm class supports Bayes net structure search algorithms that are based on conditional independence test (as opposed to for example score based of cross validation based search algorithms).
CISearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
CityBlock - Class in weka.core.pmml.jaxbbindings
  Java class for cityBlock element declaration.
CityBlock() - Constructor for class weka.core.pmml.jaxbbindings.CityBlock
CLASS - Static variable in class weka.core.json.JSONInstances
  the class attribute indicator.
CLASS_GROOVYCLASSLOADER - Static variable in class weka.core.scripting.Groovy
  the classname of the Groovy classloader.
CLASS_IS_LAST - Static variable in class weka.core.TestInstances
  can be used for settting the class attribute index to last
CLASS_PYTHONINERPRETER - Static variable in class weka.core.scripting.Jython
  the classname of the Python interpreter
CLASS_PYTHONOBJECTINPUTSTREAM - Static variable in class weka.core.scripting.Jython
  the classname of the Python ObjectInputStream
ClassAssigner - Class in weka.filters.unsupervised.attribute
  Filter that can set and unset the class index.
ClassAssigner() - Constructor for class weka.filters.unsupervised.attribute.ClassAssigner
ClassAssigner - Class in weka.gui.beans
  Bean that assigns a class attribute to a data set.
ClassAssigner() - Constructor for class weka.gui.beans.ClassAssigner
ClassAssignerBeanInfo - Class in weka.gui.beans
  BeanInfo class for the class assigner bean
ClassAssignerBeanInfo() - Constructor for class weka.gui.beans.ClassAssignerBeanInfo
ClassAssignerCustomizer - Class in weka.gui.beans
  GUI customizer for the class assigner bean
ClassAssignerCustomizer() - Constructor for class weka.gui.beans.ClassAssignerCustomizer
classAttribute() - Method in class weka.core.AbstractInstance
  Returns class attribute.
classAttribute() - Method in interface weka.core.Instance
  Returns class attribute.
classAttribute() - Method in class weka.core.Instances
  Returns the class attribute.
classAttributeNames() - Method in class weka.classifiers.functions.SMO
ClassBalancer - Class in weka.filters.supervised.instance
  Reweights the instances in the data so that each class has the same total weight.
ClassBalancer() - Constructor for class weka.filters.supervised.instance.ClassBalancer
ClassCache - Class in weka.core
  A singleton that stores all classes on the classpath.
ClassCache() - Constructor for class weka.core.ClassCache
  Initializes the cache.
ClassCache.ClassFileFilter - Class in weka.core
  For filtering classes.
ClassCache.ClassFileFilter() - Constructor for class weka.core.ClassCache.ClassFileFilter
ClassCache.DirectoryFilter - Class in weka.core
  For filtering classes.
ClassCache.DirectoryFilter() - Constructor for class weka.core.ClassCache.DirectoryFilter
classColumnTipText() - Method in class weka.gui.beans.ClassAssigner
  Tool tip text for this property
ClassDiscovery - Class in weka.core
  This class is used for discovering classes that implement a certain interface or a derived from a certain class.
ClassDiscovery() - Constructor for class weka.core.ClassDiscovery
ClassDiscovery.StringCompare - Class in weka.core
  compares two strings.
ClassDiscovery.StringCompare() - Constructor for class weka.core.ClassDiscovery.StringCompare
classDistributionIsPure() - Method in class weka.classifiers.trees.ht.HNode
  Returns true if the class distribution is pure
classFirst(boolean) - Method in class weka.experiment.Experiment
  Sets whether the first attribute is treated as the class for all datasets involved in the experiment.
classFlagTipText() - Method in class weka.datagenerators.ClusterGenerator
  Returns the tip text for this property
ClassificationGenerator - Class in weka.datagenerators
  Abstract class for data generators for classifiers.
ClassificationGenerator() - Constructor for class weka.datagenerators.ClassificationGenerator
  initializes with default values
ClassificationViaRegression - Class in weka.classifiers.meta
  Class for doing classification using regression methods.
ClassificationViaRegression() - Constructor for class weka.classifiers.meta.ClassificationViaRegression
  Default constructor.
Classifier - Interface in weka.classifiers
  Classifier interface.
Classifier - Class in weka.gui.beans
  Bean that wraps around weka.classifiers
Classifier() - Constructor for class weka.gui.beans.Classifier
  Creates a new `Classifier` instance.
ClassifierBeanInfo - Class in weka.gui.beans
  BeanInfo class for the Classifier wrapper bean
ClassifierBeanInfo() - Constructor for class weka.gui.beans.ClassifierBeanInfo
ClassifierCustomizer - Class in weka.gui.beans
  GUI customizer for the classifier wrapper bean
ClassifierCustomizer() - Constructor for class weka.gui.beans.ClassifierCustomizer
ClassifierDecList - Class in weka.classifiers.rules.part
  Class for handling a rule (partial tree) for a decision list.
ClassifierDecList(ModelSelection, int) - Constructor for class weka.classifiers.rules.part.ClassifierDecList
  Constructor - just calls constructor of class DecList.
ClassifierErrorsPlotInstances - Class in weka.gui.explorer
  A class for generating plottable visualization errors.
ClassifierErrorsPlotInstances() - Constructor for class weka.gui.explorer.ClassifierErrorsPlotInstances
ClassifierPanel - Class in weka.gui.explorer
  This panel allows the user to select and configure a classifier, set the attribute of the current dataset to be used as the class, and evaluate the classifier using a number of testing modes (test on the training data, train/test on a percentage split, n-fold cross-validation, test on a separate split).
ClassifierPanel() - Constructor for class weka.gui.explorer.ClassifierPanel
  Creates the classifier panel.
ClassifierPanelLaunchHandlerPlugin - Interface in weka.gui.explorer
  Interface to plugin that can take the current state of the Classifier panel and execute it.
ClassifierPerformanceEvaluator - Class in weka.gui.beans
  A bean that evaluates the performance of batch trained classifiers
ClassifierPerformanceEvaluator() - Constructor for class weka.gui.beans.ClassifierPerformanceEvaluator
ClassifierPerformanceEvaluatorBeanInfo - Class in weka.gui.beans
  Bean info class for the classifier performance evaluator
ClassifierPerformanceEvaluatorBeanInfo() - Constructor for class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
ClassifierPerformanceEvaluatorCustomizer - Class in weka.gui.beans
  GUI customizer for the classifier performance evaluator component
ClassifierPerformanceEvaluatorCustomizer() - Constructor for class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
  Constructor
classifiers() - Method in class weka.classifiers.meta.LogitBoost
  Returns the array of classifiers that have been built.
ClassifierSplitEvaluator - Class in weka.experiment
  A SplitEvaluator that produces results for a classification scheme on a nominal class attribute.
ClassifierSplitEvaluator() - Constructor for class weka.experiment.ClassifierSplitEvaluator
  No args constructor.
ClassifierSplitModel - Class in weka.classifiers.trees.j48
  Abstract class for classification models that can be used recursively to split the data.
ClassifierSplitModel() - Constructor for class weka.classifiers.trees.j48.ClassifierSplitModel
classifiersTipText() - Method in class weka.classifiers.meta.MultiScheme
  Returns the tip text for this property
classifiersTipText() - Method in class weka.classifiers.MultipleClassifiersCombiner
  Returns the tip text for this property
classifierTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
  Returns the tip text for this property
classifierTipText() - Method in class weka.classifiers.SingleClassifierEnhancer
  Returns the tip text for this property
classifierTipText() - Method in class weka.experiment.ClassifierSplitEvaluator
  Returns the tip text for this property
classifierTipText() - Method in class weka.experiment.RegressionSplitEvaluator
  Returns the tip text for this property
classifierTipText() - Method in class weka.filters.supervised.attribute.AddClassification
  Returns the tip text for this property.
classifierTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Returns the tip text for this property
ClassifierTree - Class in weka.classifiers.trees.j48
  Class for handling a tree structure used for classification.
ClassifierTree(ModelSelection) - Constructor for class weka.classifiers.trees.j48.ClassifierTree
  Constructor.
CLASSIFY_CHILD - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
  Asks for another learning scheme to classify this node.
classifyInstance(Instance) - Method in class weka.classifiers.AbstractClassifier
  Classifies the given test instance.
classifyInstance(Instance) - Method in interface weka.classifiers.Classifier
  Classifies the given test instance.
classifyInstance(Instance) - Method in class weka.classifiers.functions.GaussianProcesses
  Classifies a given instance.
classifyInstance(Instance) - Method in class weka.classifiers.functions.LinearRegression
  Classifies the given instance using the linear regression function.
classifyInstance(Instance) - Method in class weka.classifiers.functions.SimpleLinearRegression
  Generate a prediction for the supplied instance.
classifyInstance(Instance) - Method in class weka.classifiers.functions.SMOreg
  Classifies the given instance using the linear regression function.
classifyInstance(Instance) - Method in class weka.classifiers.meta.AdditiveRegression
  Classify an instance.
classifyInstance(Instance) - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns a predicted class for the test instance.
classifyInstance(Instance) - Method in class weka.classifiers.meta.Vote
  Classifies the given test instance.
classifyInstance(Instance) - Method in class weka.classifiers.misc.InputMappedClassifier
classifyInstance(Instance) - Method in class weka.classifiers.rules.OneR
  Classifies a given instance.
classifyInstance(Instance) - Method in class weka.classifiers.rules.part.ClassifierDecList
  Classifies an instance.
classifyInstance(Instance) - Method in class weka.classifiers.rules.PART
  Classifies an instance.
classifyInstance(Instance) - Method in class weka.classifiers.rules.part.MakeDecList
  Classifies an instance.
classifyInstance(Instance) - Method in class weka.classifiers.rules.ZeroR
  Classifies a given instance.
classifyInstance(Instance) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Classifies a given instance.
classifyInstance(Instance) - Method in class weka.classifiers.trees.j48.ClassifierTree
  Classifies an instance.
classifyInstance(Instance) - Method in class weka.classifiers.trees.J48
  Classifies an instance.
classifyInstance(Instance) - Method in class weka.classifiers.trees.LMT
  Classifies an instance.
classifyInstance(Instance) - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
  Generate a prediction for the supplied instance.
classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.M5Base
  Calculates a prediction for an instance using a set of rules or an M5 model tree
classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
  Predicts the class of the supplied instance using the linear model.
classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.Rule
  Calculates a prediction for an instance using this rule or M5 model tree
classifyInstance(Instance) - Method in class weka.classifiers.trees.m5.RuleNode
  Classify an instance using this node.
classIndex() - Method in class weka.core.AbstractInstance
  Returns the class attribute's index.
classIndex() - Method in interface weka.core.Instance
  Returns the class attribute's index.
classIndex() - Method in class weka.core.Instances
  Returns the class attribute's index.
classIndexTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
classIndexTipText() - Method in class weka.associations.FilteredAssociator
  Returns the tip text for this property
classIndexTipText() - Method in class weka.core.converters.JSONSaver
  Returns the tip text for this property.
classIndexTipText() - Method in class weka.core.converters.LibSVMSaver
  Returns the tip text for this property
classIndexTipText() - Method in class weka.core.converters.SVMLightSaver
  Returns the tip text for this property.
classIndexTipText() - Method in class weka.core.converters.XRFFSaver
  Returns the tip text for this property
classIndexTipText() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
  Returns the tip text for this property.
classIndexTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Returns the tip text for this property
classIsMissing() - Method in class weka.core.AbstractInstance
  Tests if an instance's class is missing.
classIsMissing() - Method in interface weka.core.Instance
  Tests if an instance's class is missing.
ClassLabels - Class in weka.core.pmml.jaxbbindings
  Java class for ClassLabels element declaration.
ClassLabels() - Constructor for class weka.core.pmml.jaxbbindings.ClassLabels
ClassloaderUtil - Class in weka.core
  Utility class that can add jar files to the classpath dynamically.
ClassloaderUtil() - Constructor for class weka.core.ClassloaderUtil
className(int) - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Gets the name of one of the classes.
classNameTipText() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Returns the tip text for this property
ClassOrder - Class in weka.filters.supervised.attribute
  Changes the order of the classes so that the class values are no longer of in the order specified in the header.
ClassOrder() - Constructor for class weka.filters.supervised.attribute.ClassOrder
classOrderTipText() - Method in class weka.filters.supervised.attribute.ClassOrder
  Returns the tip text for this property
ClassPanel - Class in weka.gui.visualize
  This panel displays coloured labels for nominal attributes and a spectrum for numeric attributes.
ClassPanel() - Constructor for class weka.gui.visualize.ClassPanel
ClassPanel(Color) - Constructor for class weka.gui.visualize.ClassPanel
classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.BinC45Split
  Gets class probability for instance.
classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.C45Split
  Gets class probability for instance.
classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Gets class probability for instance.
classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Return the probability for a class value
classProb(int, Instance, int) - Method in class weka.classifiers.trees.j48.NBTreeSplit
  Return the probability for a class value
classProbLaplace(int, Instance, int) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Gets class probability for instance.
classValue() - Method in class weka.core.AbstractInstance
  Returns an instance's class value in internal format.
classValue() - Method in interface weka.core.Instance
  Returns an instance's class value as a floating-point number.
classValueIndexTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the tip text for this property
ClassValuePicker - Class in weka.gui.beans
ClassValuePicker() - Constructor for class weka.gui.beans.ClassValuePicker
ClassValuePickerBeanInfo - Class in weka.gui.beans
  BeanInfo class for the class value picker bean
ClassValuePickerBeanInfo() - Constructor for class weka.gui.beans.ClassValuePickerBeanInfo
ClassValuePickerCustomizer - Class in weka.gui.beans
ClassValuePickerCustomizer() - Constructor for class weka.gui.beans.ClassValuePickerCustomizer
clean() - Method in class weka.classifiers.functions.supportVector.CachedKernel
  Frees the cache used by the kernel.
clean() - Method in class weka.classifiers.functions.supportVector.Kernel
  Frees the memory used by the kernel.
clean() - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Frees the cache used by the kernel.
clean() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Frees the memory used by the kernel.
clean() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Frees the memory used by the kernel.
clean() - Method in interface weka.core.DistanceFunction
  Free any references to training instances
clean() - Method in class weka.core.FilteredDistance
  Free any references to training instances
clean() - Method in class weka.core.NormalizableDistance
cleanup(Instances) - Method in class weka.classifiers.rules.part.ClassifierDecList
  Cleanup in order to save memory.
cleanUp() - Method in class weka.classifiers.rules.RuleStats
  Frees up memory after classifier has been built.
cleanup() - Method in class weka.classifiers.trees.j48.BinC45ModelSelection
  Sets reference to training data to null.
cleanup() - Method in class weka.classifiers.trees.j48.C45ModelSelection
  Sets reference to training data to null.
cleanup(Instances) - Method in class weka.classifiers.trees.j48.ClassifierTree
  Cleanup in order to save memory.
cleanup() - Method in class weka.classifiers.trees.j48.NBTreeModelSelection
  Sets reference to training data to null.
cleanup() - Method in class weka.classifiers.trees.lmt.LogisticBase
  Cleanup in order to save memory.
cleanup() - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
  Method not in use
cleanUp() - Method in class weka.clusterers.Canopy
  Save memory
cleanUp() - Method in class weka.gui.explorer.AbstractPlotInstances
  For freeing up memory.
cleanUp() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  For freeing up memory.
cleanUp() - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
  For freeing up memory.
clear() - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
  Clears this hashtable so that it contains no keys.
clear() - Method in class weka.classifiers.xml.XMLClassifier
  generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
clear() - Method in class weka.core.neighboursearch.covertrees.Stack
  Removes all the elements from the stack.
clear() - Method in class weka.core.ProtectedProperties
  Overrides a method to prevent the properties from being modified.
clear() - Method in class weka.core.Stopwords
  removes all stopwords
clear() - Method in class weka.core.Tee
  removes all streams and places the default printstream, if any, again in the list.
clear() - Method in class weka.core.Trie
  Removes all of the elements from this collection
clear() - Method in class weka.core.xml.MethodHandler
  removes all mappings
clear() - Method in class weka.core.xml.XMLBasicSerialization
  generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
clear() - Method in class weka.core.xml.XMLDocument
  sets up an empty DOM document, with the current DOCTYPE and root node.
clear() - Method in class weka.core.xml.XMLSerialization
  generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
clear() - Method in class weka.core.xml.XMLSerializationMethodHandler
  removes all current methods and adds the methods according to the
clear() - Method in class weka.experiment.ResultMatrix
  removes the stored data and the ordering, but retains the dimensions of the matrix.
clear() - Method in class weka.experiment.ResultMatrixCSV
  removes the stored data but retains the dimensions of the matrix.
clear() - Method in class weka.experiment.ResultMatrixGnuPlot
  removes the stored data but retains the dimensions of the matrix.
clear() - Method in class weka.experiment.ResultMatrixLatex
  removes the stored data but retains the dimensions of the matrix.
clear() - Method in class weka.experiment.xml.XMLExperiment
  generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
clear() - Method in class weka.gui.beans.xml.XMLBeans
  generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
clear() - Method in class weka.gui.GenericObjectEditorHistory
  Clears the history.
clear() - Method in class weka.gui.LogWindow
  clears the output
clear() - Method in class weka.gui.sql.ConnectionPanel
  sets the parameters back to standard.
clear() - Method in class weka.gui.sql.InfoPanel
  clears the content of the panel
clear() - Method in class weka.gui.sql.QueryPanel
  clears the textarea.
clear() - Method in class weka.gui.sql.ResultPanel
  sets the parameters back to standard
clear() - Method in class weka.gui.sql.SqlViewer
  calls the clear method of all sub-panels to set back to default values and free up memory.
clearAttributeSpecs() - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Clear the list of attribute specifications
clearCache() - Static method in class weka.core.ClassDiscovery
  clears the cache for class/classnames queries.
clearClassCache() - Static method in class weka.core.ClassDiscovery
  Calls clearCache() and resets the cache of classes on the classpath (i.e.
clearHeader() - Method in class weka.experiment.ResultMatrix
  removes all the header information.
clearLayout() - Method in class weka.gui.beans.KnowledgeFlowApp
clearRanking() - Method in class weka.experiment.ResultMatrix
  clears the currently stored ranking data.
clearRect(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Draw a filled rectangle with the background color.
clearResults() - Method in class weka.gui.ResultHistoryPanel
  Removes all of the result buffers from the history.
clearSearch() - Method in class weka.gui.arffviewer.ArffPanel
  clears the search, i.e.
clearSearch() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  clears the search, i.e.
clearStatus() - Method in class weka.gui.beans.LogPanel
  Clear the status area.
clearSummary() - Method in class weka.experiment.ResultMatrix
  clears the current summary data.
clearUndo() - Method in interface weka.core.Undoable
  removes the undo history
clearUndo() - Method in class weka.gui.arffviewer.ArffPanel
  removes the undo history
clearUndo() - Method in class weka.gui.arffviewer.ArffSortedTableModel
  removes the undo history
clearUndo() - Method in class weka.gui.arffviewer.ArffTableModel
  removes the undo history
clearUndoStack() - Method in class weka.classifiers.bayes.net.EditableBayesNet
  remove all actions from the undo stack
clip(Shape) - Method in class weka.gui.visualize.PostscriptGraphics
clipRect(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
clone() - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Creates and returns a clone of this object.
clone() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Allows to clone a model (shallow copy).
clone() - Method in class weka.classifiers.trees.j48.Distribution
  Clones distribution (Deep copy of distribution).
clone() - Method in class weka.core.AlgVector
  Creates and returns a clone of this object.
clone() - Method in class weka.core.Capabilities
  Creates and returns a copy of this object.
clone() - Method in class weka.core.Matrix
  Deprecated.
  Creates and returns a clone of this object.
clone() - Method in class weka.core.matrix.DoubleVector
  Clones the DoubleVector object.
clone() - Method in class weka.core.matrix.IntVector
  Clones the IntVector object.
clone() - Method in class weka.core.matrix.Matrix
  Clone the Matrix object.
clone() - Method in class weka.core.PropertyPath.PathElement
  returns a clone of the current object
clone() - Method in class weka.core.TestInstances
  creates a clone of the current object
clone() - Method in class weka.core.Trie
  returns a deep copy of itself
clone() - Method in class weka.core.Trie.TrieNode
  creates a deep copy of itself
clone(Estimator) - Static method in class weka.estimators.Estimator
  Creates a deep copy of the given estimator using serialization.
clone() - Method in class weka.estimators.MultivariateGaussianEstimator
close(ResultSet) - Method in class weka.experiment.DatabaseUtils
  closes the ResultSet and the statement that generated the ResultSet to avoid memory leaks in JDBC drivers - in contrast to the JDBC specs, a lot of JDBC drives don't clean up correctly.
close() - Method in class weka.experiment.DatabaseUtils
  closes the m_PreparedStatement to avoid memory leaks.
close() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  closes the window, i.e., if the parent is not null and implements the WindowListener interface it calls the windowClosing method
close() - Method in class weka.gui.LogWindow
  closes the frame
closeAllFiles() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  closes all open files
closeAllTabs() - Method in class weka.gui.beans.KnowledgeFlowApp
closeFile() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  closes the current tab
closeFile(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  closes the current tab
closeFrame() - Method in class weka.gui.SetInstancesPanel
  closes the frame, i.e., the visibility is set to false.
closestPoint(Instance, Instances, int[]) - Method in class weka.core.EuclideanDistance
  Returns the index of the closest point to the current instance.
closeToDefaultTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the tip text for this property
closeToTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the tip text for this property
closeToToleranceTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the tip text for this property
closingCancel() - Method in interface weka.gui.beans.GOECustomizer
  Gets called when the customizer is closing under a CANCEL condition
closingCancel() - Method in class weka.gui.filters.AddUserFieldsCustomizer
  Actions to perform when the user has closed the dialog with the Cancel button
closingCancel() - Method in class weka.gui.PropertySheetPanel
  Pass on a CANCEL closing notificiation to the customizer (if one is in use).
closingOK() - Method in interface weka.gui.beans.GOECustomizer
  Gets called when the customizer is closing under an OK condition
closingOK() - Method in class weka.gui.filters.AddUserFieldsCustomizer
  Actions to perform when the user has closed the dialog with the OK button.
closingOK() - Method in class weka.gui.PropertySheetPanel
  Pass on an OK closing notification to the customizer (if one is in use)
Cluster - Class in weka.core.pmml.jaxbbindings
  Java class for Cluster element declaration.
Cluster() - Constructor for class weka.core.pmml.jaxbbindings.Cluster
ClusterDefinition - Class in weka.datagenerators
  Ancestor to all ClusterDefinitions, i.e., subclasses that handle their own parameters that the cluster generator only passes on.
ClusterDefinition() - Constructor for class weka.datagenerators.ClusterDefinition
  initializes the cluster, without a parent cluster (necessary for GOE)
ClusterDefinition(ClusterGenerator) - Constructor for class weka.datagenerators.ClusterDefinition
  initializes the cluster
clusterDefinitionsTipText() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Returns the tip text for this property
Clusterer - Interface in weka.clusterers
  Interface for clusterers.
Clusterer - Class in weka.gui.beans
  Bean that wraps around weka.clusterers
Clusterer() - Constructor for class weka.gui.beans.Clusterer
  Creates a new `Clusterer` instance.
ClustererAssignmentsPlotInstances - Class in weka.gui.explorer
  A class for generating plottable cluster assignments.
ClustererAssignmentsPlotInstances() - Constructor for class weka.gui.explorer.ClustererAssignmentsPlotInstances
ClustererBeanInfo - Class in weka.gui.beans
  BeanInfo class for the Clusterer wrapper bean
ClustererBeanInfo() - Constructor for class weka.gui.beans.ClustererBeanInfo
ClustererCustomizer - Class in weka.gui.beans
  GUI customizer for the Clusterer wrapper bean
ClustererCustomizer() - Constructor for class weka.gui.beans.ClustererCustomizer
ClustererPanel - Class in weka.gui.explorer
  This panel allows the user to select and configure a clusterer, and evaluate the clusterer using a number of testing modes (test on the training data, train/test on a percentage split, test on a separate split).
ClustererPanel() - Constructor for class weka.gui.explorer.ClustererPanel
  Creates the clusterer panel
ClustererPanelLaunchHandlerPlugin - Interface in weka.gui.explorer
  Interface to plugin that can take the current state of the Clusterer panel and execute it.
ClustererPerformanceEvaluator - Class in weka.gui.beans
  A bean that evaluates the performance of batch trained clusterers
ClustererPerformanceEvaluator() - Constructor for class weka.gui.beans.ClustererPerformanceEvaluator
ClustererPerformanceEvaluatorBeanInfo - Class in weka.gui.beans
  Bean info class for the clusterer performance evaluator
ClustererPerformanceEvaluatorBeanInfo() - Constructor for class weka.gui.beans.ClustererPerformanceEvaluatorBeanInfo
clustererTipText() - Method in class weka.clusterers.MakeDensityBasedClusterer
  Returns the tip text for this property
clustererTipText() - Method in class weka.clusterers.SingleClustererEnhancer
  Returns the tip text for this property
clustererTipText() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Returns the tip text for this property
clustererTipText() - Method in class weka.filters.unsupervised.attribute.AddCluster
  Returns the tip text for this property.
ClusterEvaluation - Class in weka.clusterers
  Class for evaluating clustering models.
ClusterEvaluation() - Constructor for class weka.clusterers.ClusterEvaluation
  Constructor.
ClusterGenerator - Class in weka.datagenerators
  Abstract class for cluster data generators.
ClusterGenerator() - Constructor for class weka.datagenerators.ClusterGenerator
  initializes the generator
ClusteringField - Class in weka.core.pmml.jaxbbindings
  Java class for ClusteringField element declaration.
ClusteringField() - Constructor for class weka.core.pmml.jaxbbindings.ClusteringField
ClusteringModel - Class in weka.core.pmml.jaxbbindings
  Java class for ClusteringModel element declaration.
ClusteringModel() - Constructor for class weka.core.pmml.jaxbbindings.ClusteringModel
ClusteringModelQuality - Class in weka.core.pmml.jaxbbindings
  Java class for ClusteringModelQuality element declaration.
ClusteringModelQuality() - Constructor for class weka.core.pmml.jaxbbindings.ClusteringModelQuality
clusterInstance(Instance) - Method in class weka.clusterers.AbstractClusterer
  Classifies a given instance.
clusterInstance(Instance) - Method in interface weka.clusterers.Clusterer
  Classifies a given instance.
clusterInstance(Instance) - Method in class weka.clusterers.Cobweb
  Classifies a given instance.
clusterInstance(Instance) - Method in class weka.clusterers.FarthestFirst
  Classifies a given instance.
clusterInstance(Instance) - Method in class weka.clusterers.HierarchicalClusterer
clusterInstance(Instance) - Method in class weka.clusterers.SimpleKMeans
  Classifies a given instance.
ClusterMembership - Class in weka.filters.unsupervised.attribute
  A filter that uses a density-based clusterer to generate cluster membership values; filtered instances are composed of these values plus the class attribute (if set in the input data).
ClusterMembership() - Constructor for class weka.filters.unsupervised.attribute.ClusterMembership
clusterPriors() - Method in class weka.clusterers.AbstractDensityBasedClusterer
  Returns the prior probability of each cluster.
clusterPriors() - Method in interface weka.clusterers.DensityBasedClusterer
  Returns the prior probability of each cluster.
clusterPriors() - Method in class weka.clusterers.EM
  Returns the cluster priors.
clusterPriors() - Method in class weka.clusterers.MakeDensityBasedClusterer
  Returns the cluster priors.
clusterResultsToString() - Method in class weka.clusterers.ClusterEvaluation
  return the results of clustering.
clusterSubTypeTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Returns the tip text for this property
clusterTypeTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Returns the tip text for this property
Cobweb - Class in weka.clusterers
  Class implementing the Cobweb and Classit clustering algorithms.
  Note: the application of node operators (merging, splitting etc.) in terms of ordering and priority differs (and is somewhat ambiguous) between the original Cobweb and Classit papers.
Cobweb() - Constructor for class weka.clusterers.Cobweb
  default constructor
Cobweb.CNode - Class in weka.clusterers
  Inner class handling node operations for Cobweb.
Cobweb.CNode(int) - Constructor for class weka.clusterers.Cobweb.CNode
  Creates an empty `CNode` instance.
Cobweb.CNode(int, Instance) - Constructor for class weka.clusterers.Cobweb.CNode
  Creates a new leaf `CNode` instance.
cochransCriterion(double[][]) - Static method in class weka.core.ContingencyTables
  Tests if Cochran's criterion is fullfilled for the given contingency table.
codingCost() - Method in class weka.classifiers.trees.j48.C45Split
  Returns coding cost for split (used in rule learner).
codingCost() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Returns coding costs of model.
Coefficient - Class in weka.core.pmml.jaxbbindings
  Java class for Coefficient element declaration.
Coefficient() - Constructor for class weka.core.pmml.jaxbbindings.Coefficient
coefficients() - Method in class weka.classifiers.functions.LinearRegression
  Returns the coefficients for this linear model.
coefficients() - Method in class weka.classifiers.functions.Logistic
  Returns the coefficients for this logistic model.
coefficients() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
  Return the array of coefficients
Coefficients - Class in weka.core.pmml.jaxbbindings
  Java class for Coefficients element declaration.
Coefficients() - Constructor for class weka.core.pmml.jaxbbindings.Coefficients
collapse() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
  Collapses a tree to a node if training error doesn't increase.
collapseTreeTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
colNameWidthTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
COLON - Static variable in interface weka.core.json.sym
COLOR_STDERR - Static variable in class weka.gui.LogWindow
  the Color of the style for stderr
COLOR_STDOUT - Static variable in class weka.gui.LogWindow
  the color of the style for stdout
Colors - Class in weka.gui.treevisualizer
  This class maintains a list that contains all the colornames from the dotty standard and what color (in RGB) they represent
Colors() - Constructor for class weka.gui.treevisualizer.Colors
combinationRuleTipText() - Method in class weka.classifiers.meta.Vote
  Returns the tip text for this property
combinedDL(double, double) - Method in class weka.classifiers.rules.RuleStats
  Compute the combined DL of the ruleset in this class, i.e.
combSort11(double[], int[]) - Static method in class weka.core.neighboursearch.NearestNeighbourSearch
  sorts the two given arrays.
COMMA - Static variable in interface weka.core.json.sym
COMMA - Static variable in interface weka.core.mathematicalexpression.sym
COMMA - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
CommandlineRunnable - Interface in weka.core
  Interface to something that can be run from the command line.
compactify() - Method in class weka.core.Instances
  Compactifies the set of instances.
compare(String, String) - Method in class weka.core.ClassDiscovery.StringCompare
  Compares its two arguments for order.
compare(Instance, Instance) - Method in class weka.core.InstanceComparator
  compares the two instances, returns -1 if o1 is smaller than o2, 0 if equal and +1 if greater.
compare(String, String) - Method in class weka.filters.unsupervised.attribute.SortLabels.CaseInsensitiveComparator
  compares the two strings, returns -1 if o1 is smaller than o2, 0 if equal and +1 if greater.
compare(String, String) - Method in class weka.filters.unsupervised.attribute.SortLabels.CaseSensitiveComparator
  compares the two strings, returns -1 if o1 is smaller than o2, 0 if equal and +1 if greater.
COMPAREFUNCTION - Enum in weka.core.pmml.jaxbbindings
  Java class for COMPARE-FUNCTION.
compareTo(AssociationRule) - Method in class weka.associations.AssociationRule
  Compare this rule to the supplied rule.
compareTo(Item) - Method in class weka.associations.Item
  Ensures that items will be sorted in descending order of frequency.
compareTo(SplitCandidate) - Method in class weka.classifiers.trees.ht.SplitCandidate
compareTo(AttributeLocator) - Method in class weka.core.AttributeLocator
  Compares this object with the specified object for order.
compareTo(String) - Method in class weka.core.Version
  checks the version of this class against the given version-string
compareTo(SortedTableModel.SortContainer) - Method in class weka.gui.SortedTableModel.SortContainer
  Compares this object with the specified object for order.
ComparisonMeasure - Class in weka.core.pmml.jaxbbindings
  Java class for ComparisonMeasure element declaration.
ComparisonMeasure() - Constructor for class weka.core.pmml.jaxbbindings.ComparisonMeasure
Comparisons - Class in weka.core.pmml.jaxbbindings
  Java class for Comparisons element declaration.
Comparisons() - Constructor for class weka.core.pmml.jaxbbindings.Comparisons
ComponentHelper - Class in weka.gui
  A helper class for some common tasks with Dialogs, Icons, etc.
ComponentHelper() - Constructor for class weka.gui.ComponentHelper
componentHidden(ComponentEvent) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
componentMoved(ComponentEvent) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
componentResized(ComponentEvent) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
componentShown(ComponentEvent) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
CompoundPredicate - Class in weka.core.pmml.jaxbbindings
  Java class for CompoundPredicate element declaration.
CompoundPredicate() - Constructor for class weka.core.pmml.jaxbbindings.CompoundPredicate
CompoundRule - Class in weka.core.pmml.jaxbbindings
  Java class for CompoundRule element declaration.
CompoundRule() - Constructor for class weka.core.pmml.jaxbbindings.CompoundRule
compressOutputTipText() - Method in class weka.core.converters.ArffSaver
  Returns the tip text for this property
compressOutputTipText() - Method in class weka.core.converters.JSONSaver
  Returns the tip text for this property.
compressOutputTipText() - Method in class weka.core.converters.XRFFSaver
  Returns the tip text for this property
Compute - Interface in weka.experiment
  Interface to something that can accept remote connections and execute a task.
computeMinMaxAtts() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Set up the bounds of our graphic based by finding the smallest reasonable area in the instance space to surround our data points.
Con1 - Class in weka.core.pmml.jaxbbindings
  Java class for Con element declaration.
Con1() - Constructor for class weka.core.pmml.jaxbbindings.Con1
cond() - Method in class weka.core.matrix.Matrix
  Matrix condition (2 norm)
cond() - Method in class weka.core.matrix.SingularValueDecomposition
  Two norm condition number
ConditionalDensityEstimator - Interface in weka.classifiers
  Interface for numeric prediction schemes that can output conditional density estimates.
ConditionalEstimator - Interface in weka.estimators
  Interface for conditional probability estimators.
ConditionalSufficientStats - Class in weka.classifiers.trees.ht
  Records sufficient stats for an attribute
ConditionalSufficientStats() - Constructor for class weka.classifiers.trees.ht.ConditionalSufficientStats
conditionForBranch(String) - Method in class weka.classifiers.trees.ht.Split
  Returns the condition for the supplied branch name
conditionForBranch(String) - Method in class weka.classifiers.trees.ht.UnivariateNominalMultiwaySplit
conditionForBranch(String) - Method in class weka.classifiers.trees.ht.UnivariateNumericBinarySplit
confidenceFactorTipText() - Method in class weka.classifiers.rules.PART
  Returns the tip text for this property
confidenceFactorTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
confidenceForRule(AprioriItemSet, AprioriItemSet) - Static method in class weka.associations.AprioriItemSet
  Outputs the confidence for a rule.
CONFIG - Static variable in class weka.core.Debug
  the log level Vonfig
ConfigurationEvent - Class in weka.gui.beans
  Matching event for ConfigurationListener.
ConfigurationEvent(Object) - Constructor for class weka.gui.beans.ConfigurationEvent
ConfigurationListener - Interface in weka.gui.beans
  Matching listener for ConfigurationEvent.
ConfigurationProducer - Interface in weka.gui.beans
  Marker interface for components that can share their configuration.
ConfusionMatrix - Class in weka.classifiers.evaluation
  Cells of this matrix correspond to counts of the number (or weight) of predictions for each actual value / predicted value combination.
confusionMatrix() - Method in class weka.classifiers.Evaluation
  Returns a copy of the confusion matrix.
ConfusionMatrix(String[]) - Constructor for class weka.classifiers.evaluation.ConfusionMatrix
  Creates the confusion matrix with the given class names.
confusionMatrix() - Method in class weka.classifiers.evaluation.Evaluation
  Returns a copy of the confusion matrix.
ConfusionMatrix - Class in weka.core.pmml.jaxbbindings
  Java class for ConfusionMatrix element declaration.
ConfusionMatrix() - Constructor for class weka.core.pmml.jaxbbindings.ConfusionMatrix
ConjugateGradientOptimization - Class in weka.core
  This subclass of Optimization.java implements conjugate gradient descent rather than BFGS updates, by overriding findArgmin(), with the same tests for convergence, and applies the same line search code.
ConjugateGradientOptimization() - Constructor for class weka.core.ConjugateGradientOptimization
  Constructor that sets MAXITS to 2000 by default and the parameter in the second weak Wolfe condition to 0.1.
connect(NeuralConnection, NeuralConnection) - Static method in class weka.classifiers.functions.neural.NeuralConnection
  Connects two units together.
CONNECT - Static variable in class weka.gui.sql.event.ConnectionEvent
  it was a connect try
CONNECTED - Static variable in class weka.classifiers.functions.neural.NeuralConnection
  This flag is set once the unit has a connection.
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractDataSink
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.AbstractDataSink
  Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(String) - Method in class weka.gui.beans.AbstractEvaluator
  Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractEvaluator
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.AbstractTestSetProducer
  Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractTestSetProducer
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.AbstractTrainingSetProducer
  Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.AbstractTrainingSetProducer
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Appender
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.Appender
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.Associator
  Returns true if, at this time, the object will accept a connection with respect to the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Associator
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(EventSetDescriptor) - Method in interface weka.gui.beans.BeanCommon
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in interface weka.gui.beans.BeanCommon
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.ClassAssigner
  Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ClassAssigner
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.Classifier
  Returns true if, at this time, the object will accept a connection with respect to the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Classifier
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.ClassValuePicker
  Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ClassValuePicker
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.Clusterer
  Returns true if, at this time, the object will accept a connection with respect to the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Clusterer
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.CostBenefitAnalysis
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.CostBenefitAnalysis
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.DataVisualizer
  Returns true if, at this time, the object will accept a connection via the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.DataVisualizer
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.Filter
  Returns true if, at this time, the object will accept a connection with respect to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Filter
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.FlowByExpression
connectionAllowed(String) - Method in class weka.gui.beans.FlowByExpression
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ImageSaver
connectionAllowed(String) - Method in class weka.gui.beans.ImageSaver
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ImageViewer
connectionAllowed(String) - Method in class weka.gui.beans.ImageViewer
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Returns true if, at this time, the object will accept a connection with respect to the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Join
  Returns true if the named connection can be made at this time
connectionAllowed(String) - Method in class weka.gui.beans.Join
  Returns true if the named connection can be made at this time
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Loader
  Returns true if, at this time, the object will accept a connection via the supplied EventSetDescriptor.
connectionAllowed(String) - Method in class weka.gui.beans.Loader
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.MetaBean
  Returns true if, at this time, the object will accept a connection with respect to the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.MetaBean
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.ModelPerformanceChart
  Returns true if, at this time, the object will accept a connection via the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.ModelPerformanceChart
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.PredictionAppender
  Returns true if, at this time, the object will accept a connection according to the supplied event name
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.PredictionAppender
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.SerializedModelSaver
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor.
connectionAllowed(String) - Method in class weka.gui.beans.SerializedModelSaver
  Returns true if, at this time, the object will accept a connection according to the supplied event name.
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.Sorter
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.Sorter
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.StripChart
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.StripChart
  Returns true if, at this time, the object will accept a connection according to the supplied EventSetDescriptor
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.SubstringLabeler
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.SubstringLabeler
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.SubstringReplacer
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(String) - Method in class weka.gui.beans.SubstringReplacer
  Returns true if, at this time, the object will accept a connection via the named event
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.TextSaver
connectionAllowed(String) - Method in class weka.gui.beans.TextSaver
connectionAllowed(EventSetDescriptor) - Method in class weka.gui.beans.TextViewer
  Returns true if, at this time, the object will accept a connection via the supplied EventSetDescriptor
connectionAllowed(String) - Method in class weka.gui.beans.TextViewer
  Returns true if, at this time, the object will accept a connection via the named event
connectionChange(ConnectionEvent) - Method in interface weka.gui.sql.event.ConnectionListener
  This method gets called when the connection is either established or disconnected.
connectionChange(ConnectionEvent) - Method in class weka.gui.sql.QueryPanel
  This method gets called when the connection is either established or disconnected.
connectionChange(ConnectionEvent) - Method in class weka.gui.sql.SqlViewer
  This method gets called when the connection is either established or disconnected.
ConnectionEvent - Class in weka.gui.sql.event
  An event that is generated when a connection is established or dropped.
ConnectionEvent(Object, int, DbUtils) - Constructor for class weka.gui.sql.event.ConnectionEvent
  constructs the event
ConnectionEvent(Object, int, DbUtils, Exception) - Constructor for class weka.gui.sql.event.ConnectionEvent
  constructs the event
ConnectionListener - Interface in weka.gui.sql.event
  A listener for connect/disconnect events.
connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractDataSink
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractEvaluator
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTestSetProducer
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTrainingSetProducer
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.Appender
  Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.Associator
  Notify this object that it has been registered as a listener with a source with respect to the named event
connectionNotification(String, Object) - Method in interface weka.gui.beans.BeanCommon
  Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.ClassAssigner
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.Classifier
  Notify this object that it has been registered as a listener with a source with respect to the named event
connectionNotification(String, Object) - Method in class weka.gui.beans.ClassValuePicker
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.Clusterer
  Notify this object that it has been registered as a listener with a source with respect to the named event
connectionNotification(String, Object) - Method in interface weka.gui.beans.ConnectionNotificationConsumer
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name.
connectionNotification(String, Object) - Method in class weka.gui.beans.CostBenefitAnalysis
  Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.CrossValidationFoldMaker
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.DataVisualizer
  Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.Filter
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.FlowByExpression
connectionNotification(String, Object) - Method in class weka.gui.beans.ImageSaver
connectionNotification(String, Object) - Method in class weka.gui.beans.ImageViewer
connectionNotification(String, Object) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Notify this object that it has been registered as a listener with a source with respect to the named event
connectionNotification(String, Object) - Method in class weka.gui.beans.Join
  Deals with a new connection
connectionNotification(String, Object) - Method in class weka.gui.beans.Loader
  Notify this object that it has been registered as a listener with a source for receiving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.MetaBean
  Notify this object that it has been registered as a listener with a source with respect to the named event.
connectionNotification(String, Object) - Method in class weka.gui.beans.ModelPerformanceChart
  Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.PredictionAppender
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name
connectionNotification(String, Object) - Method in class weka.gui.beans.SerializedModelSaver
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name.
connectionNotification(String, Object) - Method in class weka.gui.beans.Sorter
  Notify this object that it has been registered as a listener with a source for receiving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.StripChart
  Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.SubstringLabeler
  Notify this object that it has been registered as a listener with a source for receiving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.SubstringReplacer
  Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.TextSaver
connectionNotification(String, Object) - Method in class weka.gui.beans.TextViewer
  Notify this object that it has been registered as a listener with a source for recieving events described by the named event This object is responsible for recording this fact.
connectionNotification(String, Object) - Method in class weka.gui.beans.TrainTestSplitMaker
  Notify this object that it has been registered as a listener with a source with respect to the supplied event name
ConnectionNotificationConsumer - Interface in weka.gui.beans
  Interface for Beans that can receive (dis-)connection events generated when (dis-)connecting data processing nodes in the Weka KnowledgeFlow.
ConnectionPanel - Class in weka.gui.sql
  Enables the user to insert a database URL, plus user/password to connect to this database.
ConnectionPanel(JFrame) - Constructor for class weka.gui.sql.ConnectionPanel
  initializes the panel.
connectToDatabase() - Method in class weka.core.converters.DatabaseLoader
  Opens a connection to the database
connectToDatabase() - Method in class weka.core.converters.DatabaseSaver
  Opens a connection to the database.
connectToDatabase() - Method in class weka.experiment.DatabaseUtils
  Opens a connection to the database.
ConsequentSequence - Class in weka.core.pmml.jaxbbindings
  Java class for ConsequentSequence element declaration.
ConsequentSequence() - Constructor for class weka.core.pmml.jaxbbindings.ConsequentSequence
conservativeForwardSelectionTipText() - Method in class weka.attributeSelection.GreedyStepwise
  Returns the tip text for this property
ConsoleLogger - Class in weka.core.logging
  A simple logger that outputs the logging information in the console.
ConsoleLogger() - Constructor for class weka.core.logging.ConsoleLogger
CONST - Static variable in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Constant for Gaussian density.
CONST - Static variable in class weka.estimators.UnivariateKernelEstimator
  Constant for Gaussian density.
CONST - Static variable in class weka.estimators.UnivariateNormalEstimator
  Constant for Gaussian density
CONST_AUTOMATIC_SHAPE - Static variable in class weka.gui.visualize.Plot2D
CONSTANT - Static variable in class weka.classifiers.lazy.LWL
Constant - Class in weka.core.pmml
  Class encapsulating a Constant Expression.
Constant(Element, FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.Constant
  Construct an new Constant Expression.
Constant - Class in weka.core.pmml.jaxbbindings
  Java class for Constant element declaration.
Constant() - Constructor for class weka.core.pmml.jaxbbindings.Constant
Constraints - Class in weka.core.pmml.jaxbbindings
  Java class for Constraints element declaration.
Constraints() - Constructor for class weka.core.pmml.jaxbbindings.Constraints
constructMappedInstance(Instance) - Method in class weka.classifiers.misc.InputMappedClassifier
constructWithCopy(double[][]) - Static method in class weka.core.matrix.Matrix
  Construct a matrix from a copy of a 2-D array.
containChildBallsTipText() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Returns the tip text for this property.
containedBy(Instance) - Method in class weka.associations.ItemSet
  Checks if an instance contains an item set.
containedByTreatZeroAsMissing(Instance) - Method in class weka.associations.ItemSet
  Checks if an instance contains an item set.
contains(int) - Method in class weka.classifiers.bayes.net.ParentSet
  test if node is contained in parent set
contains(int) - Method in class weka.classifiers.functions.supportVector.SMOset
  Checks whether an element is in the set.
contains(String) - Method in class weka.core.pmml.Array
  Returns true if the array contains this string value.
contains(int) - Method in class weka.core.pmml.Array
  Returns true if the array contains this integer value.
contains(double) - Method in class weka.core.pmml.Array
  Returns true if the array contains this real value.
contains(float) - Method in class weka.core.pmml.Array
  Returns true if the array contains this real value.
contains(PrintStream) - Method in class weka.core.Tee
  checks whether the given PrintStream is already in the list.
contains(Object) - Method in class weka.core.Trie
  Returns true if this collection contains the specified element.
contains(String) - Method in class weka.core.Trie.TrieNode
  checks whether a suffix can be found in its children
contains(String) - Method in class weka.core.xml.MethodHandler
  checks whether a method is stored for the given property
contains(Class<?>) - Method in class weka.core.xml.MethodHandler
  checks whether a method is stored for the given class
contains(Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Tests whether the specified object is a component in this list.
contains(String) - Method in class weka.gui.HierarchyPropertyParser
  Whether the HierarchyPropertyParser contains the given string
containsAll(Collection<?>) - Method in class weka.core.Trie
  Returns true if this collection contains all of the elements in the specified collection.
containsEnvVariables(String) - Static method in class weka.core.Environment
  Tests for the presence of environment variables.
containsItems(ArrayList<Item>, boolean) - Method in class weka.associations.AssociationRule
containsKey(double) - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
  Tests if the specified double is a key in this hashtable.
containsKey(double) - Method in class weka.classifiers.lazy.kstar.KStarCache
  Checks if the specified key maps with an entry in the cache table
containsPrefix(String) - Method in class weka.core.Trie
  checks whether the given prefix is stored in the trie
containsValue(double) - Method in class weka.core.pmml.FieldMetaInfo.Interval
  Returns true if this interval contains the supplied value.
containsWindow(Class<?>) - Method in class weka.gui.Main
  checks, whether an instance of the given window class is already in the Window list.
containsWindow(String) - Method in class weka.gui.Main
  checks, whether a window with the given title is already in the Window list.
context() - Method in class weka.gui.HierarchyPropertyParser
  The context of the current node, i.e.
ContingencyTables - Class in weka.core
  Class implementing some statistical routines for contingency tables.
ContingencyTables() - Constructor for class weka.core.ContingencyTables
CONTINUOUS - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
  cluster subtype: continuous
CONTSCORINGMETHOD - Enum in weka.core.pmml.jaxbbindings
  Java class for CONT-SCORING-METHOD.
ContStats - Class in weka.core.pmml.jaxbbindings
  Java class for ContStats element declaration.
ContStats() - Constructor for class weka.core.pmml.jaxbbindings.ContStats
ConverterFileChooser - Class in weka.gui
  A specialized JFileChooser that lists all available file Loaders and Savers.
ConverterFileChooser() - Constructor for class weka.gui.ConverterFileChooser
  onstructs a FileChooser pointing to the user's default directory.
ConverterFileChooser(File) - Constructor for class weka.gui.ConverterFileChooser
  Constructs a FileChooser using the given File as the path.
ConverterFileChooser(String) - Constructor for class weka.gui.ConverterFileChooser
  Constructs a FileChooser using the given path.
ConverterUtils - Class in weka.core.converters
  Utility routines for the converter package.
ConverterUtils() - Constructor for class weka.core.converters.ConverterUtils
ConverterUtils.DataSink - Class in weka.core.converters
  Helper class for saving data to files.
ConverterUtils.DataSink(String) - Constructor for class weka.core.converters.ConverterUtils.DataSink
  initializes the sink to save the data to the given file.
ConverterUtils.DataSink(Saver) - Constructor for class weka.core.converters.ConverterUtils.DataSink
  initializes the sink to save the data to the given Saver (expected to be fully configured).
ConverterUtils.DataSink(OutputStream) - Constructor for class weka.core.converters.ConverterUtils.DataSink
  initializes the sink to save the data in the stream (always in ARFF format).
ConverterUtils.DataSource - Class in weka.core.converters
  Helper class for loading data from files and URLs.
ConverterUtils.DataSource(String) - Constructor for class weka.core.converters.ConverterUtils.DataSource
  Tries to load the data from the file.
ConverterUtils.DataSource(Instances) - Constructor for class weka.core.converters.ConverterUtils.DataSource
  Initializes the datasource with the given dataset.
ConverterUtils.DataSource(Loader) - Constructor for class weka.core.converters.ConverterUtils.DataSource
  Initializes the datasource with the given Loader.
ConverterUtils.DataSource(InputStream) - Constructor for class weka.core.converters.ConverterUtils.DataSource
  Initializes the datasource with the given input stream.
convertInfixToPostfix(String) - Method in class weka.core.AttributeExpression
  Converts a string containing a mathematical expression in infix form to postfix form.
convertInstance(Instance) - Method in interface weka.attributeSelection.AttributeTransformer
  Transforms an instance in the format of the original data to the transformed space
convertInstance(Instance) - Method in class weka.attributeSelection.PrincipalComponents
  Transform an instance in original (unormalized) format.
convertNewLines(String) - Static method in class weka.core.Utils
  Converts carriage returns and new lines in a string into \r and \n.
convertNominalTipText() - Method in class weka.classifiers.trees.LMT
  Returns the tip text for this property
convertNumericAttToNominal(int, ArrayList<String>) - Method in class weka.core.pmml.MiningSchema
  Convert a numeric attribute in the mining schema to nominal.
convertStringAttsToNominal() - Method in class weka.core.pmml.MiningSchema
  Method to convert any string attributes in the mining schema Instances to nominal attributes.
convertToAttribX(double) - Method in class weka.gui.visualize.Plot2D
  convert a Panel x coordinate to a raw x value.
convertToAttribY(double) - Method in class weka.gui.visualize.Plot2D
  convert a Panel y coordinate to a raw y value.
convertToPanelX(double) - Method in class weka.gui.visualize.Plot2D
  Convert an raw x value to Panel x coordinate.
convertToPanelY(double) - Method in class weka.gui.visualize.Plot2D
  Convert an raw y value to Panel y coordinate.
convertToRelativePath(File) - Static method in class weka.core.Utils
  Converts a File's absolute path to a path relative to the user (ie start) directory.
convictionForRule(AprioriItemSet, AprioriItemSet, int, int) - Method in class weka.associations.AprioriItemSet
  Outputs the conviction for a rule.
copy(ParentSet) - Method in class weka.classifiers.bayes.net.ParentSet
  Copy makes current parents set equal to other parent set
copy() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Return a shallow copy of this kernel
copy() - Method in class weka.classifiers.rules.JRip.Antd
  Implements Copyable
copy() - Method in class weka.classifiers.rules.JRip.NominalAntd
  Implements Copyable
copy() - Method in class weka.classifiers.rules.JRip.NumericAntd
  Implements Copyable
copy() - Method in class weka.classifiers.rules.JRip.RipperRule
  Get a shallow copy of this rule
copy() - Method in class weka.classifiers.rules.Rule
  Get a shallow copy of this rule
copy() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
  Makes a copy of this CorrelationSplitInfo object
copy() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
  makes a copy of the SplitEvaluate object
copy() - Method in class weka.classifiers.trees.m5.YongSplitInfo
  Makes a copy of this SplitInfo object
copy() - Method in class weka.core.Attribute
  Produces a shallow copy of this attribute.
copy(String) - Method in class weka.core.Attribute
  Produces a shallow copy of this attribute with a new name.
copy() - Method in class weka.core.BinarySparseInstance
  Produces a shallow copy of this instance.
copy() - Method in interface weka.core.Copyable
  This method produces a shallow copy of an object.
copy() - Method in class weka.core.DenseInstance
  Produces a shallow copy of this instance.
copy() - Method in class weka.core.FastVector
  Deprecated.
  Produces a shallow copy of this vector.
copy() - Method in class weka.core.matrix.DoubleVector
  Makes a deep copy of the vector
copy() - Method in class weka.core.matrix.IntVector
  Makes a deep copy of the vector
copy() - Method in class weka.core.matrix.Matrix
  Make a deep copy of a matrix
copy() - Method in class weka.core.SparseInstance
  Produces a shallow copy of this instance.
Copy - Class in weka.filters.unsupervised.attribute
  An instance filter that copies a range of attributes in the dataset.
Copy() - Constructor for class weka.filters.unsupervised.attribute.Copy
copy(File, File) - Static method in class weka.gui.scripting.ScriptUtils
  Copies the file/directory (recursively).
Copyable - Interface in weka.core
  Interface implemented by classes that can produce "shallow" copies of their objects.
copyArea(int, int, int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
copyContent() - Method in class weka.gui.arffviewer.ArffPanel
  copies the content of the selection to the clipboard
copyContent() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  copies the content of the selection to the clipboard
copyElements() - Method in class weka.core.FastVector
  Deprecated.
  Clones the vector and shallow copies all its elements.
copyInto(Object[]) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Copies the components of this list into the specified array.
copyRelationalValues(Instance, Instances, AttributeLocator) - Static method in class weka.core.RelationalLocator
  Copies relational values contained in the instance copied to a new dataset.
copyRelationalValues(Instance, boolean, Instances, AttributeLocator, Instances, AttributeLocator) - Static method in class weka.core.RelationalLocator
  Takes relational values referenced by an Instance and copies them from a source dataset to a destination dataset.
Copyright - Class in weka.core
  A class for providing centralized Copyright information.
Copyright() - Constructor for class weka.core.Copyright
copyStringValues(Instance, Instances, AttributeLocator) - Static method in class weka.core.StringLocator
  Copies string values contained in the instance copied to a new dataset.
copyStringValues(Instance, boolean, Instances, AttributeLocator, Instances, AttributeLocator) - Static method in class weka.core.StringLocator
  Takes string values referenced by an Instance and copies them from a source dataset to a destination dataset.
copyToBuffer(Vector<Object>) - Method in class weka.gui.beans.KnowledgeFlowApp
  Utility routine that serializes the supplied Vector of BeanInstances to XML
copyToClipboard() - Method in class weka.gui.sql.InfoPanel
  copies the currently selected error message to the clipboard
CORE_FILE_LOADERS - Static variable in class weka.core.converters.ConverterUtils
  the core loaders - hardcoded list necessary for RMI/Remote Experiments (comma-separated list).
CORE_FILE_SAVERS - Static variable in class weka.core.converters.ConverterUtils
  the core savers - hardcoded list necessary for RMI/Remote Experiments (comma-separated list).
correct() - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Gets the number of correct classifications (that is, for which a correct prediction was made).
correct() - Method in class weka.classifiers.Evaluation
  Gets the number of instances correctly classified (that is, for which a correct prediction was made).
correct() - Method in class weka.classifiers.evaluation.Evaluation
  Gets the number of instances correctly classified (that is, for which a correct prediction was made).
correlation(double[], double[], int) - Static method in class weka.core.Utils
  Returns the correlation coefficient of two double vectors.
correlation - Variable in class weka.experiment.PairedStats
  The correlation coefficient
CorrelationAttributeEval - Class in weka.attributeSelection
  CorrelationAttributeEval :
  Evaluates the worth of an attribute by measuring the correlation (Pearson's) between it and the class.
  Nominal attributes are considered on a value by value basis by treating each value as an indicator.
CorrelationAttributeEval() - Constructor for class weka.attributeSelection.CorrelationAttributeEval
correlationCoefficient() - Method in class weka.classifiers.Evaluation
  Returns the correlation coefficient if the class is numeric.
correlationCoefficient() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the correlation coefficient if the class is numeric.
CorrelationFields - Class in weka.core.pmml.jaxbbindings
  Java class for CorrelationFields element declaration.
CorrelationFields() - Constructor for class weka.core.pmml.jaxbbindings.CorrelationFields
CorrelationMethods - Class in weka.core.pmml.jaxbbindings
  Java class for CorrelationMethods element declaration.
CorrelationMethods() - Constructor for class weka.core.pmml.jaxbbindings.CorrelationMethods
Correlations - Class in weka.core.pmml.jaxbbindings
  Java class for Correlations element declaration.
Correlations() - Constructor for class weka.core.pmml.jaxbbindings.Correlations
CorrelationSplitInfo - Class in weka.classifiers.trees.m5
  Finds split points using correlation.
CorrelationSplitInfo(int, int, int) - Constructor for class weka.classifiers.trees.m5.CorrelationSplitInfo
  Constructs an object which contains the split information
CorrelationValues - Class in weka.core.pmml.jaxbbindings
  Java class for CorrelationValues element declaration.
CorrelationValues() - Constructor for class weka.core.pmml.jaxbbindings.CorrelationValues
COS - Static variable in interface weka.core.mathematicalexpression.sym
COS - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
CostBenefitAnalysis - Class in weka.gui.beans
  Bean that aids in analyzing cost/benefit tradeoffs.
CostBenefitAnalysis() - Constructor for class weka.gui.beans.CostBenefitAnalysis
  Constructor.
CostBenefitAnalysisBeanInfo - Class in weka.gui.beans
  Bean info class for the cost/benefit analysis
CostBenefitAnalysisBeanInfo() - Constructor for class weka.gui.beans.CostBenefitAnalysisBeanInfo
CostCurve - Class in weka.classifiers.evaluation
  Generates points illustrating probablity cost tradeoffs that can be obtained by varying the threshold value between classes.
CostCurve() - Constructor for class weka.classifiers.evaluation.CostCurve
CostMatrix - Class in weka.classifiers
  Class for storing and manipulating a misclassification cost matrix.
CostMatrix(int) - Constructor for class weka.classifiers.CostMatrix
  Creates a default cost matrix of a particular size.
CostMatrix(CostMatrix) - Constructor for class weka.classifiers.CostMatrix
  Creates a cost matrix that is a copy of another.
CostMatrix(Reader) - Constructor for class weka.classifiers.CostMatrix
  Reads a matrix from a reader.
CostMatrixEditor - Class in weka.gui
  Class for editing CostMatrix objects.
CostMatrixEditor() - Constructor for class weka.gui.CostMatrixEditor
  Constructs a new CostMatrixEditor.
costMatrixSourceTipText() - Method in class weka.classifiers.meta.CostSensitiveClassifier
costMatrixTipText() - Method in class weka.classifiers.meta.CostSensitiveClassifier
CostSensitiveClassifier - Class in weka.classifiers.meta
  A metaclassifier that makes its base classifier cost-sensitive.
CostSensitiveClassifier() - Constructor for class weka.classifiers.meta.CostSensitiveClassifier
  Default constructor.
CostSensitiveClassifierSplitEvaluator - Class in weka.experiment
  SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weighted misclassification costs.
CostSensitiveClassifierSplitEvaluator() - Constructor for class weka.experiment.CostSensitiveClassifierSplitEvaluator
count - Variable in class weka.experiment.PairedStats
  The number of data points seen
count - Variable in class weka.experiment.Stats
  The number of values seen
countData() - Method in class weka.classifiers.rules.RuleStats
  Filter the data according to the ruleset and compute the basic stats: coverage/uncoverage, true/false positive/negatives of each rule
countData(int, Instances, double[][]) - Method in class weka.classifiers.rules.RuleStats
  Count data from the position index in the ruleset assuming that given data are not covered by the rules in position 0...(index-1), and the statistics of these rules are provided.
  This procedure is typically useful when a temporary object of RuleStats is constructed in order to efficiently calculate the relative DL of rule in position index, thus all other stuff is not needed.
counter() - Method in class weka.associations.ItemSet
  Gets the counter
Counts - Class in weka.core.pmml.jaxbbindings
  Java class for Counts element declaration.
Counts() - Constructor for class weka.core.pmml.jaxbbindings.Counts
countsForInstance(Instance) - Method in class weka.classifiers.bayes.BayesNet
  Calculates the counts for Dirichlet distribution for the class membership probabilities for the given test instance.
COUNTTABLETYPE - Class in weka.core.pmml.jaxbbindings
  Java class for COUNT-TABLE-TYPE complex type.
COUNTTABLETYPE() - Constructor for class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
countWidthTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
covariance(double[][], double[]) - Static method in class weka.estimators.MultivariateGaussianEstimator
  Calculates the covariance matrix of a sample matrix.
Covariances - Class in weka.core.pmml.jaxbbindings
  Java class for Covariances element declaration.
Covariances() - Constructor for class weka.core.pmml.jaxbbindings.Covariances
CovariateList - Class in weka.core.pmml.jaxbbindings
  Java class for CovariateList element declaration.
CovariateList() - Constructor for class weka.core.pmml.jaxbbindings.CovariateList
coverageOfTestCasesByPredictedRegions() - Method in class weka.classifiers.Evaluation
  Gets the coverage of the test cases by the predicted regions at the confidence level specified when evaluation was performed.
coverageOfTestCasesByPredictedRegions() - Method in class weka.classifiers.evaluation.Evaluation
  Gets the coverage of the test cases by the predicted regions at the confidence level specified when evaluation was performed.
covers(Instance) - Method in class weka.classifiers.rules.JRip.Antd
covers(Instance) - Method in class weka.classifiers.rules.JRip.NominalAntd
  Whether the instance is covered by this antecedent
covers(Instance) - Method in class weka.classifiers.rules.JRip.NumericAntd
  Whether the instance is covered by this antecedent
covers(Instance) - Method in class weka.classifiers.rules.JRip.RipperRule
  Whether the instance covered by this rule
covers(Instance) - Method in class weka.classifiers.rules.Rule
  Whether the instance covered by this rule
CoverTree - Class in weka.core.neighboursearch
  Class implementing the CoverTree datastructure.
  The class is very much a translation of the c source code made available by the authors.
  For more information and original source code see:
  Alina Beygelzimer, Sham Kakade, John Langford: Cover trees for nearest neighbor.
CoverTree() - Constructor for class weka.core.neighboursearch.CoverTree
  default constructor.
CoverTree.CoverTreeNode - Class in weka.core.neighboursearch
  class representing a node of the cover tree.
CoverTree.CoverTreeNode() - Constructor for class weka.core.neighboursearch.CoverTree.CoverTreeNode
  Constructor for the class.
CoverTree.CoverTreeNode(Integer, double, double, Stack<CoverTree.CoverTreeNode>, int, int) - Constructor for class weka.core.neighboursearch.CoverTree.CoverTreeNode
  Constructor.
CramersV(double[][]) - Static method in class weka.core.ContingencyTables
  Computes Cramer's V for a contingency table.
create(List<Object>, List<Integer>) - Static method in class weka.core.pmml.Array
create(Element) - Static method in class weka.core.pmml.Array
  Static factory method for creating non-sparse or sparse array types as needed.
create(Reader) - Method in class weka.gui.treevisualizer.TreeBuild
  This will build A node structure from the dotty format passed.
create() - Method in class weka.gui.visualize.PostscriptGraphics
  Clone a PostscriptGraphics object
createAggregate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Aggregate`
createAlternate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Alternate`
createAnnotation() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Annotation`
createAnova() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Anova`
createAnovaRow() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `AnovaRow`
createAntecedentSequence() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `AntecedentSequence`
createAnyDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `AnyDistribution`
createApplication() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Application`
createApply() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Apply`
createARIMA(Object) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `JAXBElement``<``Object``>`}
createArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `JAXBElement``<``ArrayType``>`}
createArrayType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ArrayType`
createAssociationModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `AssociationModel`
createAssociationRule() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `AssociationRule`
createAttribute() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Attribute`
createBaseCumHazardTables() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `BaseCumHazardTables`
createBaseline() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Baseline`
createBaselineCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `BaselineCell`
createBaselineModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `BaselineModel`
createBaselineStratum() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `BaselineStratum`
createBayesInput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `BayesInput`
createBayesInputs() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `BayesInputs`
createBayesOutput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `BayesOutput`
createBinarySimilarity() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `BinarySimilarity`
createBoundaryValueMeans() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `BoundaryValueMeans`
createBoundaryValues() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `BoundaryValues`
createCategoricalPredictor() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `CategoricalPredictor`
createCategories() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Categories`
createCategory() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Category`
createCharacteristic() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Characteristic`
createCharacteristics() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Characteristics`
createChebychev() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Chebychev`
createChildParent() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ChildParent`
createCityBlock() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `CityBlock`
createClassLabels() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ClassLabels`
createCluster() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Cluster`
createClusteringField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ClusteringField`
createClusteringModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ClusteringModel`
createClusteringModelQuality() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ClusteringModelQuality`
createCoefficient() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Coefficient`
createCoefficients() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Coefficients`
createComparisonMeasure() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ComparisonMeasure`
createComparisons() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Comparisons`
createCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `CompoundPredicate`
createCompoundRule() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `CompoundRule`
createCon() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Con1`
createConfusionMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ConfusionMatrix`
createConsequentSequence() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ConsequentSequence`
createConstant() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Constant`
createConstraints() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Constraints`
createContStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ContStats`
createCorrelationFields() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `CorrelationFields`
createCorrelationMethods() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `CorrelationMethods`
createCorrelations() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Correlations`
createCorrelationValues() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `CorrelationValues`
createCounts() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Counts`
createCountTable(COUNTTABLETYPE) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `JAXBElement``<``COUNTTABLETYPE``>`}
createCOUNTTABLETYPE() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `COUNTTABLETYPE`
createCovariances() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Covariances`
createCovariateList() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `CovariateList`
createDataDictionary() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `DataDictionary`
createDataField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `DataField`
createDecision() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Decision`
createDecisions() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Decisions`
createDecisionTree() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `DecisionTree`
createDefineFunction() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `DefineFunction`
createDelimiter() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Delimiter`
createDerivedField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `DerivedField`
createDiscretize() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Discretize`
createDiscretizeBin() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `DiscretizeBin`
createDiscrStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `DiscrStats`
createDocumentTermMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `DocumentTermMatrix`
createEuclidean() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Euclidean`
createEventValues() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `EventValues`
createExperimentIndex() - Method in class weka.experiment.DatabaseUtils
  Attempts to create the experiment index table.
createExperimentIndexEntry(ResultProducer) - Method in class weka.experiment.DatabaseUtils
  Attempts to insert a results entry for the table into the experiment index.
createExponentialSmoothing() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ExponentialSmoothing`
createExtension() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Extension`
createFactorList() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `FactorList`
createFalse() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `False`
createFieldColumnPair() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `FieldColumnPair`
createFieldRef() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `FieldRef`
createFieldValue() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `FieldValue`
createFieldValueCount() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `FieldValueCount`
createGaussianDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `GaussianDistribution`
createGeneralRegressionModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `GeneralRegressionModel`
createHeader() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Header`
createIndices(List<Integer>) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `JAXBElement``<``List``<``Integer``>``>`}
createInlineTable() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `InlineTable`
createInstanceField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `InstanceField`
createInstanceFields() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `InstanceFields`
createINTEntries(List<Integer>) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `JAXBElement``<``List``<``Integer``>``>`}
createInterval() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Interval`
createINTSparseArray() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `INTSparseArray`
createItem() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Item`
createItemRef() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ItemRef`
createItemset() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Itemset`
createJaccard() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Jaccard`
createKNNInput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `KNNInput`
createKNNInputs() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `KNNInputs`
createKohonenMap() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `KohonenMap`
createLevel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Level`
createLiftData() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `LiftData`
createLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `LiftGraph`
createLinearKernelType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `LinearKernelType`
createLinearNorm() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `LinearNorm`
createLink(String, String) - Static method in class weka.gui.BrowserHelper
  Generates a label with a clickable link.
createLocalTransformations() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `LocalTransformations`
createMapValues() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `MapValues`
createMatCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `MatCell`
createMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Matrix`
createMiningBuildTask() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `MiningBuildTask`
createMiningField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `MiningField`
createMiningModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `MiningModel`
createMiningSchema() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `MiningSchema`
createMinkowski() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Minkowski`
createMissingValueWeights() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `MissingValueWeights`
createModelExplanation() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ModelExplanation`
createModelLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ModelLiftGraph`
createModelStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ModelStats`
createModelVerification() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ModelVerification`
createMultivariateStat() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `MultivariateStat`
createMultivariateStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `MultivariateStats`
createNaiveBayesModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `NaiveBayesModel`
createNearestNeighborModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `NearestNeighborModel`
createNeuralInput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `NeuralInput`
createNeuralInputs() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `NeuralInputs`
createNeuralLayer() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `NeuralLayer`
createNeuralNetwork() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `NeuralNetwork`
createNeuralOutput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `NeuralOutput`
createNeuralOutputs() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `NeuralOutputs`
createNeuron() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Neuron`
createNewVisualizerWindow(Classifier, Instances) - Static method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Creates a new GUI window with all of the BoundaryVisualizer trappings,
createNode() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Node`
createNormalizedCountTable(COUNTTABLETYPE) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `JAXBElement``<``COUNTTABLETYPE``>`}
createNormContinuous() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `NormContinuous`
createNormDiscrete() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `NormDiscrete`
createNumericInfo() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `NumericInfo`
createNumericPredictor() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `NumericPredictor`
createOptimumLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `OptimumLiftGraph`
createOutput() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Output`
createOutputField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `OutputField`
createPairCounts() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `PairCounts`
createParameter() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Parameter`
createParameterField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ParameterField`
createParameterList() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ParameterList`
createParamMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ParamMatrix`
createPartition() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Partition`
createPartitionFieldStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `PartitionFieldStats`
createPCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `PCell`
createPCovCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `PCovCell`
createPCovMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `PCovMatrix`
createPMML() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `PMML`
createPoissonDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `PoissonDistribution`
createPolynomialKernelType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `PolynomialKernelType`
createPPCell() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `PPCell`
createPPMatrix() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `PPMatrix`
createPredictiveModelQuality() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `PredictiveModelQuality`
createPredictor() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Predictor`
createPredictorTerm() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `PredictorTerm`
createQuantile() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Quantile`
createRadialBasisKernelType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `RadialBasisKernelType`
createRandomLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `RandomLiftGraph`
createREALEntries(List<Double>) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `JAXBElement``<``List``<``Double``>``>`}
createREALSparseArray() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `REALSparseArray`
createRegression() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Regression`
createRegressionModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `RegressionModel`
createRegressionTable() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `RegressionTable`
createResultField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ResultField`
createResultsTable(ResultProducer, String) - Method in class weka.experiment.DatabaseUtils
  Creates a results table for the supplied result producer.
createROC() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ROC`
createROCGraph() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ROCGraph`
createRow() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Row`
createRuleSelectionMethod() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `RuleSelectionMethod`
createRuleSet() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `RuleSet`
createRuleSetModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `RuleSetModel`
createScorecard() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Scorecard`
createScoreDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `ScoreDistribution`
createSeasonalityExpoSmooth() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SeasonalityExpoSmooth`
createSeasonalTrendDecomposition(Object) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `JAXBElement``<``Object``>`}
createSegment() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Segment`
createSegmentation() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Segmentation`
createSequence() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Sequence`
createSequenceModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SequenceModel`
createSequenceReference() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SequenceReference`
createSequenceRule() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SequenceRule`
createSetPredicate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SetPredicate`
createSetReference() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SetReference`
createSigmoidKernelType() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SigmoidKernelType`
createSimpleMatching() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SimpleMatching`
createSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SimplePredicate`
createSimpleRule() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SimpleRule`
createSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SimpleSetPredicate`
createSingleton(String[]) - Static method in class weka.gui.beans.KnowledgeFlowApp
  Create the singleton instance of the KnowledgeFlow
createSingleton() - Static method in class weka.gui.GUIChooser
  Create a singleton instance of the GUIChooser
createSingleton(String[]) - Static method in class weka.gui.Main
  Create the singleton instance of the Main GUI.
createSpectralAnalysis(Object) - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `JAXBElement``<``Object``>`}
createSquaredEuclidean() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SquaredEuclidean`
createStore(String) - Method in interface weka.gui.beans.KFMetaStore
  Create a named store
createStore(String) - Method in class weka.gui.beans.XMLFileBasedKFMetaStore
createSupportVector() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SupportVector`
createSupportVectorMachine() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SupportVectorMachine`
createSupportVectorMachineModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SupportVectorMachineModel`
createSupportVectors() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `SupportVectors`
createTableLocator() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TableLocator`
createTanimoto() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Tanimoto`
createTarget() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Target`
createTargets() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Targets`
createTargetValue() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TargetValue`
createTargetValueCount() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TargetValueCount`
createTargetValueCounts() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TargetValueCounts`
createTaxonomy() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Taxonomy`
createTestDistributions() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TestDistributions`
createTextCorpus() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TextCorpus`
createTextDictionary() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TextDictionary`
createTextDocument() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TextDocument`
createTextModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TextModel`
createTextModelNormalization() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TextModelNormalization`
createTextModelSimiliarity() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TextModelSimiliarity`
createTime() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Time`
createTimeAnchor() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TimeAnchor`
createTimeCycle() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TimeCycle`
createTimeException() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TimeException`
createTimeSeries() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TimeSeries`
createTimeSeriesModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TimeSeriesModel`
createTimestamp() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Timestamp`
createTimeValue() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TimeValue`
createTrainingInstances() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TrainingInstances`
createTransformationDictionary() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TransformationDictionary`
createTreeModel() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TreeModel`
createTrendExpoSmooth() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `TrendExpoSmooth`
createTrue() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `True`
createUniformDistribution() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `UniformDistribution`
createUnivariateStats() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `UnivariateStats`
createValue() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `Value`
createVectorDictionary() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `VectorDictionary`
createVectorFields() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `VectorFields`
createVectorInstance() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `VectorInstance`
createVerificationField() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `VerificationField`
createVerificationFields() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `VerificationFields`
createXCoordinates() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `XCoordinates`
createYCoordinates() - Method in class weka.core.pmml.jaxbbindings.ObjectFactory
  Create an instance of `YCoordinates`
crossValidate(NaiveBayesUpdateable, Instances, Random) - Static method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Utility method for fast 5-fold cross validation of a naive bayes model
CrossValidateAttributes() - Method in class weka.attributeSelection.AttributeSelection
  Perform a cross validation for attribute selection.
crossValidateModel(Classifier, Instances, int, Random, Object...) - Method in class weka.classifiers.Evaluation
  Performs a (stratified if class is nominal) cross-validation for a classifier on a set of instances.
crossValidateModel(String, Instances, int, String[], Random) - Method in class weka.classifiers.Evaluation
  Performs a (stratified if class is nominal) cross-validation for a classifier on a set of instances.
crossValidateModel(Classifier, Instances, int, Random, Object...) - Method in class weka.classifiers.evaluation.Evaluation
  Performs a (stratified if class is nominal) cross-validation for a classifier on a set of instances.
crossValidateModel(String, Instances, int, String[], Random) - Method in class weka.classifiers.evaluation.Evaluation
  Performs a (stratified if class is nominal) cross-validation for a classifier on a set of instances.
crossValidateModel(DensityBasedClusterer, Instances, int, Random) - Static method in class weka.clusterers.ClusterEvaluation
  Perform a cross-validation for DensityBasedClusterer on a set of instances.
crossValidateModel(String, Instances, int, String[], Random) - Static method in class weka.clusterers.ClusterEvaluation
  Performs a cross-validation for a DensityBasedClusterer clusterer on a set of instances.
crossValidateTipText() - Method in class weka.classifiers.lazy.IBk
  Returns the tip text for this property.
CrossValidationFoldMaker - Class in weka.gui.beans
  Bean for splitting instances into training ant test sets according to a cross validation
CrossValidationFoldMaker() - Constructor for class weka.gui.beans.CrossValidationFoldMaker
CrossValidationFoldMakerBeanInfo - Class in weka.gui.beans
  BeanInfo class for the cross validation fold maker bean
CrossValidationFoldMakerBeanInfo() - Constructor for class weka.gui.beans.CrossValidationFoldMakerBeanInfo
CrossValidationFoldMakerCustomizer - Class in weka.gui.beans
  GUI Customizer for the cross validation fold maker bean
CrossValidationFoldMakerCustomizer() - Constructor for class weka.gui.beans.CrossValidationFoldMakerCustomizer
CrossValidationResultProducer - Class in weka.experiment
  Generates for each run, carries out an n-fold cross-validation, using the set SplitEvaluator to generate some results.
CrossValidationResultProducer() - Constructor for class weka.experiment.CrossValidationResultProducer
CrossValidationSplitResultProducer - Class in weka.experiment
  Carries out one split of a repeated k-fold cross-validation, using the set SplitEvaluator to generate some results.
CrossValidationSplitResultProducer() - Constructor for class weka.experiment.CrossValidationSplitResultProducer
crossValTipText() - Method in class weka.classifiers.rules.DecisionTable
  Returns the tip text for this property
CSV - Class in weka.classifiers.evaluation.output.prediction
  Outputs the predictions as CSV.
CSV() - Constructor for class weka.classifiers.evaluation.output.prediction.CSV
CSVLoader - Class in weka.core.converters
  Reads a source that is in comma separated format (the default).
CSVLoader() - Constructor for class weka.core.converters.CSVLoader
  default constructor.
CSVResultListener - Class in weka.experiment
  Takes results from a result producer and assembles them into comma separated value form.
CSVResultListener() - Constructor for class weka.experiment.CSVResultListener
  Sets temporary file.
CSVSaver - Class in weka.core.converters
  Writes to a destination that is in CSV (comma-separated values) format.
CSVSaver() - Constructor for class weka.core.converters.CSVSaver
  Constructor.
cTipText() - Method in class weka.classifiers.functions.SMO
  Returns the tip text for this property
cTipText() - Method in class weka.classifiers.functions.SMOreg
  Returns the tip text for this property
cumulate() - Method in class weka.core.matrix.DoubleVector
  Returns a vector that stores the cumulated values of the original vector
cumulateInPlace() - Method in class weka.core.matrix.DoubleVector
  Cumulates the original vector in place
cumulativeCV(BayesNet) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  CumulativeCV returns the accuracy calculated using cumulative cross validation.
CUMULATIVELINKFUNCTION - Enum in weka.core.pmml.jaxbbindings
  Java class for CUMULATIVE-LINK-FUNCTION.
CustomDisplayStringProvider - Interface in weka.core
  For classes that do not implement the OptionHandler interface and want to provide a custom display string in the GenericObjectEditor, which is more descriptive than the class name.
customizePopupMenu(JPopupMenu, Object, GenericObjectEditorHistory.HistorySelectionListener) - Method in class weka.gui.GenericObjectEditorHistory
  Adds a menu item with the history to the popup menu.
CustomizerCloseRequester - Interface in weka.gui.beans
  Customizers who want to be able to close the customizer window themselves can implement this window.
customizerClosing() - Method in class weka.gui.beans.AttributeSummarizerCustomizer
  Gets called if the use closes the dialog via the close widget on the window - is treated as cancel, so restores the ImageSaver to its previous state.
customizerClosing() - Method in class weka.gui.beans.ClassAssignerCustomizer
customizerClosing() - Method in class weka.gui.beans.ClassifierCustomizer
customizerClosing() - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
customizerClosing() - Method in class weka.gui.beans.ClassValuePickerCustomizer
customizerClosing() - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
customizerClosing() - Method in interface weka.gui.beans.CustomizerClosingListener
  Customizer classes that want to know when they are being disposed of can implement this method.
customizerClosing() - Method in class weka.gui.beans.DataVisualizerCustomizer
  Gets called if the use closes the dialog via the close widget on the window - is treated as cancel, so restores the ImageSaver to its previous state.
customizerClosing() - Method in class weka.gui.beans.ImageSaverCustomizer
  Gets called if the use closes the dialog via the close widget on the window - is treated as cancel, so restores the ImageSaver to its previous state.
customizerClosing() - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
customizerClosing() - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
  Gets called if the use closes the dialog via the close widget on the window - is treated as cancel, so restores the ImageSaver to its previous state.
customizerClosing() - Method in class weka.gui.beans.NoteCustomizer
customizerClosing() - Method in class weka.gui.beans.PredictionAppenderCustomizer
customizerClosing() - Method in class weka.gui.beans.SerializedModelSaverCustomizer
customizerClosing() - Method in class weka.gui.beans.TextSaverCustomizer
  Gets called if the use closes the dialog via the close widget on the window - is treated as cancel, so restores the TextSaver to its previous state.
CustomizerClosingListener - Interface in weka.gui.beans
CustomPanelSupplier - Interface in weka.gui
  An interface for objects that are capable of supplying their own custom GUI components.
customPropsFileTipText() - Method in class weka.core.converters.DatabaseLoader
  The tip text for this property.
customPropsFileTipText() - Method in class weka.core.converters.DatabaseSaver
  The tip text for this property.
customPropsFileTipText() - Method in class weka.experiment.InstanceQuery
  The tip text for this property.
cutoffTipText() - Method in class weka.clusterers.Cobweb
  Returns the tip text for this property
cutpointsToString(double[], boolean[]) - Static method in class weka.estimators.EstimatorUtils
  Returns a string representing the cutpoints
CVParameterSelection - Class in weka.classifiers.meta
  Class for performing parameter selection by cross-validation for any classifier.
  For more information, see:
  R.
CVParameterSelection() - Constructor for class weka.classifiers.meta.CVParameterSelection
CVParametersTipText() - Method in class weka.classifiers.meta.CVParameterSelection
  Returns the tip text for this property
CVResultsString() - Method in class weka.attributeSelection.AttributeSelection
  returns a string summarizing the results of repeated attribute selection runs on splits of a dataset.
CVTypeTipText() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm

## D

DATA - Static variable in class weka.core.json.JSONInstances
  the data section.
DatabaseConnection - Class in weka.core.converters
  Connects to a database.
DatabaseConnection() - Constructor for class weka.core.converters.DatabaseConnection
  Sets up the database drivers.
DatabaseConnection(File) - Constructor for class weka.core.converters.DatabaseConnection
  Reads the properties from the specified file and sets up the database drivers.
DatabaseConnection(Properties) - Constructor for class weka.core.converters.DatabaseConnection
  Uses the specified properties to set up the database drivers.
DatabaseConnectionDialog - Class in weka.gui
  A dialog to enter URL, username and password for a database connection.
DatabaseConnectionDialog(Frame) - Constructor for class weka.gui.DatabaseConnectionDialog
  Create database connection dialog.
DatabaseConnectionDialog(Frame, String, String) - Constructor for class weka.gui.DatabaseConnectionDialog
  Create database connection dialog.
DatabaseConnectionDialog(Frame, String, String, boolean) - Constructor for class weka.gui.DatabaseConnectionDialog
  Create database connection dialog.
DatabaseConverter - Interface in weka.core.converters
  Marker interface for a loader/saver that uses a database
DatabaseLoader - Class in weka.core.converters
  Reads Instances from a Database.
DatabaseLoader() - Constructor for class weka.core.converters.DatabaseLoader
  Constructor
DatabaseResultListener - Class in weka.experiment
  Takes results from a result producer and sends them to a database.
DatabaseResultListener() - Constructor for class weka.experiment.DatabaseResultListener
  Sets up the database drivers
DatabaseResultProducer - Class in weka.experiment
  Examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specified ResultListener.
DatabaseResultProducer() - Constructor for class weka.experiment.DatabaseResultProducer
  Creates the DatabaseResultProducer, letting the parent constructor do it's thing.
DatabaseSaver - Class in weka.core.converters
  Writes to a database (tested with MySQL, InstantDB, HSQLDB).
DatabaseSaver() - Constructor for class weka.core.converters.DatabaseSaver
  Constructor.
databaseURLTipText() - Method in class weka.experiment.DatabaseUtils
  Returns the tip text for this property.
DatabaseUtils - Class in weka.experiment
  DatabaseUtils provides utility functions for accessing the experiment database.
DatabaseUtils() - Constructor for class weka.experiment.DatabaseUtils
  Reads properties and sets up the database drivers.
DatabaseUtils(File) - Constructor for class weka.experiment.DatabaseUtils
  Reads the properties from the specified file and sets up the database drivers.
DatabaseUtils(Properties) - Constructor for class weka.experiment.DatabaseUtils
  Uses the specified properties to set up the database drivers.
DataDictionary - Class in weka.core.pmml.jaxbbindings
  Java class for DataDictionary element declaration.
DataDictionary() - Constructor for class weka.core.pmml.jaxbbindings.DataDictionary
dataDL(double, double, double, double, double) - Static method in class weka.classifiers.rules.RuleStats
  The description length of data given the parameters of the data based on the ruleset.
DataField - Class in weka.core.pmml.jaxbbindings
  Java class for DataField element declaration.
DataField() - Constructor for class weka.core.pmml.jaxbbindings.DataField
DataField(String, OPTYPE) - Constructor for class weka.core.pmml.jaxbbindings.DataField
DataFormatListener - Interface in weka.gui.beans
  Listener interface that customizer classes that are interested in data format changes can implement.
DataGenerator - Class in weka.datagenerators
  Abstract superclass for data generators that generate data for classifiers and clusterers.
DataGenerator() - Constructor for class weka.datagenerators.DataGenerator
  initializes with default settings.
DataGenerator - Interface in weka.gui.boundaryvisualizer
  Interface to something that can generate new instances based on a set of input instances
DataGeneratorPanel - Class in weka.gui.explorer
  A panel for generating artificial data via DataGenerators.
DataGeneratorPanel() - Constructor for class weka.gui.explorer.DataGeneratorPanel
  creates the panel
dataset() - Method in class weka.core.AbstractInstance
  Returns the dataset this instance has access to.
dataset() - Method in interface weka.core.Instance
  Returns the dataset this instance has access to.
DATASET_FIELD_NAME - Static variable in class weka.experiment.CrossValidationResultProducer
  The name of the key field containing the dataset name
DATASET_FIELD_NAME - Static variable in class weka.experiment.ExplicitTestsetResultProducer
  The name of the key field containing the dataset name.
DATASET_FIELD_NAME - Static variable in class weka.experiment.RandomSplitResultProducer
  The name of the key field containing the dataset name
DataSetEvent - Class in weka.gui.beans
  Event encapsulating a data set
DataSetEvent(Object, Instances) - Constructor for class weka.gui.beans.DataSetEvent
DatasetListPanel - Class in weka.gui.experiment
  This panel controls setting a list of datasets for an experiment to iterate over.
DatasetListPanel(Experiment) - Constructor for class weka.gui.experiment.DatasetListPanel
  Creates the dataset list panel with the given experiment.
DatasetListPanel() - Constructor for class weka.gui.experiment.DatasetListPanel
  Create the dataset list panel initially disabled.
DataSink - Interface in weka.gui.beans
  Indicator interface to something that can store instances to some destination
DataSource - Interface in weka.gui.beans
  Interface to something that is capable of being a source for data - either batch or incremental data
DataSourceListener - Interface in weka.gui.beans
  Interface to something that can accept DataSetEvents
DATATYPE - Enum in weka.core.pmml.jaxbbindings
  Java class for DATATYPE.
DATATYPE_LAYOUT - Static variable in class weka.gui.beans.xml.XMLBeans
  the data that is about to be read/written contains a complete layout
DATATYPE_USERCOMPONENTS - Static variable in class weka.gui.beans.xml.XMLBeans
  the data that is about to be read/written contains user-components, i.e., Metabeans
DataVisualizer - Class in weka.gui.beans
  Bean that encapsulates weka.gui.visualize.VisualizePanel
DataVisualizer() - Constructor for class weka.gui.beans.DataVisualizer
DataVisualizerBeanInfo - Class in weka.gui.beans
  Bean info class for the data visualizer
DataVisualizerBeanInfo() - Constructor for class weka.gui.beans.DataVisualizerBeanInfo
DataVisualizerCustomizer - Class in weka.gui.beans
  GUI customizer for data visualizer.
DataVisualizerCustomizer() - Constructor for class weka.gui.beans.DataVisualizerCustomizer
  Constructor
DATE - Static variable in class weka.core.Attribute
  Constant set for attributes with date values.
DATE - Static variable in class weka.experiment.DatabaseUtils
  Type mapping for DATE used for reading experiment results.
DateAttributeInfo - Class in weka.core
  Stores information for date attributes.
DateAttributeInfo(String) - Constructor for class weka.core.DateAttributeInfo
  Constructs info based on argument.
dateAttributesTipText() - Method in class weka.core.converters.CSVLoader
  Returns the tip text for this property.
DATEFORMAT - Static variable in class weka.core.json.JSONInstances
  the dateformat attribute.
dateFormatTipText() - Method in class weka.core.converters.CSVLoader
  Returns the tip text for this property.
dateFormatTipText() - Method in class weka.filters.unsupervised.attribute.Add
  Returns the tip text for this property.
dateFormatTipText() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
dateFormatTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Tip text for this property suitable for displaying in the GUI.
dateReplacementValueTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Tip text for this property suitable for displaying in the GUI.
DbConnectionDialog(String, String) - Method in class weka.gui.DatabaseConnectionDialog
  Display the database connection dialog
DbConnectionDialog(String, String, boolean) - Method in class weka.gui.DatabaseConnectionDialog
  Display the database connection dialog
DbUtils - Class in weka.gui.sql
  A little bit extended DatabaseUtils class.
DbUtils() - Constructor for class weka.gui.sql.DbUtils
  initializes the object.
dchisq(double) - Static method in class weka.core.matrix.Maths
  Returns the density of the Chi-squared distribution.
dchisq(double, double) - Static method in class weka.core.matrix.Maths
  Returns the density of the noncentral Chi-squared distribution.
dchisq(double, DoubleVector) - Static method in class weka.core.matrix.Maths
  Returns the density of the noncentral Chi-squared distribution.
dchisqLog(double) - Static method in class weka.core.matrix.Maths
  Returns the log-density of the noncentral Chi-square distribution.
dchisqLog(double, double) - Static method in class weka.core.matrix.Maths
  Returns the log-density value of a noncentral Chi-square distribution.
dchisqLog(double, DoubleVector) - Static method in class weka.core.matrix.Maths
  Returns the log-density of a set of noncentral Chi-squared distributions.
DDConditionalEstimator - Class in weka.estimators
  Conditional probability estimator for a discrete domain conditional upon a discrete domain.
DDConditionalEstimator(int, int, boolean) - Constructor for class weka.estimators.DDConditionalEstimator
  Constructor
Debug - Class in weka.core
  A helper class for debug output, logging, clocking, etc.
Debug() - Constructor for class weka.core.Debug
  default constructor, prints only to stdout
Debug(String) - Constructor for class weka.core.Debug
  logs the output to the specified file (and stdout).
Debug(String, int, int) - Constructor for class weka.core.Debug
  logs the output
DEBUG - Static variable in class weka.gui.LogWindow
  whether we're debugging - enables output on stdout
Debug.Clock - Class in weka.core
  A little helper class for clocking and outputting times.
Debug.Clock() - Constructor for class weka.core.Debug.Clock
  automatically starts the clock with FORMAT_SECONDS format and CPU time if available
Debug.Clock(int) - Constructor for class weka.core.Debug.Clock
  automatically starts the clock with the given output format and CPU time if available
Debug.Clock(boolean) - Constructor for class weka.core.Debug.Clock
  starts the clock depending on `start` immediately with the FORMAT_SECONDS output format and CPU time if available
Debug.Clock(boolean, int) - Constructor for class weka.core.Debug.Clock
  starts the clock depending on `start` immediately, using CPU time if available
Debug.DBO - Class in weka.core
  contains debug methods
Debug.DBO() - Constructor for class weka.core.Debug.DBO
Debug.Log - Class in weka.core
  A helper class for logging stuff.
Debug.Log() - Constructor for class weka.core.Debug.Log
  default constructor, uses only stdout
Debug.Log(String) - Constructor for class weka.core.Debug.Log
  creates a logger that logs into the specified file, if null then only stdout is used.
Debug.Log(String, int, int) - Constructor for class weka.core.Debug.Log
  creates a logger that logs into the specified file, if null then only stdout is used.
Debug.Random - Class in weka.core
  This extended Random class enables one to print the generated random numbers etc., before they are returned.
Debug.Random() - Constructor for class weka.core.Debug.Random
  Creates a new random number generator.
Debug.Random(long) - Constructor for class weka.core.Debug.Random
  Creates a new random number generator using a single long seed.
Debug.Random(boolean) - Constructor for class weka.core.Debug.Random
  Creates a new random number generator.
Debug.Random(long, boolean) - Constructor for class weka.core.Debug.Random
  Creates a new random number generator using a single long seed.
Debug.SimpleLog - Class in weka.core
  A little, simple helper class for logging stuff.
Debug.SimpleLog() - Constructor for class weka.core.Debug.SimpleLog
  default constructor, uses only stdout
Debug.SimpleLog(String) - Constructor for class weka.core.Debug.SimpleLog
  Creates a logger that writes into the specified file.
Debug.SimpleLog(String, boolean) - Constructor for class weka.core.Debug.SimpleLog
  Creates a logger that writes into the specified file.
Debug.Timestamp - Class in weka.core
  A class that can be used for timestamps in files, The toString() method simply returns the associated Date object in a timestamp format.
Debug.Timestamp() - Constructor for class weka.core.Debug.Timestamp
  creates a timestamp with the current date and time and the default format.
Debug.Timestamp(String) - Constructor for class weka.core.Debug.Timestamp
  creates a timestamp with the current date and time and the specified format.
Debug.Timestamp(Date) - Constructor for class weka.core.Debug.Timestamp
  creates a timestamp with the given date and the default format.
Debug.Timestamp(Date, String) - Constructor for class weka.core.Debug.Timestamp
  creates a timestamp with the given date and format.
debuggingOutputTipText() - Method in class weka.attributeSelection.GreedyStepwise
  Returns the tip text for this property
debugTipText() - Method in class weka.attributeSelection.CfsSubsetEval
  Returns the tip text for this property
debugTipText() - Method in class weka.classifiers.AbstractClassifier
  Returns the tip text for this property
debugTipText() - Method in class weka.classifiers.functions.Logistic
  Returns the tip text for this property
debugTipText() - Method in class weka.classifiers.functions.supportVector.Kernel
  Returns the tip text for this property
debugTipText() - Method in class weka.classifiers.meta.MultiScheme
  Returns the tip text for this property
debugTipText() - Method in class weka.classifiers.rules.JRip
  Returns the tip text for this property
debugTipText() - Method in class weka.clusterers.AbstractClusterer
  Returns the tip text for this property
debugTipText() - Method in class weka.clusterers.EM
  Returns the tip text for this property
debugTipText() - Method in class weka.core.converters.TextDirectoryLoader
  the tip text for this property
debugTipText() - Method in class weka.core.stopwords.AbstractStopwords
  Returns the tip text for this property
debugTipText() - Method in class weka.datagenerators.DataGenerator
  Returns the tip text for this property
debugTipText() - Method in class weka.estimators.Estimator
  Returns the tip text for this property
debugTipText() - Method in class weka.experiment.DatabaseUtils
  Returns the tip text for this property.
debugTipText() - Method in class weka.filters.Filter
  Returns the tip text for this property
debugTipText() - Method in class weka.filters.unsupervised.attribute.AddExpression
  Returns the tip text for this property
decayTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
decimalsTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the tip text for this property
Decision - Class in weka.core.pmml.jaxbbindings
  Java class for Decision element declaration.
Decision() - Constructor for class weka.core.pmml.jaxbbindings.Decision
Decisions - Class in weka.core.pmml.jaxbbindings
  Java class for Decisions element declaration.
Decisions() - Constructor for class weka.core.pmml.jaxbbindings.Decisions
DecisionStump - Class in weka.classifiers.trees
  Class for building and using a decision stump.
DecisionStump() - Constructor for class weka.classifiers.trees.DecisionStump
DecisionTable - Class in weka.classifiers.rules
  Class for building and using a simple decision table majority classifier.
  For more information see:
  Ron Kohavi: The Power of Decision Tables.
DecisionTable() - Constructor for class weka.classifiers.rules.DecisionTable
  Constructor for a DecisionTable
DecisionTableHashKey - Class in weka.classifiers.rules
  Class providing hash table keys for DecisionTable
DecisionTableHashKey(Instance, int, boolean) - Constructor for class weka.classifiers.rules.DecisionTableHashKey
  Constructor for a hashKey
DecisionTableHashKey(double[]) - Constructor for class weka.classifiers.rules.DecisionTableHashKey
  Constructor for a hashKey
DecisionTree - Class in weka.core.pmml.jaxbbindings
  Java class for DecisionTree element declaration.
DecisionTree() - Constructor for class weka.core.pmml.jaxbbindings.DecisionTree
decompose() - Method in class weka.classifiers.BVDecompose
  Carry out the bias-variance decomposition
decompose() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Carry out the bias-variance decomposition using the sub-sampled cross-validation method.
decreaseFontSize() - Method in class weka.gui.beans.Note
  Decrease the font size by one
decreaseFrequency(int) - Method in class weka.associations.Item
  Decrease the frequency of this item.
decreaseFrequency() - Method in class weka.associations.Item
  Decrement the frequency of this item.
DEFAULT_COLORS - Static variable in class weka.gui.boundaryvisualizer.BoundaryPanel
  default colours for classes
DEFAULT_COMMENT - Static variable in class weka.gui.scripting.SyntaxDocument
  the attribute set for comments.
DEFAULT_EXPRESSION - Static variable in class weka.filters.unsupervised.attribute.RemoveByName
  the default expression.
DEFAULT_FONT_FAMILY - Static variable in class weka.gui.scripting.SyntaxDocument
  the font family.
DEFAULT_FONT_SIZE - Static variable in class weka.gui.scripting.SyntaxDocument
  the font size.
DEFAULT_FORMAT - Static variable in class weka.core.Debug.Timestamp
  the default format
DEFAULT_FORMAT - Static variable in class weka.gui.SimpleDateFormatEditor
  the default format
DEFAULT_HEIGHT - Static variable in class weka.gui.arffviewer.ArffViewerMainPanel
  the default for height
DEFAULT_KEYWORD - Static variable in class weka.gui.scripting.SyntaxDocument
  the attribute set for keywords.
DEFAULT_LEFT - Static variable in class weka.gui.arffviewer.ArffViewerMainPanel
  the default for left
DEFAULT_NORMAL - Static variable in class weka.gui.scripting.SyntaxDocument
  the attribute set for normal code.
DEFAULT_PACKAGE - Static variable in class weka.core.ClassCache
  the key for the default package.
DEFAULT_SEPARATORS - Static variable in class weka.core.TestInstances
  the default word separators used in strings
DEFAULT_SHAPE_SIZE - Static variable in class weka.gui.visualize.Plot2D
DEFAULT_STORE_LOCATION - Static variable in class weka.gui.beans.XMLFileBasedKFMetaStore
  The default location for the XML files
DEFAULT_STRING - Static variable in class weka.gui.scripting.SyntaxDocument
  the attribute set for strings.
DEFAULT_SUFFIX - Static variable in class weka.experiment.ExplicitTestsetResultProducer
  the default suffix.
DEFAULT_T1 - Static variable in class weka.clusterers.Canopy
DEFAULT_T2 - Static variable in class weka.clusterers.Canopy
DEFAULT_TOP - Static variable in class weka.gui.arffviewer.ArffViewerMainPanel
  the default for top
DEFAULT_WIDTH - Static variable in class weka.gui.arffviewer.ArffViewerMainPanel
  the default for width
DEFAULT_WORDS - Static variable in class weka.core.TestInstances
  the default list of words used in strings
DefaultAssociationRule - Class in weka.associations
  Class for storing and manipulating an association rule.
DefaultAssociationRule(Collection<Item>, Collection<Item>, DefaultAssociationRule.METRIC_TYPE, int, int, int, int) - Constructor for class weka.associations.DefaultAssociationRule
  Construct a new default association rule.
DefaultAssociationRule.METRIC_TYPE - Enum in weka.associations
  Enum for holding different metric types
defaultOutput() - Method in class weka.datagenerators.DataGenerator
  Gets writer, which is used for outputting to stdout.
defineDataFormat() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.classifiers.classification.LED24
  Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.classifiers.regression.Expression
  Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Initializes the format for the dataset produced.
defineDataFormat() - Method in class weka.datagenerators.DataGenerator
  Initializes the format for the dataset produced.
DefineFunction - Class in weka.core.pmml
  Class encapsulating DefineFunction (used in TransformationDictionary).
DefineFunction(Element, TransformationDictionary) - Constructor for class weka.core.pmml.DefineFunction
DefineFunction - Class in weka.core.pmml.jaxbbindings
  Java class for DefineFunction element declaration.
DefineFunction() - Constructor for class weka.core.pmml.jaxbbindings.DefineFunction
del(int, Instance) - Method in class weka.classifiers.trees.j48.Distribution
  Deletes given instance from given bag.
delete(int) - Method in class weka.classifiers.functions.supportVector.SMOset
  Deletes an element from the set.
delete() - Method in class weka.core.Instances
  Removes all instances from the set.
delete(int) - Method in class weka.core.Instances
  Removes an instance at the given position from the set.
deleteArc(String, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Delete arc between two nodes.
deleteArc(int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Delete arc between two nodes.
deleteAttribute() - Method in class weka.gui.arffviewer.ArffPanel
  deletes the currently selected attribute
deleteAttribute(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  deletes the current selected Attribute or several chosen ones
deleteAttributeAt(int) - Method in class weka.core.AbstractInstance
  Deletes an attribute at the given position (0 to numAttributes() - 1).
deleteAttributeAt(int) - Method in interface weka.core.Instance
  Deletes an attribute at the given position (0 to numAttributes() - 1).
deleteAttributeAt(int) - Method in class weka.core.Instances
  Deletes an attribute at the given position (0 to numAttributes() - 1).
deleteAttributeAt(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  deletes the attribute at the given col index
deleteAttributeAt(int) - Method in class weka.gui.arffviewer.ArffTableModel
  deletes the attribute at the given col index.
deleteAttributeAt(int, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
  deletes the attribute at the given col index
deleteAttributes() - Method in class weka.gui.arffviewer.ArffPanel
  deletes the chosen attributes
deleteAttributes(int[]) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  deletes the attributes at the given indices
deleteAttributes(int[]) - Method in class weka.gui.arffviewer.ArffTableModel
  deletes the attributes at the given indices
deleteAttributeType(int) - Method in class weka.core.Instances
  Deletes all attributes of the given type in the dataset.
deleteEmptyBinsTipText() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns the tip text for this property
deleteInstance() - Method in class weka.gui.arffviewer.ArffPanel
  deletes the currently selected instance
deleteInstance(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  deletes the current selected Instance or several chosen ones
deleteInstanceAt(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  deletes the instance at the given index
deleteInstanceAt(int) - Method in class weka.gui.arffviewer.ArffTableModel
  deletes the instance at the given index
deleteInstanceAt(int, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
  deletes the instance at the given index
deleteInstances() - Method in class weka.gui.arffviewer.ArffPanel
  deletes all the currently selected instances
deleteInstances(int[]) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  deletes the instances at the given positions
deleteInstances(int[]) - Method in class weka.gui.arffviewer.ArffTableModel
  deletes the instances at the given positions
deleteItemSets(ArrayList<Object>, int, int) - Static method in class weka.associations.ItemSet
  Deletes all item sets that don't have minimum support.
deleteItemSets(ArrayList<Object>, int, int) - Static method in class weka.associations.LabeledItemSet
  Deletes all item sets that don't have minimum support and have more than maximum support
deleteLastParent(Instances) - Method in class weka.classifiers.bayes.net.ParentSet
  Delete last added parent from parent set and update internals (specifically the cardinality of the parent set)
deleteNode(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Delete node from the network, updating instances, parentsets, distributions Conditional distributions are condensed by taking the values for the target node to be its first value.
deleteNode(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Delete node from the network, updating instances, parentsets, distributions Conditional distributions are condensed by taking the values for the target node to be its first value.
deleteParent(int, Instances) - Method in class weka.classifiers.bayes.net.ParentSet
  delete node from parent set
deleteSelection(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Delete nodes with indexes in selection from the network, updating instances, parentsets, distributions Conditional distributions are condensed by taking the values for the target node to be its first value.
deleteStringAttributes() - Method in class weka.core.Instances
  Deletes all string attributes in the dataset.
deleteWithMissing(int) - Method in class weka.core.Instances
  Removes all instances with missing values for a particular attribute from the dataset.
deleteWithMissing(Attribute) - Method in class weka.core.Instances
  Removes all instances with missing values for a particular attribute from the dataset.
deleteWithMissingClass() - Method in class weka.core.Instances
  Removes all instances with a missing class value from the dataset.
Delimiter - Class in weka.core.pmml.jaxbbindings
  Java class for Delimiter element declaration.
Delimiter() - Constructor for class weka.core.pmml.jaxbbindings.Delimiter
DELIMITER2 - Enum in weka.core.pmml.jaxbbindings
  Java class for DELIMITER.
delimitersTipText() - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
  Returns the tip text for this property
delNodeValue(int, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Delete node value from a node.
delRange(int, Instances, int, int) - Method in class weka.classifiers.trees.j48.Distribution
  Deletes all instances in given range from given bag.
deltaTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
deltaTipText() - Method in class weka.associations.FPGrowth
  Returns the tip text for this property
deltaTipText() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
deltaTipText() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
DenseInstance - Class in weka.core
  Class for handling an instance.
DenseInstance(Instance) - Constructor for class weka.core.DenseInstance
  Constructor that copies the attribute values and the weight from the given instance.
DenseInstance(double, double[]) - Constructor for class weka.core.DenseInstance
  Constructor that inititalizes instance variable with given values.
DenseInstance(int) - Constructor for class weka.core.DenseInstance
  Constructor of an instance that sets weight to one, all values to be missing, and the reference to the dataset to null.
DensityBasedClusterer - Interface in weka.clusterers
  Interface for clusterers that can estimate the density for a given instance.
DensityBasedClustererSplitEvaluator - Class in weka.experiment
  A SplitEvaluator that produces results for a density based clusterer.
DensityBasedClustererSplitEvaluator() - Constructor for class weka.experiment.DensityBasedClustererSplitEvaluator
densityBasedClustererTipText() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Returns a description of this option suitable for display as a tip text in the gui.
dependencies() - Method in class weka.core.Capabilities
  Returns an Iterator over the stored dependencies
depth() - Method in class weka.gui.HierarchyPropertyParser
  Get the depth of the tree, i.e.
DerivedField - Class in weka.core.pmml.jaxbbindings
  Java class for DerivedField element declaration.
DerivedField() - Constructor for class weka.core.pmml.jaxbbindings.DerivedField
DerivedField(String, DATATYPE, OPTYPE) - Constructor for class weka.core.pmml.jaxbbindings.DerivedField
DerivedFieldMetaInfo - Class in weka.core.pmml
DerivedFieldMetaInfo(Element, ArrayList<Attribute>, TransformationDictionary) - Constructor for class weka.core.pmml.DerivedFieldMetaInfo
descendantPopulationSizeTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
descendantPopulationSizeTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
description() - Method in class weka.core.Option
  Returns the option's description.
deserialize(InputStream) - Static method in class weka.core.scripting.Jython
  deserializes the Python Object from the stream
deSerialize(String) - Static method in class weka.core.xml.XStream
  Deserializes an object from the supplied XML string
desiredWeightOfInstancesPerIntervalTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
  Returns the tip text for this property
dest - Variable in class weka.gui.graphvisualizer.GraphEdge
  The index of target node in Nodes vector
destLbl - Variable in class weka.gui.graphvisualizer.GraphEdge
  Label of target node
det() - Method in class weka.core.matrix.LUDecomposition
  Determinant
det() - Method in class weka.core.matrix.Matrix
  Matrix determinant
detectionPerAttributeTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Returns the tip text for this property
determineBounds() - Method in class weka.gui.visualize.Plot2D
  Determine the min and max values for axis and colouring attributes
determineClasses() - Static method in class weka.gui.GenericObjectEditor
determineColumnConstraints(ResultProducer) - Method in class weka.experiment.AveragingResultProducer
  Determines if there are any constraints (imposed by the destination) on the result columns to be produced by resultProducers.
determineColumnConstraints(ResultProducer) - Method in class weka.experiment.CSVResultListener
  Determines if there are any constraints (imposed by the destination) on the result columns to be produced by resultProducers.
determineColumnConstraints(ResultProducer) - Method in class weka.experiment.DatabaseResultListener
  Determines if there are any constraints (imposed by the destination) on any additional measures produced by resultProducers.
determineColumnConstraints(ResultProducer) - Method in class weka.experiment.LearningRateResultProducer
  Determines if there are any constraints (imposed by the destination) on the result columns to be produced by resultProducers.
determineColumnConstraints(ResultProducer) - Method in interface weka.experiment.ResultListener
  Determines if there are any constraints (imposed by the destination) on additional result columns to be produced by resultProducers.
determineValues(Instances) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  determines the values to retain, it is always at least 1 and up to the maximum number of distinct values
DIAMOND_SHAPE - Static variable in class weka.gui.visualize.Plot2D
differencesProbability - Variable in class weka.experiment.PairedStats
  The probability of obtaining the observed differences
differencesSignificance - Variable in class weka.experiment.PairedStats
  A significance indicator: 0 if the differences are not significant > 0 if x significantly greater than y < 0 if x significantly less than y
differencesStats - Variable in class weka.experiment.PairedStats
  The stats associated with the paired differences
DIRECTED - Static variable in interface weka.gui.graphvisualizer.GraphConstants
  Types of Edges
directionTipText() - Method in class weka.attributeSelection.BestFirst
  Returns the tip text for this property
disable(Capabilities.Capability) - Method in class weka.core.Capabilities
  disables the given capability Disabling NOMINAL_ATTRIBUTES also disables BINARY_ATTRIBUTES, UNARY_ATTRIBUTES and EMPTY_NOMINAL_ATTRIBUTES.
disable(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
  disables the given capability.
disableAll() - Method in class weka.core.Capabilities
  disables all attribute and class types (including dependencies)
disableAllAttributeDependencies() - Method in class weka.core.Capabilities
  disables all attribute type dependencies
disableAllAttributes() - Method in class weka.core.Capabilities
  disables all attribute types
disableAllClassDependencies() - Method in class weka.core.Capabilities
  disables all class type dependencies
disableAllClasses() - Method in class weka.core.Capabilities
  disables all class types
disableDependency(Capabilities.Capability) - Method in class weka.core.Capabilities
  disables the dependency of the given capability Disabling NOMINAL_ATTRIBUTES also disables BINARY_ATTRIBUTES, UNARY_ATTRIBUTES and EMPTY_NOMINAL_ATTRIBUTES.
disableNot(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
  disables the given "not to have" capability.
disconnect(NeuralConnection, NeuralConnection) - Static method in class weka.classifiers.functions.neural.NeuralConnection
  Disconnects two units.
DISCONNECT - Static variable in class weka.gui.sql.event.ConnectionEvent
  it was a disconnect
disconnectFromDatabase() - Method in class weka.experiment.DatabaseUtils
  Closes the connection to the database.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.AbstractDataSink
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.AbstractEvaluator
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event named
disconnectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTestSetProducer
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.AbstractTrainingSetProducer
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Appender
  Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Associator
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in interface weka.gui.beans.BeanCommon
  Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.ClassAssigner
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Classifier
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.ClassValuePicker
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Clusterer
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in interface weka.gui.beans.ConnectionNotificationConsumer
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name This method should be implemented synchronized.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.CostBenefitAnalysis
  Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.CrossValidationFoldMaker
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.DataVisualizer
  Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Filter
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.FlowByExpression
disconnectionNotification(String, Object) - Method in class weka.gui.beans.ImageSaver
disconnectionNotification(String, Object) - Method in class weka.gui.beans.ImageViewer
disconnectionNotification(String, Object) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Join
  Handles cleanup when an upstream step disconnects
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Loader
  Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.MetaBean
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.ModelPerformanceChart
  Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.PredictionAppender
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
disconnectionNotification(String, Object) - Method in class weka.gui.beans.SerializedModelSaver
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.Sorter
  Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.StripChart
  Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.SubstringLabeler
  Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.SubstringReplacer
  Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.TextSaver
disconnectionNotification(String, Object) - Method in class weka.gui.beans.TextViewer
  Notify this object that it has been deregistered as a listener with a source for named event.
disconnectionNotification(String, Object) - Method in class weka.gui.beans.TrainTestSplitMaker
  Notify this object that it has been deregistered as a listener with a source with respect to the supplied event name
DiscreteEstimator - Class in weka.estimators
  Simple symbolic probability estimator based on symbol counts.
DiscreteEstimator(int, boolean) - Constructor for class weka.estimators.DiscreteEstimator
  Constructor
DiscreteEstimator(int, double) - Constructor for class weka.estimators.DiscreteEstimator
  Constructor
DiscreteEstimatorBayes - Class in weka.classifiers.bayes.net.estimate
  Symbolic probability estimator based on symbol counts and a prior.
DiscreteEstimatorBayes(int, double) - Constructor for class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
  Constructor
DiscreteEstimatorFullBayes - Class in weka.classifiers.bayes.net.estimate
  Symbolic probability estimator based on symbol counts and a prior.
DiscreteEstimatorFullBayes(int, double, double, DiscreteEstimatorBayes, DiscreteEstimatorBayes, double) - Constructor for class weka.classifiers.bayes.net.estimate.DiscreteEstimatorFullBayes
  Constructor
Discretize - Class in weka.core.pmml
  Class encapsulating a Discretize Expression.
Discretize(Element, FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.Discretize
  Constructs a Discretize Expression
Discretize - Class in weka.core.pmml.jaxbbindings
  Java class for Discretize element declaration.
Discretize() - Constructor for class weka.core.pmml.jaxbbindings.Discretize
Discretize - Class in weka.filters.supervised.attribute
  An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.
Discretize() - Constructor for class weka.filters.supervised.attribute.Discretize
  Constructor - initialises the filter
Discretize - Class in weka.filters.unsupervised.attribute
  An instance filter that discretizes a range of numeric attributes in the dataset into nominal attributes.
Discretize() - Constructor for class weka.filters.unsupervised.attribute.Discretize
  Constructor - initialises the filter
Discretize(String) - Constructor for class weka.filters.unsupervised.attribute.Discretize
  Another constructor, sets the attribute indices immediately
DiscretizeBin - Class in weka.core.pmml.jaxbbindings
  Java class for DiscretizeBin element declaration.
DiscretizeBin() - Constructor for class weka.core.pmml.jaxbbindings.DiscretizeBin
DiscrStats - Class in weka.core.pmml.jaxbbindings
  Java class for DiscrStats element declaration.
DiscrStats() - Constructor for class weka.core.pmml.jaxbbindings.DiscrStats
displayModelInOldFormatTipText() - Method in class weka.classifiers.bayes.NaiveBayes
  Returns the tip text for this property
displayModelInOldFormatTipText() - Method in class weka.clusterers.EM
  Returns the tip text for this property
displayResultset(int) - Method in class weka.experiment.PairedTTester
  Checks whether the resultset with the given index shall be displayed.
displayResultset(int) - Method in interface weka.experiment.Tester
  Checks whether the resultset with the given index shall be displayed.
displayRulesTipText() - Method in class weka.classifiers.rules.DecisionTable
  Returns the tip text for this property
displayStdDevsTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property.
dispose() - Method in class weka.gui.GUIChooser.ChildFrameSDI
  de-registers the child frame with the parent first.
dispose() - Method in class weka.gui.Main.ChildFrameMDI
  de-registers the child frame with the parent first.
dispose() - Method in class weka.gui.Main.ChildFrameSDI
  de-registers the child frame with the parent first.
dispose() - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
disposeSingleton() - Static method in class weka.gui.beans.KnowledgeFlowApp
disposeSplash() - Static method in class weka.gui.SplashWindow
  Closes the splash window.
distance(Instance, Instance) - Method in interface weka.core.DistanceFunction
  Calculates the distance between two instances.
distance(Instance, Instance, PerformanceStats) - Method in interface weka.core.DistanceFunction
  Calculates the distance between two instances.
distance(Instance, Instance, double) - Method in interface weka.core.DistanceFunction
  Calculates the distance between two instances.
distance(Instance, Instance, double, PerformanceStats) - Method in interface weka.core.DistanceFunction
  Calculates the distance between two instances.
distance(Instance, Instance) - Method in class weka.core.EuclideanDistance
  Calculates the distance between two instances.
distance(Instance, Instance, PerformanceStats) - Method in class weka.core.EuclideanDistance
  Calculates the distance (or similarity) between two instances.
distance(Instance, Instance) - Method in class weka.core.FilteredDistance
  Calculates the distance between two instances.
distance(Instance, Instance, PerformanceStats) - Method in class weka.core.FilteredDistance
  Calculates the distance between two instances.
distance(Instance, Instance, double) - Method in class weka.core.FilteredDistance
  Calculates the distance between two instances.
distance(Instance, Instance, double, PerformanceStats) - Method in class weka.core.FilteredDistance
  Calculates the distance between two instances.
distance(Instance, Instance) - Method in class weka.core.MinkowskiDistance
  Calculates the distance between two instances.
distance(Instance, Instance, PerformanceStats) - Method in class weka.core.MinkowskiDistance
  Calculates the distance (or similarity) between two instances.
distance(Instance, Instance) - Method in class weka.core.NormalizableDistance
  Calculates the distance between two instances.
distance(Instance, Instance, PerformanceStats) - Method in class weka.core.NormalizableDistance
  Calculates the distance between two instances.
distance(Instance, Instance, double) - Method in class weka.core.NormalizableDistance
  Calculates the distance between two instances.
distance(Instance, Instance, double, PerformanceStats) - Method in class weka.core.NormalizableDistance
  Calculates the distance between two instances.
DistanceFunction - Interface in weka.core
  Interface for any class that can compute and return distances between two instances.
distanceFunctionTipText() - Method in class weka.clusterers.HierarchicalClusterer
distanceFunctionTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property.
distanceFunctionTipText() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Returns the tip text for this property.
distanceIsBranchLengthTipText() - Method in class weka.clusterers.HierarchicalClusterer
distanceTipText() - Method in class weka.core.FilteredDistance
  Returns the tip text for this property
distanceWeightingTipText() - Method in class weka.classifiers.lazy.IBk
  Returns the tip text for this property.
distinctCount - Variable in class weka.core.AttributeStats
  The number of distinct values
distMultTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns the tip text for this property
distributedExperimentSelected() - Method in class weka.gui.experiment.DistributeExperimentPanel
  Returns true if the distribute experiment checkbox is selected
DistributeExperimentPanel - Class in weka.gui.experiment
  This panel enables an experiment to be distributed to multiple hosts; it also allows remote host names to be specified.
DistributeExperimentPanel() - Constructor for class weka.gui.experiment.DistributeExperimentPanel
  Constructor
DistributeExperimentPanel(Experiment) - Constructor for class weka.gui.experiment.DistributeExperimentPanel
  Creates the panel with the supplied initial experiment.
distribution() - Method in class weka.classifiers.evaluation.NominalPrediction
  Gets the predicted probabilities
distribution() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Returns the distribution of class values induced by the model.
Distribution - Class in weka.classifiers.trees.j48
  Class for handling a distribution of class values.
Distribution(int, int) - Constructor for class weka.classifiers.trees.j48.Distribution
  Creates and initializes a new distribution.
Distribution(double[][]) - Constructor for class weka.classifiers.trees.j48.Distribution
  Creates and initializes a new distribution using the given array.
Distribution(Instances) - Constructor for class weka.classifiers.trees.j48.Distribution
  Creates a distribution with only one bag according to instances in source.
Distribution(Instances, ClassifierSplitModel) - Constructor for class weka.classifiers.trees.j48.Distribution
  Creates a distribution according to given instances and split model.
Distribution(Distribution) - Constructor for class weka.classifiers.trees.j48.Distribution
  Creates distribution with only one bag by merging all bags of given distribution.
Distribution(Distribution, int) - Constructor for class weka.classifiers.trees.j48.Distribution
  Creates distribution with two bags by merging all bags apart of the indicated one.
distributionForInstance(Instance) - Method in class weka.classifiers.AbstractClassifier
  Predicts the class memberships for a given instance.
distributionForInstance(Instance) - Method in class weka.classifiers.bayes.BayesNet
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.bayes.NaiveBayes
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in interface weka.classifiers.Classifier
  Predicts the class memberships for a given instance.
distributionForInstance(Instance) - Method in class weka.classifiers.functions.Logistic
  Computes the distribution for a given instance
distributionForInstance(Instance) - Method in class weka.classifiers.functions.MultilayerPerceptron
  Call this function to predict the class of an instance once a classification model has been built with the buildClassifier call.
distributionForInstance(Instance) - Method in class weka.classifiers.functions.SGD
  Computes the distribution for a given instance
distributionForInstance(Instance) - Method in class weka.classifiers.functions.SGDText
distributionForInstance(Instance) - Method in class weka.classifiers.functions.SimpleLogistic
  Returns class probabilities for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.functions.SMO
  Estimates class probabilities for given instance.
distributionForInstance(Instance) - Method in class weka.classifiers.functions.VotedPerceptron
  Outputs the distribution for the given output.
distributionForInstance(Instance) - Method in class weka.classifiers.lazy.IBk
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.lazy.KStar
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.lazy.LWL
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.AdaBoostM1
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Classifies a given instance after attribute selection
distributionForInstance(Instance) - Method in class weka.classifiers.meta.Bagging
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.ClassificationViaRegression
  Returns the distribution for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Returns class probabilities.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.CVParameterSelection
  Predicts the class distribution for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.FilteredClassifier
  Classifies a given instance after filtering.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the class distribution for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.LogitBoost
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.MultiClassClassifier
  Returns the distribution for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
  Returns the distribution for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.MultiScheme
  Returns class probabilities.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.RandomCommittee
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.RandomSubSpace
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.Stacking
  Returns class probabilities.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.Vote
  Classifies a given instance using the selected combination rule.
distributionForInstance(Instance) - Method in class weka.classifiers.misc.InputMappedClassifier
distributionForInstance(Instance) - Method in class weka.classifiers.misc.SerializedClassifier
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.pmml.consumer.GeneralRegression
  Classifies the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.pmml.consumer.NeuralNetwork
  Classifies the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.pmml.consumer.Regression
  Classifies the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.pmml.consumer.RuleSetModel
  Classifies the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.pmml.consumer.SupportVectorMachineModel
  Classifies the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.pmml.consumer.TreeModel
  Classifies the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.rules.DecisionTable
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.rules.JRip
  Classify the test instance with the rule learner and provide the class distributions
distributionForInstance(Instance) - Method in class weka.classifiers.rules.part.ClassifierDecList
  Returns class probabilities for a weighted instance.
distributionForInstance(Instance) - Method in class weka.classifiers.rules.PART
  Returns class probabilities for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.rules.part.MakeDecList
  Returns the class distribution for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.rules.ZeroR
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.DecisionStump
  Calculates the class membership probabilities for the given test instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.HoeffdingTree
  Returns class probabilities for an instance.
distributionForInstance(Instance, boolean) - Method in class weka.classifiers.trees.j48.ClassifierTree
  Returns class probabilities for a weighted instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.J48
  Returns class probabilities for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.LMT
  Returns class probabilities for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.lmt.LMTNode
  Returns the class probabilities for an instance given by the logistic model tree.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.lmt.LogisticBase
  Returns class probabilities for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.RandomForest
  Returns the class probability distribution for an instance.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.RandomTree
  Computes class distribution of an instance using the tree.
distributionForInstance(Instance) - Method in class weka.classifiers.trees.REPTree
  Computes class distribution of an instance using the tree.
distributionForInstance(Instance) - Method in class weka.clusterers.AbstractClusterer
  Predicts the cluster memberships for a given instance.
distributionForInstance(Instance) - Method in class weka.clusterers.AbstractDensityBasedClusterer
  Returns the cluster probability distribution for an instance.
distributionForInstance(Instance) - Method in class weka.clusterers.Canopy
distributionForInstance(Instance) - Method in interface weka.clusterers.Clusterer
  Predicts the cluster memberships for a given instance.
distributionForInstance(Instance) - Method in interface weka.clusterers.DensityBasedClusterer
  Returns the cluster probability distribution for an instance.
distributionForInstance(Instance) - Method in class weka.clusterers.FilteredClusterer
  Classifies a given instance after filtering.
distributionForInstance(Instance) - Method in class weka.clusterers.HierarchicalClusterer
distributionsByOriginalIndex(double[]) - Method in class weka.filters.supervised.attribute.ClassOrder
  Convert the given class distribution back to the distributions with the original internal class index
distributionsForInstances(Instances) - Method in class weka.classifiers.meta.FilteredClassifier
  Batch scoring method.
distributionsForInstances(Instances) - Method in class weka.classifiers.meta.LogitBoost
  Calculates the class membership probabilities for the given test instances.
distributionsForInstances(Instances) - Method in interface weka.core.BatchPredictor
  Batch scoring method
distributionSpreadTipText() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Returns the tip text for this property
distributionTipText() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Returns the tip text for this property
divergence(BayesNet) - Method in class weka.classifiers.bayes.net.BIFReader
  calculates the divergence between the probability distribution represented by this network and that of another, that is, \sum_{x\in X} P(x)log P(x)/Q(x) where X is the set of values the nodes in the network can take, P(x) the probability of this network for configuration x Q(x) the probability of the other network for configuration x
divide(Instances, boolean) - Static method in class weka.associations.LabeledItemSet
  Splits the class attribute away.
dividedBy(DoubleVector) - Method in class weka.core.matrix.DoubleVector
  Divided by another DoubleVector element by element
dividedByEquals(DoubleVector) - Method in class weka.core.matrix.DoubleVector
  Divided by another DoubleVector element by element in place
DIVISION - Static variable in interface weka.core.mathematicalexpression.sym
DIVISION - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
DKConditionalEstimator - Class in weka.estimators
  Conditional probability estimator for a discrete domain conditional upon a numeric domain.
DKConditionalEstimator(int, double) - Constructor for class weka.estimators.DKConditionalEstimator
  Constructor
dl(int) - Method in class weka.core.Debug.DBO
  Return true if the debug level is set same method as outpuTypeSet but better name
DNConditionalEstimator - Class in weka.estimators
  Conditional probability estimator for a discrete domain conditional upon a numeric domain.
DNConditionalEstimator(int, double) - Constructor for class weka.estimators.DNConditionalEstimator
  Constructor
dnorm(double) - Static method in class weka.core.matrix.Maths
  Returns the density of the standard normal.
dnorm(double, double, double) - Static method in class weka.core.matrix.Maths
  Returns the density value of a standard normal.
dnorm(double, DoubleVector, double) - Static method in class weka.core.matrix.Maths
  Returns the density values of a set of normal distributions with different means.
dnormLog(double) - Static method in class weka.core.matrix.Maths
  Returns the log-density of the standard normal.
dnormLog(double, double, double) - Static method in class weka.core.matrix.Maths
  Returns the log-density value of a standard normal.
dnormLog(double, DoubleVector, double) - Static method in class weka.core.matrix.Maths
  Returns the log-density values of a set of normal distributions with different means.
do_action(int, lr_parser, Stack, int) - Method in class weka.core.json.Parser
  Invoke a user supplied parse action.
do_action(int, lr_parser, Stack, int) - Method in class weka.core.mathematicalexpression.Parser
  Invoke a user supplied parse action.
do_action(int, lr_parser, Stack, int) - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Invoke a user supplied parse action.
doCommandlineCompletion(KeyEvent) - Method in class weka.gui.SimpleCLIPanel
  performs commandline completion on packages and classnames.
DOCTYPE - Static variable in class weka.core.xml.XMLInstances
  the DTD
DOCTYPE - Static variable in class weka.core.xml.XMLOptions
  the DTD for the XML file.
DOCTYPE - Static variable in class weka.core.xml.XMLSerialization
  the DOCTYPE for the serialization
DocumentPrinting - Class in weka.gui
  DocumentPrinting is a class that lets you print documents on the fly for free ;) Printing in JDK 1.2 - 1.5 is hard.
DocumentPrinting() - Constructor for class weka.gui.DocumentPrinting
  Initializes the printing.
DocumentTermMatrix - Class in weka.core.pmml.jaxbbindings
  Java class for DocumentTermMatrix element declaration.
DocumentTermMatrix() - Constructor for class weka.core.pmml.jaxbbindings.DocumentTermMatrix
doHistory(KeyEvent) - Method in class weka.gui.SimpleCLIPanel
  Changes the currently displayed command line when certain keys are pressed.
doLayout() - Method in class weka.gui.beans.EnvironmentField.WideComboBox
doMetaConnection(BeanInstance, BeanInstance, EventSetDescriptor, JComponent, int) - Static method in class weka.gui.beans.BeanConnection
done() - Method in interface weka.classifiers.IterativeClassifier
  Signal end of iterating, useful for any house-keeping/cleanup
done() - Method in class weka.classifiers.meta.AdaBoostM1
  Clean up after boosting.
done() - Method in class weka.classifiers.meta.AdditiveRegression
  Clean up.
done() - Method in class weka.classifiers.meta.FilteredClassifier
  Signal end of iterating, useful for any house-keeping/cleanup (If the base classifier supports this.)
done() - Method in class weka.classifiers.meta.LogitBoost
  Clean up after boosting.
done() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
  Signal that a scoring run has been completed.
doNotCheckCapabilities() - Method in class weka.core.Capabilities
  Does owner implement CapabilitiesIgnorer and does it not want capability checking to be performed?
doNotCheckCapabilitiesTipText() - Method in class weka.associations.AbstractAssociator
  Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.attributeSelection.ASEvaluation
  Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.classifiers.AbstractClassifier
  Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.classifiers.functions.supportVector.Kernel
  Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.clusterers.AbstractClusterer
  Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.core.converters.AbstractSaver
  Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.estimators.Estimator
  Returns the tip text for this property
doNotCheckCapabilitiesTipText() - Method in class weka.filters.Filter
  Returns the tip text for this property
doNotMakeSplitPointActualValueTipText() - Method in class weka.classifiers.rules.PART
  Returns the tip text for this property
doNotMakeSplitPointActualValueTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
doNotMakeSplitPointActualValueTipText() - Method in class weka.classifiers.trees.LMT
  Returns the tip text for this property
doNotOperateOnPerClassBasisTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
doNotPrintModelsTipText() - Method in class weka.classifiers.meta.Vote
  Returns the tip text for this property
dontCalculateOutOfBagErrorTipText() - Method in class weka.classifiers.trees.RandomForest
  Returns the tip text for this property
dontDisplayMetrics(List<String>) - Method in class weka.classifiers.Evaluation
  Remove the supplied list of metrics from the list of those to display.
dontDisplayMetrics(List<String>) - Method in class weka.classifiers.evaluation.Evaluation
  Remove the supplied list of metrics from the list of those to display.
dontFilterAfterFirstBatchTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns the tip text for this property.
dontNormalizeTipText() - Method in class weka.classifiers.functions.SGD
  Returns the tip text for this property
dontNormalizeTipText() - Method in class weka.core.NormalizableDistance
  Returns the tip text for this property.
dontReplaceMissingTipText() - Method in class weka.classifiers.functions.SGD
  Returns the tip text for this property
dontReplaceMissingValuesTipText() - Method in class weka.clusterers.Canopy
  Returns the tip text for this property.
dontReplaceMissingValuesTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property.
dontShowOKCancelButtons() - Method in interface weka.gui.beans.GOECustomizer
  Tells the customizer not to display its own OK and CANCEL buttons
dontShowOKCancelButtons() - Method in class weka.gui.filters.AddUserFieldsCustomizer
  Tell this customizer not to show its own OK and Cancel buttons.
doRun(int) - Method in class weka.experiment.AveragingResultProducer
  Gets the results for a specified run number.
doRun(int) - Method in class weka.experiment.CrossValidationResultProducer
  Gets the results for a specified run number.
doRun(int) - Method in class weka.experiment.CrossValidationSplitResultProducer
  Gets the results for a specified run number.
doRun(int) - Method in class weka.experiment.DatabaseResultProducer
  Gets the results for a specified run number.
doRun(int) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Gets the results for a specified run number.
doRun(int) - Method in class weka.experiment.LearningRateResultProducer
  Gets the results for a specified run number.
doRun(int) - Method in class weka.experiment.RandomSplitResultProducer
  Gets the results for a specified run number.
doRun(int) - Method in interface weka.experiment.ResultProducer
  Gets the results for a specified run number.
doRunKeys(int) - Method in class weka.experiment.AveragingResultProducer
  Gets the keys for a specified run number.
doRunKeys(int) - Method in class weka.experiment.CrossValidationResultProducer
  Gets the keys for a specified run number.
doRunKeys(int) - Method in class weka.experiment.CrossValidationSplitResultProducer
  Gets the keys for a specified run number.
doRunKeys(int) - Method in class weka.experiment.DatabaseResultProducer
  Gets the keys for a specified run number.
doRunKeys(int) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Gets the keys for a specified run number.
doRunKeys(int) - Method in class weka.experiment.LearningRateResultProducer
  Gets the keys for a specified run number.
doRunKeys(int) - Method in class weka.experiment.RandomSplitResultProducer
  Gets the keys for a specified run number.
doRunKeys(int) - Method in interface weka.experiment.ResultProducer
  Gets the keys for a specified run number.
doTests() - Method in class weka.associations.CheckAssociator
  Begin the tests, reporting results to System.out
doTests() - Method in class weka.attributeSelection.CheckAttributeSelection
  Begin the tests, reporting results to System.out
doTests() - Method in class weka.classifiers.CheckClassifier
  Begin the tests, reporting results to System.out
doTests() - Method in class weka.classifiers.functions.supportVector.CheckKernel
  Begin the tests, reporting results to System.out
doTests() - Method in class weka.clusterers.CheckClusterer
  Begin the tests, reporting results to System.out
doTests() - Method in class weka.core.Check
  Begin the tests, reporting results to System.out
doTests() - Method in class weka.core.CheckGOE
  Runs some diagnostic tests on the object.
doTests() - Method in class weka.core.CheckOptionHandler
  Runs some diagnostic tests on an optionhandler object.
doTests() - Method in class weka.core.CheckScheme
  Begin the tests, reporting results to System.out
doTests() - Method in class weka.estimators.CheckEstimator
  Begin the tests, reporting results to System.out
dotMultiply(AlgVector) - Method in class weka.core.AlgVector
  Returns the inner (or dot) product of two vectors
DotParser - Class in weka.gui.graphvisualizer
  This class parses input in DOT format, and builds the datastructures that are passed to it.
DotParser(Reader, ArrayList<GraphNode>, ArrayList<GraphEdge>) - Constructor for class weka.gui.graphvisualizer.DotParser
  Dot parser Constructor
dotProduct(VectorInstance) - Method in class weka.core.pmml.VectorInstance
  Computes the dot product between this vector instance and the argument
dotProduct(double[]) - Method in class weka.core.pmml.VectorInstance
  Computes the dot product between this vector instance and the supplied array of values
DOUBLE - Static variable in interface weka.core.json.sym
DOUBLE - Static variable in class weka.experiment.DatabaseUtils
  Type mapping for DOUBLE used for reading experiment results.
DOUBLE - Static variable in interface weka.gui.graphvisualizer.GraphConstants
  Types of Edges
doubleToString(double, int) - Static method in class weka.core.Utils
  Rounds a double and converts it into String.
doubleToString(double, int, int) - Static method in class weka.core.Utils
  Rounds a double and converts it into a formatted decimal-justified String.
DoubleVector - Class in weka.core.matrix
  A vector specialized on doubles.
DoubleVector() - Constructor for class weka.core.matrix.DoubleVector
  Constructs a null vector.
DoubleVector(int) - Constructor for class weka.core.matrix.DoubleVector
  Constructs an n-vector of zeros.
DoubleVector(int, double) - Constructor for class weka.core.matrix.DoubleVector
  Constructs a constant n-vector.
DoubleVector(double[]) - Constructor for class weka.core.matrix.DoubleVector
  Constructs a vector directly from a double array
dp(String) - Method in class weka.core.Debug.DBO
  prints out text if verbose is on.
dp(int, String) - Method in class weka.core.Debug.DBO
  prints out text but only if debug level is set.
dpln(String) - Method in class weka.core.Debug.DBO
  prints out text + endofline if verbose is on.
dpln(int, String) - Method in class weka.core.Debug.DBO
  prints out text + endofline but only if parameter debug type is set.
draw(Shape) - Method in class weka.gui.visualize.PostscriptGraphics
draw3DRect(int, int, int, int, boolean) - Method in class weka.gui.visualize.PostscriptGraphics
  Draw an outlined rectangle with 3D effect in current pen color.
Drawable - Interface in weka.core
  Interface to something that can be drawn as a graph.
drawArc(int, int, int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
drawBytes(byte[], int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  simply calls drawString(String,int,int)
drawChars(char[], int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  simply calls drawString(String,int,int)
drawGlyphVector(GlyphVector, float, float) - Method in class weka.gui.visualize.PostscriptGraphics
drawHighlight(Graphics, int, int) - Method in class weka.classifiers.functions.neural.NeuralConnection
  Call this function to draw the node highlighted.
drawImage(Image, int, int, Color, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
  calls drawImage(Image,int,int,int,int,Color,ImageObserver)
drawImage(Image, int, int, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
  calls drawImage(Image,int,int,Color,ImageObserver) with Color.WHITE as background color
drawImage(Image, int, int, int, int, Color, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
  PS see http://astronomy.swin.edu.au/~pbourke/geomformats/postscript/ Java http ://show.docjava.com:8086/book/cgij/doc/ip/graphics/SimpleImageFrame.java .html
drawImage(Image, int, int, int, int, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
  calls drawImage(Image,int,int,int,int,Color,ImageObserver) with the color WHITE as background
drawImage(Image, int, int, int, int, int, int, int, int, Color, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
drawImage(Image, int, int, int, int, int, int, int, int, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
  calls drawImage(Image,int,int,int,int,int,int,int,int,Color,ImageObserver) with Color.WHITE as background color
drawImage(BufferedImage, BufferedImageOp, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
drawImage(Image, AffineTransform, ImageObserver) - Method in class weka.gui.visualize.PostscriptGraphics
drawInputLines(Graphics, int, int) - Method in class weka.classifiers.functions.neural.NeuralConnection
  Call this function to draw the nodes input connections.
drawLine(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Draw a line in current pen color.
drawNode(Graphics, int, int) - Method in class weka.classifiers.functions.neural.NeuralConnection
  Call this function to draw the node.
drawOutputLines(Graphics, int, int) - Method in class weka.classifiers.functions.neural.NeuralConnection
  Call this function to draw the nodes output connections.
drawOval(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Draw an Oval outline in current pen color.
drawPolygon(int[], int[], int) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
drawPolyline(int[], int[], int) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
drawRect(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Draw an outlined rectangle in current pen color.
drawRenderableImage(RenderableImage, AffineTransform) - Method in class weka.gui.visualize.PostscriptGraphics
drawRenderedImage(RenderedImage, AffineTransform) - Method in class weka.gui.visualize.PostscriptGraphics
drawRoundRect(int, int, int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
drawString(AttributedCharacterIterator, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
drawString(String, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Draw text in current pen color.
drawString(AttributedCharacterIterator, float, float) - Method in class weka.gui.visualize.PostscriptGraphics
drawString(String, float, float) - Method in class weka.gui.visualize.PostscriptGraphics
DTD - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the DTD.
DTD_ANY - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the ANY placeholder.
DTD_ANY - Static variable in class weka.core.xml.XMLDocument
  the ANY placeholder.
DTD_AT_LEAST_ONE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the at least one marker.
DTD_AT_LEAST_ONE - Static variable in class weka.core.xml.XMLDocument
  the at least one marker.
DTD_ATTLIST - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the AttList definition.
DTD_ATTLIST - Static variable in class weka.core.xml.XMLDocument
  the AttList definition.
DTD_CDATA - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the CDATA placeholder.
DTD_CDATA - Static variable in class weka.core.xml.XMLDocument
  the CDATA placeholder.
DTD_DOCTYPE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the DocType definition.
DTD_DOCTYPE - Static variable in class weka.core.xml.XMLDocument
  the DocType definition.
DTD_ELEMENT - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the Element definition.
DTD_ELEMENT - Static variable in class weka.core.xml.XMLDocument
  the Element definition.
DTD_IMPLIED - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the #IMPLIED placeholder.
DTD_IMPLIED - Static variable in class weka.core.xml.XMLDocument
  the #IMPLIED placeholder.
DTD_OPTIONAL - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the optional marker.
DTD_OPTIONAL - Static variable in class weka.core.xml.XMLDocument
  the optional marker.
DTD_PCDATA - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the #PCDATA placeholder.
DTD_PCDATA - Static variable in class weka.core.xml.XMLDocument
  the #PCDATA placeholder.
DTD_REQUIRED - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the #REQUIRED placeholder.
DTD_REQUIRED - Static variable in class weka.core.xml.XMLDocument
  the #REQUIRED placeholder.
DTD_SEPARATOR - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the option separator.
DTD_SEPARATOR - Static variable in class weka.core.xml.XMLDocument
  the option separator.
DTD_ZERO_OR_MORE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the zero or more marker.
DTD_ZERO_OR_MORE - Static variable in class weka.core.xml.XMLDocument
  the zero or more marker.
DUMMY_STRING_VAL - Static variable in class weka.core.Attribute
  Dummy first value for String attributes (useful for sparse instances)
dumpDistribution() - Method in class weka.classifiers.trees.j48.Distribution
  Prints distribution.
dumpLabel(int, Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Prints label for subset index of instances (eg class).
dumpModel(Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Prints the split model.

## E

EAST_CONNECTOR - Static variable in class weka.gui.beans.BeanVisual
Edge - Class in weka.gui.treevisualizer
  This class is used in conjunction with the Node class to form a tree structure.
Edge(String, String, String) - Constructor for class weka.gui.treevisualizer.Edge
  This constructs an Edge with the specified label and parent , child serial tags.
edges - Variable in class weka.gui.graphvisualizer.GraphNode
  The indices of nodes to which there are edges from this node, plus the type of edge
edit() - Method in class weka.gui.explorer.PreprocessPanel
  edits the current instances object in the viewer
EditableBayesNet - Class in weka.classifiers.bayes.net
  Bayes Network learning using various search algorithms and quality measures.
  Base class for a Bayes Network classifier.
EditableBayesNet() - Constructor for class weka.classifiers.bayes.net.EditableBayesNet
  standard constructor *
EditableBayesNet(Instances) - Constructor for class weka.classifiers.bayes.net.EditableBayesNet
  constructor, creates empty network with nodes based on the attributes in a data set
EditableBayesNet(BIFReader) - Constructor for class weka.classifiers.bayes.net.EditableBayesNet
  constructor, copies Bayesian network structure from a Bayesian network encapsulated in a BIFReader
EditableBayesNet(boolean) - Constructor for class weka.classifiers.bayes.net.EditableBayesNet
  constructor that potentially initializes instances as well
editableProperties() - Method in class weka.gui.PropertySheetPanel
  Gets the number of editable properties for the current target.
eig() - Method in class weka.core.matrix.Matrix
  Eigenvalue Decomposition
EigenvalueDecomposition - Class in weka.core.matrix
  Eigenvalues and eigenvectors of a real matrix.
eigenvalueDecomposition(double[][], double[]) - Method in class weka.core.Matrix
  Deprecated.
  Performs Eigenvalue Decomposition using Householder QR Factorization Matrix must be symmetrical.
EigenvalueDecomposition(Matrix) - Constructor for class weka.core.matrix.EigenvalueDecomposition
  Check for symmetry, then construct the eigenvalue decomposition
element(int) - Method in class weka.core.neighboursearch.covertrees.Stack
  Returns the ith element in the stack.
elementAt(int) - Method in class weka.core.FastVector
  Deprecated.
  Returns the element at the given position.
elementAt(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Returns the component at the specified index.
elements() - Method in class weka.core.FastVector
  Deprecated.
  Returns an enumeration of this vector.
elements(int) - Method in class weka.core.FastVector
  Deprecated.
  Returns an enumeration of this vector, skipping the element with the given index.
elements - Variable in class weka.core.neighboursearch.covertrees.Stack
  The elements inside the stack.
elements() - Method in class weka.core.Stopwords
  Returns a sorted enumeration over all stored stopwords
eliminateColinearAttributesTipText() - Method in class weka.classifiers.functions.LinearRegression
  Returns the tip text for this property
EM - Class in weka.clusterers
  Simple EM (expectation maximisation) class.
  EM assigns a probability distribution to each instance which indicates the probability of it belonging to each of the clusters.
EM() - Constructor for class weka.clusterers.EM
  Constructor.
empty() - Method in class weka.core.Queue
  Checks if queue is empty.
empty() - Method in class weka.gui.scripting.Script
  Empties the document.
enable(Capabilities.Capability) - Method in class weka.core.Capabilities
  enables the given capability.
enable(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
  enables the given capability.
enableAll() - Method in class weka.core.Capabilities
  enables all attribute and class types (including dependencies)
enableAllAttributeDependencies() - Method in class weka.core.Capabilities
  enables all attribute type dependencies
enableAllAttributes() - Method in class weka.core.Capabilities
  enables all attribute types
enableAllClassDependencies() - Method in class weka.core.Capabilities
  enables all class type dependencies
enableAllClasses() - Method in class weka.core.Capabilities
  enables all class types
enableDependency(Capabilities.Capability) - Method in class weka.core.Capabilities
  enables the dependency flag for the given capability Enabling NOMINAL_ATTRIBUTES also enables BINARY_ATTRIBUTES, UNARY_ATTRIBUTES and EMPTY_NOMINAL_ATTRIBUTES.
enableNot(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
  enables the given "not to have" capability.
enclosureCharactersTipText() - Method in class weka.core.converters.CSVLoader
  Returns the tip text for this property.
entropicAutoBlendTipText() - Method in class weka.classifiers.lazy.KStar
  Returns the tip text for this property
ENTROPY - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
entropy(double[]) - Static method in class weka.core.ContingencyTables
  Computes the entropy of the given array.
EntropyBasedSplitCrit - Class in weka.classifiers.trees.j48
  "Abstract" class for computing splitting criteria based on the entropy of a class distribution.
EntropyBasedSplitCrit() - Constructor for class weka.classifiers.trees.j48.EntropyBasedSplitCrit
entropyConditionedOnColumns(double[][]) - Static method in class weka.core.ContingencyTables
  Computes conditional entropy of the rows given the columns.
entropyConditionedOnRows(double[][]) - Static method in class weka.core.ContingencyTables
  Computes conditional entropy of the columns given the rows.
entropyConditionedOnRows(double[][], double[][], double) - Static method in class weka.core.ContingencyTables
  Computes conditional entropy of the columns given the rows of the test matrix with respect to the train matrix.
entropyGain() - Method in class weka.classifiers.trees.lmt.ResidualSplit
  Computes entropy gain for current split.
entropyOverColumns(double[][]) - Static method in class weka.core.ContingencyTables
  Computes the columns' entropy for the given contingency table.
entropyOverRows(double[][]) - Static method in class weka.core.ContingencyTables
  Computes the rows' entropy for the given contingency table.
EntropySplitCrit - Class in weka.classifiers.trees.j48
  Class for computing the entropy for a given distribution.
EntropySplitCrit() - Constructor for class weka.classifiers.trees.j48.EntropySplitCrit
enumerateAttributes() - Method in class weka.core.AbstractInstance
  Returns an enumeration of all the attributes.
enumerateAttributes() - Method in interface weka.core.Instance
  Returns an enumeration of all the attributes.
enumerateAttributes() - Method in class weka.core.Instances
  Returns an enumeration of all the attributes.
enumerateColNamesTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
enumerateInstances() - Method in class weka.core.Instances
  Returns an enumeration of all instances in the dataset.
enumerateMeasures() - Method in class weka.classifiers.bayes.BayesNet
  Returns an enumeration of the measure names.
enumerateMeasures() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.functions.SMOreg
  Returns an enumeration of the measure names.
enumerateMeasures() - Method in class weka.classifiers.lazy.IBk
  Returns an enumeration of the additional measure names produced by the neighbour search algorithm, plus the chosen K in case cross-validation is enabled.
enumerateMeasures() - Method in class weka.classifiers.lazy.LWL
  Returns an enumeration of the additional measure names produced by the neighbour search algorithm.
enumerateMeasures() - Method in class weka.classifiers.meta.AdditiveRegression
  Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.meta.Bagging
  Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.misc.InputMappedClassifier
  Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.rules.DecisionTable
  Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.rules.JRip
  Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.rules.PART
  Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.trees.J48
  Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.trees.LMT
  Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.trees.m5.M5Base
  Returns an enumeration of the additional measure names
enumerateMeasures() - Method in class weka.classifiers.trees.RandomForest
  Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.classifiers.trees.REPTree
  Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in interface weka.core.AdditionalMeasureProducer
  Returns an enumeration of the measure names.
enumerateMeasures() - Method in class weka.core.neighboursearch.BallTree
  Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.core.neighboursearch.CoverTree
  Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.core.neighboursearch.KDTree
  Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns an enumeration of the additional measure names.
enumerateMeasures() - Method in class weka.experiment.AveragingResultProducer
  Returns an enumeration of any additional measure names that might be in the result producer
enumerateMeasures() - Method in class weka.experiment.ClassifierSplitEvaluator
  Returns an enumeration of any additional measure names that might be in the classifier
enumerateMeasures() - Method in class weka.experiment.CrossValidationResultProducer
  Returns an enumeration of any additional measure names that might be in the SplitEvaluator
enumerateMeasures() - Method in class weka.experiment.DatabaseResultProducer
  Returns an enumeration of any additional measure names that might be in the result producer
enumerateMeasures() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Returns an enumeration of any additional measure names that might be in the classifier
enumerateMeasures() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns an enumeration of any additional measure names that might be in the SplitEvaluator.
enumerateMeasures() - Method in class weka.experiment.LearningRateResultProducer
  Returns an enumeration of any additional measure names that might be in the result producer
enumerateMeasures() - Method in class weka.experiment.RandomSplitResultProducer
  Returns an enumeration of any additional measure names that might be in the SplitEvaluator
enumerateMeasures() - Method in class weka.experiment.RegressionSplitEvaluator
  Returns an enumeration of any additional measure names that might be in the classifier
enumerateRequests() - Method in class weka.gui.beans.Associator
  Return an enumeration of requests that can be made by the user
enumerateRequests() - Method in class weka.gui.beans.AttributeSummarizer
  Return an enumeration of actions that the user can ask this bean to perform
enumerateRequests() - Method in class weka.gui.beans.Classifier
  Return an enumeration of requests that can be made by the user
enumerateRequests() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Return an enumeration of user activated requests for this bean
enumerateRequests() - Method in class weka.gui.beans.Clusterer
  Return an enumeration of requests that can be made by the user
enumerateRequests() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
  Return an enumeration of user activated requests for this bean
enumerateRequests() - Method in class weka.gui.beans.CostBenefitAnalysis
enumerateRequests() - Method in class weka.gui.beans.CrossValidationFoldMaker
  Return an enumeration of user requests
enumerateRequests() - Method in class weka.gui.beans.DataVisualizer
  Describe `enumerateRequests` method here.
enumerateRequests() - Method in class weka.gui.beans.Filter
  Return an enumeration of user requests
enumerateRequests() - Method in class weka.gui.beans.GraphViewer
  Return an enumeration of user requests
enumerateRequests() - Method in class weka.gui.beans.ImageViewer
enumerateRequests() - Method in class weka.gui.beans.MetaBean
  Return an enumeration of requests that can be made by the user
enumerateRequests() - Method in class weka.gui.beans.ModelPerformanceChart
  Describe `enumerateRequests` method here.
enumerateRequests() - Method in class weka.gui.beans.StripChart
  Describe `enumerateRequests` method here.
enumerateRequests() - Method in class weka.gui.beans.TextViewer
  Get a list of user requests
enumerateRequests() - Method in class weka.gui.beans.TrainTestSplitMaker
  Get list of user requests
enumerateRequests() - Method in interface weka.gui.beans.UserRequestAcceptor
  Get a list of performable requests
enumerateRowNamesTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
enumerateValues() - Method in class weka.core.Attribute
  Returns an enumeration of all the attribute's values if the attribute is nominal, string, or relation-valued, null otherwise.
enumToVector(Enumeration<Option>) - Method in class weka.datagenerators.DataGenerator
  Convenience method.
Environment - Class in weka.core
  This class encapsulates a map of all environment and java system properties.
Environment() - Constructor for class weka.core.Environment
EnvironmentField - Class in weka.gui.beans
  Widget that displays a label and a combo box for selecting environment variables.
EnvironmentField() - Constructor for class weka.gui.beans.EnvironmentField
  Construct an EnvironmentField with no label.
EnvironmentField(Environment) - Constructor for class weka.gui.beans.EnvironmentField
  Construct an EnvironmentField with no label.
EnvironmentField(String, Environment) - Constructor for class weka.gui.beans.EnvironmentField
  Constructor.
EnvironmentField(String) - Constructor for class weka.gui.beans.EnvironmentField
  Constructor.
EnvironmentField.WideComboBox - Class in weka.gui.beans
  Combo box that allows the drop-down list to be wider than the component itself.
EnvironmentField.WideComboBox() - Constructor for class weka.gui.beans.EnvironmentField.WideComboBox
EnvironmentField.WideComboBox(Object[]) - Constructor for class weka.gui.beans.EnvironmentField.WideComboBox
EnvironmentField.WideComboBox(Vector<Object>) - Constructor for class weka.gui.beans.EnvironmentField.WideComboBox
EnvironmentField.WideComboBox(ComboBoxModel) - Constructor for class weka.gui.beans.EnvironmentField.WideComboBox
EnvironmentHandler - Interface in weka.core
  Interface for something that can utilize environment variables.
EOF - Static variable in interface weka.core.json.sym
EOF - Static variable in interface weka.core.mathematicalexpression.sym
EOF - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
EOF_sym() - Method in class weka.core.json.Parser
  `EOF` Symbol index.
EOF_sym() - Method in class weka.core.mathematicalexpression.Parser
  `EOF` Symbol index.
EOF_sym() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  `EOF` Symbol index.
EPANECHNIKOV - Static variable in class weka.classifiers.lazy.LWL
epochsTipText() - Method in class weka.classifiers.functions.SGD
  Returns the tip text for this property
epochsTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
EPSILON - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
EPSILON_INSENSITIVE - Static variable in class weka.classifiers.functions.SGD
  The epsilon insensitive loss function
epsilonParameterTipText() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  Returns the tip text for this property
epsilonTipText() - Method in class weka.classifiers.functions.SGD
  Returns the tip text for this property
epsilonTipText() - Method in class weka.classifiers.functions.SMO
  Returns the tip text for this property
epsilonTipText() - Method in class weka.classifiers.functions.supportVector.RegSMO
  Returns the tip text for this property
EQ - Static variable in interface weka.core.mathematicalexpression.sym
eq(double, double) - Static method in class weka.core.Utils
  Tests if a is equal to b.
EQ - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
equalCondset(Object) - Method in class weka.associations.LabeledItemSet
  Compares two item sets
equalHeaders(Instance) - Method in class weka.core.AbstractInstance
  Tests if the headers of two instances are equivalent.
equalHeaders(Instance) - Method in interface weka.core.Instance
  Tests if the headers of two instances are equivalent.
equalHeaders(Instances) - Method in class weka.core.Instances
  Checks if two headers are equivalent.
equalHeadersMsg(Instance) - Method in class weka.core.AbstractInstance
  Checks if the headers of two instances are equivalent.
equalHeadersMsg(Instance) - Method in interface weka.core.Instance
  Checks if the headers of two instances are equivalent.
equalHeadersMsg(Instances) - Method in class weka.core.Instances
  Checks if two headers are equivalent.
equals(Object) - Method in class weka.associations.AssociationRule
  Return true if this rule is equal to the supplied one.
equals(Object) - Method in class weka.associations.AssociatorEvaluation
  Tests whether the current evaluation object is equal to another evaluation object
equals(Object) - Method in class weka.associations.BinaryItem
  Equals.
equals(Object) - Method in class weka.associations.Item
  Equals.
equals(Object) - Method in class weka.associations.ItemSet
  Tests if two item sets are equal.
equals(Object) - Method in class weka.associations.LabeledItemSet
  Tests if two item sets are equal.
equals(Object) - Method in class weka.associations.NominalItem
  Equals.
equals(Object) - Method in class weka.associations.NumericItem
  Equals.
equals(Object) - Method in class weka.classifiers.Evaluation
  Tests whether the current evaluation object is equal to another evaluation object.
equals(Object) - Method in class weka.classifiers.evaluation.Evaluation
  Tests whether the current evaluation object is equal to another evaluation object.
equals(Object) - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
  Tests whether the current evaluation object is equal to another evaluation object
equals(Object) - Method in class weka.classifiers.rules.DecisionTableHashKey
  Tests if two instances are equal
equals(Object) - Method in class weka.clusterers.ClusterEvaluation
  Tests whether the current evaluation object is equal to another evaluation object
equals(Object) - Method in class weka.core.Attribute
  Tests if given attribute is equal to this attribute.
equals(Object) - Method in class weka.core.AttributeLocator
  Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class weka.core.ClassDiscovery.StringCompare
  Indicates whether some other object is "equal to" this Comparator.
equals(Object) - Method in class weka.core.SelectedTag
  Returns true if this SelectedTag equals another object
equals(Object) - Method in class weka.core.SerializedObject
equals(Object) - Method in class weka.core.Trie
  Compares the specified object with this collection for equality.
equals(Object) - Method in class weka.core.Trie.TrieNode
  Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class weka.core.Version
  whether the given version string is equal to this version
equals(Object) - Method in class weka.estimators.Estimator
  Tests whether the current estimation object is equal to another estimation object
equals(Object) - Method in class weka.gui.graphvisualizer.GraphEdge
equals(Object) - Method in class weka.gui.graphvisualizer.GraphNode
  Returns true if passed in argument is an instance of GraphNode and is equal to this node.
equals(Object) - Method in class weka.gui.SortedTableModel.SortContainer
  Indicates whether some other object is "equal to" this one.
equalsMsg(Object) - Method in class weka.core.Attribute
  Tests if given attribute is equal to this attribute.
equalTo(Test) - Method in class weka.datagenerators.Test
  Compares the test with the test that is given as parameter.
errms(StreamTokenizer, String) - Static method in class weka.core.converters.ConverterUtils
  Throws error message with line number and last token read.
errms(StreamTokenizer, String) - Static method in class weka.core.converters.StreamTokenizerUtils
  Throws error message with line number and last token read.
error() - Method in class weka.classifiers.evaluation.NumericPrediction
  Calculates the prediction error.
error - Static variable in interface weka.core.json.sym
error - Static variable in interface weka.core.mathematicalexpression.sym
error - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
ERROR_SHAPE - Static variable in class weka.gui.visualize.Plot2D
error_sym() - Method in class weka.core.json.Parser
  `error` Symbol index.
error_sym() - Method in class weka.core.mathematicalexpression.Parser
  `error` Symbol index.
error_sym() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  `error` Symbol index.
ErrorBasedMeritEvaluator - Interface in weka.attributeSelection
  Interface for evaluators that calculate the "merit" of attributes/subsets as the error of a learning scheme
errorFunction(double) - Static method in class weka.core.Statistics
  Returns the error function of the normal distribution.
errorFunctionComplemented(double) - Static method in class weka.core.Statistics
  Returns the complementary Error function of the normal distribution.
errorOnProbabilitiesTipText() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns the tip text for this property
errorOnProbabilitiesTipText() - Method in class weka.classifiers.trees.LMT
  Returns the tip text for this property
errorPlotPointSizeProportionalToMarginTipText() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Get the tip text for this property.
errorRate() - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Returns the estimated error rate.
errorRate() - Method in class weka.classifiers.Evaluation
  Returns the estimated error rate or the root mean squared error (if the class is numeric).
errorRate() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the estimated error rate or the root mean squared error (if the class is numeric).
errorValue(NeuralNode) - Method in class weka.classifiers.functions.neural.LinearUnit
  This function calculates what the error value should be.
errorValue(boolean) - Method in class weka.classifiers.functions.neural.NeuralConnection
  Call this to get the error value of this unit.
errorValue(NeuralNode) - Method in interface weka.classifiers.functions.neural.NeuralMethod
  This function calculates what the error value should be.
errorValue(boolean) - Method in class weka.classifiers.functions.neural.NeuralNode
  Call this to get the error value of this unit.
errorValue(NeuralNode) - Method in class weka.classifiers.functions.neural.SigmoidUnit
  This function calculates what the error value should be.
ErrorVisualizePlugin - Interface in weka.gui.visualize.plugins
  Interface implemented by classes loaded dynamically to visualize classifier errors in the explorer.
escapeQuote(String) - Method in class weka.gui.scripting.SyntaxDocument
  Escapes the quote delimiter.
establishCacheIfNeeded(PrintStream...) - Static method in class weka.core.WekaPackageManager
  Establish the local copy of the package meta data if needed
estimate(double[][], double[]) - Method in interface weka.estimators.MultivariateEstimator
  Fits the value to the density estimator.
estimate(double[][], double[]) - Method in class weka.estimators.MultivariateGaussianEstimator
estimateCPTs() - Method in class weka.classifiers.bayes.BayesNet
  estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
estimateCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
  estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
estimateCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
  estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
estimateCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
  estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
estimateCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
  estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
Estimator - Class in weka.estimators
  Abstract class for all estimators.
Estimator() - Constructor for class weka.estimators.Estimator
estimatorTipText() - Method in class weka.classifiers.bayes.BayesNet
  This will return a string describing the BayesNetEstimator.
estimatorTipText() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns the tip text for this property
EstimatorUtils - Class in weka.estimators
  Contains static utility functions for Estimators.
EstimatorUtils() - Constructor for class weka.estimators.EstimatorUtils
ETable - Class in weka.gui
  A better-looking table than JTable.
ETable() - Constructor for class weka.gui.ETable
Euclidean - Class in weka.core.pmml.jaxbbindings
  Java class for euclidean element declaration.
Euclidean() - Constructor for class weka.core.pmml.jaxbbindings.Euclidean
EuclideanDistance - Class in weka.core
  Implementing Euclidean distance (or similarity) function.
  One object defines not one distance but the data model in which the distances between objects of that data model can be computed.
  Attention: For efficiency reasons the use of consistency checks (like are the data models of the two instances exactly the same), is low.
  For more information, see:
  Wikipedia.
EuclideanDistance() - Constructor for class weka.core.EuclideanDistance
  Constructs an Euclidean Distance object, Instances must be still set.
EuclideanDistance(Instances) - Constructor for class weka.core.EuclideanDistance
  Constructs an Euclidean Distance object and automatically initializes the ranges.
eval(int, int, Instance) - Method in class weka.classifiers.functions.supportVector.CachedKernel
  Implements the abstract function of Kernel using the cache.
eval(int, int, Instance) - Method in class weka.classifiers.functions.supportVector.Kernel
  Computes the result of the kernel function for two instances.
eval(int, int, Instance) - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
  Computes the result of the kernel function for two instances.
eval(int, int, Instance) - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
eval(int, int, Instance) - Method in class weka.classifiers.functions.supportVector.StringKernel
  Computes the result of the kernel function for two instances.
EVAL_ACCURACY - Static variable in class weka.attributeSelection.WrapperSubsetEval
EVAL_ACCURACY - Static variable in class weka.classifiers.rules.DecisionTable
EVAL_AUC - Static variable in class weka.attributeSelection.WrapperSubsetEval
EVAL_AUC - Static variable in class weka.classifiers.rules.DecisionTable
EVAL_AUPRC - Static variable in class weka.attributeSelection.WrapperSubsetEval
EVAL_DEFAULT - Static variable in class weka.attributeSelection.WrapperSubsetEval
EVAL_DEFAULT - Static variable in class weka.classifiers.rules.DecisionTable
  default is accuracy for discrete class and RMSE for numeric class
EVAL_FMEASURE - Static variable in class weka.attributeSelection.WrapperSubsetEval
EVAL_MAE - Static variable in class weka.attributeSelection.WrapperSubsetEval
EVAL_MAE - Static variable in class weka.classifiers.rules.DecisionTable
EVAL_RMSE - Static variable in class weka.attributeSelection.WrapperSubsetEval
EVAL_RMSE - Static variable in class weka.classifiers.rules.DecisionTable
evalBoolean(String) - Method in class weka.core.xml.XMLDocument
  Evaluates and returns the boolean result of the XPath expression.
evalDouble(String) - Method in class weka.core.xml.XMLDocument
  Evaluates and returns the double result of the XPath expression.
evalString(String) - Method in class weka.core.xml.XMLDocument
  Evaluates and returns the boolean result of the XPath expression.
evaluate(String, String[]) - Static method in class weka.associations.AssociatorEvaluation
  Evaluates an associator with the options given in an array of strings.
evaluate(Associator, String[]) - Static method in class weka.associations.AssociatorEvaluation
  Evaluates the associator with the given commandline options and returns the evaluation string.
evaluate(Associator, Instances) - Method in class weka.associations.AssociatorEvaluation
  Evaluates the associator with the given commandline options and returns the evaluation string.
evaluate(Kernel, String[]) - Static method in class weka.classifiers.functions.supportVector.KernelEvaluation
  Evaluates the Kernel with the given commandline options and returns the evaluation string.
evaluate(String, String[]) - Static method in class weka.classifiers.functions.supportVector.KernelEvaluation
  Evaluates a kernel with the options given in an array of strings.
evaluate(Kernel, Instances) - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
  Evaluates the Kernel with the given commandline options and returns the evaluation string.
evaluate(String, HashMap<String, Double>) - Static method in class weka.core.MathematicalExpression
  Parses and evaluates the given expression.
evaluateAttribute(int) - Method in interface weka.attributeSelection.AttributeEvaluator
  evaluates an individual attribute
evaluateAttribute(int) - Method in class weka.attributeSelection.AttributeSetEvaluator
  evaluates an individual attribute
evaluateAttribute(int[], int[]) - Method in class weka.attributeSelection.AttributeSetEvaluator
  Evaluates a set of attributes
evaluateAttribute(int) - Method in class weka.attributeSelection.CorrelationAttributeEval
  Evaluates an individual attribute by measuring the correlation (Pearson's) between it and the class.
evaluateAttribute(int) - Method in class weka.attributeSelection.GainRatioAttributeEval
  evaluates an individual attribute by measuring the gain ratio of the class given the attribute.
evaluateAttribute(int) - Method in class weka.attributeSelection.InfoGainAttributeEval
  evaluates an individual attribute by measuring the amount of information gained about the class given the attribute.
evaluateAttribute(int) - Method in class weka.attributeSelection.OneRAttributeEval
  evaluates an individual attribute by measuring the amount of information gained about the class given the attribute.
evaluateAttribute(int) - Method in class weka.attributeSelection.PrincipalComponents
  Evaluates the merit of a transformed attribute.
evaluateAttribute(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
  Evaluates an individual attribute using ReliefF's instance based approach.
evaluateAttribute(int) - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  evaluates an individual attribute by measuring the symmetrical uncertainty between it and the class.
evaluateClusterer(Instances) - Method in class weka.clusterers.ClusterEvaluation
  Evaluate the clusterer on a set of instances.
evaluateClusterer(Instances, String) - Method in class weka.clusterers.ClusterEvaluation
  Evaluate the clusterer on a set of instances.
evaluateClusterer(Instances, String, boolean) - Method in class weka.clusterers.ClusterEvaluation
  Evaluate the clusterer on a set of instances.
evaluateClusterer(Clusterer, String[]) - Static method in class weka.clusterers.ClusterEvaluation
  Evaluates a clusterer with the options given in an array of strings.
evaluateExpression(Instance) - Method in class weka.core.AttributeExpression
  Evaluate the expression using the supplied Instance.
evaluateExpression(double[]) - Method in class weka.core.AttributeExpression
  Evaluate the expression using the supplied array of attribute values.
evaluateModel(String, String[]) - Static method in class weka.classifiers.Evaluation
  Evaluates a classifier with the options given in an array of strings.
evaluateModel(Classifier, String[]) - Static method in class weka.classifiers.Evaluation
  Evaluates a classifier with the options given in an array of strings.
evaluateModel(Classifier, Instances, Object...) - Method in class weka.classifiers.Evaluation
  Evaluates the classifier on a given set of instances.
evaluateModel(String, String[]) - Static method in class weka.classifiers.evaluation.Evaluation
  Evaluates a classifier with the options given in an array of strings.
evaluateModel(Classifier, String[]) - Static method in class weka.classifiers.evaluation.Evaluation
  Evaluates a classifier with the options given in an array of strings.
evaluateModel(Classifier, Instances, Object...) - Method in class weka.classifiers.evaluation.Evaluation
  Evaluates the classifier on a given set of instances.
evaluateModelOnce(Classifier, Instance) - Method in class weka.classifiers.Evaluation
  Evaluates the classifier on a single instance.
evaluateModelOnce(double[], Instance) - Method in class weka.classifiers.Evaluation
  Evaluates the supplied distribution on a single instance.
evaluateModelOnce(double, Instance) - Method in class weka.classifiers.Evaluation
  Evaluates the supplied prediction on a single instance.
evaluateModelOnce(Classifier, Instance) - Method in class weka.classifiers.evaluation.Evaluation
  Evaluates the classifier on a single instance.
evaluateModelOnce(double[], Instance) - Method in class weka.classifiers.evaluation.Evaluation
  Evaluates the supplied distribution on a single instance.
evaluateModelOnce(double, Instance) - Method in class weka.classifiers.evaluation.Evaluation
  Evaluates the supplied prediction on a single instance.
evaluateModelOnceAndRecordPrediction(Classifier, Instance) - Method in class weka.classifiers.Evaluation
  Evaluates the classifier on a single instance and records the prediction.
evaluateModelOnceAndRecordPrediction(double[], Instance) - Method in class weka.classifiers.Evaluation
  Evaluates the supplied distribution on a single instance.
evaluateModelOnceAndRecordPrediction(Classifier, Instance) - Method in class weka.classifiers.evaluation.Evaluation
  Evaluates the classifier on a single instance and records the prediction.
evaluateModelOnceAndRecordPrediction(double[], Instance) - Method in class weka.classifiers.evaluation.Evaluation
  Evaluates the supplied distribution on a single instance.
evaluateSplit(Map<String, WeightMass>, List<Map<String, WeightMass>>) - Method in class weka.classifiers.trees.ht.GiniSplitMetric
evaluateSplit(Map<String, WeightMass>, List<Map<String, WeightMass>>) - Method in class weka.classifiers.trees.ht.InfoGainSplitMetric
evaluateSplit(Map<String, WeightMass>, List<Map<String, WeightMass>>) - Method in class weka.classifiers.trees.ht.SplitMetric
  Evaluate the merit of a split
evaluateSubset(BitSet) - Method in class weka.attributeSelection.CfsSubsetEval
  evaluates a subset of attributes
evaluateSubset(BitSet, Instances) - Method in class weka.attributeSelection.HoldOutSubsetEvaluator
  Evaluates a subset of attributes with respect to a set of instances.
evaluateSubset(BitSet, Instance, boolean) - Method in class weka.attributeSelection.HoldOutSubsetEvaluator
  Evaluates a subset of attributes with respect to a single instance.
evaluateSubset(BitSet) - Method in interface weka.attributeSelection.SubsetEvaluator
  evaluates a subset of attributes
evaluateSubset(BitSet) - Method in class weka.attributeSelection.WrapperSubsetEval
  Evaluates a subset of attributes
Evaluation - Class in weka.classifiers
  Class for evaluating machine learning models.
Evaluation(Instances) - Constructor for class weka.classifiers.Evaluation
Evaluation(Instances, CostMatrix) - Constructor for class weka.classifiers.Evaluation
Evaluation - Class in weka.classifiers.evaluation
  Class for evaluating machine learning models.
Evaluation(Instances) - Constructor for class weka.classifiers.evaluation.Evaluation
  Initializes all the counters for the evaluation.
Evaluation(Instances, CostMatrix) - Constructor for class weka.classifiers.evaluation.Evaluation
  Initializes all the counters for the evaluation and also takes a cost matrix as parameter.
evaluationForSingleInstance(double[], Instance, boolean) - Method in class weka.classifiers.evaluation.Evaluation
  Evaluates the supplied distribution on a single instance.
evaluationForSingleInstance(double[], Instance, boolean) - Method in class weka.classifiers.Evaluation
  Evaluates the supplied distribution on a single instance.
evaluationMeasureTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
  Returns the tip text for this property
evaluationMeasureTipText() - Method in class weka.classifiers.rules.DecisionTable
  Returns the tip text for this property
EvaluationMetricHelper - Class in weka.classifiers.evaluation
  Helper routines for extracting metric values from built-in and plugin evaluation metrics.
EvaluationMetricHelper(Evaluation) - Constructor for class weka.classifiers.evaluation.EvaluationMetricHelper
  Construct a new EvaluationMetricHelper
EvaluationMetricSelectionDialog - Class in weka.gui
  A GUI dialog for selecting classification/regression evaluation metrics to be output.
EvaluationMetricSelectionDialog(Dialog, List<String>) - Constructor for class weka.gui.EvaluationMetricSelectionDialog
  Constructor
EvaluationMetricSelectionDialog(Window, List<String>) - Constructor for class weka.gui.EvaluationMetricSelectionDialog
  Constructor
EvaluationMetricSelectionDialog(Frame, List<String>) - Constructor for class weka.gui.EvaluationMetricSelectionDialog
  Constructor
evaluationMetricsToOutputTipText() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Get the tip text for this property.
evaluationMetricTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the tip text for this property
EvaluationUtils - Class in weka.classifiers.evaluation
  Contains utility functions for generating lists of predictions in various manners.
EvaluationUtils() - Constructor for class weka.classifiers.evaluation.EvaluationUtils
evaluatorTipText() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Returns the tip text for this property
evaluatorTipText() - Method in class weka.filters.supervised.attribute.AttributeSelection
  Returns the tip text for this property
evalUsingTrainingDataTipText() - Method in class weka.attributeSelection.OneRAttributeEval
  Returns a string for this option suitable for display in the gui as a tip text
EventConstraints - Interface in weka.gui.beans
  Interface for objects that want to be able to specify at any given time whether their current configuration allows a particular event to be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Appender
  Returns true if, at the current time, the named event could be generated.
eventGeneratable(EventSetDescriptor) - Method in class weka.gui.beans.Associator
  Returns true, if at the current time, the event described by the supplied event descriptor could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Associator
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.ClassAssigner
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(EventSetDescriptor) - Method in class weka.gui.beans.Classifier
  Returns true, if at the current time, the event described by the supplied event descriptor could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Classifier
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.ClassValuePicker
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(EventSetDescriptor) - Method in class weka.gui.beans.Clusterer
  Returns true, if at the current time, the event described by the supplied event descriptor could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Clusterer
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.CrossValidationFoldMaker
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.DataVisualizer
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in interface weka.gui.beans.EventConstraints
  Returns true if, at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Filter
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.FlowByExpression
eventGeneratable(String) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Returns true if, at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Join
eventGeneratable(String) - Method in class weka.gui.beans.Loader
  Returns true if the named event can be generated at this time
eventGeneratable(EventSetDescriptor) - Method in class weka.gui.beans.MetaBean
  Returns true, if at the current time, the event described by the supplied event descriptor could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.MetaBean
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.ModelPerformanceChart
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.PredictionAppender
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.Sorter
  Returns true if, at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.SubstringLabeler
  Returns true if, at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.SubstringReplacer
  Returns true if, at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.TestSetMaker
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.TextViewer
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.TrainingSetMaker
  Returns true, if at the current time, the named event could be generated.
eventGeneratable(String) - Method in class weka.gui.beans.TrainTestSplitMaker
  Returns true, if at the current time, the named event could be generated.
EventValues - Class in weka.core.pmml.jaxbbindings
  Java class for EventValues element declaration.
EventValues() - Constructor for class weka.core.pmml.jaxbbindings.EventValues
execute() - Method in class weka.classifiers.CheckSource
  performs the comparison test
execute(String) - Method in class weka.experiment.DatabaseUtils
  Executes a SQL query.
execute() - Method in class weka.experiment.RemoteExperimentSubTask
  Run the experiment
execute() - Method in interface weka.experiment.Task
  Execute this task.
execute() - Method in class weka.filters.CheckSource
  performs the comparison test
execute() - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Perform the sub task
execute() - Method in class weka.gui.explorer.DataGeneratorPanel
  generates the instances, returns TRUE if successful
execute() - Method in class weka.gui.GenericPropertiesCreator
  generates the props-file for the GenericObjectEditor and stores it
execute(boolean) - Method in class weka.gui.GenericPropertiesCreator
  generates the props-file for the GenericObjectEditor
execute(boolean, boolean) - Method in class weka.gui.GenericPropertiesCreator
  generates the props-file for the GenericObjectEditor and stores it only if the the param `store` is TRUE.
execute() - Method in class weka.gui.sql.QueryPanel
  executes the current query.
executeTask(Task) - Method in interface weka.experiment.Compute
  Execute a task
executeTask(Task) - Method in class weka.experiment.RemoteEngine
  Takes a task object and queues it for execution
executionSlotsTipText() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Get the tip text for this property.
exists(TechnicalInformation.Field) - Method in class weka.core.TechnicalInformation
  returns TRUE if the field is stored and has a value different from the empty string.
EXP - Static variable in interface weka.core.mathematicalexpression.sym
EXP - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
EXP_INDEX_TABLE - Static variable in class weka.experiment.DatabaseUtils
  The name of the table containing the index to experiments.
EXP_RESULT_COL - Static variable in class weka.experiment.DatabaseUtils
  The name of the column containing the results table name.
EXP_RESULT_PREFIX - Static variable in class weka.experiment.DatabaseUtils
  The prefix for result table names.
EXP_SETUP_COL - Static variable in class weka.experiment.DatabaseUtils
  The name of the column containing the experiment setup (parameters).
EXP_TYPE_COL - Static variable in class weka.experiment.DatabaseUtils
  The name of the column containing the experiment type (ResultProducer).
expectedCosts(double[]) - Method in class weka.classifiers.CostMatrix
  Calculates the expected misclassification cost for each possible class value, given class probability estimates.
expectedCosts(double[], Instance) - Method in class weka.classifiers.CostMatrix
  Calculates the expected misclassification cost for each possible class value, given class probability estimates.
expectedResultsPerAverageTipText() - Method in class weka.experiment.AveragingResultProducer
  Returns the tip text for this property
Experiment - Class in weka.experiment
  Holds all the necessary configuration information for a standard type experiment.
Experiment() - Constructor for class weka.experiment.Experiment
Experimenter - Class in weka.gui.experiment
  The main class for the experiment environment.
Experimenter(boolean) - Constructor for class weka.gui.experiment.Experimenter
  Creates the experiment environment gui with no initial experiment
ExperimenterDefaults - Class in weka.gui.experiment
  This class offers get methods for the default Experimenter settings in the props file `weka/gui/experiment/Experimenter.props`.
ExperimenterDefaults() - Constructor for class weka.gui.experiment.ExperimenterDefaults
experimentIndexExists() - Method in class weka.experiment.DatabaseUtils
  Returns true if the experiment index exists.
ExplicitTestsetResultProducer - Class in weka.experiment
  Loads the external test set and calls the appropriate SplitEvaluator to generate some results.
  The filename of the test set is constructed as follows:
  <dir> + / + <prefix> + <relation-name> + <suffix>
  The relation-name can be modified by using the regular expression to replace the matching sub-string with a specified replacement string.
ExplicitTestsetResultProducer() - Constructor for class weka.experiment.ExplicitTestsetResultProducer
Explorer - Class in weka.gui.explorer
  The main class for the Weka explorer.
Explorer() - Constructor for class weka.gui.explorer.Explorer
  Creates the experiment environment gui with no initial experiment
Explorer.CapabilitiesFilterChangeEvent - Class in weka.gui.explorer
  This event can be fired in case the capabilities filter got changed
Explorer.CapabilitiesFilterChangeEvent(Object, Capabilities) - Constructor for class weka.gui.explorer.Explorer.CapabilitiesFilterChangeEvent
  Constructs a GOECapabilitiesFilterChangeEvent object.
Explorer.CapabilitiesFilterChangeListener - Interface in weka.gui.explorer
  Interface for classes that listen for filter changes.
Explorer.ExplorerPanel - Interface in weka.gui.explorer
  A common interface for panels to be displayed in the Explorer
Explorer.LogHandler - Interface in weka.gui.explorer
  A common interface for panels in the explorer that can handle logs
ExplorerDefaults - Class in weka.gui.explorer
  This class offers get methods for the default Explorer settings in the props file `weka/gui/explorer/Explorer.props`.
ExplorerDefaults() - Constructor for class weka.gui.explorer.ExplorerDefaults
ExponentialFormat - Class in weka.core.matrix
ExponentialFormat() - Constructor for class weka.core.matrix.ExponentialFormat
ExponentialFormat(int) - Constructor for class weka.core.matrix.ExponentialFormat
ExponentialFormat(int, boolean) - Constructor for class weka.core.matrix.ExponentialFormat
ExponentialFormat(int, int, boolean, boolean) - Constructor for class weka.core.matrix.ExponentialFormat
ExponentialSmoothing - Class in weka.core.pmml.jaxbbindings
  Java class for ExponentialSmoothing element declaration.
ExponentialSmoothing() - Constructor for class weka.core.pmml.jaxbbindings.ExponentialSmoothing
exponentTipText() - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Returns the tip text for this property
exponentTipText() - Method in class weka.classifiers.functions.VotedPerceptron
  Returns the tip text for this property
Expression - Class in weka.core.pmml
Expression(FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.Expression
Expression - Class in weka.datagenerators.classifiers.regression
  A data generator for generating y according to a given expression out of randomly generated x.
  E.g., the mexican hat can be generated like this:
  sin(abs(a1)) / abs(a1)
  In addition to this function, the amplitude can be changed and gaussian noise can be added.
Expression() - Constructor for class weka.datagenerators.classifiers.regression.Expression
  initializes the generator
expressionTipText() - Method in class weka.datagenerators.classifiers.regression.Expression
  Returns the tip text for this property
expressionTipText() - Method in class weka.filters.unsupervised.attribute.AddExpression
  Returns the tip text for this property
expressionTipText() - Method in class weka.filters.unsupervised.attribute.MathExpression
  Returns the tip text for this property
expressionTipText() - Method in class weka.filters.unsupervised.attribute.RemoveByName
  Returns the tip text for this property.
expressionTipText() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Returns the tip text for this property.
Extension - Class in weka.core.pmml.jaxbbindings
  Java class for Extension element declaration.
Extension() - Constructor for class weka.core.pmml.jaxbbindings.Extension
ExtensionFileFilter - Class in weka.gui
  Provides a file filter for FileChoosers that accepts or rejects files based on their extension.
ExtensionFileFilter(String, String) - Constructor for class weka.gui.ExtensionFileFilter
  Creates the ExtensionFileFilter
ExtensionFileFilter(String[], String) - Constructor for class weka.gui.ExtensionFileFilter
  Creates an ExtensionFileFilter that accepts files that have any of the extensions contained in the supplied array.
extraArcs(BayesNet) - Method in class weka.classifiers.bayes.net.BIFReader
  Count nr of exta arcs from other network compared to current network Note that an arc is not 'extra' if it is reversed.
extract(RevisionHandler) - Static method in class weka.core.RevisionUtils
  Extracts the revision string returned by the RevisionHandler.
extract(String) - Static method in class weka.core.RevisionUtils
  Extracts the revision string.
extremeValuesAsOutliersTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Returns the tip text for this property
extremeValuesFactorTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Returns the tip text for this property

## F

FactorList - Class in weka.core.pmml.jaxbbindings
  Java class for FactorList element declaration.
FactorList() - Constructor for class weka.core.pmml.jaxbbindings.FactorList
FAILED - Static variable in class weka.experiment.TaskStatusInfo
failed() - Method in class weka.gui.sql.event.ConnectionEvent
  whether an exception happened and is stored
failed() - Method in class weka.gui.sql.event.QueryExecuteEvent
  is TRUE in case the exception is not NULL, i.e.
FALLOUT_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: Fallout
FALSE - Static variable in interface weka.core.mathematicalexpression.sym
False - Class in weka.core.pmml.jaxbbindings
  Java class for False element declaration.
False() - Constructor for class weka.core.pmml.jaxbbindings.False
FALSE - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
FALSE_NEG_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: False Negatives
FALSE_POS_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: False Positives
falseNegativeRate(int) - Method in class weka.classifiers.evaluation.Evaluation
  Calculate the false negative rate with respect to a particular class.
falseNegativeRate(int) - Method in class weka.classifiers.Evaluation
  Calculate the false negative rate with respect to a particular class.
falsePositiveRate(int) - Method in class weka.classifiers.evaluation.Evaluation
  Calculate the false positive rate with respect to a particular class.
falsePositiveRate(int) - Method in class weka.classifiers.Evaluation
  Calculate the false positive rate with respect to a particular class.
FARTHEST_FIRST - Static variable in class weka.clusterers.SimpleKMeans
FarthestFirst - Class in weka.clusterers
  Cluster data using the FarthestFirst algorithm.
  For more information see:
  Hochbaum, Shmoys (1985).
FarthestFirst() - Constructor for class weka.clusterers.FarthestFirst
fastDistanceCalcTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property.
fastRegressionTipText() - Method in class weka.classifiers.trees.LMT
  Returns the tip text for this property
FastVector<E> - Class in weka.core
  Deprecated.
FastVector() - Constructor for class weka.core.FastVector
  Deprecated.
  Constructs an empty vector with initial capacity zero.
FastVector(int) - Constructor for class weka.core.FastVector
  Deprecated.
  Constructs a vector with the given capacity.
FieldColumnPair - Class in weka.core.pmml.jaxbbindings
  Java class for FieldColumnPair element declaration.
FieldColumnPair() - Constructor for class weka.core.pmml.jaxbbindings.FieldColumnPair
FieldMetaInfo - Class in weka.core.pmml
  Abstract superclass for various types of field meta data.
FieldMetaInfo(Element) - Constructor for class weka.core.pmml.FieldMetaInfo
  Construct a new FieldMetaInfo.
FieldMetaInfo.Interval - Class in weka.core.pmml
  Inner class for an Interval.
FieldMetaInfo.Interval.Closure - Enum in weka.core.pmml
  Enumerated type for the closure.
FieldMetaInfo.Optype - Enum in weka.core.pmml
  Enumerated type for the Optype
FieldMetaInfo.Value - Class in weka.core.pmml
  Inner class for Values
FieldMetaInfo.Value.Property - Enum in weka.core.pmml
  Enumerated type for the property.
FieldRef - Class in weka.core.pmml
  Class encapsulating a FieldRef Expression.
FieldRef(Element, FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.FieldRef
FieldRef - Class in weka.core.pmml.jaxbbindings
  Java class for FieldRef element declaration.
FieldRef() - Constructor for class weka.core.pmml.jaxbbindings.FieldRef
fields() - Method in class weka.core.TechnicalInformation
  returns an enumeration over all the stored fields
fieldSeparatorTipText() - Method in class weka.core.converters.CSVLoader
  Returns the tip text for this property.
fieldSeparatorTipText() - Method in class weka.core.converters.CSVSaver
  Returns the tip text for this property.
FIELDUSAGETYPE - Enum in weka.core.pmml.jaxbbindings
  Java class for FIELD-USAGE-TYPE.
FieldValue - Class in weka.core.pmml.jaxbbindings
  Java class for FieldValue element declaration.
FieldValue() - Constructor for class weka.core.pmml.jaxbbindings.FieldValue
FieldValueCount - Class in weka.core.pmml.jaxbbindings
  Java class for FieldValueCount element declaration.
FieldValueCount() - Constructor for class weka.core.pmml.jaxbbindings.FieldValueCount
FILE_EXTENSION - Static variable in class weka.classifiers.CostMatrix
  The deafult file extension for cost matrix files
FILE_EXTENSION - Static variable in class weka.core.converters.ArffLoader
  the file extension
FILE_EXTENSION - Static variable in class weka.core.converters.C45Loader
  the file extension
FILE_EXTENSION - Static variable in class weka.core.converters.CSVLoader
  the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.JSONLoader
  the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.LibSVMLoader
  the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.LibSVMSaver
  the file extension
FILE_EXTENSION - Static variable in class weka.core.converters.MatlabLoader
  the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.MatlabSaver
  the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.SerializedInstancesLoader
  the file extension
FILE_EXTENSION - Static variable in class weka.core.converters.SVMLightLoader
  the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.SVMLightSaver
  the file extension.
FILE_EXTENSION - Static variable in class weka.core.converters.XRFFLoader
  the file extension
FILE_EXTENSION - Static variable in class weka.core.Instances
  The filename extension that should be used for arff files
FILE_EXTENSION - Static variable in class weka.core.xml.KOML
  the extension for KOML files (including '.')
FILE_EXTENSION - Static variable in class weka.core.xml.XMLInstances
  The filename extension that should be used for xrff files
FILE_EXTENSION - Static variable in class weka.core.xml.XStream
  the extension for XStream files (including '.')
FILE_EXTENSION - Static variable in class weka.experiment.Experiment
  The filename extension that should be used for experiment files
FILE_EXTENSION - Static variable in class weka.gui.beans.Classifier
  the extension for serialized models (binary Java serialization)
FILE_EXTENSION - Static variable in class weka.gui.beans.KnowledgeFlowApp
  the extension for the serialized setups (Java serialization)
FILE_EXTENSION - Static variable in class weka.gui.beans.SerializedModelSaver
  the extension for serialized models (binary Java serialization)
FILE_EXTENSION_COMPRESSED - Static variable in class weka.core.converters.AbstractFileLoader
  the extension for compressed files
FILE_EXTENSION_COMPRESSED - Static variable in class weka.core.converters.ArffLoader
FILE_EXTENSION_COMPRESSED - Static variable in class weka.core.converters.JSONLoader
  the extension for compressed files.
FILE_EXTENSION_COMPRESSED - Static variable in class weka.core.converters.XRFFLoader
  the extension for compressed files
FILE_EXTENSION_XML - Static variable in class weka.gui.beans.KnowledgeFlowApp
  the extension for the serialized setups (Java serialization)
FileEditor - Class in weka.gui
  A PropertyEditor for File objects that lets the user select a file.
FileEditor() - Constructor for class weka.gui.FileEditor
FileEnvironmentField - Class in weka.gui.beans
  Widget that displays a label, editable combo box for selecting environment variables and a button for brining up a file browser.
FileEnvironmentField() - Constructor for class weka.gui.beans.FileEnvironmentField
  Constructor
FileEnvironmentField(Environment) - Constructor for class weka.gui.beans.FileEnvironmentField
  Constructor
FileEnvironmentField(String, Environment) - Constructor for class weka.gui.beans.FileEnvironmentField
FileEnvironmentField(String, Environment, int) - Constructor for class weka.gui.beans.FileEnvironmentField
  Constructor
FileEnvironmentField(String, Environment, int, boolean) - Constructor for class weka.gui.beans.FileEnvironmentField
  Constructor
FileEnvironmentField(String, int, boolean) - Constructor for class weka.gui.beans.FileEnvironmentField
  Constructor
FileLogger - Class in weka.core.logging
  A simple file logger, that just logs to a single file.
FileLogger() - Constructor for class weka.core.logging.FileLogger
filePrefix() - Method in class weka.core.converters.AbstractFileSaver
  Gets the file name prefix
filePrefix() - Method in class weka.core.converters.AbstractSaver
  Default implementation throws an IOException.
filePrefix() - Method in interface weka.core.converters.Saver
  Gets the file prefix This method is used in the KnowledgeFlow GUI.
FileScriptingPanel - Class in weka.gui.scripting
  Supports loading/saving of files.
FileScriptingPanel() - Constructor for class weka.gui.scripting.FileScriptingPanel
FileScriptingPanel.BasicAction - Class in weka.gui.scripting
  A slightly extended action class.
FileScriptingPanel.BasicAction(String, String, String, Character) - Constructor for class weka.gui.scripting.FileScriptingPanel.BasicAction
  Constructor for setting up an action.
FileSourcedConverter - Interface in weka.core.converters
  Interface to a loader/saver that loads/saves from a file source.
fill(Shape) - Method in class weka.gui.visualize.PostscriptGraphics
fill3DRect(int, int, int, int, boolean) - Method in class weka.gui.visualize.PostscriptGraphics
  Draw a filled rectangle with 3D effect in current pen color.
fillArc(int, int, int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
fillFrame(Component) - Method in interface weka.gui.MainMenuExtension
  Fills the frame with life, like adding components, window listeners, setting size, location, etc.
fillIn(int[], boolean[][]) - Method in class weka.classifiers.bayes.net.MarginCalculator
  Apply Tarjan and Yannakakis (1984) fill in algorithm for graph triangulation.
fillOval(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Draw a filled Oval in current pen color.
fillPolygon(int[], int[], int) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
fillPolygon(Polygon) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
fillRect(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Draw a filled rectangle in current pen color.
fillRoundRect(int, int, int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
fillWithMissingTipText() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Returns the tip text for this property
Filter - Class in weka.filters
  An abstract class for instance filters: objects that take instances as input, carry out some transformation on the instance and then output the instance.
Filter() - Constructor for class weka.filters.Filter
filter(String, Instances) - Static method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Filters the input dataset against the provided expression.
Filter - Class in weka.gui.beans
  A wrapper bean for Weka filters
Filter() - Constructor for class weka.gui.beans.Filter
FILTER_NONE - Static variable in class weka.classifiers.functions.GaussianProcesses
  no filter
FILTER_NONE - Static variable in class weka.classifiers.functions.SMO
  filter: No normalization/standardization
FILTER_NONE - Static variable in class weka.classifiers.functions.SMOreg
  The filter to apply to the training data: None
FILTER_NONE - Static variable in class weka.filters.unsupervised.attribute.StringToWordVector
  normalization: No normalization.
FILTER_NORMALIZE - Static variable in class weka.classifiers.functions.GaussianProcesses
  normalizes the data
FILTER_NORMALIZE - Static variable in class weka.classifiers.functions.SMO
  filter: Normalize training data
FILTER_NORMALIZE - Static variable in class weka.classifiers.functions.SMOreg
  The filter to apply to the training data: Normalzie
FILTER_NORMALIZE_ALL - Static variable in class weka.filters.unsupervised.attribute.StringToWordVector
  normalization: Normalize all data.
FILTER_NORMALIZE_TEST_ONLY - Static variable in class weka.filters.unsupervised.attribute.StringToWordVector
  normalization: Normalize test data only.
FILTER_STANDARDIZE - Static variable in class weka.classifiers.functions.GaussianProcesses
  standardizes the data
FILTER_STANDARDIZE - Static variable in class weka.classifiers.functions.SMO
  filter: Standardize training data
FILTER_STANDARDIZE - Static variable in class weka.classifiers.functions.SMOreg
  The filter to apply to the training data: Standardize
filterAfterFirstBatchTipText() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Returns the tip text for this property.
FilterBeanInfo - Class in weka.gui.beans
  Bean info class for the Filter bean
FilterBeanInfo() - Constructor for class weka.gui.beans.FilterBeanInfo
FilterCustomizer - Class in weka.gui.beans
  GUI customizer for the filter bean
FilterCustomizer() - Constructor for class weka.gui.beans.FilterCustomizer
FilteredAssociationRules - Class in weka.associations
  Class encapsulating a list of association rules and the preprocessing filter that was applied before they were generated.
FilteredAssociationRules(String, Filter, AssociationRules) - Constructor for class weka.associations.FilteredAssociationRules
  Constructs a new FilteredAssociationRules.
FilteredAssociationRules(Object, Filter, AssociationRules) - Constructor for class weka.associations.FilteredAssociationRules
  Constructs a new FilteredAssociationRules.
FilteredAssociationRules(Filter, AssociationRules) - Constructor for class weka.associations.FilteredAssociationRules
  Constructs a new FilteredAssociationRules.
FilteredAssociator - Class in weka.associations
  Class for running an arbitrary associator on data that has been passed through an arbitrary filter.
FilteredAssociator() - Constructor for class weka.associations.FilteredAssociator
  Default constructor.
FilteredClassifier - Class in weka.classifiers.meta
  Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
FilteredClassifier() - Constructor for class weka.classifiers.meta.FilteredClassifier
  Default constructor.
FilteredClusterer - Class in weka.clusterers
  Class for running an arbitrary clusterer on data that has been passed through an arbitrary filter.
FilteredClusterer() - Constructor for class weka.clusterers.FilteredClusterer
  Default constructor.
FilteredDistance - Class in weka.core
  Applies the given filter before calling the given distance function.
FilteredDistance() - Constructor for class weka.core.FilteredDistance
  Default constructor: need to set up Remove filter.
FilteredNeighbourSearch - Class in weka.core.neighboursearch
  Applies the given filter before calling the given neighbour search method.
FilteredNeighbourSearch() - Constructor for class weka.core.neighboursearch.FilteredNeighbourSearch
filterFile(Filter, String[]) - Static method in class weka.filters.Filter
  Method for testing filters.
filtersTipText() - Method in class weka.filters.MultiFilter
  Returns the tip text for this property
filtersTipText() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Returns the tip text for this property.
filterTipText() - Method in class weka.associations.FilteredAssociator
  Returns the tip text for this property
filterTipText() - Method in class weka.classifiers.meta.FilteredClassifier
  Returns the tip text for this property
filterTipText() - Method in class weka.clusterers.FilteredClusterer
  Returns the tip text for this property.
filterTipText() - Method in class weka.core.FilteredDistance
  Returns the tip text for this property
filterTipText() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Returns the tip text for this property
filterTypeTipText() - Method in class weka.classifiers.functions.GaussianProcesses
  Returns the tip text for this property
filterTypeTipText() - Method in class weka.classifiers.functions.SMO
  Returns the tip text for this property
filterTypeTipText() - Method in class weka.classifiers.functions.SMOreg
  Returns the tip text for this property
finalize() - Method in class weka.gui.sql.ResultSetTable
  frees up the memory
finalize() - Method in class weka.gui.sql.ResultSetTableModel
  frees up the memory.
finalize() - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
finalizeAggregation() - Method in class weka.classifiers.bayes.NaiveBayes
finalizeAggregation() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
finalizeAggregation() - Method in class weka.classifiers.evaluation.AggregateableEvaluation
finalizeAggregation() - Method in class weka.classifiers.functions.Logistic
  Call to complete the aggregation process.
finalizeAggregation() - Method in class weka.classifiers.functions.SGD
  Call to complete the aggregation process.
finalizeAggregation() - Method in class weka.classifiers.functions.SGDText
  Call to complete the aggregation process.
finalizeAggregation() - Method in class weka.classifiers.meta.Bagging
  Call to complete the aggregation process.
finalizeAggregation() - Method in class weka.classifiers.meta.Vote
  Call to complete the aggregation process.
finalizeAggregation() - Method in class weka.classifiers.trees.RandomForest
finalizeAggregation() - Method in interface weka.core.Aggregateable
  Call to complete the aggregation process.
finalizeAggregation() - Method in class weka.estimators.DiscreteEstimator
finalizeAggregation() - Method in class weka.estimators.KernelEstimator
finalizeAggregation() - Method in class weka.estimators.NormalEstimator
find(String) - Method in class weka.core.ClassCache
  Find all classes that have the supplied matchText String in their suffix.
find(String, String[]) - Static method in class weka.core.ClassDiscovery
  Checks the given packages for classes that inherited from the given class, in case it's a class, or implement this class, in case it's an interface.
find(String, String) - Static method in class weka.core.ClassDiscovery
  Checks the given package for classes that inherited from the given class, in case it's a class, or implement this class, in case it's an interface.
find(Class<?>, String[]) - Static method in class weka.core.ClassDiscovery
  Checks the given packages for classes that inherited from the given class, in case it's a class, or implement this class, in case it's an interface.
find(String) - Static method in class weka.core.ClassDiscovery
  Find all classes that have the supplied matchText String in their suffix.
find(Class<?>, String) - Static method in class weka.core.ClassDiscovery
  Checks the given package for classes that inherited from the given class, in case it's a class, or implement this class, in case it's an interface.
find() - Method in class weka.core.FindWithCapabilities
  returns a list with all the classnames that fit the criteria.
find(Object, PropertyPath.Path) - Static method in class weka.core.PropertyPath
  returns the property and object associated with the given path, null if a problem occurred.
find(String) - Method in class weka.core.Trie.TrieNode
  returns the node with the given suffix
findAllRulesForSupportLevelTipText() - Method in class weka.associations.FPGrowth
  Tip text for this property suitable for displaying in the GUI.
findArgmin(double[], double[][]) - Method in class weka.core.ConjugateGradientOptimization
  Main algorithm.
findArgmin(double[], double[][]) - Method in class weka.core.Optimization
  Main algorithm.
findBestLeaf(double[], RuleNode[]) - Method in class weka.classifiers.trees.m5.RuleNode
  Find the leaf with greatest coverage
findCentralTendencies(double[]) - Method in class weka.classifiers.BVDecomposeSegCVSub
  Finds the central tendency, given the classifications for an instance.
findInstance(String, Integer...) - Static method in class weka.gui.beans.BeanInstance
  Search for a named bean in the indexed flow
findInstance(Point, Integer...) - Static method in class weka.gui.beans.BeanInstance
  Looks for a bean (if any) whose bounds contain the supplied point
findInstances(Rectangle, Integer...) - Static method in class weka.gui.beans.BeanInstance
  Looks for all beans (if any) located within the supplied bounding box.
findMinDistance(Instances, int) - Static method in class weka.estimators.EstimatorUtils
  Find the minimum distance between values
findNodes(String) - Method in class weka.core.xml.XMLDocument
  Returns the nodes that the given xpath expression will find in the document.
findNumBinsTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
  Returns the tip text for this property
findNumBinsTipText() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Returns the tip text for this property
findPackages() - Static method in class weka.core.ClassDiscovery
  Lists all packages it can find in the classpath.
findReadMethod(Object, String) - Static method in class weka.core.xml.XMLSerializationMethodHandler
  returns the method with the given name that has the same signature as `readFromXML()` of the `XMLSerialiation` class.
findSchemeMatch(Class<?>, String, boolean, boolean) - Static method in class weka.Run
  Find a scheme that matches the supplied suffix
findSchemeMatch(String, boolean) - Static method in class weka.Run
  Find a scheme that matches the supplied suffix
findTipText() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Returns the tip text for this property.
FindWithCapabilities - Class in weka.core
  Locates all classes with certain capabilities.
FindWithCapabilities() - Constructor for class weka.core.FindWithCapabilities
findWriteMethod(Object, String) - Static method in class weka.core.xml.XMLSerializationMethodHandler
  returns the method with the given name that has the same signature as `writeToXML()` of the `XMLSerialiation` class.
FINE - Static variable in class weka.core.Debug
  the log level Fine
FINER - Static variable in class weka.core.Debug
  the log level Finer
FINEST - Static variable in class weka.core.Debug
  the log level Finest
finished() - Method in class weka.experiment.OutputZipper
  Closes the zip file.
FINISHED - Static variable in class weka.experiment.TaskStatusInfo
finished(Logger) - Method in class weka.gui.beans.StreamThroughput
  Register the end of measurement.
finished() - Method in class weka.gui.beans.StreamThroughput
  Register the end of measurement.
finished() - Method in class weka.gui.visualize.PostscriptGraphics
  Finalizes output file.
fireLayoutCompleteEvent(LayoutCompleteEvent) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
  Fires a LayoutCompleteEvent.
fireLayoutCompleteEvent(LayoutCompleteEvent) - Method in interface weka.gui.graphvisualizer.LayoutEngine
  This fires a LayoutCompleteEvent once a layout has been completed.
FIRST - Static variable in class weka.filters.unsupervised.attribute.ClassAssigner
  use the first attribute as class.
firstElement() - Method in class weka.core.FastVector
  Deprecated.
  Returns the first element of the vector.
firstElement() - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Returns the first component of this list.
firstInstance() - Method in class weka.core.Instances
  Returns the first instance in the set.
FirstOrder - Class in weka.filters.unsupervised.attribute
  This instance filter takes a range of N numeric attributes and replaces them with N-1 numeric attributes, the values of which are the difference between consecutive attribute values from the original instance.
FirstOrder() - Constructor for class weka.filters.unsupervised.attribute.FirstOrder
firstValueIndexTipText() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
firstValueIndexTipText() - Method in class weka.filters.unsupervised.attribute.SwapValues
fitToScreen() - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
  Fits the tree to the current screen size.
fitToScreen() - Method in class weka.gui.treevisualizer.TreeVisualizer
  Fits the tree to the current screen size.
FlexibleDecimalFormat - Class in weka.core.matrix
FlexibleDecimalFormat() - Constructor for class weka.core.matrix.FlexibleDecimalFormat
FlexibleDecimalFormat(int) - Constructor for class weka.core.matrix.FlexibleDecimalFormat
FlexibleDecimalFormat(int, boolean) - Constructor for class weka.core.matrix.FlexibleDecimalFormat
FlexibleDecimalFormat(int, boolean, boolean, boolean) - Constructor for class weka.core.matrix.FlexibleDecimalFormat
FlexibleDecimalFormat(double) - Constructor for class weka.core.matrix.FlexibleDecimalFormat
FLOAT - Static variable in class weka.experiment.DatabaseUtils
  Type mapping for FLOAT used for reading experiment results.
FloatingPointFormat - Class in weka.core.matrix
  Class for the format of floating point numbers
FloatingPointFormat() - Constructor for class weka.core.matrix.FloatingPointFormat
  Default constructor
FloatingPointFormat(int) - Constructor for class weka.core.matrix.FloatingPointFormat
FloatingPointFormat(int, int) - Constructor for class weka.core.matrix.FloatingPointFormat
FloatingPointFormat(int, int, boolean) - Constructor for class weka.core.matrix.FloatingPointFormat
FLOOR - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
FLOOR - Static variable in interface weka.core.mathematicalexpression.sym
FLOOR - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
FLOOR1 - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
FlowByExpression - Class in weka.gui.beans
  A bean that splits incoming instances (or instance streams) according to the evaluation of a logical expression.
FlowByExpression() - Constructor for class weka.gui.beans.FlowByExpression
  Constructor
FlowByExpressionBeanInfo - Class in weka.gui.beans
  BeanInfo class for FlowByExpression
FlowByExpressionBeanInfo() - Constructor for class weka.gui.beans.FlowByExpressionBeanInfo
FlowByExpressionCustomizer - Class in weka.gui.beans
  Customizer for the FlowByExpression node
FlowByExpressionCustomizer() - Constructor for class weka.gui.beans.FlowByExpressionCustomizer
  Constructor
FlowRunner - Class in weka.gui.beans
  Small utility class for executing KnowledgeFlow flows outside of the KnowledgeFlow application
FlowRunner() - Constructor for class weka.gui.beans.FlowRunner
  Constructor
FlowRunner(boolean, boolean) - Constructor for class weka.gui.beans.FlowRunner
FlowRunner.SimpleLogger - Class in weka.gui.beans
FlowRunner.SimpleLogger() - Constructor for class weka.gui.beans.FlowRunner.SimpleLogger
flush() - Method in class weka.core.logging.OutputLogger.OutputPrintStream
  ignored.
flush() - Method in class weka.core.Tee
  flushes all the printstreams.
fMeasure(int) - Method in class weka.classifiers.evaluation.Evaluation
  Calculate the F-Measure with respect to a particular class.
fMeasure(int) - Method in class weka.classifiers.Evaluation
  Calculate the F-Measure with respect to a particular class.
FMEASURE_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: FMeasure
FOLD_FIELD_NAME - Static variable in class weka.experiment.CrossValidationResultProducer
  The name of the key field containing the fold number
foldsTipText() - Method in class weka.attributeSelection.OneRAttributeEval
  Returns a string for this option suitable for display in the gui as a tip text
foldsTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
  Returns the tip text for this property
foldsTipText() - Method in class weka.classifiers.rules.JRip
  Returns the tip text for this property
foldsTipText() - Method in class weka.gui.beans.CrossValidationFoldMaker
  Tip text for this property
foldTipText() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Returns the tip text for this property
foldTipText() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Returns the tip text for this property
forCapabilities(Capabilities) - Static method in class weka.core.TestInstances
  returns a TestInstances instance setup already for the the given capabilities.
forInstances(Instances) - Static method in class weka.core.Capabilities
  returns a Capabilities object specific for this data.
forInstances(Instances, boolean) - Static method in class weka.core.Capabilities
  returns a Capabilities object specific for this data.
format(double, StringBuffer, FieldPosition) - Method in class weka.core.matrix.ExponentialFormat
format(double, StringBuffer, FieldPosition) - Method in class weka.core.matrix.FlexibleDecimalFormat
format(double, StringBuffer, FieldPosition) - Method in class weka.core.matrix.FloatingPointFormat
FORMAT_AVAILABLE - Static variable in class weka.gui.beans.InstanceEvent
FORMAT_AVAILABLE - Static variable in class weka.gui.streams.InstanceEvent
  Specifies that the instance format is available
FORMAT_HHMMSS - Static variable in class weka.core.Debug.Clock
  the output format in hours:minutes:seconds, with fraction of msecs
FORMAT_MILLISECONDS - Static variable in class weka.core.Debug.Clock
  the output format in milli-seconds
FORMAT_SECONDS - Static variable in class weka.core.Debug.Clock
  the output format in seconds, with fraction of msecs
formatDate(double) - Method in class weka.core.Attribute
  Returns the given amount of milliseconds formatted according to the current Date format.
formatString(String) - Method in class weka.core.matrix.FlexibleDecimalFormat
formatTipText() - Method in class weka.datagenerators.DataGenerator
  Returns the tip text for this property
forName(String, String[]) - Static method in class weka.associations.AbstractAssociator
  Creates a new instance of a associator given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]) - Static method in class weka.attributeSelection.ASEvaluation
  Creates a new instance of an attribute/subset evaluator given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]) - Static method in class weka.attributeSelection.ASSearch
  Creates a new instance of a search class given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]) - Static method in class weka.classifiers.AbstractClassifier
  Creates a new instance of a classifier given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]) - Static method in class weka.classifiers.functions.supportVector.Kernel
  Creates a new instance of a kernel given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]) - Static method in class weka.clusterers.AbstractClusterer
  Creates a new instance of a clusterer given it's class name and (optional) arguments to pass to it's setOptions method.
forName(Class<?>, String, String[]) - Static method in class weka.core.Utils
  Creates a new instance of an object given it's class name and (optional) arguments to pass to it's setOptions method.
forName(String, String[]) - Static method in class weka.estimators.Estimator
  Creates a new instance of a estimatorr given it's class name and (optional) arguments to pass to it's setOptions method.
foundUsefulAttribute() - Method in class weka.classifiers.functions.SimpleLinearRegression
  Returns true if a usable attribute was found.
foundUsefulAttribute() - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
  Returns true if a usable attribute was found.
FP_RATE_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: False Positive Rate"
FPGrowth - Class in weka.associations
  Class implementing the FP-growth algorithm for finding large item sets without candidate generation.
FPGrowth() - Constructor for class weka.associations.FPGrowth
  Construct a new FPGrowth object.
FProbability(double, int, int) - Static method in class weka.core.Statistics
  Computes probability of F-ratio.
freeNotCoveredInstances() - Method in class weka.classifiers.trees.m5.Rule
  Free up memory consumed by the set of instances not covered by this rule.
FREQ_ASCEND - Static variable in class weka.filters.supervised.attribute.ClassOrder
  The class values are sorted in ascending order based on their frequencies
FREQ_DESCEND - Static variable in class weka.filters.supervised.attribute.ClassOrder
  The class values are sorted in descending order based on their frequencies
fromCommandline(String) - Static method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns a fully configured object from the given commandline.
FromFile - Class in weka.classifiers.bayes.net.search.fixed
  The FromFile reads the structure of a Bayes net from a file in BIFF format.
FromFile() - Constructor for class weka.classifiers.bayes.net.search.fixed.FromFile
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.ACTIVATIONFUNCTION
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.BASELINETESTSTATISTIC
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.CATSCORINGMETHOD
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.COMPAREFUNCTION
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.CONTSCORINGMETHOD
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.CUMULATIVELINKFUNCTION
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.DATATYPE
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.DELIMITER2
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.FIELDUSAGETYPE
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.GAP
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.INTERPOLATIONMETHOD
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.INVALIDVALUETREATMENTMETHOD
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.LINKFUNCTION
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.MININGFUNCTION
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.MISSINGVALUESTRATEGY
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.MULTIPLEMODELMETHOD
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.NNNORMALIZATIONMETHOD
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.NOTRUECHILDSTRATEGY
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.OPTYPE
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.OUTLIERTREATMENTMETHOD
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.REGRESSIONNORMALIZATIONMETHOD
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.RESULTFEATURE
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.RULEFEATURE
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.SVMCLASSIFICATIONMETHOD
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.SVMREPRESENTATION
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMEANCHOR2
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMEEXCEPTIONTYPE
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMESERIESALGORITHM
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMESERIESUSAGE
fromValue(String) - Static method in enum weka.core.pmml.jaxbbindings.VALIDTIMESPEC
fromXML(Document) - Method in class weka.core.xml.XMLSerialization
  returns the given DOM document as an instance of the specified class
fullValue() - Method in class weka.gui.HierarchyPropertyParser
  The full value of the current node, i.e.
Function - Class in weka.core.pmml
  Abstract superclass for PMML built-in and DefineFunctions.
Function() - Constructor for class weka.core.pmml.Function
FUNCTION_1 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
  function 1
FUNCTION_10 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
  function 10
FUNCTION_2 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
  function 2
FUNCTION_3 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
  function 3
FUNCTION_4 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
  function 4
FUNCTION_5 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
  function 5
FUNCTION_6 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
  function 6
FUNCTION_7 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
  function 7
FUNCTION_8 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
  function 8
FUNCTION_9 - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
  function 9
FUNCTION_TAGS - Static variable in class weka.datagenerators.classifiers.classification.Agrawal
  the funtion tags
functionTipText() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Returns the tip text for this property

## G

gainRatio() - Method in class weka.classifiers.trees.j48.BinC45Split
  Returns (C4.5-type) gain ratio for the generated split.
gainRatio() - Method in class weka.classifiers.trees.j48.C45Split
  Returns (C4.5-type) gain ratio for the generated split.
gainRatio(double[][]) - Static method in class weka.core.ContingencyTables
  Computes gain ratio for contingency table (split on rows).
GainRatioAttributeEval - Class in weka.attributeSelection
  GainRatioAttributeEval :
  Evaluates the worth of an attribute by measuring the gain ratio with respect to the class.
  GainR(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute).

  Valid options are:

GainRatioAttributeEval() - Constructor for class weka.attributeSelection.GainRatioAttributeEval
  Constructor
GainRatioSplitCrit - Class in weka.classifiers.trees.j48
  Class for computing the gain ratio for a given distribution.
GainRatioSplitCrit() - Constructor for class weka.classifiers.trees.j48.GainRatioSplitCrit
gamma(double) - Static method in class weka.core.Statistics
  Returns the Gamma function of the argument.
gammaTipText() - Method in class weka.classifiers.functions.supportVector.RBFKernel
  Returns the tip text for this property
GAP - Enum in weka.core.pmml.jaxbbindings
  Java class for GAP.
GAUSS - Static variable in class weka.classifiers.lazy.LWL
GAUSSIAN - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
  cluster type: gaussian
GAUSSIAN - Static variable in class weka.filters.unsupervised.attribute.RandomProjection
  distribution type: gaussian
GaussianConditionalSufficientStats - Class in weka.classifiers.trees.ht
  Maintains sufficient stats for a Gaussian distribution for a numeric attribute
GaussianConditionalSufficientStats() - Constructor for class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
GaussianDistribution - Class in weka.core.pmml.jaxbbindings
  Java class for GaussianDistribution element declaration.
GaussianDistribution() - Constructor for class weka.core.pmml.jaxbbindings.GaussianDistribution
GaussianProcesses - Class in weka.classifiers.functions
  Implements Gaussian processes for regression without hyperparameter-tuning.
GaussianProcesses() - Constructor for class weka.classifiers.functions.GaussianProcesses
GE - Static variable in interface weka.core.mathematicalexpression.sym
GE - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
GeneralRegression - Class in weka.classifiers.pmml.consumer
  Class implementing import of PMML General Regression model.
GeneralRegression(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.GeneralRegression
  Constructs a GeneralRegression classifier.
GeneralRegressionModel - Class in weka.core.pmml.jaxbbindings
  Java class for GeneralRegressionModel element declaration.
GeneralRegressionModel() - Constructor for class weka.core.pmml.jaxbbindings.GeneralRegressionModel
generate() - Method in class weka.core.Javadoc
  generates either the plain Javadoc (if no filename specified) or the updated file (if a filename is specified).
generate() - Method in class weka.core.ListOptions
  generates the options string.
generate() - Method in class weka.core.TestInstances
  Generates a new dataset
generate(String) - Method in class weka.core.TestInstances
  generates a new dataset.
generateExample() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Generates one example of the dataset.
generateExample() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Generates one example of the dataset.
generateExample() - Method in class weka.datagenerators.classifiers.classification.LED24
  Generates one example of the dataset.
generateExample() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Generates one example of the dataset.
generateExample() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Generate an example of the dataset dataset.
generateExample() - Method in class weka.datagenerators.classifiers.regression.Expression
  Generates one example of the dataset.
generateExample() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Generates one example of the dataset.
generateExample() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Generate an example of the dataset.
generateExample() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Generate an example of the dataset.
generateExample() - Method in class weka.datagenerators.DataGenerator
  Generates one example of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Generates all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Generates all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.classification.LED24
  Generates all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Generates all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Generate all examples of the dataset.
generateExamples(int, Random, Instances) - Method in class weka.datagenerators.classifiers.classification.RDG1
  Generate all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.regression.Expression
  Generates all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Generates all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Generate all examples of the dataset.
generateExamples(Random, Instances) - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Generate all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Generate all examples of the dataset.
generateExamples() - Method in class weka.datagenerators.DataGenerator
  Generates all examples of the dataset.
generateFinished() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Generates a comment string that documentats the data generator.
generateFinished() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Generates a comment string that documentats the data generator.
generateFinished() - Method in class weka.datagenerators.classifiers.classification.LED24
  Generates a comment string that documentats the data generator.
generateFinished() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Generates a comment string that documentats the data generator.
generateFinished() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Compiles documentation about the data generation.
generateFinished() - Method in class weka.datagenerators.classifiers.regression.Expression
  Generates a comment string that documentats the data generator.
generateFinished() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Generates a comment string that documentats the data generator.
generateFinished() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Compiles documentation about the data generation after the generation process
generateFinished() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Compiles documentation about the data generation after the generation process
generateFinished() - Method in class weka.datagenerators.DataGenerator
  Generates a comment string that documentates the data generator.
generateHelp() - Method in class weka.core.Javadoc
  generates a string to print as help on the console
generateHelp() - Method in class weka.core.ListOptions
  generates a string to print as help on the console
generateInstances() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
  GenerateInstances generates random instances sampling from the distribution represented by the Bayes network structure.
generateInstances(int[]) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
  Generate an instance.
generateInstances(int[]) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
  Generates a new instance using one kernel estimator.
generateInstances() - Method in class weka.gui.explorer.PreprocessPanel
  sets Instances generated via DataGenerators (pops up a Dialog)
generateOutput() - Method in class weka.gui.visualize.BMPWriter
  generates the actual output.
generateOutput() - Method in class weka.gui.visualize.JPEGWriter
  generates the actual output.
generateOutput() - Method in class weka.gui.visualize.PNGWriter
  generates the actual output.
generateOutput() - Method in class weka.gui.visualize.PostscriptWriter
  generates the actual output
generatePartition(Instances) - Method in class weka.classifiers.meta.Bagging
  Builds the classifier to generate a partition.
generatePartition(Instances) - Method in class weka.classifiers.meta.FilteredClassifier
  Builds the classifier to generate a partition.
generatePartition(Instances) - Method in class weka.classifiers.meta.RandomCommittee
  Builds the classifier to generate a partition.
generatePartition(Instances) - Method in class weka.classifiers.trees.J48
  Builds the classifier to generate a partition.
generatePartition(Instances) - Method in class weka.classifiers.trees.RandomForest
  Builds the classifier to generate a partition.
generatePartition(Instances) - Method in class weka.classifiers.trees.RandomTree
  Builds the classifier to generate a partition.
generatePartition(Instances) - Method in class weka.classifiers.trees.REPTree
  Builds the classifier to generate a partition.
generatePartition(Instances) - Method in interface weka.core.PartitionGenerator
  Builds the classifier to generate a partition.
generateRandomNetwork() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
  Generate random connected Bayesian network with discrete nodes having all the same cardinality.
generateRandomNetworkStructure(int, int) - Method in class weka.classifiers.bayes.net.BayesNetGenerator
  GenerateRandomNetworkStructure generate random connected Bayesian network
generateRankingTipText() - Method in class weka.attributeSelection.GreedyStepwise
  Returns the tip text for this property
generateRankingTipText() - Method in class weka.attributeSelection.Ranker
  Returns the tip text for this property
generateRules(double, ArrayList<Hashtable<ItemSet, Integer>>, int) - Method in class weka.associations.AprioriItemSet
  Generates all rules for an item set.
generateRules(double, boolean) - Method in class weka.associations.LabeledItemSet
  Generates rules out of item sets
generateRulesBruteForce(double, int, ArrayList<Hashtable<ItemSet, Integer>>, int, int, double) - Method in class weka.associations.AprioriItemSet
  Generates all significant rules for an item set.
generateRulesBruteForce(FPGrowth.FrequentItemSets, DefaultAssociationRule.METRIC_TYPE, double, int, int, int) - Static method in class weka.associations.FPGrowth
  Generate all association rules, from the supplied frequet item sets, that meet a given minimum metric threshold.
generateRulesTipText() - Method in class weka.classifiers.trees.m5.M5Base
  Returns the tip text for this property
generatesOutput() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns whether regular output is generated or not.
generatesOutput() - Method in class weka.classifiers.evaluation.output.prediction.Null
  Returns always false.
generateStart() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.classifiers.classification.LED24
  Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.classifiers.regression.Expression
  Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Generates a comment string that documentates the data generator.
generateStart() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Compiles documentation about the data generation before the generation process
generateStart() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Compiles documentation about the data generation before the generation process
generateStart() - Method in class weka.datagenerators.DataGenerator
  Generates a comment string that documentates the data generator.
GeneratorPropertyIteratorPanel - Class in weka.gui.experiment
  This panel controls setting a list of values for an arbitrary resultgenerator property for an experiment to iterate over.
GeneratorPropertyIteratorPanel() - Constructor for class weka.gui.experiment.GeneratorPropertyIteratorPanel
  Creates the property iterator panel initially disabled.
GeneratorPropertyIteratorPanel(Experiment) - Constructor for class weka.gui.experiment.GeneratorPropertyIteratorPanel
  Creates the property iterator panel and sets the experiment.
GenericArrayEditor - Class in weka.gui
  A PropertyEditor for arrays of objects that themselves have property editors.
GenericArrayEditor() - Constructor for class weka.gui.GenericArrayEditor
GenericObjectEditor - Class in weka.gui
  A PropertyEditor for objects.
GenericObjectEditor() - Constructor for class weka.gui.GenericObjectEditor
  Default constructor.
GenericObjectEditor(boolean) - Constructor for class weka.gui.GenericObjectEditor
  Constructor that allows specifying whether it is possible to change the class within the editor dialog.
GenericObjectEditor.CapabilitiesFilterDialog - Class in weka.gui
  A dialog for selecting Capabilities to look for in the GOE tree.
GenericObjectEditor.CapabilitiesFilterDialog() - Constructor for class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
  creates a dialog to choose Capabilities from.
GenericObjectEditor.GOEPanel - Class in weka.gui
  Handles the GUI side of editing values.
GenericObjectEditor.GOEPanel() - Constructor for class weka.gui.GenericObjectEditor.GOEPanel
  Creates the GUI editor component.
GenericObjectEditor.GOETreeNode - Class in weka.gui
  A specialized TreeNode for supporting filtering via Capabilities.
GenericObjectEditor.GOETreeNode() - Constructor for class weka.gui.GenericObjectEditor.GOETreeNode
  Creates a tree node that has no parent and no children, but which allows children.
GenericObjectEditor.GOETreeNode(Object) - Constructor for class weka.gui.GenericObjectEditor.GOETreeNode
  Creates a tree node with no parent, no children, but which allows children, and initializes it with the specified user object.
GenericObjectEditor.GOETreeNode(Object, boolean) - Constructor for class weka.gui.GenericObjectEditor.GOETreeNode
  Creates a tree node with no parent, no children, initialized with the specified user object, and that allows children only if specified.
GenericObjectEditor.JTreePopupMenu - Class in weka.gui
  Creates a popup menu containing a tree that is aware of the screen dimensions.
GenericObjectEditor.JTreePopupMenu(JTree) - Constructor for class weka.gui.GenericObjectEditor.JTreePopupMenu
  Constructs a new popup menu.
GenericObjectEditorHistory - Class in weka.gui
  A helper class for maintaining a history of objects selected in the GOE.
GenericObjectEditorHistory() - Constructor for class weka.gui.GenericObjectEditorHistory
  Initializes the history.
GenericObjectEditorHistory.HistorySelectionEvent - Class in weka.gui
  Event that gets sent when a history item gets selected.
GenericObjectEditorHistory.HistorySelectionEvent(Object, Object) - Constructor for class weka.gui.GenericObjectEditorHistory.HistorySelectionEvent
  Initializes the event.
GenericObjectEditorHistory.HistorySelectionListener - Interface in weka.gui
  Interface for classes that listen to selections of history items.
GenericPropertiesCreator - Class in weka.gui
  This class can generate the properties object that is normally loaded from the `GenericObjectEditor.props` file (= PROPERTY_FILE).
GenericPropertiesCreator() - Constructor for class weka.gui.GenericPropertiesCreator
  initializes the creator, locates the props file with the Utils class.
GenericPropertiesCreator(String) - Constructor for class weka.gui.GenericPropertiesCreator
  initializes the creator, the given file overrides the props-file search of the Utils class
GeneticSearch - Class in weka.classifiers.bayes.net.search.global
  This Bayes Network learning algorithm uses genetic search for finding a well scoring Bayes network structure.
GeneticSearch() - Constructor for class weka.classifiers.bayes.net.search.global.GeneticSearch
GeneticSearch - Class in weka.classifiers.bayes.net.search.local
  This Bayes Network learning algorithm uses genetic search for finding a well scoring Bayes network structure.
GeneticSearch() - Constructor for class weka.classifiers.bayes.net.search.local.GeneticSearch
get(int) - Method in class weka.core.Instances
  Returns the instance at the given position.
get(int) - Method in class weka.core.matrix.DoubleVector
  Gets a single element.
get(int) - Method in class weka.core.matrix.IntVector
  Gets the value of an element.
get(int, int) - Method in class weka.core.matrix.Matrix
  Get a single element.
get(int) - Method in class weka.core.PropertyPath.Path
  returns the element at the given index
get(int) - Method in class weka.core.Tee
  returns the specified PrintStream from the list.
get(String) - Method in class weka.core.xml.MethodHandler
  returns the stored method for the given property
get(Class<?>) - Method in class weka.core.xml.MethodHandler
  returns the stored method for the given class
get(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Returns the element at the specified position in this list.
get(String, String) - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the value for the specified property, if non-existent then the default value.
get(String, String) - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the value for the specified property, if non-existent then the default value.
getAboutPanel() - Method in class weka.gui.PropertySheetPanel
  Return the panel containing global info and help for the object being edited.
getAbsoluteValue() - Method in class weka.core.pmml.jaxbbindings.Coefficients
  Gets the value of the absoluteValue property.
getAccu() - Method in class weka.classifiers.rules.JRip.Antd
getAccuRate() - Method in class weka.classifiers.rules.JRip.Antd
getActionListener(JFrame) - Method in interface weka.gui.MainMenuExtension
  If the extension has a custom ActionListener for the menu item, then it must be returned here.
getActivationFunction() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Gets the value of the activationFunction property.
getActivationFunction() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Gets the value of the activationFunction property.
getActualIndex(int) - Method in class weka.core.AttributeLocator
  returns actual index in the Instances object.
getActualRow(int) - Method in class weka.gui.SortedTableModel
  Returns the actual underlying row the given visible one represents.
getActualT1() - Method in class weka.clusterers.Canopy
  Get the actual value of T1 (which may be different from the initial value if the heuristic is used)
getActualT2() - Method in class weka.clusterers.Canopy
  Get the actual value of T2 (which may be different from the initial value if the heuristic is used)
getAcuity() - Method in class weka.clusterers.Cobweb
  get the acuity value
getAdditional() - Method in class weka.gui.scripting.event.ScriptExecutionEvent
  Returns the additional information.
getAddMatchingEndBlocks() - Method in class weka.gui.scripting.SyntaxDocument
  Returns whether matching block ends are inserted or not.
getAddress() - Static method in class weka.core.Copyright
  returns the address of the owner
getAdjRSquared() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the adjRSquared property.
getAdjustWeights() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Returns true if instance weights will be adjusted to maintain total weight per class.
getADTree() - Method in class weka.classifiers.bayes.BayesNet
  get ADTree strucrture containing efficient representation of counts.
getAdvanceDataSetFirst() - Method in class weka.experiment.Experiment
  Get the value of m_DataSetFirstFirst.
getAffinity() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Gets the value of the affinity property.
getAggregate() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the aggregate property.
getAggregate() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the aggregate property.
getAggregate() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the aggregate property.
getAIC() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the aic property.
getAICc() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the aiCc property.
getAlgorithm() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the algorithm property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.MiningModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.Regression
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.TextModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
  Gets the value of the algorithmName property.
getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Gets the value of the algorithmName property.
getAllDependenciesForPackage(Package, Map<String, List<Dependency>>) - Static method in class weka.core.WekaPackageManager
  Get a list of dependencies for a given package
getAllEvaluationMetricNames() - Static method in class weka.classifiers.evaluation.Evaluation
  Utility method to get a list of the names of all built-in and plugin evaluation metrics
getAllEvaluationMetricNames() - Static method in class weka.classifiers.Evaluation
  Utility method to get a list of the names of all built-in and plugin evaluation metrics
getAllMetricNames() - Static method in class weka.classifiers.evaluation.EvaluationMetricHelper
  Get a list of all available evaluation metric names
getAllowedIndices() - Method in class weka.core.AttributeLocator
  returns the indices that are allowed to check for the attribute type
getAllowMultipleTabs() - Method in class weka.gui.beans.KnowledgeFlowApp
getAllowUnclassifiedInstances() - Method in class weka.classifiers.trees.RandomTree
  Get the value of NumFolds.
getAllPackages() - Static method in class weka.core.WekaPackageManager
  Get a list of all packages
getAllTheRules() - Method in class weka.associations.Apriori
  returns all the rules
getAlpha() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
  Get prior used in probability table estimation
getAlpha() - Method in class weka.core.pmml.jaxbbindings.Level
  Gets the value of the alpha property.
getAlternate() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Gets the value of the alternate property.
getAlternateTargetCategory() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
  Gets the value of the alternateTargetCategory property.
getAltitude() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Gets the value of the altitude property.
getAltitude() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Gets the value of the altitude property.
getAltitude() - Method in class weka.core.pmml.jaxbbindings.Neuron
  Gets the value of the altitude property.
getAmplitude() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Gets the amplitude multiplier.
getAnimatedIcon() - Method in class weka.gui.beans.BeanVisual
  Returns the animated icon
getAnimatedIconPath() - Method in class weka.gui.beans.BeanVisual
  returns the path for the animated icon
getAnnotation() - Method in class weka.core.pmml.jaxbbindings.Header
  Gets the value of the annotation property.
getAnova() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Gets the value of the anova property.
getAnovaRow() - Method in class weka.core.pmml.jaxbbindings.Anova
  Gets the value of the anovaRow property.
getAntds() - Method in class weka.classifiers.rules.JRip.RipperRule
  Return the antecedents
getAntecedent() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Gets the value of the antecedent property.
getAnyDistribution() - Method in class weka.core.pmml.jaxbbindings.Alternate
  Gets the value of the anyDistribution property.
getAnyDistribution() - Method in class weka.core.pmml.jaxbbindings.Baseline
  Gets the value of the anyDistribution property.
getAppend() - Method in class weka.gui.beans.TextSaver
getAppendPredictedProbabilities() - Method in class weka.gui.beans.PredictionAppender
  Return true if predicted probabilities are to be appended rather than class value
getApplication() - Method in class weka.core.pmml.jaxbbindings.Header
  Gets the value of the application property.
getApplicationName() - Method in interface weka.gui.GUIChooser.GUIChooserMenuPlugin
  Get the name to display in title bar of the enclosing JFrame for the plugin
getApply() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the apply property.
getApply() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the apply property.
getApply() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the apply property.
getArffFile() - Method in class weka.gui.streams.InstanceLoader
getArffFile() - Method in class weka.gui.streams.InstanceSavePanel
getArgs() - Method in class weka.gui.scripting.Script.ScriptThread
  Returns the commandline args.
getArray() - Method in class weka.core.matrix.DoubleVector
  Access the internal one-dimensional array.
getArray() - Method in class weka.core.matrix.IntVector
  Access the internal one-dimensional array.
getArray() - Method in class weka.core.matrix.Matrix
  Access the internal two-dimensional array.
getArray() - Method in class weka.core.pmml.jaxbbindings.BoundaryValueMeans
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.BoundaryValues
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.ClassLabels
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.Cluster
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.CorrelationFields
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.DiscrStats
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.MissingValueWeights
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.TextDictionary
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.TimeCycle
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.TimeException
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.VectorInstance
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.XCoordinates
  Gets the value of the array property.
getArray() - Method in class weka.core.pmml.jaxbbindings.YCoordinates
  Gets the value of the array property.
getArrayClass(Class<?>) - Static method in class weka.core.Utils
  Returns the basic class of an array class (handles multi-dimensional arrays).
getArrayCopy() - Method in class weka.core.matrix.DoubleVector
  Returns a copy of the DoubleVector usng a double array.
getArrayCopy() - Method in class weka.core.matrix.IntVector
  Returns a copy of the internal one-dimensional array.
getArrayCopy() - Method in class weka.core.matrix.Matrix
  Copy the internal two-dimensional array.
getArrayDimensions(Class<?>) - Static method in class weka.core.Utils
  Returns the dimensions of the given array.
getArrayDimensions(Object) - Static method in class weka.core.Utils
  Returns the dimensions of the given array.
getASCrossvalidationFolds() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default number of folds of the CV in the attribute selection panel.
getASEvaluator() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default attribute evalautor (fully configured) for the attribute selection panel.
getAsInstance(Instances, Random) - Method in class weka.core.AlgVector
  Gets the elements of the vector as an instance.
getASRandomSeed() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default random seed value in the attribute selection panel.
getASSearch() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default attribute selection search scheme (fully configured) for the attribute selection panel.
getAssignments() - Method in class weka.clusterers.SimpleKMeans
  Gets the assignments for each instance.
getAssociatedConnections() - Method in class weka.gui.beans.MetaBean
getAssociationModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the associationModel property.
getAssociationModelOrBaselineModelOrClusteringModels() - Method in class weka.core.pmml.jaxbbindings.PMML
  Gets the value of the associationModelOrBaselineModelOrClusteringModel property.
getAssociationRules() - Method in class weka.associations.Apriori
getAssociationRules() - Method in interface weka.associations.AssociationRulesProducer
  Gets the list of mined association rules.
getAssociationRules() - Method in class weka.associations.FilteredAssociator
  Gets the list of mined association rules.
getAssociationRules() - Method in class weka.associations.FPGrowth
  Gets the list of mined association rules.
getAssociator() - Method in class weka.associations.CheckAssociator
  Get the associator being tested
getAssociator() - Method in class weka.associations.SingleAssociatorEnhancer
  Get the associator used as the base associator.
getAssociator() - Method in class weka.gui.beans.Associator
  Get the associator currently set for this wrapper
getAssociator() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default associator (fully configured) for the associations panel.
getASTestMode() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default attribute selection test mode for the attribute selection panel.
getAsText() - Method in class weka.gui.beans.EnvironmentField
getAsText() - Method in class weka.gui.CostMatrixEditor
  Some objects can be represented as text, but a cost matrix cannot.
getAsText() - Method in class weka.gui.GenericArrayEditor
  Returns null as we don't support getting/setting values as text.
getAsText() - Method in class weka.gui.GenericObjectEditor
  Returns null as we don't support getting/setting values as text.
getAsText() - Method in class weka.gui.SelectedTagEditor
  Gets the current value as text.
getAsText() - Method in class weka.gui.SimpleDateFormatEditor
  Returns the date format string.
getAttList_Irr() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Gets the array that defines which of the attributes are seen to be irrelevant.
getAttr() - Method in class weka.classifiers.rules.JRip.Antd
getAttribute() - Method in class weka.associations.Item
  Get the attribute that this item originates from.
getAttribute() - Method in class weka.core.pmml.jaxbbindings.Characteristic
  Gets the value of the attribute property.
getAttribute1() - Method in class weka.gui.visualize.VisualizePanelEvent
getAttribute2() - Method in class weka.gui.visualize.VisualizePanelEvent
getAttributeAt(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  returns the attribute at the given index, can be NULL if not an attribute column
getAttributeAt(int) - Method in class weka.gui.arffviewer.ArffTableModel
  returns the attribute at the given index, can be NULL if not an attribute column
getAttributeCapabilities() - Method in class weka.core.Capabilities
  returns all attribute capabilities
getAttributeColumn(String) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  returns the column of the given attribute name, -1 if not found
getAttributeColumn(String) - Method in class weka.gui.arffviewer.ArffTableModel
  returns the column of the given attribute name, -1 if not found
getAttributeID() - Method in class weka.experiment.ClassifierSplitEvaluator
  Get the index of Attibute Identifying the instances
getAttributeIndex() - Method in class weka.classifiers.functions.SimpleLinearRegression
  Returns the index of the attribute used in the regression.
getAttributeIndex() - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
  Returns the index of the attribute used in the regression.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.Add
  Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.AddValues
  Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Gets the index of the attribute converted.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.SwapValues
  Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Get the index of the attribute used.
getAttributeIndex() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Get the index of the attribute used.
getAttributeIndexes() - Method in class weka.filters.unsupervised.attribute.NominalToString
  Get the index of the attribute used.
getAttributeIndices() - Method in class weka.core.AttributeLocator
  Returns the indices of the attributes.
getAttributeIndices() - Method in interface weka.core.DistanceFunction
  Gets the range of attributes used in the calculation of the distance.
getAttributeIndices() - Method in class weka.core.FilteredDistance
  Gets the range of attributes used in the calculation of the distance.
getAttributeIndices() - Method in class weka.core.NormalizableDistance
  Gets the range of attributes used in the calculation of the distance.
getAttributeIndices() - Method in class weka.filters.supervised.attribute.Discretize
  Gets the current range selection
getAttributeIndices() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Get the current range selection.
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Get the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Copy
  Get the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Discretize
  Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.FirstOrder
  Get the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Get the current range selection.
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Gets the selection of the columns, e.g., first-last or first-3,5-last
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Gets the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Get the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Remove
  Get the current range selection.
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Gets the current range selection.
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Reorder
  Get the current range selection
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.SortLabels
  Gets the current selected attributes.
getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Gets the current range selection.
getAttributeName() - Method in class weka.filters.unsupervised.attribute.Add
  Get the name of the attribute to be created.
getAttributeName() - Method in class weka.filters.unsupervised.attribute.AddID
  Get the name of the attribute to be created
getAttributeNamePrefix() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Get the attribute name prefix.
getAttributeRange() - Method in class weka.filters.unsupervised.attribute.StringToNominal
  Get the range of indices of the attributes used.
getAttributes() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns the range of attributes to output.
getAttributes() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
getAttributes() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Get the list of attributes to consider for replacing missing values
getAttributes() - Method in class weka.gui.arffviewer.ArffPanel
  returns a list with the attributes
getAttributeSelectionMethod() - Method in class weka.classifiers.functions.LinearRegression
  Gets the method used to select attributes for use in the linear regression.
getAttributeSpecs() - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Get the list of attribute specs to use to create the new attributes.
getAttributeType() - Method in class weka.filters.unsupervised.attribute.Add
  Gets the type of attribute to generate.
getAttributeType() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Gets the attribute type to be deleted by the filter.
getAttributeTypes() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Returns the current attribute - attribute-type relation in use.
getAttrIndexRange() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  returns the attribute range(s).
getAttrValue() - Method in class weka.classifiers.rules.JRip.Antd
getAttsToApplyTo() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Get the attributes to apply the rule to
getAttsToApplyTo() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Get the attributes to apply the rule to
getAutoBuild() - Method in class weka.classifiers.functions.MultilayerPerceptron
getAutoKeyGeneration() - Method in class weka.core.converters.DatabaseSaver
  Gets whether or not a primary key will be generated automatically.
getAvailableCompatiblePackages() - Static method in class weka.core.WekaPackageManager
  Get a list of the most recent version of all available packages (i.e.
getAvailablePackages() - Static method in class weka.core.WekaPackageManager
  Get a list of all available packages (i.e.
getAverage(int) - Method in class weka.experiment.ResultMatrix
  returns the average of the mean at the given position, if the position is valid, otherwise 0.
getAverageInstancesPerSecond() - Method in class weka.gui.beans.StreamThroughput
  Get the average instances per second
getAvgNumberOfItemsPerTA() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the avgNumberOfItemsPerTA property.
getAvgNumberOfItemsPerTransaction() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Gets the value of the avgNumberOfItemsPerTransaction property.
getAvgNumberOfTAsPerTAGroup() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Gets the value of the avgNumberOfTAsPerTAGroup property.
getBackground() - Method in class weka.gui.visualize.BMPWriter
  returns the current background color.
getBackground() - Method in class weka.gui.visualize.JPEGWriter
  returns the current background color.
getBackground() - Method in class weka.gui.visualize.PNGWriter
  returns the current background color.
getBackground() - Method in class weka.gui.visualize.PostscriptGraphics
getBackgroundColor() - Method in class weka.gui.scripting.SyntaxDocument
  Returns the background color.
getBackup() - Method in class weka.gui.GenericObjectEditor
  Returns the backup object (may be null if there is no backup.
getBagSizePercent() - Method in class weka.classifiers.meta.Bagging
  Gets the size of each bag, as a percentage of the training set size.
getBalanceClass() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Gets whether the class is balanced.
getBallSplitter() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
  Returns the BallSplitter algorithm set that would be used by the TopDown BallTree constructor.
getBallTreeConstructor() - Method in class weka.core.neighboursearch.BallTree
  Returns the BallTreeConstructor currently in use.
getBase() - Method in class weka.core.neighboursearch.CoverTree
  Returns the base in use for expansion constant.
getBaseExperiment() - Method in class weka.experiment.RemoteExperiment
  Get the base experiment used by this remote experiment
getBaseline() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Gets the value of the baseline property.
getBaselineCell() - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
  Gets the value of the baselineCell property.
getBaselineCell() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
  Gets the value of the baselineCell property.
getBaselineMethod() - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Gets the value of the baselineMethod property.
getBaselineModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the baselineModel property.
getBaselineScore() - Method in class weka.core.pmml.jaxbbindings.Characteristic
  Gets the value of the baselineScore property.
getBaselineScore() - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Gets the value of the baselineScore property.
getBaselineStrataVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the baselineStrataVariable property.
getBaselineStratum() - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
  Gets the value of the baselineStratum property.
getBatchSize() - Method in class weka.classifiers.meta.FilteredClassifier
  Gets the preferred batch size from the base learner if it implements BatchPredictor.
getBatchSize() - Method in class weka.classifiers.meta.LogitBoost
  Dummy method to satisfy BatchPredictor interface.
getBatchSize() - Method in interface weka.core.BatchPredictor
  Get the batch size to use.
getBayesInput() - Method in class weka.core.pmml.jaxbbindings.BayesInputs
  Gets the value of the bayesInput property.
getBean() - Method in class weka.gui.beans.BeanInstance
  Gets the bean encapsulated in this instance
getBeanContext() - Method in class weka.gui.beans.AbstractDataSource
  Return the bean context (if any) that this bean is embedded in
getBeanContext() - Method in class weka.gui.beans.CostBenefitAnalysis
getBeanContext() - Method in class weka.gui.beans.DataVisualizer
  Return the bean context (if any) that this bean is embedded in
getBeanContext() - Method in class weka.gui.beans.GraphViewer
  Return the bean context (if any) that this bean is embedded in
getBeanContext() - Method in class weka.gui.beans.ModelPerformanceChart
  Return the bean context (if any) that this bean is embedded in
getBeanContext() - Method in class weka.gui.beans.TextViewer
  Return the bean context (if any) that this bean is embedded in
getBeanDescriptor() - Method in class weka.filters.unsupervised.attribute.AddUserFieldsBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.AssociatorBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.AttributeSummarizerBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.ClassAssignerBeanInfo
getBeanDescriptor() - Method in class weka.gui.beans.ClassifierBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.ClassValuePickerBeanInfo
getBeanDescriptor() - Method in class weka.gui.beans.ClustererBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.CrossValidationFoldMakerBeanInfo
  Return the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.DataVisualizerBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.FilterBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.FlowByExpressionBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.ImageSaverBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
  Return the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.JoinBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.LoaderBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.ModelPerformanceChartBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.NoteBeanInfo
getBeanDescriptor() - Method in class weka.gui.beans.PredictionAppenderBeanInfo
  Return the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.SaverBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.SerializedModelSaverBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.SorterBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.StripChartBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.SubstringLabelerBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.SubstringReplacerBeanInfo
  Get the bean descriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.TextSaverBeanInfo
  Get BeanDescriptor for this bean
getBeanDescriptor() - Method in class weka.gui.beans.TrainTestSplitMakerBeanInfo
  Get the bean descriptor for this bean
getBeanInfoInputs() - Method in class weka.gui.beans.MetaBean
getBeanInfoOutputs() - Method in class weka.gui.beans.MetaBean
getBeanInfoSubFlow() - Method in class weka.gui.beans.MetaBean
getBeanInstances(Integer...) - Static method in class weka.gui.beans.BeanInstance
  Return the list of displayed beans
getBeanLayout(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getBeansInInputs() - Method in class weka.gui.beans.MetaBean
  Return all the beans in the inputs
getBeansInOutputs() - Method in class weka.gui.beans.MetaBean
  Return all the beans in the outputs
getBeansInSubFlow() - Method in class weka.gui.beans.MetaBean
  Return all the beans in the sub flow
getBestClassifierIndex() - Method in class weka.classifiers.meta.MultiScheme
  Get the index of the classifier that was determined as best during cross-validation.
getBestClassifierOptions() - Method in class weka.classifiers.meta.CVParameterSelection
  Returns (a copy of) the best options found for the classifier.
getBestFit() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
  Gets the value of the bestFit property.
getBeta() - Method in class weka.core.pmml.jaxbbindings.PCell
  Gets the value of the beta property.
getBias() - Method in class weka.classifiers.BVDecompose
  Get the calculated bias squared
getBias() - Method in class weka.core.pmml.jaxbbindings.Neuron
  Gets the value of the bias property.
getBiasToUniformClass() - Method in class weka.filters.supervised.instance.Resample
  Gets the bias towards a uniform class.
getBIC() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the bic property.
getBIFFile() - Method in class weka.classifiers.bayes.BayesNet
  Get name of network in BIF file to compare with
getBIFFile() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
  Get name of network in BIF file to read structure from
getBIFHeader() - Method in class weka.classifiers.bayes.BayesNet
getBinarizeNumericAttributes() - Method in class weka.attributeSelection.InfoGainAttributeEval
  get whether numeric attributes are just being binarized.
getBinaryAttributesNominal() - Method in class weka.filters.supervised.attribute.NominalToBinary
  Gets if binary attributes are to be treated as nominal ones.
getBinaryAttributesNominal() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Gets if binary attributes are to be treated as nominal ones.
getBinarySimilarity() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the binarySimilarity property.
getBinarySplits() - Method in class weka.classifiers.rules.PART
  Get the value of binarySplits.
getBinarySplits() - Method in class weka.classifiers.trees.J48
  Get the value of binarySplits.
getBinRangePrecision() - Method in class weka.filters.supervised.attribute.Discretize
  Get the precision for bin boundaries.
getBinRangesString(int) - Method in class weka.filters.supervised.attribute.Discretize
  Gets the bin ranges string for an attribute
getBinRangesString(int) - Method in class weka.filters.unsupervised.attribute.Discretize
  Gets the bin ranges string for an attribute
getBins() - Method in class weka.filters.unsupervised.attribute.Discretize
  Gets the number of bins numeric attributes will be divided into
getBins() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Ignored
getBinValue() - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
  Gets the value of the binValue property.
getBlockEnd() - Method in class weka.gui.scripting.SyntaxDocument
  Returns the end of a block.
getBlockOnLastFold() - Method in class weka.gui.beans.Classifier
  Gets whether we are blocking on the last fold of the last run rather than rejecting any further data until all processing has been completed.
getBlockStart() - Method in class weka.gui.scripting.SyntaxDocument
  Returns the start of a block.
getBooleanCols() - Method in class weka.datagenerators.ClusterGenerator
  returns the range of boolean attributes.
getBooleanOperator() - Method in class weka.core.pmml.jaxbbindings.CompoundPredicate
  Gets the value of the booleanOperator property.
getBooleanOperator() - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
  Gets the value of the booleanOperator property.
getBorderInsets(Component) - Method in class weka.gui.beans.ShadowBorder
  Returns a new Insets instance where the top and left are 1, the bottom and right fields are the border width + 1.
getBorderInsets(Component, Insets) - Method in class weka.gui.beans.ShadowBorder
  Reinitializes the `insets` parameter with this ShadowBorder's current Insets.
getBoundaryValueMeans() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
  Gets the value of the boundaryValueMeans property.
getBoundaryValues() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
  Gets the value of the boundaryValues property.
getBoundaryValues() - Method in class weka.core.pmml.jaxbbindings.ROCGraph
  Gets the value of the boundaryValues property.
getBuffer() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns the current buffer.
getBufferSize() - Method in class weka.core.converters.CSVLoader
  Get the buffer size to use - i.e.
getBufferSize() - Method in class weka.gui.beans.Sorter
  Get the size of the in-memory buffer
getBuilder() - Method in class weka.core.xml.XMLDocument
  returns the DocumentBuilder.
getBuildLogisticModels() - Method in class weka.classifiers.functions.SMO
  Get the value of buildLogisticModels.
getBuildRegressionTree() - Method in class weka.classifiers.trees.m5.M5Base
  Get the value of regressionTree.
getBuiltInMetricNames() - Static method in class weka.classifiers.evaluation.EvaluationMetricHelper
  Get a list of built-in metric names
getBusinessProblem() - Method in class weka.core.pmml.jaxbbindings.Decisions
  Gets the value of the businessProblem property.
getC() - Method in class weka.classifiers.functions.SMO
  Get the value of C.
getC() - Method in class weka.classifiers.functions.SMOreg
  Get the value of C.
getC00Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Gets the value of the c00Parameter property.
getC01Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Gets the value of the c01Parameter property.
getC10Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Gets the value of the c10Parameter property.
getC11Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Gets the value of the c11Parameter property.
getCacheHits() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  return the number of kernel cache hits
getCacheKeyName() - Method in class weka.experiment.DatabaseResultListener
  Get the value of CacheKeyName.
getCacheSize() - Method in class weka.classifiers.functions.supportVector.CachedKernel
  Gets the size of the cache
getCacheSize() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Gets the size of the cache
getCacheValues(double) - Method in class weka.classifiers.lazy.kstar.KStarCache
  Returns the values in the cache mapped by the specified key
getCalcOutOfBag() - Method in class weka.classifiers.meta.Bagging
  Get whether the out of bag error is calculated.
getCalculatedNumToSelect() - Method in class weka.attributeSelection.GreedyStepwise
  Gets the calculated number of attributes to retain.
getCalculatedNumToSelect() - Method in interface weka.attributeSelection.RankedOutputSearch
  Gets the calculated number of attributes to retain.
getCalculatedNumToSelect() - Method in class weka.attributeSelection.Ranker
  Gets the calculated number to select.
getCalculateStdDevs() - Method in class weka.experiment.AveragingResultProducer
  Get the value of CalculateStdDevs.
getCanChangeClassInDialog() - Method in class weka.gui.GenericObjectEditor
  Returns whether the user can change the class in the dialog.
getCanopies() - Method in class weka.clusterers.Canopy
  Get the canopies (cluster centers).
getCanopyMaxNumCanopiesToHoldInMemory() - Method in class weka.clusterers.SimpleKMeans
  Get the maximum number of candidate canopies to retain in memory during training.
getCanopyMinimumCanopyDensity() - Method in class weka.clusterers.SimpleKMeans
  Get the minimum T2-based density below which a canopy will be pruned during periodic pruning.
getCanopyPeriodicPruningRate() - Method in class weka.clusterers.SimpleKMeans
  Get the how often to prune low density canopies during training (if using canopy clustering)
getCanopyT1() - Method in class weka.clusterers.SimpleKMeans
  Get the t1 radius to use when canopy clustering is being used as start points and/or to reduce the number of distance calcs
getCanopyT2() - Method in class weka.clusterers.SimpleKMeans
  Get the t2 radius to use when canopy clustering is being used as start points and/or to reduce the number of distance calcs
getCapabilities() - Method in class weka.associations.AbstractAssociator
  Returns the Capabilities of this associator.
getCapabilities() - Method in class weka.associations.Apriori
  Returns default capabilities of the classifier.
getCapabilities() - Method in interface weka.associations.Associator
  Returns the Capabilities of this associator.
getCapabilities() - Method in class weka.associations.FilteredAssociator
  Returns default capabilities of the associator.
getCapabilities() - Method in class weka.associations.FPGrowth
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.associations.SingleAssociatorEnhancer
  Returns default capabilities of the base associator.
getCapabilities() - Method in class weka.attributeSelection.ASEvaluation
  Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.CfsSubsetEval
  Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.CorrelationAttributeEval
  Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.GainRatioAttributeEval
  Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.InfoGainAttributeEval
  Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.OneRAttributeEval
  Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.PrincipalComponents
  Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.attributeSelection.WrapperSubsetEval
  Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.classifiers.AbstractClassifier
  Returns the Capabilities of this classifier.
getCapabilities() - Method in class weka.classifiers.bayes.BayesNet
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.bayes.NaiveBayes
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns default capabilities of the classifier.
getCapabilities() - Method in interface weka.classifiers.Classifier
  Returns the Capabilities of this classifier.
getCapabilities() - Method in class weka.classifiers.functions.GaussianProcesses
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.LinearRegression
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.Logistic
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.MultilayerPerceptron
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.SGD
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.SGDText
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.SimpleLinearRegression
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.SMO
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.SMOreg
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.functions.supportVector.Kernel
  Returns the Capabilities of this kernel.
getCapabilities() - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Returns the Capabilities of this kernel.
getCapabilities() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Returns the Capabilities of this kernel.
getCapabilities() - Method in class weka.classifiers.functions.supportVector.Puk
  Returns the Capabilities of this kernel.
getCapabilities() - Method in class weka.classifiers.functions.supportVector.RBFKernel
  Returns the Capabilities of this kernel.
getCapabilities() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the Capabilities of this kernel.
getCapabilities() - Method in class weka.classifiers.functions.VotedPerceptron
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.lazy.IBk
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.lazy.KStar
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.lazy.LWL
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.AdaBoostM1
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.AdditiveRegression
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.ClassificationViaRegression
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.CVParameterSelection
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.FilteredClassifier
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns default capabilities of the base classifier.
getCapabilities() - Method in class weka.classifiers.meta.LogitBoost
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.MultiClassClassifier
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.meta.Stacking
  Returns combined capabilities of the base classifiers, i.e., the capabilities all of them have in common.
getCapabilities() - Method in class weka.classifiers.meta.Vote
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.misc.InputMappedClassifier
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.misc.SerializedClassifier
  Returns default capabilities of the base classifier.
getCapabilities() - Method in class weka.classifiers.MultipleClassifiersCombiner
  Returns combined capabilities of the base classifiers, i.e., the capabilities all of them have in common.
getCapabilities() - Method in class weka.classifiers.rules.DecisionTable
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.rules.JRip
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.rules.OneR
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.rules.PART
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.rules.part.MakeDecList
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.rules.ZeroR
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.SingleClassifierEnhancer
  Returns default capabilities of the base classifier.
getCapabilities() - Method in class weka.classifiers.trees.DecisionStump
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
  Returns default capabilities of the classifier tree.
getCapabilities() - Method in class weka.classifiers.trees.j48.ClassifierTree
  Returns default capabilities of the classifier tree.
getCapabilities() - Method in class weka.classifiers.trees.J48
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
  Returns default capabilities of the classifier tree.
getCapabilities() - Method in class weka.classifiers.trees.j48.PruneableClassifierTree
  Returns default capabilities of the classifier tree.
getCapabilities() - Method in class weka.classifiers.trees.LMT
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.trees.m5.M5Base
  Returns default capabilities of the classifier, i.e., of LinearRegression.
getCapabilities() - Method in class weka.classifiers.trees.RandomForest
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.trees.RandomTree
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.classifiers.trees.REPTree
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.clusterers.AbstractClusterer
  Returns the Capabilities of this clusterer.
getCapabilities() - Method in class weka.clusterers.Canopy
  Returns default capabilities of the clusterer.
getCapabilities() - Method in interface weka.clusterers.Clusterer
  Returns the Capabilities of this clusterer.
getCapabilities() - Method in class weka.clusterers.Cobweb
  Returns default capabilities of the clusterer.
getCapabilities() - Method in class weka.clusterers.EM
  Returns default capabilities of the clusterer (i.e., the ones of SimpleKMeans).
getCapabilities() - Method in class weka.clusterers.FarthestFirst
  Returns default capabilities of the clusterer.
getCapabilities() - Method in class weka.clusterers.FilteredClusterer
  Returns default capabilities of the clusterer.
getCapabilities() - Method in class weka.clusterers.HierarchicalClusterer
getCapabilities() - Method in class weka.clusterers.MakeDensityBasedClusterer
  Returns default capabilities of the clusterer (i.e., of the wrapper clusterer).
getCapabilities() - Method in class weka.clusterers.SimpleKMeans
  Returns default capabilities of the clusterer.
getCapabilities() - Method in class weka.clusterers.SingleClustererEnhancer
  Returns default capabilities of the clusterer.
getCapabilities() - Method in interface weka.core.CapabilitiesHandler
  Returns the capabilities of this object.
getCapabilities() - Method in class weka.core.converters.AbstractSaver
  Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.ArffSaver
  Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.C45Saver
  Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.CSVSaver
  Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.DatabaseSaver
  Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.JSONSaver
  Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.LibSVMSaver
  Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.MatlabSaver
  Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.SerializedInstancesSaver
  Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.SVMLightSaver
  Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.converters.XRFFSaver
  Returns the Capabilities of this saver.
getCapabilities() - Method in class weka.core.FindWithCapabilities
  The capabilities to search for.
getCapabilities() - Method in class weka.estimators.DiscreteEstimator
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.estimators.Estimator
  Returns the Capabilities of this Estimator.
getCapabilities() - Method in class weka.estimators.KernelEstimator
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.estimators.MahalanobisEstimator
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.estimators.NormalEstimator
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.estimators.PoissonEstimator
  Returns default capabilities of the classifier.
getCapabilities() - Method in class weka.filters.AllFilter
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.Filter
  Returns the Capabilities of this filter.
getCapabilities(Instances) - Method in class weka.filters.Filter
  Returns the Capabilities of this filter, customized based on the data.
getCapabilities() - Method in class weka.filters.MultiFilter
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.AddClassification
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.AttributeSelection
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.ClassOrder
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.Discretize
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.NominalToBinary
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.attribute.PartitionMembership
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.instance.ClassBalancer
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.instance.Resample
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Add
  Returns the Capabilities of this filter.
getCapabilities(Instances) - Method in class weka.filters.unsupervised.attribute.AddCluster
  Returns the Capabilities of this filter, makes sure that the class is never set (for the clusterer).
getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddCluster
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddExpression
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddID
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddValues
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Center
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Returns the Capabilities of this filter.
getCapabilities(Instances) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Returns the Capabilities of this filter, makes sure that the class is never set (for the clusterer).
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Copy
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Discretize
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.FirstOrder
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.MathExpression
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NominalToString
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Normalize
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Obfuscate
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Returns the capabilities of this evaluator.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Remove
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RemoveByName
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Reorder
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
getCapabilities() - Method in class weka.filters.unsupervised.attribute.SortLabels
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Standardize
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.StringToNominal
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.SwapValues
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.attribute.Transpose
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.Randomize
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveDuplicates
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveRange
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.Resample
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Returns the Capabilities of this filter.
getCapabilities() - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
  returns the currently selected capabilities.
getCapabilitiesFilter() - Method in class weka.gui.ConverterFileChooser
  returns the capabilities filter for the savers, can be null if all are listed.
getCapabilitiesFilter() - Method in class weka.gui.GenericObjectEditor
  Returns the current Capabilities filter, can be null.
getCar() - Method in class weka.associations.Apriori
  Gets whether class association ruels are mined
getCardinality(int) - Method in class weka.classifiers.bayes.BayesNet
  get number of values a node can take
getCardinality() - Method in class weka.core.pmml.jaxbbindings.Counts
  Gets the value of the cardinality property.
getCardinality() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Gets the cardinality of the attributes (incl class attribute)
getCardinalityOfParents() - Method in class weka.classifiers.bayes.net.ParentSet
  returns cardinality of parents
getCaseSensitive() - Method in class weka.gui.scripting.SyntaxDocument
  Returns whether blanks are used instead of tabs.
getCastInteger() - Method in class weka.core.pmml.jaxbbindings.Target
  Gets the value of the castInteger property.
getCategoricalPredictor() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
  Gets the value of the categoricalPredictor property.
getCategoricalScoringMethod() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Gets the value of the categoricalScoringMethod property.
getCategories() - Method in class weka.core.pmml.jaxbbindings.Predictor
  Gets the value of the categories property.
getCategory() - Method in class weka.core.pmml.jaxbbindings.Categories
  Gets the value of the category property.
getCategory() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the category property.
getCell(int, int) - Method in class weka.classifiers.CostMatrix
  Return the contents of a particular cell.
getCellEditor(int, int) - Method in class weka.gui.arffviewer.ArffTable
  returns the cell editor for the given cell
getCells() - Method in class weka.gui.sql.ResultSetHelper
  returns an 2-dimensional array with the content of the resultset, the first dimension is the row, the second the column (i.e., getCells()[y][x]).
getCenter() - Method in class weka.gui.treevisualizer.Node
  Get the value of center.
getCenterData() - Method in class weka.attributeSelection.PrincipalComponents
  Get whether to center (rather than standardize) the data.
getCenterData() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Get whether to center (rather than standardize) the data.
getChangeInWeights() - Method in class weka.classifiers.functions.neural.NeuralNode
  call this function to get the chnage in weights array.
getChar() - Method in class weka.core.Trie.TrieNode
  returns the stored character
getCharacteristic() - Method in class weka.core.pmml.jaxbbindings.Characteristics
  Gets the value of the characteristic property.
getCharSet() - Method in class weka.core.converters.TextDirectoryLoader
  Get the character set to use when reading text files.
getChartingEvalWindowSize() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Get whether to compute evaluation for charting over a fixed sized window of the most recent instances (rather than the whole stream).
getChebychev() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the chebychev property.
getChecked(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  returns the checked state of the element at the given index
getChecked(int) - Method in class weka.gui.CheckBoxList
  returns the checked state of the element at the given index
getCheckedIndices() - Method in class weka.gui.CheckBoxList
  returns an array with the indices of all checked items
getCheckErrorRate() - Method in class weka.classifiers.rules.JRip
  Gets whether to check for error rate is in stopping criterion
getChecksTurnedOff() - Method in class weka.classifiers.functions.SMO
  Returns whether the checks are turned off or not.
getChecksTurnedOff() - Method in class weka.classifiers.functions.supportVector.Kernel
  Returns whether the checks are turned off or not.
getChecksTurnedOff() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Returns whether the checks are turned off or not.
getChild(String) - Method in class weka.core.json.JSONNode
  Returns the child with the given name.
getChild(int) - Method in class weka.gui.treevisualizer.Node
  Get the Edge for the child number 'i'.
getChildField() - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Gets the value of the childField property.
getChildParent() - Method in class weka.core.pmml.jaxbbindings.Taxonomy
  Gets the value of the childParent property.
getChildren(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  return list of children of a node
getChildTags(Node) - Static method in class weka.core.xml.XMLDocument
  returns all non tag-children from the given node.
getChildTags(Node, String) - Static method in class weka.core.xml.XMLDocument
  returns all non tag-children from the given node.
getChiSquareValue() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the chiSquareValue property.
getChooseClassPopupMenu() - Method in class weka.gui.GenericObjectEditor
  Returns a popup menu that allows the user to change the class of object.
getCindex() - Method in class weka.gui.visualize.PlotData2D
  Get the currently set colouring index of the data
getCIndex() - Method in class weka.gui.visualize.VisualizePanel
  Get the index of the attribute selected for coloring
getCityBlock() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the cityBlock property.
getClassAttribute() - Method in class weka.gui.beans.ThresholdDataEvent
  Return the class attribute for which the threshold data was generated for.
getClassCapabilities() - Method in class weka.core.Capabilities
  returns all class capabilities
getClassColumn() - Method in class weka.gui.beans.ClassAssigner
getClassCounts() - Method in class weka.filters.supervised.attribute.ClassOrder
  Get the class distribution of the sorted class values.
getClassesToClusters() - Method in class weka.clusterers.ClusterEvaluation
  Return the array (ordered by cluster number) of minimum error class to cluster mappings
getClassFlag() - Method in class weka.datagenerators.ClusterGenerator
  Gets the class flag.
getClassForIRStatistics() - Method in class weka.experiment.ClassifierSplitEvaluator
  Get the value of ClassForIRStatistics.
getClassificationMethod() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Gets the value of the classificationMethod property.
getClassifier() - Method in class weka.attributeSelection.WrapperSubsetEval
  Get the classifier used as the base learner.
getClassifier() - Method in class weka.classifiers.BVDecompose
  Gets the name of the classifier being analysed
getClassifier() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Gets the name of the classifier being analysed
getClassifier() - Method in class weka.classifiers.CheckClassifier
  Get the classifier used as the classifier
getClassifier() - Method in class weka.classifiers.CheckSource
  Gets the classifier being used for the tests, can be null.
getClassifier(int) - Method in class weka.classifiers.meta.MultiScheme
  Gets a single classifier from the set of available classifiers.
getClassifier(int) - Method in class weka.classifiers.MultipleClassifiersCombiner
  Gets a single classifier from the set of available classifiers.
getClassifier() - Method in class weka.classifiers.SingleClassifierEnhancer
  Get the classifier used as the base learner.
getClassifier() - Method in class weka.experiment.ClassifierSplitEvaluator
  Get the value of Classifier.
getClassifier() - Method in class weka.experiment.RegressionSplitEvaluator
  Get the value of Classifier.
getClassifier() - Method in class weka.filters.supervised.attribute.AddClassification
  Gets the classifier used by the filter.
getClassifier() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Gets the classifier used by the filter.
getClassifier() - Method in class weka.gui.beans.BatchClassifierEvent
  Get the classifier
getClassifier() - Method in class weka.gui.beans.Classifier
  Get the currently trained classifier.
getClassifier() - Method in class weka.gui.beans.IncrementalClassifierEvent
  Get the classifier
getClassifier() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Returns the currently set classifier.
getClassifier() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default classifier (fully configured) for the classify panel.
getClassifierCostSensitiveEval() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns whether the evaluation of the classifier is done cost-sensitively.
getClassifierCrossvalidationFolds() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default number of folds of the CV in the classify panel.
getClassifierErrorsMaximumPlotSizeNumeric() - Static method in class weka.gui.explorer.ExplorerDefaults
  Returns the maximum size in pixels for plots of plotting classifier errors of numeric attributes.
getClassifierErrorsMinimumPlotSizeNumeric() - Static method in class weka.gui.explorer.ExplorerDefaults
  Returns the minimum size in pixels for plots of plotting classifier errors of numeric attributes.
getClassifierErrorsPlotInstances() - Static method in class weka.gui.explorer.ExplorerDefaults
  Returns an instance of the class used for generating plot instances for displaying the classifier errors.
getClassifierOutputAdditionalAttributes() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the string with the additional indices to output alongside the predictions.
getClassifierOutputConfusionMatrix() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns whether the confusion matrix for the classifier is output.
getClassifierOutputEntropyEvalMeasures() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns whether entropy-based evaluation meastures of the classifier are output.
getClassifierOutputModel() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns whether the built model is output.
getClassifierOutputPerClassStats() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns whether additional per-class stats of the classifier are output.
getClassifierOutputPredictions() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns whether the predictions of the classifier are output as well.
getClassifierOutputSourceCode() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns whether the source of a sourcable Classifier is output in the classify tab.
getClassifierPercentageSplit() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default classifier test mode for the classify panel (0-99).
getClassifierPreserveOrder() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns whether the order is preserved in case of the percentage split in the classify tab.
getClassifierRandomSeed() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default random seed value for the classifier for the classify panel.
getClassifiers() - Method in class weka.classifiers.meta.MultiScheme
  Gets the list of possible classifers to choose from.
getClassifiers() - Method in class weka.classifiers.MultipleClassifiersCombiner
  Gets the list of possible classifers to choose from.
getClassifierSourceCodeClass() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default classname for a sourcable Classifier in the classify tab.
getClassifierStorePredictionsForVis() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns whether the predictions of the classifier are stored for visualization.
getClassifierTemplate() - Method in class weka.gui.beans.Classifier
  Return the classifier template currently in use.
getClassifierTestMode() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default classifier test mode for the classify panel.
getClassifyIterations() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Gets the number of times an instance is classified
getClassIndex() - Method in class weka.associations.Apriori
  Gets the class index
getClassIndex() - Method in class weka.associations.FilteredAssociator
  Gets the class index
getClassIndex() - Method in class weka.classifiers.BVDecompose
  Get the index (starting from 1) of the attribute used as the class.
getClassIndex() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Get the index (starting from 1) of the attribute used as the class.
getClassIndex() - Method in class weka.classifiers.CheckSource
  Gets the class index of the dataset.
getClassIndex() - Method in class weka.core.converters.JSONSaver
  Get the index of the class attribute.
getClassIndex() - Method in class weka.core.converters.LibSVMSaver
  Get the index of the class attribute.
getClassIndex() - Method in class weka.core.converters.SVMLightSaver
  Get the index of the class attribute.
getClassIndex() - Method in class weka.core.converters.XRFFSaver
  Get the index of the class attribute.
getClassIndex() - Method in class weka.core.FindWithCapabilities
  returns the current current class index, -1 if no class attribute.
getClassIndex() - Method in class weka.core.TestInstances
  returns the current class index (0-based), -1 is last attribute
getClassIndex() - Method in class weka.filters.CheckSource
  Gets the class index of the dataset.
getClassIndex() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
  returns the class index.
getClassIndex() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Gets the attribute on which misclassifications are based.
getClassIndex() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Returns the 0-based class index.
getClassIndex() - Method in class weka.gui.SetInstancesPanel
  Returns the currently selected class index.
getClassLabels() - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
  Gets the value of the classLabels property.
getClassLoader() - Method in class weka.core.scripting.Groovy
  returns the currently used Groovy classloader.
getClassMatches(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
  returns all the class/package matches with the partial search string.
getClassname() - Method in class weka.core.Javadoc
  returns the current classname
getClassname() - Method in class weka.core.ListOptions
  returns the current classname
getClassName() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Get the class containing the transformation method.
getClassname(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
  returns the classname part of the partial classname.
getClassnames(String) - Method in class weka.core.ClassCache
  Returns all the classes for the given package.
getClassnames(String) - Static method in class weka.gui.GenericObjectEditor
  Returns the available classnames for a certain property in the props file.
getClassOrder() - Method in class weka.filters.supervised.attribute.ClassOrder
  Get the wanted class order
getClassPriors() - Method in class weka.classifiers.evaluation.Evaluation
  Get the current weighted class counts.
getClassPriors() - Method in class weka.classifiers.Evaluation
  Get the current weighted class counts.
getClassType() - Method in class weka.core.TestInstances
  returns the current class type
getClassValue() - Method in class weka.gui.beans.ClassValuePicker
  Gets the class value considered to be the "positive" class value.
getClassValueIndex() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Get the class value index to use
getClassWeightedAverageStatistic(String) - Method in interface weka.classifiers.evaluation.InformationRetrievalEvaluationMetric
  Get the weighted (by class) average for this statistic.
getClearEachDataset() - Method in class weka.gui.streams.InstanceViewer
getClip() - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
getClipBounds() - Method in class weka.gui.visualize.PostscriptGraphics
  This returns the full current drawing area
getClipBounds(Rectangle) - Method in class weka.gui.visualize.PostscriptGraphics
  This returns the full current drawing area
getClipRect() - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
getClock() - Method in class weka.core.Debug
  returns the instance of the Clock that is internally used
getClosestConnections(Point, int, Integer...) - Static method in class weka.gui.beans.BeanConnection
  Return a list of connections within some delta of a point
getClosestConnectorPoint(Point) - Method in class weka.gui.beans.BeanVisual
  Returns the coordinates of the closest "connector" point to the supplied point.
getCloseTo() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Get the "close to" number.
getCloseToDefault() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Get the "close to" default.
getCloseToTolerance() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Get the "close to" Tolerance.
getClosure() - Method in class weka.core.pmml.jaxbbindings.Interval
  Gets the value of the closure property.
getClusterAssignments() - Method in class weka.clusterers.ClusterEvaluation
  Return an array of cluster assignments corresponding to the most recent set of instances clustered.
getClusterCanopyAssignments() - Method in class weka.clusterers.Canopy
  Get the canopies that each canopy (cluster center) is within T1 distance of
getClusterCentroids() - Method in class weka.clusterers.FarthestFirst
  Get the centroids found by FarthestFirst
getClusterCentroids() - Method in class weka.clusterers.SimpleKMeans
  Gets the the cluster centroids.
getClusterDefinitions() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  returns the currently set clusters
getClusterer() - Method in class weka.attributeSelection.UnsupervisedSubsetEvaluator
  Get the clusterer
getClusterer() - Method in class weka.clusterers.CheckClusterer
  Get the clusterer used as the clusterer
getClusterer() - Method in class weka.clusterers.MakeDensityBasedClusterer
  Gets the clusterer being wrapped.
getClusterer() - Method in class weka.clusterers.SingleClustererEnhancer
  Get the clusterer used as the base clusterer.
getClusterer() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Get the value of clusterer
getClusterer() - Method in class weka.filters.unsupervised.attribute.AddCluster
  Gets the clusterer used by the filter.
getClusterer() - Method in class weka.gui.beans.BatchClustererEvent
  Get the clusterer
getClusterer() - Method in class weka.gui.beans.Clusterer
  Get the clusterer currently set for this wrapper
getClusterer() - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
  Returns the currently set clusterer.
getClusterer() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default clusterer (fully configured) for the clusterer panel.
getClustererAssignmentsPlotInstances() - Static method in class weka.gui.explorer.ExplorerDefaults
  Returns an instance of the class used for generating plot instances for displaying the cluster assignments.
getClustererStoreClustersForVis() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns whether the clusters are storeed for visualization purposes in the cluster panel.
getClustererTestMode() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default cluster test mode for the cluster panel.
getClusterEvaluation() - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
  Returns the cluster evaluation object in use.
getClusteringModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the clusteringModel property.
getClusteringModelQuality() - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
  Gets the value of the clusteringModelQuality property.
getClusterModelsNumericAtts() - Method in class weka.clusterers.EM
  Return the normal distributions for the cluster models
getClusterNominalCounts() - Method in class weka.clusterers.SimpleKMeans
  Returns for each cluster the weighted frequency counts for the values of each nominal attribute.
getClusterPriors() - Method in class weka.clusterers.EM
  Return the priors for the clusters
getClusterSizes() - Method in class weka.clusterers.SimpleKMeans
  Gets the number of instances in each cluster.
getClusterStandardDevs() - Method in class weka.clusterers.SimpleKMeans
  Gets the standard deviations of the numeric attributes in each cluster.
getClusterSubType() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Gets the cluster sub type.
getClusterType() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Gets the cluster type.
getCoef0() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
  Gets the value of the coef0 property.
getCoef0() - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
  Gets the value of the coef0 property.
getCoefficient() - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
  Gets the value of the coefficient property.
getCoefficient() - Method in class weka.core.pmml.jaxbbindings.Coefficients
  Gets the value of the coefficient property.
getCoefficient() - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
  Gets the value of the coefficient property.
getCoefficient() - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
  Gets the value of the coefficient property.
getCoefficients() - Method in class weka.core.matrix.LinearRegression
  returns the calculated coefficients
getCoefficients() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
  Gets the value of the coefficients property.
getCol() - Method in class weka.core.pmml.jaxbbindings.MatCell
  Gets the value of the col property.
getColCount() - Method in class weka.experiment.ResultMatrix
  returns the number of columns.
getColHidden(int) - Method in class weka.experiment.ResultMatrix
  returns the hidden status of the column, if the index is valid, otherwise false.
getCollapseTree() - Method in class weka.classifiers.trees.J48
  Get the value of collapseTree.
getColName(int) - Method in class weka.experiment.ResultMatrix
  returns the name of the row, if the index is valid, otherwise null.
getColNameWidth() - Method in class weka.experiment.ResultMatrix
  returns the current width for the column names.
getColor() - Method in class weka.gui.ReaderToTextPane
  Returns the color in use.
getColor() - Method in class weka.gui.treevisualizer.Node
  Get the value of color.
getColor() - Method in class weka.gui.visualize.PostscriptGraphics
  Get current pen color.
getColorBox() - Method in class weka.gui.AttributeVisualizationPanel
  Returns the class selection combo box if the parent component wants to place it in itself or in some component other than this component.
getColOrder() - Method in class weka.experiment.ResultMatrix
  returns the current order of the columns, null means the default order.
getColoringIndex() - Method in class weka.gui.AttributeVisualizationPanel
  Get the coloring (class) index for the plot
getColoringIndex() - Method in class weka.gui.beans.AttributeSummarizer
  Return the coloring index for the attribute summary plots
getColors() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Get the current vector of Color objects used for the classes
getColumn(int) - Method in class weka.core.Matrix
  Deprecated.
  Gets a column of the matrix and returns it as a double array.
getColumn() - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
  Gets the value of the column property.
getColumn() - Method in class weka.core.pmml.jaxbbindings.InstanceField
  Gets the value of the column property.
getColumn() - Method in class weka.core.pmml.jaxbbindings.VerificationField
  Gets the value of the column property.
getColumn() - Static method in class weka.gui.experiment.ExperimenterDefaults
  the comma-separated list of attribute names that identify a column.
getColumnClass(int) - Method in class weka.gui.arffviewer.ArffTableModel
  returns the most specific superclass for all the cell values in the column (always String)
getColumnClass(int) - Method in class weka.gui.beans.InteractiveTableModel
getColumnClass(int) - Method in class weka.gui.SortedTableModel
  Returns the most specific superclass for all the cell values in the column.
getColumnClass(int) - Method in class weka.gui.sql.ResultSetTableModel
  returns the most specific superclass for all the cell values in the column (always String).
getColumnClasses() - Method in class weka.gui.sql.ResultSetHelper
  returns the classes for the columns.
getColumnCount() - Method in class weka.gui.arffviewer.ArffTableModel
  returns the number of columns in the model
getColumnCount() - Method in class weka.gui.beans.InteractiveTableModel
getColumnCount() - Method in class weka.gui.SortedTableModel
  Returns the number of columns in the model
getColumnCount() - Method in class weka.gui.sql.ResultSetHelper
  returns the number of columns in the resultset.
getColumnCount() - Method in class weka.gui.sql.ResultSetTableModel
  returns the number of columns in the model.
getColumnDimension() - Method in class weka.core.matrix.Matrix
  Get column dimension.
getColumnName(int) - Method in class weka.gui.arffviewer.ArffTableModel
  returns the name of the column at columnIndex
getColumnName(int) - Method in class weka.gui.beans.InteractiveTableModel
getColumnName(int) - Method in class weka.gui.SortedTableModel
  Returns the name of the column at columnIndex
getColumnName(int) - Method in class weka.gui.sql.ResultSetTableModel
  returns the name of the column at columnIndex.
getColumnNames() - Method in class weka.gui.sql.ResultSetHelper
  returns an array with the names of the columns in the resultset.
getColumnPackedCopy() - Method in class weka.core.matrix.Matrix
  Make a one-dimensional column packed copy of the internal array.
getCombinationRule() - Method in class weka.classifiers.meta.Vote
  Gets the combination rule used
getCommand() - Method in class weka.gui.treevisualizer.TreeDisplayEvent
getComment() - Method in enum weka.core.TechnicalInformation.Field
  returns the comment string
getComment() - Method in enum weka.core.TechnicalInformation.Type
  returns the comment string
getCommonPrefix() - Method in class weka.core.Trie
  returns the common prefix for all the nodes
getCommonPrefix() - Method in class weka.core.Trie.TrieNode
  returns the common prefix for all the nodes starting with this node.
getCommonPrefix(String) - Method in class weka.core.Trie.TrieNode
  returns the common prefix for all the nodes starting with the node for the specified prefix.
getCommonPrefix(Vector<String>) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
  returns the common prefix for all the items in the list.
getCompareFunction() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Gets the value of the compareFunction property.
getCompareFunction() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the compareFunction property.
getCompareFunction() - Method in class weka.core.pmml.jaxbbindings.KNNInput
  Gets the value of the compareFunction property.
getComparison() - Method in class weka.associations.NumericItem
  Gets the comparison operator for this item.
getComparisonAsString() - Method in class weka.associations.Item
  Get this item's comparison operator as a String.
getComparisonAsString() - Method in class weka.associations.NominalItem
  Get this item's comparison operator as a String.
getComparisonAsString() - Method in class weka.associations.NumericItem
  Get this item's comparison operator as a String.
getComparisonField() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the name of the field used for comparison.
getComparisons() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Gets the value of the comparisons property.
getCompatibilityState() - Method in class weka.experiment.AveragingResultProducer
  Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getCompatibilityState() - Method in class weka.experiment.CrossValidationResultProducer
  Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getCompatibilityState() - Method in class weka.experiment.DatabaseResultProducer
  Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getCompatibilityState() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getCompatibilityState() - Method in class weka.experiment.LearningRateResultProducer
  Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getCompatibilityState() - Method in class weka.experiment.RandomSplitResultProducer
  Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getCompatibilityState() - Method in interface weka.experiment.ResultProducer
  Gets a description of the internal settings of the result producer, sufficient for distinguishing a ResultProducer instance from another with different settings (ignoring those settings set through this interface).
getComponent() - Method in class weka.gui.visualize.JComponentWriter
  returns the component that is stored in the output format
getComponent() - Method in class weka.gui.visualize.PrintableComponent
  returns the GUI component this print dialog is part of.
getComposite() - Method in class weka.gui.visualize.PostscriptGraphics
getCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.Attribute
  Gets the value of the compoundPredicate property.
getCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
  Gets the value of the compoundPredicate property.
getCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the compoundPredicate property.
getCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the compoundPredicate property.
getCompressOutput() - Method in class weka.core.converters.ArffSaver
  Gets whether the output data is compressed.
getCompressOutput() - Method in class weka.core.converters.JSONSaver
  Gets whether the output data is compressed.
getCompressOutput() - Method in class weka.core.converters.XRFFSaver
  Gets whether the output data is compressed.
getCon() - Method in class weka.core.pmml.jaxbbindings.Neuron
  Gets the value of the con property.
getConfidence() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Gets the value of the confidence property.
getConfidence() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
  Gets the value of the confidence property.
getConfidence() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Gets the value of the confidence property.
getConfidence() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the confidence property.
getConfidenceFactor() - Method in class weka.classifiers.rules.PART
  Get the value of CF.
getConfidenceFactor() - Method in class weka.classifiers.trees.J48
  Get the value of CF.
getConfidenceLevel() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the confidenceLevel property.
getConfidenceLowerBound() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the confidenceLowerBound property.
getConfidenceUpperBound() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the confidenceUpperBound property.
getConfirmExit() - Method in class weka.gui.arffviewer.ArffViewer
  returns the setting of whether to display a confirm messagebox or not on exit
getConfirmExit() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns the setting of whether to display a confirm messagebox or not on exit
getConfusionMatrix() - Method in class weka.classifiers.evaluation.TwoClassStats
  Generates a `ConfusionMatrix` representing the current two-class statistics, using class names "negative" and "positive".
getConfusionMatrix() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the confusionMatrix property.
getConnectedFormat() - Method in class weka.gui.beans.ClassAssigner
  Returns the structure of the incoming instances (if any)
getConnectedFormat() - Method in class weka.gui.beans.ClassValuePicker
  Returns the structure of the incoming instances (if any)
getConnectedFormat() - Method in class weka.gui.beans.FlowByExpression
  Returns the structure of the incoming instances (if any)
getConnectedFormat() - Method in class weka.gui.beans.Sorter
  Returns the structure of the incoming instances (if any)
getConnection() - Method in class weka.gui.sql.DbUtils
  returns the current database connection.
getConnections(Integer...) - Static method in class weka.gui.beans.BeanConnection
  Returns the list of connections
getConnectorPoint(int) - Method in class weka.gui.beans.BeanVisual
  Returns the coordinates of the connector point given a compass point
getConsequence() - Method in class weka.associations.AssociationRule
  Get the consequence of this rule.
getConsequence() - Method in class weka.associations.DefaultAssociationRule
getConsequenceSupport() - Method in class weka.associations.AssociationRule
  Get the support for the consequence.
getConsequenceSupport() - Method in class weka.associations.DefaultAssociationRule
getConsequent() - Method in class weka.classifiers.rules.JRip.RipperRule
  Gets the internal representation of the class label to be predicted
getConsequent() - Method in class weka.classifiers.rules.Rule
  Get the consequent of this rule, i.e.
getConsequent() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Gets the value of the consequent property.
getConservativeForwardSelection() - Method in class weka.attributeSelection.GreedyStepwise
  Gets whether conservative selection has been enabled
getConstant() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the constant property.
getConstant() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the constant property.
getConstant() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the constant property.
getConsumeNonMatching() - Method in class weka.gui.beans.SubstringLabeler
  Get whether instances that do not match any of the rules should be "consumed" rather than output with a missing value set for the new attribute.
getConsumeNonMatching() - Method in class weka.gui.beans.SubstringLabelerRules
  Get whether to consume non matching instances.
getContainChildBalls() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Gets whether if a parent ball should completely enclose its two child balls.
getContent(Element) - Method in class weka.classifiers.bayes.net.BIFReader
  Returns all TEXT children of the given node in one string.
getContent(Element) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  XML helper function.
getContent() - Method in class weka.core.pmml.jaxbbindings.Annotation
  Gets the value of the content property.
getContent() - Method in class weka.core.pmml.jaxbbindings.ArrayType
  Gets the value of the content property.
getContent() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.Extension
  Gets the value of the content property.
getContent() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.MiningModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.Node
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.Row
  Gets the value of the content property.
getContent() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.TextModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
  Gets the rest of the content model.
getContent() - Method in class weka.core.pmml.jaxbbindings.Timestamp
  Gets the value of the content property.
getContent() - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Gets the rest of the content model.
getContent(Element) - Static method in class weka.core.xml.XMLDocument
  returns the text between the opening and closing tag of a node (performs a `trim()` on the result).
getContent() - Method in class weka.gui.scripting.Script
  Returns the content.
getContinuousScoringMethod() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Gets the value of the continuousScoringMethod property.
getContrastMatrixType() - Method in class weka.core.pmml.jaxbbindings.Predictor
  Gets the value of the contrastMatrixType property.
getControlPanel() - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
  This method returns a handle to the extra controls panel, so that the visualizing class can add it to some of it's own gui panel.
getControlPanel() - Method in interface weka.gui.graphvisualizer.LayoutEngine
  This method returns the extra controls panel for the LayoutEngine, if there is any.
getContStats() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Gets the value of the contStats property.
getConvertNominal() - Method in class weka.classifiers.trees.LMT
  Get the value of convertNominal.
getCoord1() - Method in class weka.core.pmml.jaxbbindings.KohonenMap
  Gets the value of the coord1 property.
getCoord2() - Method in class weka.core.pmml.jaxbbindings.KohonenMap
  Gets the value of the coord2 property.
getCoord3() - Method in class weka.core.pmml.jaxbbindings.KohonenMap
  Gets the value of the coord3 property.
getCopyright() - Method in class weka.core.pmml.jaxbbindings.Header
  Gets the value of the copyright property.
getCoreConvertersOnly() - Method in class weka.gui.ConverterFileChooser
  Returns whether only the hardcoded core converters are displayed.
getCorrelationFields() - Method in class weka.core.pmml.jaxbbindings.Correlations
  Gets the value of the correlationFields property.
getCorrelationMatrix() - Method in class weka.attributeSelection.PrincipalComponents
  Return the correlation/covariance matrix
getCorrelationMethods() - Method in class weka.core.pmml.jaxbbindings.Correlations
  Gets the value of the correlationMethods property.
getCorrelations() - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
  Gets the value of the correlations property.
getCorrelationValues() - Method in class weka.core.pmml.jaxbbindings.Correlations
  Gets the value of the correlationValues property.
getCostMatrix() - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Gets the misclassification cost matrix.
getCostMatrixSource() - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Gets the source location method of the cost matrix.
getCount(double) - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
  Get a counts for a value
getCount() - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
  Gets the value of the count property.
getCount() - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
  Gets the value of the count property.
getCount() - Method in class weka.core.pmml.jaxbbindings.TimeException
  Gets the value of the count property.
getCount(double) - Method in class weka.estimators.DiscreteEstimator
  Get the count for a value
getCount(int) - Method in class weka.experiment.ResultMatrix
  returns the count for the row.
getCount(Node, int) - Static method in class weka.gui.treevisualizer.Node
  Recursively finds the number of visible nodes there are (this may accidentally count some of the invis nodes).
getCounts(int[], int[], int[], int, int, boolean) - Method in class weka.classifiers.bayes.net.ADNode
  get counts for specific instantiation of a set of nodes
getCounts(int[], int[], int[], int, int, ADNode, boolean) - Method in class weka.classifiers.bayes.net.VaryNode
  get counts for specific instantiation of a set of nodes
getCounts() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
  Gets the value of the counts property.
getCounts() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Gets the value of the counts property.
getCountTable() - Method in class weka.core.pmml.jaxbbindings.Baseline
  Gets the value of the countTable property.
getCountWidth() - Method in class weka.experiment.ResultMatrix
  returns the current width for the counts.
getCovariance() - Method in class weka.estimators.MultivariateGaussianEstimator
getCovariances() - Method in class weka.core.pmml.jaxbbindings.Cluster
  Gets the value of the covariances property.
getCover() - Method in class weka.classifiers.rules.JRip.Antd
getCreatorApplication() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
  Get the name of the application that created this model
getCreatorApplication() - Method in interface weka.core.pmml.PMMLModel
  Get the name of the application that created this model.
getCriterion() - Method in class weka.core.pmml.jaxbbindings.RuleSelectionMethod
  Gets the value of the criterion property.
getCrossVal() - Method in class weka.classifiers.rules.DecisionTable
  Gets the number of folds for cross validation
getCrossValidate() - Method in class weka.classifiers.lazy.IBk
  Gets whether hold-one-out cross-validation will be used to select the best k value.
getCumHazard() - Method in class weka.core.pmml.jaxbbindings.BaselineCell
  Gets the value of the cumHazard property.
getCumulativeLink() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the cumulativeLink property.
getCurrent() - Method in class weka.core.Memory
  returns the currently used size of the JVM heap, obtains a fresh MemoryUsage object to do so.
getCurrentBeanLayout() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getCurrentDatasetNumber() - Method in class weka.experiment.Experiment
  When an experiment is running, this returns the current dataset number.
getCurrentDir() - Static method in class weka.core.Debug
  returns the current working directory of the user
getCurrentFilename() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns the filename of the current tab
getCurrentIndex() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns the currently selected tab index
getCurrentInstance() - Method in class weka.gui.beans.IncrementalClassifierEvent
  Get the current instance
getCurrentLogPanel() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getCurrentModel() - Method in class weka.classifiers.misc.SerializedClassifier
  Gets the currently loaded model (can be null).
getCurrentPanel() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns the currently selected panel
getCurrentPropertyNumber() - Method in class weka.experiment.Experiment
  When an experiment is running, this returns the index of the current custom property value.
getCurrentRunNumber() - Method in class weka.experiment.Experiment
  When an experiment is running, this returns the current run number.
getCurrentTabIndex() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getCurrentZoomSetting() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getCurve(ArrayList<Prediction>) - Method in class weka.classifiers.evaluation.CostCurve
  Calculates the performance stats for the default class and return results as a set of Instances.
getCurve(ArrayList<Prediction>, int) - Method in class weka.classifiers.evaluation.CostCurve
  Calculates the performance stats for the desired class and return results as a set of Instances.
getCurve(ArrayList<Prediction>) - Method in class weka.classifiers.evaluation.MarginCurve
  Calculates the cumulative margin distribution for the set of predictions, returning the result as a set of Instances.
getCurve(ArrayList<Prediction>) - Method in class weka.classifiers.evaluation.ThresholdCurve
  Calculates the performance stats for the default class and return results as a set of Instances.
getCurve(ArrayList<Prediction>, int) - Method in class weka.classifiers.evaluation.ThresholdCurve
  Calculates the performance stats for the desired class and return results as a set of Instances.
getCustomEditor() - Method in class weka.gui.beans.EnvironmentField
getCustomEditor() - Method in class weka.gui.CostMatrixEditor
  Gets a GUI component with which the user can edit the cost matrix.
getCustomEditor() - Method in class weka.gui.FileEditor
  Gets the custom editor component.
getCustomEditor() - Method in class weka.gui.GenericArrayEditor
  Returns the array editing component.
getCustomEditor() - Method in class weka.gui.GenericObjectEditor
  Returns the array editing component.
getCustomEditor() - Method in class weka.gui.SimpleDateFormatEditor
  Gets a GUI component with which the user can edit the date format.
getCustomHeight() - Method in class weka.gui.visualize.JComponentWriter
  gets the custom height currently used
getCustomName() - Method in class weka.gui.beans.Appender
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Associator
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in interface weka.gui.beans.BeanCommon
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.ClassAssigner
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Classifier
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.ClassValuePicker
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Clusterer
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.CostBenefitAnalysis
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.CrossValidationFoldMaker
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.DataVisualizer
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Filter
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.FlowByExpression
getCustomName() - Method in class weka.gui.beans.ImageSaver
getCustomName() - Method in class weka.gui.beans.ImageViewer
getCustomName() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Join
  Get the custom name of this step
getCustomName() - Method in class weka.gui.beans.Loader
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.MetaBean
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.ModelPerformanceChart
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.PredictionAppender
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Saver
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.SerializedModelSaver
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.Sorter
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.StripChart
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.SubstringLabeler
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.SubstringReplacer
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.TestSetMaker
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.TextSaver
getCustomName() - Method in class weka.gui.beans.TextViewer
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.TrainingSetMaker
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomName() - Method in class weka.gui.beans.TrainTestSplitMaker
  Get the custom (descriptive) name for this bean (if one has been set)
getCustomPanel() - Method in class weka.gui.beans.EnvironmentField
getCustomPanel() - Method in interface weka.gui.CustomPanelSupplier
  Gets the custom panel for the object.
getCustomPanel() - Method in class weka.gui.GenericObjectEditor
  Gets the custom panel used for editing the object.
getCustomPropsFile() - Method in class weka.core.converters.DatabaseLoader
  Returns the custom properties file in use, if any.
getCustomPropsFile() - Method in class weka.core.converters.DatabaseSaver
  Returns the custom properties file in use, if any.
getCustomPropsFile() - Method in class weka.experiment.InstanceQuery
  Returns the custom properties file in use, if any.
getCustomWidth() - Method in class weka.gui.visualize.JComponentWriter
  gets the custom width currently used
getCutoff() - Method in class weka.clusterers.Cobweb
  get the cutoff
getCutPoints(int) - Method in class weka.filters.supervised.attribute.Discretize
  Gets the cut points for an attribute
getCutPoints(int) - Method in class weka.filters.unsupervised.attribute.Discretize
  Gets the cut points for an attribute
getCVisible() - Method in class weka.gui.treevisualizer.Node
  Get If this node's childs are visible.
getCVParameter(int) - Method in class weka.classifiers.meta.CVParameterSelection
  Gets the scheme paramter with the given index.
getCVParameters() - Method in class weka.classifiers.meta.CVParameterSelection
  Get method for CVParameters.
getCVPredictions(Classifier, Instances, int) - Method in class weka.classifiers.evaluation.EvaluationUtils
  Generate a bunch of predictions ready for processing, by performing a cross-validation on the supplied dataset.
getCVType() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  get cross validation strategy to be used in searching for networks.
getD() - Method in class weka.core.matrix.EigenvalueDecomposition
  Return the block diagonal eigenvalue matrix
getD00Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Gets the value of the d00Parameter property.
getD01Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Gets the value of the d01Parameter property.
getD10Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Gets the value of the d10Parameter property.
getD11Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Gets the value of the d11Parameter property.
getData() - Method in class weka.attributeSelection.BestFirst.Link2
  Get a group
getData() - Method in class weka.classifiers.rules.RuleStats
  Get the data of the stats
getData() - Method in class weka.core.AttributeLocator
  returns the underlying data
getData() - Method in class weka.core.converters.ArffLoader.ArffReader
  Returns the data that was read
getData() - Method in class weka.core.TestInstances
  returns the current dataset, can be null
getDatabaseURL() - Method in class weka.experiment.DatabaseUtils
  Get the value of DatabaseURL.
getDataDictionary() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
  Get the data dictionary.
getDataDictionary() - Method in class weka.core.pmml.jaxbbindings.PMML
  Gets the value of the dataDictionary property.
getDataFields() - Method in class weka.core.pmml.jaxbbindings.DataDictionary
  Gets the value of the dataField property.
getDataFileName() - Method in class weka.classifiers.BVDecompose
  Get the name of the data file used for the decomposition
getDataFileName() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Get the name of the data file used for the decomposition
getDataName() - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
  Gets the value of the dataName property.
getDataName() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the dataName property.
getDataPoint() - Method in class weka.gui.beans.ChartEvent
  Get the data point
getDataset() - Method in class weka.classifiers.CheckSource
  Gets the dataset to use for testing, can be null.
getDataSet() - Method in class weka.core.converters.AbstractLoader
getDataSet() - Method in class weka.core.converters.ArffLoader
  Return the full data set.
getDataSet() - Method in class weka.core.converters.C45Loader
  Return the full data set.
getDataSet() - Method in class weka.core.converters.ConverterUtils.DataSource
  returns the full dataset, can be null in case of an error.
getDataSet(int) - Method in class weka.core.converters.ConverterUtils.DataSource
  returns the full dataset with the specified class index set, can be null in case of an error.
getDataSet() - Method in class weka.core.converters.CSVLoader
getDataSet() - Method in class weka.core.converters.DatabaseLoader
  Return the full data set in batch mode (header and all intances at once).
getDataSet() - Method in class weka.core.converters.JSONLoader
  Return the full data set.
getDataSet() - Method in class weka.core.converters.LibSVMLoader
  Return the full data set.
getDataSet() - Method in interface weka.core.converters.Loader
  Return the full data set.
getDataSet() - Method in class weka.core.converters.MatlabLoader
  Return the full data set.
getDataSet() - Method in class weka.core.converters.SerializedInstancesLoader
  Return the full data set.
getDataSet() - Method in class weka.core.converters.SVMLightLoader
  Return the full data set.
getDataSet() - Method in class weka.core.converters.TextDirectoryLoader
  Return the full data set.
getDataSet() - Method in class weka.core.converters.XRFFLoader
  Return the full data set.
getDataset() - Method in class weka.filters.CheckSource
  Gets the dataset to use for testing, can be null.
getDataSet() - Method in class weka.gui.beans.DataSetEvent
  Return the instances of the data set
getDataSet() - Method in class weka.gui.beans.ThresholdDataEvent
  Return the instances of the data set
getDataSet() - Method in class weka.gui.beans.VisualizableErrorEvent
  Return the instances of the data set
getDatasetFormat() - Method in class weka.datagenerators.DataGenerator
  Gets the format of the dataset that is to be generated.
getDatasetKeyColumns() - Method in class weka.experiment.PairedTTester
  Get the value of DatasetKeyColumns.
getDatasetKeyColumns() - Method in interface weka.experiment.Tester
  Get the value of DatasetKeyColumns.
getDatasets() - Method in class weka.experiment.Experiment
  Gets the datasets in the experiment.
getDatasetsFirst() - Static method in class weka.gui.experiment.ExperimenterDefaults
  whether datasets or algorithms are iterated first.
getDataType() - Method in class weka.core.pmml.jaxbbindings.Constant
  Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.DataField
  Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.Discretize
  Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.MapValues
  Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.ParameterField
  Gets the value of the dataType property.
getDataType() - Method in class weka.core.pmml.jaxbbindings.ResultField
  Gets the value of the dataType property.
getDataType() - Method in class weka.gui.beans.xml.XMLBeans
  returns the type of data that is to be read/written
getDataUsage() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the dataUsage property.
getDateAttributes() - Method in class weka.core.converters.CSVLoader
  Returns the current attribute range to be forced to type date.
getDateFormat() - Method in class weka.core.Attribute
  Returns the Date format pattern in case this attribute is of type DATE, otherwise an empty string.
getDateFormat() - Method in class weka.core.converters.CSVLoader
  Get the format to use for parsing date values.
getDateFormat() - Method in class weka.filters.unsupervised.attribute.Add
  Get the date format, complying to ISO-8601.
getDateFormat() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Get the date formatting string (if any)
getDateFormat() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Get the date format used in output.
getDateFormat() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Get the date format to use for parsing the date replacement constant
getDateReplacementValue() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Get the date replacement value
getDateValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Get the value of the attribute as a date or null if the attribute isn't of type date.
getDbUtils() - Method in class weka.gui.sql.event.ConnectionEvent
  returns the DbUtils instance that is responsible for the connect/disconnect.
getDbUtils() - Method in class weka.gui.sql.event.QueryExecuteEvent
  returns the DbUtils instance that was executed the query
getDebug() - Method in class weka.attributeSelection.CfsSubsetEval
  Set whether to output debugging info
getDebug() - Method in class weka.classifiers.AbstractClassifier
  Get whether debugging is turned on.
getDebug() - Method in class weka.classifiers.BVDecompose
  Gets whether debugging is turned on
getDebug() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Gets whether debugging is turned on
getDebug() - Method in class weka.classifiers.functions.Logistic
  Gets whether debugging output will be printed.
getDebug() - Method in class weka.classifiers.functions.supportVector.Kernel
  Gets whether debugging output is turned on or not.
getDebug() - Method in class weka.classifiers.meta.MultiScheme
  Get whether debugging is turned on
getDebug() - Method in class weka.classifiers.rules.JRip
  Gets whether debug information is output to the console
getDebug() - Method in class weka.clusterers.AbstractClusterer
  Get whether debugging is turned on.
getDebug() - Method in class weka.clusterers.EM
  Get debug mode
getDebug() - Method in class weka.core.Check
  Get whether debugging is turned on
getDebug() - Method in class weka.core.converters.TextDirectoryLoader
  Gets whether additional debug information is printed.
getDebug() - Method in class weka.core.Debug.Random
  returns whether to print the generated random values or not
getDebug() - Method in class weka.core.stopwords.AbstractStopwords
  Get whether debugging is turned on.
getDebug() - Method in class weka.datagenerators.DataGenerator
  Gets the debug flag.
getDebug() - Method in class weka.estimators.CheckEstimator
  Get whether debugging is turned on
getDebug() - Method in class weka.estimators.Estimator
  Get whether debugging is turned on.
getDebug() - Method in class weka.experiment.DatabaseUtils
  Gets whether there should be printed some debugging output to stderr or not.
getDebug() - Method in interface weka.experiment.InstanceQueryAdapter
  Gets whether there should be printed some debugging output to stderr or not.
getDebug() - Method in class weka.filters.Filter
  Get whether debugging is turned on.
getDebug() - Method in class weka.filters.unsupervised.attribute.AddExpression
  Gets whether debug is set
getDebug() - Method in class weka.gui.DatabaseConnectionDialog
  Returns the debug flag
getDebug() - Method in class weka.gui.scripting.ScriptingPanel
  Returns whether debugging mode is on.
getDebug() - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
  returns whether debug mode is on.
getDebug() - Method in class weka.gui.streams.InstanceCounter
getDebug() - Method in class weka.gui.streams.InstanceJoiner
getDebug() - Method in class weka.gui.streams.InstanceLoader
getDebug() - Method in class weka.gui.streams.InstanceSavePanel
getDebug() - Method in class weka.gui.streams.InstanceTable
getDebug() - Method in class weka.gui.streams.InstanceViewer
getDebuggingOutput() - Method in class weka.attributeSelection.GreedyStepwise
  Get whether to output debugging info to the console
getDecay() - Method in class weka.classifiers.functions.MultilayerPerceptron
getDecimals() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Get the number of decimals to round to.
getDecision() - Method in class weka.core.pmml.jaxbbindings.Decisions
  Gets the value of the decision property.
getDecisions() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the decisions property.
getDefault() - Method in class weka.core.Tee
  returns the default printstrean, can be NULL.
getDefaultChild() - Method in class weka.core.pmml.jaxbbindings.Node
  Gets the value of the defaultChild property.
getDefaultColNameWidth() - Method in class weka.experiment.ResultMatrix
  returns the default width for the column names.
getDefaultColNameWidth() - Method in class weka.experiment.ResultMatrixGnuPlot
  returns the default width for the column names.
getDefaultConfidence() - Method in class weka.core.pmml.jaxbbindings.RuleSet
  Gets the value of the defaultConfidence property.
getDefaultCountWidth() - Method in class weka.experiment.ResultMatrix
  returns the default width for the counts.
getDefaultCountWidth() - Method in class weka.experiment.ResultMatrixPlainText
  returns the default width for the counts.
getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrix
  returns the default of whether column names are prefixed with the index.
getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrixCSV
  returns the default of whether column names are prefixed with the index.
getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrixGnuPlot
  returns the default of whether column names are prefixed with the index.
getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrixHTML
  returns the default of whether column names are prefixed with the index.
getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrixLatex
  returns the default of whether column names are prefixed with the index.
getDefaultEnumerateRowNames() - Method in class weka.experiment.ResultMatrix
  returns theh default of whether row names are prefixed with the index.
getDefaultEnumerateRowNames() - Method in class weka.experiment.ResultMatrixGnuPlot
  returns the default of whether row names are prefixed with the index.
getDefaultExtension() - Method in class weka.gui.scripting.GroovyScript
  Returns the default extension.
getDefaultExtension() - Method in class weka.gui.scripting.JythonScript
  Returns the default extension.
getDefaultExtension() - Method in class weka.gui.scripting.Script
  Returns the default extension.
getDefaultMeanPrec() - Method in class weka.experiment.ResultMatrix
  returns the default precision for the means.
getDefaultMeanWidth() - Method in class weka.experiment.ResultMatrix
  returns the default width for the mean.
getDefaultNumDecimals() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns the default number of digits to output after the decimal point.
getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrix
  returns the default of whether column names or numbers instead are printed.
getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrixCSV
  returns the default of whether column names or numbers instead are printed.
getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrixHTML
  returns the default of whether column names or numbers instead are printed.
getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrixLatex
  returns the default of whether column names or numbers instead are printed.
getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrixSignificance
  returns the default of whether column names or numbers instead are printed.
getDefaultPrintRowNames() - Method in class weka.experiment.ResultMatrix
  returns the default of whether row names or numbers instead are printed.
getDefaultRemoveFilterName() - Method in class weka.experiment.ResultMatrix
  returns the default of whether the filter classname is removed from the dataset name.
getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrix
  returns the default width for the row names.
getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixCSV
  returns the default width for the row names.
getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixGnuPlot
  returns the default width for the row names.
getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixHTML
  returns the default width for the row names.
getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixPlainText
  returns the default width for the row names.
getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixSignificance
  returns the default width for the row names.
getDefaultScore() - Method in class weka.core.pmml.jaxbbindings.RuleSet
  Gets the value of the defaultScore property.
getDefaultShowAverage() - Method in class weka.experiment.ResultMatrix
  returns the default of whether average per column is displayed or not.
getDefaultShowStdDev() - Method in class weka.experiment.ResultMatrix
  returns the default of whether std deviations are displayed or not.
getDefaultShowStdDev() - Method in class weka.experiment.ResultMatrixSignificance
  returns the default of whether std deviations are displayed or not.
getDefaultSignificanceWidth() - Method in class weka.experiment.ResultMatrix
  returns the default width for the significance.
getDefaultStdDevPrec() - Method in class weka.experiment.ResultMatrix
  returns the default standard deviation precision.
getDefaultStdDevWidth() - Method in class weka.experiment.ResultMatrix
  returns the default width for the std dev.
getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.Discretize
  Gets the value of the defaultValue property.
getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
  Gets the value of the defaultValue property.
getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.MapValues
  Gets the value of the defaultValue property.
getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
  Gets the value of the defaultValue property.
getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.TargetValue
  Gets the value of the defaultValue property.
getDefaultValue() - Method in class weka.core.pmml.TargetMetaInfo
  Get the default value (numeric target)
getDefineFunction() - Method in class weka.core.pmml.jaxbbindings.TransformationDictionary
  Gets the value of the defineFunction property.
getDegree() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
  Gets the value of the degree property.
getDegreesOfFreedom() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Gets the value of the degreesOfFreedom property.
getDegreesOfFreedom() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the degreesOfFreedom property.
getDegreesOfFreedom() - Method in class weka.experiment.PairedStats
  Gets the degrees of freedom.
getDeleteEmptyBins() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Gets whether empty bins are deleted.
getDelimiter() - Method in class weka.core.pmml.jaxbbindings.Delimiter
  Gets the value of the delimiter property.
getDelimiters() - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
  Get the value of delimiters (not backquoted).
getDelimiters() - Method in class weka.gui.scripting.SyntaxDocument
  Returns the delimiter characters to use.
getDelta() - Method in class weka.associations.Apriori
  Get the value of delta.
getDelta() - Method in class weka.associations.FPGrowth
  Get the value of delta.
getDelta() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
getDelta() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
getDelta() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
  Gets the value of the delta property.
getDensityBasedClusterer() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Get the clusterer used by this filter
getDerivedField() - Method in class weka.core.pmml.jaxbbindings.BayesInput
  Gets the value of the derivedField property.
getDerivedField() - Method in class weka.core.pmml.jaxbbindings.LocalTransformations
  Gets the value of the derivedField property.
getDerivedField() - Method in class weka.core.pmml.jaxbbindings.NeuralInput
  Gets the value of the derivedField property.
getDerivedField() - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
  Gets the value of the derivedField property.
getDerivedField() - Method in class weka.core.pmml.jaxbbindings.TransformationDictionary
  Gets the value of the derivedField property.
getDerivedFields() - Method in class weka.core.pmml.MiningSchema
getDerivedValue(double[]) - Method in class weka.core.pmml.DerivedFieldMetaInfo
  Get the derived field value for the given incoming vector of values.
getDescendantPopulationSize() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
getDescendantPopulationSize() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
getDescription() - Method in class weka.core.pmml.jaxbbindings.Decision
  Gets the value of the description property.
getDescription() - Method in class weka.core.pmml.jaxbbindings.Decisions
  Gets the value of the description property.
getDescription() - Method in class weka.core.pmml.jaxbbindings.Header
  Gets the value of the description property.
getDescription() - Method in class weka.core.pmml.jaxbbindings.LinearKernelType
  Gets the value of the description property.
getDescription() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
  Gets the value of the description property.
getDescription() - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
  Gets the value of the description property.
getDescription() - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
  Gets the value of the description property.
getDescription() - Method in class weka.gui.ExtensionFileFilter
  Gets the description of accepted files.
getDescription() - Method in class weka.gui.visualize.BMPWriter
  returns the name of the writer, to display in the FileChooser.
getDescription() - Method in class weka.gui.visualize.JComponentWriter
  returns the name of the writer, to display in the FileChooser.
getDescription() - Method in class weka.gui.visualize.JPEGWriter
  returns the name of the writer, to display in the FileChooser.
getDescription() - Method in class weka.gui.visualize.PNGWriter
  returns the name of the writer, to display in the FileChooser.
getDescription() - Method in class weka.gui.visualize.PostscriptWriter
  returns the name of the writer, to display in the FileChooser.
getDesignVersion() - Method in interface weka.gui.visualize.plugins.ErrorVisualizePlugin
  Get the specific version of Weka the class is designed for.
getDesignVersion() - Method in interface weka.gui.visualize.plugins.GraphVisualizePlugin
  Get the specific version of Weka the class is designed for.
getDesignVersion() - Method in interface weka.gui.visualize.plugins.TreeVisualizePlugin
  Get the specific version of Weka the class is designed for.
getDesignVersion() - Method in interface weka.gui.visualize.plugins.VisualizePlugin
  Get the specific version of Weka the class is designed for.
getDesiredWeightOfInstancesPerInterval() - Method in class weka.filters.unsupervised.attribute.Discretize
  Get the DesiredWeightOfInstancesPerInterval value.
getDestination() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the default destination.
getDetectionPerAttribute() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Gets whether an Outlier/ExtremeValue attribute pair is generated for each numeric attribute ("true") or just one pair for all numeric attributes together ("false").
getDeviceConfiguration() - Method in class weka.gui.visualize.PostscriptGraphics
getDF() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the df property.
getDf() - Method in class weka.core.pmml.jaxbbindings.PCell
  Gets the value of the df property.
getDiagDefault() - Method in class weka.core.pmml.jaxbbindings.Matrix
  Gets the value of the diagDefault property.
getDictionary() - Method in class weka.classifiers.functions.SGDText
  Get this model's dictionary (including term weights).
getDictionarySize() - Method in class weka.classifiers.functions.SGDText
  Return the size of the dictionary (minus any low frequency terms that are below the threshold but haven't been pruned yet).
getDir() - Method in class weka.core.Javadoc
  returns the current dir containing the class to update.
getDir() - Method in class weka.gui.Loader
  returns the dir prefix
getDirection() - Method in class weka.attributeSelection.BestFirst
  Get the search direction
getDirectory() - Method in class weka.core.converters.TextDirectoryLoader
  get the Dir specified as the source
getDirectory() - Method in class weka.gui.beans.SerializedModelSaver
  Get the directory that the model(s) will be saved into
getDiscardPredictions() - Method in class weka.classifiers.evaluation.Evaluation
  Returns whether predictions are not recorded at all, in order to conserve memory.
getDiscardPredictions() - Method in class weka.classifiers.Evaluation
  Returns whether predictions are not recorded at all, in order to conserve memory.
getDiscretize() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the discretize property.
getDiscretize() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the discretize property.
getDiscretize() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the discretize property.
getDiscretizeBin() - Method in class weka.core.pmml.jaxbbindings.Discretize
  Gets the value of the discretizeBin property.
getDiscretizer() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Return the discretizer used at this node
getDiscrStats() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Gets the value of the discrStats property.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns a short display text, to be used in comboboxes.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.CSV
  Returns a short display text, to be used in comboboxes.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.HTML
  Returns a short display text, to be used in comboboxes.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.Null
  Returns a short display text, to be used in comboboxes.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.PlainText
  Returns a short display text, to be used in comboboxes.
getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.XML
  Returns a short display text, to be used in comboboxes.
getDisplay() - Method in enum weka.core.TechnicalInformation.Field
  returns the display string
getDisplay() - Method in enum weka.core.TechnicalInformation.Type
  returns the display string
getDisplayCol(int) - Method in class weka.experiment.ResultMatrix
  returns the displayed index of the given col, depending on the order of columns, returns -1 if index out of bounds.
getDisplayedResultsets() - Method in class weka.experiment.PairedTTester
  Gets the indices of the the datasets that are displayed (if `null` then all are displayed).
getDisplayedResultsets() - Method in interface weka.experiment.Tester
  Gets the indices of the the datasets that are displayed (if `null` then all are displayed).
getDisplayModelInOldFormat() - Method in class weka.classifiers.bayes.NaiveBayes
  Get whether to display model output in the old, original format.
getDisplayModelInOldFormat() - Method in class weka.clusterers.EM
  Get whether to display model output in the old, original format.
getDisplayName() - Method in class weka.core.pmml.jaxbbindings.DataField
  Gets the value of the displayName property.
getDisplayName() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the displayName property.
getDisplayName() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the displayName property.
getDisplayName() - Method in class weka.core.pmml.jaxbbindings.ResultField
  Gets the value of the displayName property.
getDisplayName() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
  Gets the value of the displayName property.
getDisplayName() - Method in class weka.core.pmml.jaxbbindings.TimeCycle
  Gets the value of the displayName property.
getDisplayName() - Method in class weka.experiment.PairedCorrectedTTester
  returns the name of the tester
getDisplayName() - Method in class weka.experiment.PairedTTester
  returns the name of the tester
getDisplayName() - Method in class weka.experiment.ResultMatrix
  returns the name of the output format.
getDisplayName() - Method in class weka.experiment.ResultMatrixCSV
  returns the name of the output format.
getDisplayName() - Method in class weka.experiment.ResultMatrixGnuPlot
  returns the name of the output format.
getDisplayName() - Method in class weka.experiment.ResultMatrixHTML
  returns the name of the output format.
getDisplayName() - Method in class weka.experiment.ResultMatrixLatex
  returns the name of the output format.
getDisplayName() - Method in class weka.experiment.ResultMatrixPlainText
  returns the name of the output format.
getDisplayName() - Method in class weka.experiment.ResultMatrixSignificance
  returns the name of the output format.
getDisplayName() - Method in interface weka.experiment.Tester
  returns the name of the testing algorithm
getDisplayRow(int) - Method in class weka.experiment.ResultMatrix
  returns the displayed index of the given row, depending on the order of rows, returns -1 if index out of bounds.
getDisplayRules() - Method in class weka.classifiers.rules.DecisionTable
  Gets whether rules are being printed
getDisplayStdDevs() - Method in class weka.clusterers.SimpleKMeans
  Gets whether standard deviations and nominal count.
getDisplayValue() - Method in class weka.core.pmml.FieldMetaInfo.Value
getDisplayValue() - Method in class weka.core.pmml.jaxbbindings.Decision
  Gets the value of the displayValue property.
getDisplayValue() - Method in class weka.core.pmml.jaxbbindings.TargetValue
  Gets the value of the displayValue property.
getDisplayValue() - Method in class weka.core.pmml.jaxbbindings.Value
  Gets the value of the displayValue property.
getDistance() - Method in class weka.core.FilteredDistance
  Gets the distance used.
getDistanceFunction() - Method in class weka.clusterers.HierarchicalClusterer
getDistanceFunction() - Method in class weka.clusterers.SimpleKMeans
  returns the distance function currently in use.
getDistanceFunction() - Method in class weka.core.neighboursearch.KDTree
  returns the distance function currently in use.
getDistanceFunction() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  returns the distance function currently in use.
getDistanceIsBranchLength() - Method in class weka.clusterers.HierarchicalClusterer
getDistances() - Method in class weka.core.neighboursearch.BallTree
  Returns the distances of the k nearest neighbours.
getDistances() - Method in class weka.core.neighboursearch.CoverTree
  Returns the distances of the (k)-NN(s) found earlier by kNearestNeighbours()/nearestNeighbour().
getDistances() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Returns the distances for the nearest neighbours in the FILTERED space
getDistances() - Method in class weka.core.neighboursearch.KDTree
  Returns the distances to the kNearest or 1 nearest neighbour currently found with either the kNearestNeighbours or the nearestNeighbour method.
getDistances() - Method in class weka.core.neighboursearch.LinearNNSearch
  Returns the distances of the k nearest neighbours.
getDistances() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Returns the distances of the k nearest neighbours.
getDistanceWeighting() - Method in class weka.classifiers.lazy.IBk
  Gets the distance weighting method used.
getDistMult() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the distance multiplier.
getDistParameter() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the distParameter property.
getDistribution(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  returns distribution of a node in matrix form with matrix representing distribution with P[i][j] = P(node = j | parent configuration = i)
getDistribution(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  returns distribution of a node in matrix form with matrix representing distribution with P[i][j] = P(node = j | parent configuration = i)
getDistribution(Instance, Attribute) - Method in class weka.classifiers.trees.ht.HNode
  Return a class probability distribution computed from the frequency counts at this node
getDistribution(Instance, Attribute) - Method in class weka.classifiers.trees.ht.NBNode
getDistribution(Instance, Attribute) - Method in class weka.classifiers.trees.ht.NBNodeAdaptive
getDistribution() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the distribution property.
getDistribution() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Returns the current distribution that'll be used for calculating the random matrix
getDistributions() - Method in class weka.classifiers.bayes.BayesNet
  Get full set of estimators.
getDistributions(int) - Method in class weka.classifiers.rules.RuleStats
  Get the class distribution predicted by the rule in given position
getDistributionSpread() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Gets the value for the distribution spread
getDocType() - Method in class weka.core.xml.XMLDocument
  returns the current DOCTYPE, can be `null`.
getDocument() - Method in class weka.core.xml.XMLDocument
  returns the parsed DOM document.
getDocument() - Method in class weka.core.xml.XMLOptions
  returns the parsed DOM document.
getDocument() - Method in class weka.gui.DocumentPrinting
  Returns the document to print.
getDocumentNormalization() - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
  Gets the value of the documentNormalization property.
getDoNotCheckCapabilities() - Method in class weka.associations.AbstractAssociator
  Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.attributeSelection.ASEvaluation
  Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.classifiers.AbstractClassifier
  Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.classifiers.functions.supportVector.Kernel
  Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.clusterers.AbstractClusterer
  Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in interface weka.core.CapabilitiesIgnorer
  Returns true if we do not actually want to check capabilities to conserver runtime.
getDoNotCheckCapabilities() - Method in class weka.core.converters.AbstractSaver
  Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.core.FindWithCapabilities
  Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.estimators.Estimator
  Get whether capabilities checking is turned off.
getDoNotCheckCapabilities() - Method in class weka.filters.Filter
  Get whether capabilities checking is turned off.
getDoNotMakeSplitPointActualValue() - Method in class weka.classifiers.rules.PART
  Gets the value of doNotMakeSplitPointActualValue.
getDoNotMakeSplitPointActualValue() - Method in class weka.classifiers.trees.J48
  Gets the value of doNotMakeSplitPointActualValue.
getDoNotMakeSplitPointActualValue() - Method in class weka.classifiers.trees.LMT
  Gets the value of doNotMakeSplitPointActualValue.
getDoNotOperateOnPerClassBasis() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Get the DoNotOperateOnPerClassBasis value.
getDoNotPrintModels() - Method in class weka.classifiers.meta.Vote
  Get whether to print the individual ensemble models in the output
getDontCalculateOutOfBagError() - Method in class weka.classifiers.trees.RandomForest
  Get whether to turn off the calculation of out of bag error
getDontFilterAfterFirstBatch() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Get whether to apply the filter to instances that arrive once the first (training) batch has been seen.
getDontNormalize() - Method in class weka.classifiers.functions.SGD
  Get whether normalization has been turned off.
getDontNormalize() - Method in class weka.core.NormalizableDistance
  Gets whether if the attribute values are to be normazlied in distance calculation.
getDontReplaceMissing() - Method in class weka.classifiers.functions.SGD
  Get whether global replacement of missing values has been disabled.
getDontReplaceMissingValues() - Method in class weka.clusterers.Canopy
  Gets whether missing values are to be replaced.
getDontReplaceMissingValues() - Method in class weka.clusterers.SimpleKMeans
  Gets whether missing values are to be replaced.
getDontShowDialog(String) - Static method in class weka.core.Utils
  For a named dialog, returns true if the user has opted not to view it again in the future.
getDontShowDialogResponse(String) - Static method in class weka.core.Utils
  For a named dialog, if the user has opted not to view it again, returns the answer the answer the user supplied when they closed the dialog.
getDoublePivot() - Method in class weka.core.matrix.LUDecomposition
  Return pivot permutation vector as a one-dimensional double array
getEditedStatus() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
  Get the edited status of the currently selected tab.
getEditedStatus(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
  Get the edited status of the tab at the supplied index.
getEditor() - Method in class weka.gui.PropertyDialog
  Gets the current property editor.
getEditorActive() - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
  Returns true if the editor is currently in an active status---that is the array is active and able to be edited.
getEigenValues() - Method in class weka.attributeSelection.PrincipalComponents
  Return the eigenvalues corresponding to the eigenvectors
getElement(int, int) - Method in class weka.classifiers.CostMatrix
  Return the value of a cell as a double (for legacy code)
getElement(int, int, Instance) - Method in class weka.classifiers.CostMatrix
  Return the value of a cell as a double.
getElement(int) - Method in class weka.core.AlgVector
  Returns the value of a cell in the matrix.
getElement(int, int) - Method in class weka.core.Matrix
  Deprecated.
  Returns the value of a cell in the matrix.
getElementAt(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Returns the component at the specified index.
getElements() - Method in class weka.core.AlgVector
  Gets the elements of the vector and returns them as double array.
getEliminateColinearAttributes() - Method in class weka.classifiers.functions.LinearRegression
  Get the value of EliminateColinearAttributes.
getEnabled() - Method in class weka.core.Debug
  returns whether the logging is enabled
getEnclosureCharacters() - Method in class weka.core.converters.CSVLoader
  Get the character(s) to use/recognize as string enclosures
getEndTime() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
  Gets the value of the endTime property.
getEndTimeVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the endTimeVariable property.
getEntropicAutoBlend() - Method in class weka.classifiers.lazy.KStar
  Get whether entropic blending being used
getEntry(double) - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
  Returns the table entry to which the specified key is mapped in this hashtable.
getEntry(String, String, Class<?>) - Method in interface weka.gui.beans.KFMetaStore
  Get a named entry from the store
getEntry(String, String, Class<?>) - Method in class weka.gui.beans.XMLFileBasedKFMetaStore
getEnumerateColNames() - Method in class weka.experiment.ResultMatrix
  returns whether column names are prefixed with the index.
getEnumerateRowNames() - Method in class weka.experiment.ResultMatrix
  returns whether row names or prefixed with the index.
getEnvironment() - Method in class weka.gui.beans.FlowRunner
  Get the environment variables that are in use.
getEnvironmentSettings() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getEnvironmentSettings(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getEpochs() - Method in class weka.classifiers.functions.SGD
  Get current number of epochs
getEpochs() - Method in class weka.classifiers.functions.SGDText
  Get current number of epochs
getEpsilon() - Method in class weka.classifiers.functions.SGD
  Get the epsilon threshold on the error for epsilon insensitive and Huber loss functions
getEpsilon() - Method in class weka.classifiers.functions.SMO
  Get the value of epsilon.
getEpsilon() - Method in class weka.classifiers.functions.supportVector.RegSMO
  Get the value of epsilon.
getEpsilonParameter() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  Get the value of epsilon parameter of the epsilon insensitive loss function.
getError() - Method in class weka.classifiers.BVDecompose
  Get the calculated error rate
getError() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Get the calculated error rate
getErrorOnProbabilities() - Method in class weka.classifiers.functions.SimpleLogistic
  Get the value of errorOnProbabilities.
getErrorOnProbabilities() - Method in class weka.classifiers.trees.LMT
  Get the value of errorOnProbabilities.
getErrorPlotPointSizeProportionalToMargin() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Get whether the point size on classification error plots should be proportional to the prediction margin.
getErrors() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Return the errors made by the naive bayes model at this node
getErrors() - Method in class weka.classifiers.trees.j48.NBTreeSplit
  Return the errors made by the naive bayes models arising from this split.
getEstimatedErrorsForLeaf() - Method in class weka.classifiers.rules.part.C45PruneableDecList
  Computes estimated errors for leaf.
getEstimator() - Method in class weka.classifiers.bayes.BayesNet
  Get the BayesNetEstimator used for calculating the CPTs
getEstimator() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Get the estimator
getEstimator() - Method in class weka.estimators.CheckEstimator
  Get the estimator used as the estimator
getEstimator(double) - Method in interface weka.estimators.ConditionalEstimator
  Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.DDConditionalEstimator
  Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.DKConditionalEstimator
  Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.DNConditionalEstimator
  Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.KDConditionalEstimator
  Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.KKConditionalEstimator
  Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.NDConditionalEstimator
  Get a probability estimator for a value
getEstimator(double) - Method in class weka.estimators.NNConditionalEstimator
  Get a probability estimator for a value
getEuclidean() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the euclidean property.
getEvaluation() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Returns the Evaluation object in use.
getEvaluationMeasure() - Method in class weka.attributeSelection.WrapperSubsetEval
  Gets the currently set performance evaluation measure used for selecting attributes for the decision table
getEvaluationMeasure() - Method in class weka.classifiers.rules.DecisionTable
  Gets the currently set performance evaluation measure used for selecting attributes for the decision table
getEvaluationMetric() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Get the evaluation metric to use
getEvaluationMetricsToOutput() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Get the evaluation metrics to output (as a comma-separated list).
getEvaluator() - Method in class weka.attributeSelection.CheckAttributeSelection
  Get the current evaluator
getEvaluator() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Gets the attribute evaluator used
getEvaluator() - Method in class weka.filters.supervised.attribute.AttributeSelection
  Get the name of the attribute/subset evaluator
getEvalUsingTrainingData() - Method in class weka.attributeSelection.OneRAttributeEval
  Returns true if the training data is to be used for evaluation
getEventName() - Method in class weka.gui.beans.BeanConnection
  Returns the name of the event for this conncetion
getEventSetDescriptors() - Method in class weka.gui.beans.AbstractDataSinkBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.AbstractDataSourceBeanInfo
  Get the event set descriptors pertinent to data sources
getEventSetDescriptors() - Method in class weka.gui.beans.AbstractTestSetProducerBeanInfo
getEventSetDescriptors() - Method in class weka.gui.beans.AbstractTrainAndTestSetProducerBeanInfo
getEventSetDescriptors() - Method in class weka.gui.beans.AbstractTrainingSetProducerBeanInfo
  Returns event set descriptors for this type of bean
getEventSetDescriptors() - Method in class weka.gui.beans.AppenderBeanInfo
  Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.AssociatorBeanInfo
getEventSetDescriptors() - Method in class weka.gui.beans.AttributeSummarizerBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.ClassAssignerBeanInfo
  Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.ClassifierBeanInfo
getEventSetDescriptors() - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
getEventSetDescriptors() - Method in class weka.gui.beans.ClassValuePickerBeanInfo
  Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.ClustererBeanInfo
getEventSetDescriptors() - Method in class weka.gui.beans.ClustererPerformanceEvaluatorBeanInfo
getEventSetDescriptors() - Method in class weka.gui.beans.CostBenefitAnalysisBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.DataVisualizerBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.FilterBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.FlowByExpressionBeanInfo
  Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.GraphViewerBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.ImageSaverBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.ImageViewerBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.InstanceStreamToBatchMakerBeanInfo
  Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.JoinBeanInfo
  Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.ModelPerformanceChartBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.NoteBeanInfo
getEventSetDescriptors() - Method in class weka.gui.beans.PredictionAppenderBeanInfo
  Get the event set descriptors pertinent to data sources
getEventSetDescriptors() - Method in class weka.gui.beans.ScatterPlotMatrixBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.SerializedModelSaverBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.SorterBeanInfo
  Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.StripChartBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.SubstringLabelerBeanInfo
  Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.SubstringReplacerBeanInfo
  Returns the event set descriptors
getEventSetDescriptors() - Method in class weka.gui.beans.TextSaverBeanInfo
  Get the event set descriptors for this bean
getEventSetDescriptors() - Method in class weka.gui.beans.TextViewerBeanInfo
  Get the event set descriptors for this bean
getEvidence(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  get evidence state of a node.
getException() - Method in class weka.gui.sql.event.ConnectionEvent
  returns the stored exception, if any (can be NULL)
getException() - Method in class weka.gui.sql.event.QueryExecuteEvent
  returns the exception, if one happened, otherwise NULL
getExecuting() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getExecuting(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getExecutionSlots() - Method in class weka.gui.beans.Classifier
  Get the number of execution slots (threads) used to train models.
getExecutionSlots() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Get the number of execution slots to use.
getExecutionStatus() - Method in class weka.experiment.TaskStatusInfo
  Get the execution status of this Task.
getExecutionThread() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getExecutionThread(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getExitIfNoWindowsOpen() - Static method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Gets whether System.exit gets called after the last window gets closed
getExitOnClose() - Method in class weka.gui.arffviewer.ArffViewer
  returns TRUE if a System.exit(0) is done on a close
getExitOnClose() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns TRUE if a System.exit(0) is done on a close
getExpectedResultsPerAverage() - Method in class weka.experiment.AveragingResultProducer
  Get the value of ExpectedResultsPerAverage.
getExperiment() - Method in class weka.experiment.RemoteExperimentSubTask
  Get the experiment for this sub task
getExperiment() - Method in class weka.gui.experiment.SetupModePanel
  Gets the currently configured experiment.
getExperiment() - Method in class weka.gui.experiment.SetupPanel
  Gets the currently configured experiment.
getExperiment() - Method in class weka.gui.experiment.SimpleSetupPanel
  Gets the currently configured experiment.
getExperimentType() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the default experiment type.
getExplicitPropsFile() - Method in class weka.gui.GenericPropertiesCreator
  returns TRUE, if a file is loaded and not the Utils class used for locating the props file.
getExplorer() - Method in class weka.gui.explorer.AssociationsPanel
  returns the parent Explorer frame
getExplorer() - Method in class weka.gui.explorer.AttributeSelectionPanel
  returns the parent Explorer frame
getExplorer() - Method in class weka.gui.explorer.ClassifierPanel
  returns the parent Explorer frame.
getExplorer() - Method in class weka.gui.explorer.ClustererPanel
  returns the parent Explorer frame
getExplorer() - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
  returns the parent Explorer frame
getExplorer() - Method in class weka.gui.explorer.PreprocessPanel
  returns the parent Explorer frame
getExplorer() - Method in class weka.gui.explorer.VisualizePanel
  returns the parent Explorer frame
getExponent() - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Gets the exponent value.
getExponent() - Method in class weka.classifiers.functions.VotedPerceptron
  Get the value of exponent.
getExponent() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the exponent property.
getExponent() - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
  Gets the value of the exponent property.
getExpression(Node, FieldMetaInfo.Optype, ArrayList<Attribute>, TransformationDictionary) - Static method in class weka.core.pmml.Expression
  Static factory method that returns a subclass of Expression that encapsulates the type of expression contained in the Element supplied.
getExpression(String, Node, FieldMetaInfo.Optype, ArrayList<Attribute>, TransformationDictionary) - Static method in class weka.core.pmml.Expression
  Static factory method that returns a subclass of Expression that encapsulates the type of expression supplied as an argument.
getEXPRESSION() - Method in class weka.core.pmml.jaxbbindings.Apply
  Gets the value of the expression property.
getExpression() - Method in class weka.datagenerators.classifiers.regression.Expression
  Gets the mathematical expression for generating y out of x
getExpression() - Method in class weka.filters.unsupervised.attribute.AddExpression
  Get the expression
getExpression() - Method in class weka.filters.unsupervised.attribute.MathExpression
  Get the expression
getExpression() - Method in class weka.filters.unsupervised.attribute.RemoveByName
  Returns the regular expression in use.
getExpression() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Returns the expression used for filtering.
getExpressionString() - Method in class weka.gui.beans.FlowByExpression
  Get the current expression (in internal format)
getExtender() - Method in class weka.core.pmml.jaxbbindings.Extension
  Gets the value of the extender property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Aggregate
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Alternate
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Anova
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Application
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Apply
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Attribute
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Baseline
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BaselineCell
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BayesInput
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BayesInputs
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BayesOutput
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BoundaryValueMeans
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.BoundaryValues
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Categories
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Category
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Characteristic
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Characteristics
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Chebychev
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CityBlock
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ClassLabels
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Cluster
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Coefficient
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Coefficients
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Comparisons
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CompoundPredicate
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Con1
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ContStats
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CorrelationFields
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CorrelationMethods
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Correlations
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CorrelationValues
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Counts
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Covariances
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.CovariateList
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DataDictionary
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DataField
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Decision
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Decisions
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Delimiter
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Discretize
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DiscrStats
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.DocumentTermMatrix
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Euclidean
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.EventValues
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.FactorList
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.False
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.FieldRef
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.FieldValue
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Header
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.InlineTable
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.InstanceField
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.InstanceFields
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Interval
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Item
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ItemRef
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Itemset
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Jaccard
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.KNNInput
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.KNNInputs
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.KohonenMap
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.LiftData
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.LinearKernelType
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.LinearNorm
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.LocalTransformations
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MapValues
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MiningBuildTask
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MiningField
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MiningSchema
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Minkowski
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MissingValueWeights
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ModelLiftGraph
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ModelStats
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.MultivariateStats
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralInput
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralInputs
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralOutputs
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Neuron
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.OptimumLiftGraph
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Output
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PairCounts
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Parameter
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ParameterList
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ParamMatrix
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Partition
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PCell
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PCovMatrix
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PMML
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PoissonDistribution
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PPCell
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PPMatrix
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Predictor
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Quantile
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.RandomLiftGraph
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Regression
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ResultField
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ROC
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ROCGraph
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.RuleSelectionMethod
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.RuleSet
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Segmentation
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Sequence
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SequenceReference
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SetReference
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SimpleMatching
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SquaredEuclidean
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SupportVector
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.SupportVectors
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TableLocator
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Tanimoto
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Target
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Targets
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TargetValue
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TargetValueCounts
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Taxonomy
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TextCorpus
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TextDictionary
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TextDocument
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TextModelSimiliarity
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Time
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.TransformationDictionary
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.True
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.Value
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.VectorFields
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.VectorInstance
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.VerificationField
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.VerificationFields
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.XCoordinates
  Gets the value of the extension property.
getExtension() - Method in class weka.core.pmml.jaxbbindings.YCoordinates
  Gets the value of the extension property.
getExtension() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the default experiment extension.
getExtension() - Method in class weka.gui.visualize.BMPWriter
  returns the extension (incl.
getExtension() - Method in class weka.gui.visualize.JComponentWriter
  returns the extension (incl.
getExtension() - Method in class weka.gui.visualize.JPEGWriter
  returns the extension (incl.
getExtension() - Method in class weka.gui.visualize.PNGWriter
  returns the extension (incl.
getExtension() - Method in class weka.gui.visualize.PostscriptWriter
  returns the extension (incl.
getExtensionAndDelimiterAndTime() - Method in class weka.core.pmml.jaxbbindings.Sequence
  Gets the value of the extensionAndDelimiterAndTime property.
getExtensions() - Method in class weka.gui.ExtensionFileFilter
  Returns a copy of the acceptable extensions.
getExtremeValuesAsOutliers() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Get whether extreme values are also tagged as outliers.
getExtremeValuesFactor() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Gets the factor for determining the thresholds for extreme values.
getFactory() - Method in class weka.core.xml.XMLDocument
  returns the DocumentBuilderFactory.
getFailReason() - Method in class weka.core.Capabilities
  returns the reason why the tests failed, is null if tests succeeded
getFallout() - Method in class weka.classifiers.evaluation.TwoClassStats
  Calculate the fallout.
getFalse() - Method in class weka.core.pmml.jaxbbindings.Attribute
  Gets the value of the false property.
getFalse() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
  Gets the value of the false property.
getFalse() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the false property.
getFalse() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the false property.
getFalseNegative() - Method in class weka.classifiers.evaluation.TwoClassStats
  Gets the number of positive instances predicted as negative
getFalsePositive() - Method in class weka.classifiers.evaluation.TwoClassStats
  Gets the number of negative instances predicted as positive
getFalsePositiveRate() - Method in class weka.classifiers.evaluation.TwoClassStats
  Calculate the false positive rate.
getFalseStepName() - Method in class weka.gui.beans.FlowByExpression
  Get the name of the connected step to send "false" instances to
getFastDistanceCalc() - Method in class weka.clusterers.SimpleKMeans
  Gets whether to use faster distance calculation.
getFastRegression() - Method in class weka.classifiers.trees.LMT
  Get the value of fastRegression.
getFeature() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the feature property.
getFeature() - Method in class weka.core.pmml.jaxbbindings.ResultField
  Gets the value of the feature property.
getField() - Method in class weka.core.pmml.jaxbbindings.Aggregate
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.Discretize
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.FieldRef
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.FieldValue
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.InstanceField
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.KNNInput
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.Target
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Gets the value of the field property.
getField() - Method in class weka.core.pmml.jaxbbindings.VerificationField
  Gets the value of the field property.
getFieldAsAttribute() - Method in class weka.core.pmml.DerivedFieldMetaInfo
  Get this derived field as an Attribute.
getFieldAsAttribute() - Method in class weka.core.pmml.FieldMetaInfo
  Return this field as an Attribute.
getFieldAsAttribute() - Method in class weka.core.pmml.MiningFieldMetaInfo
  Return this mining field as an Attribute.
getFieldAsAttribute() - Method in class weka.core.pmml.TargetMetaInfo
  Return this field as an Attribute.
getFieldColumnPair() - Method in class weka.core.pmml.jaxbbindings.MapValues
  Gets the value of the fieldColumnPair property.
getFieldCount() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
  Gets the value of the fieldCount property.
getFieldCount() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Gets the value of the fieldCount property.
getFieldDef(String) - Method in class weka.core.pmml.Expression
  Return the named attribute from the list of reference fields.
getFieldDefIndex(String) - Method in class weka.core.pmml.Expression
getFieldName() - Method in class weka.core.pmml.FieldMetaInfo
  Get the name of this field.
getFieldName() - Method in class weka.core.pmml.jaxbbindings.BayesInput
  Gets the value of the fieldName property.
getFieldName() - Method in class weka.core.pmml.jaxbbindings.BayesOutput
  Gets the value of the fieldName property.
getFieldRef() - Method in class weka.core.pmml.jaxbbindings.Baseline
  Gets the value of the fieldRef property.
getFieldRef() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the fieldRef property.
getFieldRef() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the fieldRef property.
getFieldRef() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the fieldRef property.
getFieldRef() - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
  Gets the value of the fieldRef property.
getFieldRef() - Method in class weka.core.pmml.jaxbbindings.VectorFields
  Gets the value of the fieldRef property.
getFieldsAsInstances() - Method in class weka.core.pmml.MiningSchema
  Get the all the fields (both mining schema and derived) as Instances.
getFieldSeparator() - Method in class weka.core.converters.CSVLoader
  Returns the character used as column separator.
getFieldSeparator() - Method in class weka.core.converters.CSVSaver
  Returns the character used as column separator.
getFieldsMappingString() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
  Get a textual description of the mapping between mining schema fields and incoming data fields.
getFieldsMappingString() - Method in class weka.core.pmml.MappingInfo
  Get a textual description of them mapping between mining schema fields and incoming data fields.
getFieldValue() - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
  Gets the value of the fieldValue property.
getFieldValue() - Method in class weka.core.pmml.jaxbbindings.FieldValue
  Gets the value of the fieldValue property.
getFieldValueCount() - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
  Gets the value of the fieldValueCount property.
getFieldValueCount() - Method in class weka.core.pmml.jaxbbindings.FieldValue
  Gets the value of the fieldValueCount property.
getFieldWeight() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Gets the value of the fieldWeight property.
getFieldWeight() - Method in class weka.core.pmml.jaxbbindings.KNNInput
  Gets the value of the fieldWeight property.
getFile() - Method in class weka.core.pmml.jaxbbindings.TextDocument
  Gets the value of the file property.
getFile() - Method in class weka.gui.visualize.JComponentWriter
  returns the file being used for storing the output
getFileDescription() - Method in class weka.core.converters.AbstractFileSaver
  to be pverridden
getFileDescription() - Method in class weka.core.converters.ArffLoader
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.ArffSaver
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.C45Loader
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.C45Saver
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.CSVLoader
getFileDescription() - Method in class weka.core.converters.CSVSaver
  Returns a description of the file type.
getFileDescription() - Method in interface weka.core.converters.FileSourcedConverter
  Get a one line description of the type of file
getFileDescription() - Method in class weka.core.converters.JSONLoader
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.JSONSaver
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.LibSVMLoader
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.LibSVMSaver
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.MatlabLoader
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.MatlabSaver
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.SerializedInstancesLoader
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.SerializedInstancesSaver
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.SVMLightLoader
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.SVMLightSaver
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.TextDirectoryLoader
  Returns a description of the file type, actually it's directories.
getFileDescription() - Method in class weka.core.converters.XRFFLoader
  Returns a description of the file type.
getFileDescription() - Method in class weka.core.converters.XRFFSaver
  Returns a description of the file type.
getFileExtension() - Method in class weka.core.converters.AbstractFileSaver
  Gets ihe file extension.
getFileExtension() - Method in class weka.core.converters.AbstractSaver
  Default implementation throws an IOException.
getFileExtension() - Method in class weka.core.converters.ArffLoader
  Get the file extension used for arff files
getFileExtension() - Method in class weka.core.converters.C45Loader
  Get the file extension used for arff files
getFileExtension() - Method in class weka.core.converters.CSVLoader
getFileExtension() - Method in interface weka.core.converters.FileSourcedConverter
  Get the file extension used for this type of file
getFileExtension() - Method in class weka.core.converters.JSONLoader
  Get the file extension used for JSON files.
getFileExtension() - Method in class weka.core.converters.LibSVMLoader
  Get the file extension used for libsvm files.
getFileExtension() - Method in class weka.core.converters.MatlabLoader
  Get the file extension used for libsvm files.
getFileExtension() - Method in interface weka.core.converters.Saver
  Gets the file extension
getFileExtension() - Method in class weka.core.converters.SerializedInstancesLoader
  Get the file extension used for arff files
getFileExtension() - Method in class weka.core.converters.SVMLightLoader
  Get the file extension used for svm light files.
getFileExtension() - Method in class weka.core.converters.XRFFLoader
  Get the file extension used for libsvm files
getFileExtensions() - Method in class weka.core.converters.AbstractFileSaver
  Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.ArffLoader
  Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.ArffSaver
  Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.C45Loader
  Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.CSVLoader
getFileExtensions() - Method in interface weka.core.converters.FileSourcedConverter
  Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.JSONLoader
  Gets all the file extensions used for this type of file.
getFileExtensions() - Method in class weka.core.converters.JSONSaver
  Gets all the file extensions used for this type of file.
getFileExtensions() - Method in class weka.core.converters.LibSVMLoader
  Gets all the file extensions used for this type of file.
getFileExtensions() - Method in class weka.core.converters.MatlabLoader
  Gets all the file extensions used for this type of file.
getFileExtensions() - Method in class weka.core.converters.SerializedInstancesLoader
  Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.SVMLightLoader
  Gets all the file extensions used for this type of file.
getFileExtensions() - Method in class weka.core.converters.XRFFLoader
  Gets all the file extensions used for this type of file
getFileExtensions() - Method in class weka.core.converters.XRFFSaver
  Gets all the file extensions used for this type of file
getFileFormat() - Method in class weka.gui.beans.SerializedModelSaver
  Get the file format to use for saving.
getFileLoaders() - Static method in class weka.core.converters.ConverterUtils
  returns a vector with the classnames of all the file loaders.
getFileMatches(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
  returns all the file/dir matches with the partial search string.
getFileMustExist() - Method in class weka.gui.ConverterFileChooser
  Returns whether the selected file must exist (only open dialog).
getFileName() - Method in class weka.classifiers.bayes.net.BIFReader
  returns the current filename
getFilename() - Method in class weka.core.Debug.Log
  returns the filename of the log, can be null
getFilename() - Method in class weka.core.Debug.SimpleLog
  returns the filename of the log, can be null
getFilename() - Method in class weka.core.FindWithCapabilities
  returns the current filename for the dataset to base the capabilities on.
getFilename() - Method in class weka.gui.arffviewer.ArffPanel
  returns the filename
getFilename(int) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns the filename of the specified panel
getFilename() - Method in class weka.gui.beans.ImageSaver
  Get the filename to save to
getFilename() - Method in class weka.gui.beans.TextSaver
  Get the filename to save to
getFilename() - Method in class weka.gui.scripting.Script
  Returns the current filename.
getFileSavers() - Static method in class weka.core.converters.ConverterUtils
  returns a vector with the classnames of all the file savers.
getFillWithMissing() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Gets whether missing values should be used rather than removing instances where the translated value is not known (due to border effects).
getFilter() - Method in class weka.associations.FilteredAssociator
  Gets the filter used.
getFilter() - Method in class weka.classifiers.meta.FilteredClassifier
  Gets the filter used.
getFilter() - Method in class weka.clusterers.FilteredClusterer
  Gets the filter used.
getFilter() - Method in class weka.core.FilteredDistance
  Gets the filter used.
getFilter() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Gets the filter used.
getFilter() - Method in class weka.filters.CheckSource
  Gets the filter being used for the tests, can be null.
getFilter(int) - Method in class weka.filters.MultiFilter
  Gets a single filter from the set of available filters.
getFilter(int) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Gets a single filter from the set of available filters.
getFilter() - Method in class weka.gui.beans.Filter
getFilter() - Method in class weka.gui.explorer.Explorer.CapabilitiesFilterChangeEvent
  returns the associated Capabilities filter
getFilter() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the default filter (fully configured) for the preprocess panel.
getFilterAfterFirstBatch() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Get whether to apply the filter to instances that arrive once the first (training) batch has been seen.
getFiltered(int) - Method in class weka.classifiers.rules.RuleStats
  Get the data after filtering the given rule
getFilteredInputFormat() - Method in class weka.attributeSelection.PrincipalComponents
  Return the header of the training data after all filtering - i.e missing values and nominal to binary.
getFilters() - Method in class weka.filters.MultiFilter
  Gets the list of possible filters to choose from.
getFilters() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Gets the list of possible filters to choose from.
getFilters() - Method in class weka.gui.scripting.GroovyScript
  Returns the extension filters for this type of script.
getFilters() - Method in class weka.gui.scripting.JythonScript
  Returns the extension filters for this type of script.
getFilters() - Method in class weka.gui.scripting.Script
  Returns the extension filters for this type of script.
getFilterType() - Method in class weka.classifiers.functions.GaussianProcesses
  Gets how the training data will be transformed.
getFilterType() - Method in class weka.classifiers.functions.SMO
  Gets how the training data will be transformed.
getFilterType() - Method in class weka.classifiers.functions.SMOreg
  Gets how the training data will be transformed.
getFind() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Returns the current regular expression for .
getFindAllRulesForSupportLevel() - Method in class weka.associations.FPGrowth
  Get whether all rules meeting the lower bound on min support and the minimum metric threshold are to be found.
getFindNumBins() - Method in class weka.filters.unsupervised.attribute.Discretize
  Get the value of FindNumBins.
getFindNumBins() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Get the value of FindNumBins.
getFirstToken(StreamTokenizer) - Static method in class weka.core.converters.ConverterUtils
  Gets token, skipping empty lines.
getFirstToken(StreamTokenizer) - Static method in class weka.core.converters.StreamTokenizerUtils
  Gets token, skipping empty lines.
getFirstValueIndex() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Get the index of the first value used.
getFirstValueIndex() - Method in class weka.filters.unsupervised.attribute.SwapValues
  Get the index of the first value used.
getFlag(char, String[]) - Static method in class weka.core.Utils
  Checks if the given array contains the flag "-Char".
getFlag(String, String[]) - Static method in class weka.core.Utils
  Checks if the given array contains the flag "-String".
getFlow() - Method in class weka.gui.beans.KnowledgeFlowApp
  Gets the current flow being edited.
getFlowFile() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getFlowFile(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getFlows() - Method in class weka.gui.beans.FlowRunner
  Get the vector holding the flow(s)
getFlowXML() - Method in class weka.gui.beans.KnowledgeFlowApp
  Returns the current flow being edited in XML format.
getFMeasure() - Method in class weka.classifiers.evaluation.TwoClassStats
  Calculate the F-Measure.
getFold() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Gets the fold which is selected.
getFold() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Gets the fold which is selected.
getFoldColumn() - Method in class weka.experiment.PairedTTester
  Get the value of FoldColumn.
getFoldColumn() - Method in interface weka.experiment.Tester
  Get the value of FoldColumn.
getFolds() - Method in class weka.attributeSelection.OneRAttributeEval
  Get the number of folds used for cross validation
getFolds() - Method in class weka.attributeSelection.WrapperSubsetEval
  Get the number of folds used for accuracy estimation
getFolds() - Method in class weka.classifiers.rules.JRip
  Gets the number of folds
getFolds() - Method in class weka.gui.beans.CrossValidationFoldMaker
  Get the currently set number of folds
getFolds() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the number of folds used for cross-validation.
getFont() - Method in class weka.gui.visualize.PostscriptGraphics
  Get current font.
getFontMetrics(Font) - Method in class weka.gui.visualize.PostscriptGraphics
  Get Font metrics
getFontName() - Method in class weka.gui.scripting.SyntaxDocument
  gets the current font family.
getFontRenderContext() - Method in class weka.gui.visualize.PostscriptGraphics
  START overridden Graphics2D methods
getFontSize() - Method in class weka.gui.scripting.SyntaxDocument
  gets the current font size.
getFontSizeAdjust() - Method in class weka.gui.beans.Note
  Get the font size adjustment
getFormat() - Method in class weka.core.Debug.Timestamp
  returns the current timestamp format
getFrameLocation() - Method in class weka.gui.MemoryUsagePanel
  Returns the default position for the dialog.
getFrameTitle() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns the title (incl.
getFrequency() - Method in class weka.associations.Item
  Get the frequency of this item.
getFreshCardinalityOfParents(Instances) - Method in class weka.classifiers.bayes.net.ParentSet
  returns cardinality of parents after recalculation
getFrom() - Method in class weka.core.pmml.jaxbbindings.Con1
  Gets the value of the from property.
getFromYear() - Static method in class weka.core.Copyright
  returns the start year of the copyright
getFStatistic() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the fStatistic property.
getFStatistic() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the fStatistic property.
getFunction(String) - Static method in class weka.core.pmml.Function
  Get a built-in PMML Function.
getFunction(String, TransformationDictionary) - Static method in class weka.core.pmml.Function
  Get either a function.
getFunction() - Method in class weka.core.pmml.jaxbbindings.Aggregate
  Gets the value of the function property.
getFunction() - Method in class weka.core.pmml.jaxbbindings.Apply
  Gets the value of the function property.
getFunction() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Gets the function for generating the data.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.MiningModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.Regression
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.TextModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
  Gets the value of the functionName property.
getFunctionName() - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Gets the value of the functionName property.
getFValue() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Gets the value of the fValue property.
getGamma() - Method in class weka.classifiers.functions.supportVector.RBFKernel
  Gets the gamma value.
getGamma() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
  Gets the value of the gamma property.
getGamma() - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
  Gets the value of the gamma property.
getGamma() - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
  Gets the value of the gamma property.
getGamma() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
  Gets the value of the gamma property.
getGap() - Method in class weka.core.pmml.jaxbbindings.Delimiter
  Gets the value of the gap property.
getGaussianDistribution() - Method in class weka.core.pmml.jaxbbindings.Alternate
  Gets the value of the gaussianDistribution property.
getGaussianDistribution() - Method in class weka.core.pmml.jaxbbindings.Baseline
  Gets the value of the gaussianDistribution property.
getGCount(Node, int) - Static method in class weka.gui.treevisualizer.Node
  Recursively finds the number of visible groups of siblings there are.
getGeneralRegressionModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the generalRegressionModel property.
getGenerateRanking() - Method in class weka.attributeSelection.GreedyStepwise
  Gets whether ranking has been requested.
getGenerateRanking() - Method in interface weka.attributeSelection.RankedOutputSearch
  Gets whether the user has opted to see a ranked list of attributes rather than the normal result of the search
getGenerateRanking() - Method in class weka.attributeSelection.Ranker
  This is a dummy method.
getGenerateSparseData() - Method in class weka.gui.sql.SqlViewerDialog
  Returns whether sparse data is generated.
getGenerator() - Method in class weka.gui.explorer.DataGeneratorPanel
  returns the currently selected DataGenerator
getGeneratorSamplesBase() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Get the base used for computing the number of samples to obtain from each generator
getGlobalBlend() - Method in class weka.classifiers.lazy.KStar
  Get the value of the global blend parameter
getGlobalInfo(Object, boolean) - Static method in class weka.core.Utils
  Utility method for grabbing the global info help (if it exists) from an arbitrary object.
getGlobalInfo(Object) - Static method in class weka.gui.beans.KnowledgeFlowApp
  Utility method for grabbing the global info help (if it exists) from an arbitrary object
getGlobalInputProperties() - Static method in class weka.gui.GenericPropertiesCreator
  Get the global input properties
getGlobalModel() - Method in class weka.classifiers.trees.j48.NBTreeSplit
  Return the global naive bayes model for this node
getGlobalOutputProperties() - Static method in class weka.gui.GenericPropertiesCreator
  Get the global output properties
getGlobalTermWeights() - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
  Gets the value of the globalTermWeights property.
getGracePeriod() - Method in class weka.classifiers.trees.HoeffdingTree
  Get the number of instances (or total weight of instances) a leaf should observe between split attempts
getGraphString() - Method in class weka.gui.beans.GraphEvent
  Return the dot string for the graph
getGraphTitle() - Method in class weka.gui.beans.GraphEvent
  Return the graph title
getGraphType() - Method in class weka.gui.beans.GraphEvent
  Return the graph type
getGridWidth() - Method in class weka.gui.beans.AttributeSummarizer
  Get the width of the grid of plots
getGroupField() - Method in class weka.core.pmml.jaxbbindings.Aggregate
  Gets the value of the groupField property.
getGroupIdentifier() - Method in class weka.gui.beans.BatchClassifierEvent
getGUI() - Method in class weka.classifiers.functions.MultilayerPerceptron
getGUIType() - Method in class weka.gui.Main
  Gets the currently set type of GUI to display.
getH() - Method in class weka.core.matrix.QRDecomposition
  Return the Householder vectors
getHandler() - Method in class weka.core.FindWithCapabilities
  returns the current set CapabilitiesHandler to generate the dataset for, can be null.
getHandler() - Method in class weka.core.TestInstances
  returns the current set CapabilitiesHandler to generate the dataset for, can be null
getHashtable(ArrayList<Object>, int) - Static method in class weka.associations.ItemSet
  Return a hashtable filled with the given item sets.
getHashtable(ArrayList<Object>, int) - Static method in class weka.associations.LabeledItemSet
  Return a hashtable filled with the given item sets.
getHeader() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the header of the underlying dataset.
getHeader() - Method in class weka.classifiers.Evaluation
  Returns the header of the underlying dataset.
getHeader() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns the header of the dataset.
getHeader() - Method in class weka.core.pmml.jaxbbindings.PMML
  Gets the value of the header property.
getHeader(String) - Method in class weka.experiment.ResultMatrix
  returns the value associated with the given key, null if if cannot be found.
getHeight() - Method in class weka.gui.beans.BeanInstance
  Gets the height of this bean
getHeight(Node, int) - Static method in class weka.gui.treevisualizer.Node
  Recursively finds the number of visible levels there are.
getHeuristicStop() - Method in class weka.classifiers.functions.SimpleLogistic
  Get the value of heuristicStop.
getHiddenLayers() - Method in class weka.classifiers.functions.MultilayerPerceptron
getHighValue() - Method in class weka.core.pmml.jaxbbindings.MiningField
  Gets the value of the highValue property.
getHistory() - Method in class weka.gui.GenericObjectEditor
  Returns the history of the used setups.
getHistory() - Method in class weka.gui.GenericObjectEditorHistory
  Returns the current history.
getHistory() - Method in class weka.gui.sql.ConnectionPanel
  returns the history.
getHistory() - Method in class weka.gui.sql.event.HistoryChangedEvent
  returns the history model
getHistory() - Method in class weka.gui.sql.QueryPanel
  returns the history.
getHistoryItem() - Method in class weka.gui.GenericObjectEditorHistory.HistorySelectionEvent
  Returns the selected history item.
getHistoryName() - Method in class weka.gui.sql.event.HistoryChangedEvent
  returns the name of the history
getHoeffdingTieThreshold() - Method in class weka.classifiers.trees.HoeffdingTree
  Get the threshold below which a split will be forced to break ties
getHomeDir() - Static method in class weka.core.Debug
  returns the home directory of the user
getIcon() - Method in class weka.gui.scripting.GroovyPanel
  Returns an icon to be used in a frame.
getIcon() - Method in class weka.gui.scripting.JythonPanel
  Returns an icon to be used in a frame.
getIcon() - Method in class weka.gui.scripting.ScriptingPanel
  Returns an icon to be used in a frame.
getIcon() - Method in class weka.gui.SimpleCLIPanel
  Returns an icon to be used in a frame.
getIconPath() - Method in class weka.gui.beans.BeanVisual
  returns the path for the icon
getId() - Method in class weka.classifiers.functions.neural.NeuralConnection
getID() - Method in class weka.core.Debug.Random
  returns the unique ID of this number generator
getId() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Cluster
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Item
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Itemset
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.NeuralInput
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Neuron
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Node
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.Sequence
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.TextDocument
  Gets the value of the id property.
getId() - Method in class weka.core.pmml.jaxbbindings.VectorInstance
  Gets the value of the id property.
getID() - Method in class weka.core.pmml.VectorInstance
  Get the ID of this vector instance
getID() - Method in class weka.core.Tag
  Gets the numeric ID of the Tag.
getID() - Method in class weka.core.TechnicalInformation
  returns the unique ID (either the one used in creating this instance or the automatically generated one)
getID() - Method in class weka.gui.streams.InstanceEvent
  Get the event type
getID() - Method in class weka.gui.treevisualizer.TreeDisplayEvent
getIDFTransform() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets whether if the word frequencies in a document should be transformed into:
  fij*log(num of Docs/num of Docs with word i)
  where fij is the frequency of word i in document(instance) j.
getIDIndex() - Method in class weka.filters.unsupervised.attribute.AddID
  Get the index of the attribute used.
getIDStr() - Method in class weka.core.Tag
  Gets the string ID of the Tag.
getIgnoreCase() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
getIgnoreCase() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Get whether to ignore case when matching
getIgnoreCase() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Get whether to ignore case when matching
getIgnoreCaseForNames() - Method in class weka.classifiers.misc.InputMappedClassifier
  Get whether to ignore case when matching attribute names and nominal values.
getIgnoreClass() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
  Gets the IgnoreClass value.
getIgnoredAttributeIndices() - Method in class weka.filters.unsupervised.attribute.AddCluster
  Gets ranges of attributes to be ignored.
getIgnoredAttributeIndices() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Gets ranges of attributes to be ignored.
getIgnoredProperties() - Method in class weka.core.CheckGOE
  Get the ignored properties used in checkToolTips() as comma-separated list (sorted).
getIgnoreRange() - Method in class weka.filters.unsupervised.attribute.MathExpression
  Get the current range selection.
getImage() - Method in class weka.gui.beans.ImageEvent
  Get the encapsulated image
getImage(String, String) - Static method in class weka.gui.ComponentHelper
  returns the Image for a given directory and filename, NULL if not successful
getImage(String) - Static method in class weka.gui.ComponentHelper
  returns the Image for a given filename, NULL if not successful
getImageIcon(String, String) - Static method in class weka.gui.ComponentHelper
  returns the ImageIcon for a given filename and directory, NULL if not successful
getImageIcon(String) - Static method in class weka.gui.ComponentHelper
  returns the ImageIcon for a given filename, NULL if not successful
getImagEigenvalues() - Method in class weka.core.matrix.EigenvalueDecomposition
  Return the imaginary parts of the eigenvalues
getImageName() - Method in class weka.gui.beans.ImageEvent
  Get the name of the image
getImportance() - Method in class weka.core.pmml.jaxbbindings.MiningField
  Gets the value of the importance property.
getImportance() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the importance property.
getIncludeClass() - Method in class weka.core.InstanceComparator
  Returns whether the class is included in the comparison.
getIncludeClass() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Gets whether the class is included in the cleaning process or always skipped.
getIncludeRelationName() - Method in class weka.gui.beans.SerializedModelSaver
  Get whether the relation name of the training data used to create the model is to be included in the filename of the serialized model.
getIncrementalSaveSchedule() - Method in class weka.gui.beans.SerializedModelSaver
  Get how often to save incremental models.
getIndentationSize() - Method in class weka.gui.scripting.SyntaxDocument
  Returns the number of blanks used for indentation.
getIndex() - Method in class weka.core.pmml.jaxbbindings.TimeValue
  Gets the value of the index property.
getIndex() - Method in class weka.core.PropertyPath.PathElement
  returns the index of the property, -1 if the property is not an index-based one
getIndex() - Method in class weka.core.SingleIndex
  Gets the selected index.
getIndex() - Method in class weka.gui.SortedTableModel.SortContainer
  Returns the original index of the item.
getIndices() - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
  Gets the value of the indices property.
getIndices() - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
  Gets the value of the indices property.
getInfoData() - Method in interface weka.gui.visualize.InstanceInfo
  Returns the underlying data.
getInfoData() - Method in class weka.gui.visualize.InstanceInfoFrame
  Returns the underlying data.
getInfoText() - Method in interface weka.gui.visualize.InstanceInfo
  Returns the currently displayed info text.
getInfoText() - Method in class weka.gui.visualize.InstanceInfoFrame
  Returns the currently displayed info text.
getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
  Gets whether to init as naive bayes
getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.net.search.global.K2
  Gets whether to init as naive bayes
getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
  Gets whether to init as naive bayes
getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.net.search.local.K2
  Gets whether to init as naive bayes
getInitFile() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Gets the file to initialize the filter with, can be null.
getInitFileClassIndex() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Gets the class index of the file to initialize the filter with.
getInitGenericObjectEditorFilter() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns if the GOEs in the Explorer will be initialized based on the data that is loaded into the Explorer.
getInitial() - Method in class weka.core.Memory
  returns the initial size of the JVM heap, obtains a fresh MemoryUsage object to do so.
getInitialCount() - Method in class weka.classifiers.trees.REPTree
  Get the value of InitialCount.
getInitialDatasetsDirectory() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the initial directory for the datasets (if empty, it returns the user's home directory).
getInitialDirectory() - Static method in class weka.gui.explorer.ExplorerDefaults
  Returns the initial directory for the file chooser used for opening datasets.
getInitializationMethod() - Method in class weka.clusterers.SimpleKMeans
  Get the initialization method to use
getInitialScore() - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Gets the value of the initialScore property.
getInlineTable() - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Gets the value of the inlineTable property.
getInlineTable() - Method in class weka.core.pmml.jaxbbindings.MapValues
  Gets the value of the inlineTable property.
getInlineTable() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
  Gets the value of the inlineTable property.
getInlineTable() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Gets the value of the inlineTable property.
getInputFilename() - Method in class weka.gui.GenericPropertiesCreator
  returns the name of the input file
getInputNums() - Method in class weka.classifiers.functions.neural.NeuralConnection
  Use this to get easy access to the input numbers.
getInputOrder() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the input order.
getInputProperties() - Method in class weka.gui.GenericPropertiesCreator
  returns the input properties object (template containing the packages)
getInputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
  Use this to get easy access to the inputs.
getInputs() - Method in class weka.gui.beans.MetaBean
getInputStream(String, String) - Static method in class weka.gui.Loader
  returns an InputStream for the given dir and filename, can be NULL if it fails
getInputStream(String) - Method in class weka.gui.Loader
  returns an InputStream for the given filename, can be NULL if it fails
getInputStructure() - Method in class weka.gui.beans.SubstringLabelerRules
  Get the input structure
getInsertDummyNominalFirstValue() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Get whether a dummy first value will be inserted in the definition of each nominal attribute.
getInstalledLookAndFeels() - Static method in class weka.gui.LookAndFeel
  returns an array with the classnames of all the installed LnFs
getInstalledPackageInfo(String) - Static method in class weka.core.WekaPackageManager
  Get meta data for an installed package
getInstalledPackages() - Static method in class weka.core.WekaPackageManager
  Get a list of installed packages
getInstance() - Method in class weka.gui.beans.InstanceEvent
  Get the instance
getInstanceField() - Method in class weka.core.pmml.jaxbbindings.InstanceFields
  Gets the value of the instanceField property.
getInstanceFields() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Gets the value of the instanceFields property.
getInstanceIdVariable() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Gets the value of the instanceIdVariable property.
getInstanceRange() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Gets the number of instances forward to translate values between.
getInstances() - Method in class weka.core.converters.AbstractSaver
  Gets instances that should be stored.
getInstances() - Method in interface weka.core.DistanceFunction
  returns the instances currently set.
getInstances() - Method in class weka.core.FilteredDistance
  returns the instances currently set.
getInstances() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  returns the instances currently set.
getInstances() - Method in class weka.core.NormalizableDistance
  returns the instances currently set.
getInstances() - Method in class weka.core.xml.XMLInstances
  returns the current instances, either the ones that were set or the ones that were generated from the XML structure.
getInstances() - Method in class weka.experiment.PairedTTester
  Get the value of Instances.
getInstances() - Method in interface weka.experiment.Tester
  Get the value of Instances.
getInstances() - Method in class weka.gui.arffviewer.ArffPanel
  returns the instances of the panel, if none then NULL
getInstances() - Method in class weka.gui.arffviewer.ArffSortedTableModel
  returns the data
getInstances() - Method in class weka.gui.arffviewer.ArffTableModel
  returns the data
getInstances() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Get the training instances
getInstances() - Method in class weka.gui.explorer.AbstractPlotInstances
  Returns the training data.
getInstances() - Method in class weka.gui.explorer.DataGeneratorPanel
  returns the generated instances, null if the process was cancelled.
getInstances() - Method in class weka.gui.explorer.PreprocessPanel
  Gets the working set of instances.
getInstances() - Method in class weka.gui.SetInstancesPanel
  Gets the set of instances currently held by the panel.
getInstances() - Method in class weka.gui.treevisualizer.Node
  This will return the Instances object related to this node.
getInstances() - Method in class weka.gui.ViewerDialog
  returns the currently displayed instances
getInstances() - Method in class weka.gui.visualize.VisualizePanel
  Get the master plot's instances
getInstances1() - Method in class weka.gui.visualize.VisualizePanelEvent
getInstances2() - Method in class weka.gui.visualize.VisualizePanelEvent
getInstancesFromClass(Instances, int, int, double, Instances) - Static method in class weka.estimators.EstimatorUtils
  Returns a dataset that contains all instances of a certain class value.
getInstancesFromClass(Instances, int, double) - Static method in class weka.estimators.EstimatorUtils
  Returns a dataset that contains of all instances of a certain class value.
getInstancesFromValue(Instances, int, double) - Static method in class weka.estimators.EstimatorUtils
  Returns a dataset that contains of all instances of a certain value for the given attribute.
getInstancesIndices() - Method in class weka.filters.unsupervised.instance.RemoveRange
  Gets ranges of instances selected.
getInstancesNoClass() - Method in class weka.associations.Apriori
  Gets the instances without the class atrribute.
getInstancesNoClass() - Method in interface weka.associations.CARuleMiner
  Gets the instances without the class attribute
getInstancesOnlyClass() - Method in class weka.associations.Apriori
  Gets only the class attribute of the instances.
getInstancesOnlyClass() - Method in interface weka.associations.CARuleMiner
  Gets the class attribute and its values for all instances
getInstancesValueAt(int, int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  returns the double value of the underlying Instances object at the given position, -1 if out of bounds
getInstancesValueAt(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
  returns the double value of the underlying Instances object at the given position, -1 if out of bounds
getINTEntries() - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
  Gets the value of the intEntries property.
getIntercept() - Method in class weka.classifiers.functions.SimpleLinearRegression
  Returns the intercept of the function.
getIntercept() - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
  Returns the intercept of the function.
getIntercept() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
  Gets the value of the intercept property.
getInternalCacheSize() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Gets the size of the internal cache
getInterpolationMethod() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
  Gets the value of the interpolationMethod property.
getInterpreter() - Method in class weka.core.scripting.Jython
  returns the currently used Python Interpreter
getInterQuartileRange() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Gets the value of the interQuartileRange property.
getInterval() - Method in class weka.core.pmml.jaxbbindings.ContStats
  Gets the value of the interval property.
getInterval() - Method in class weka.core.pmml.jaxbbindings.DataField
  Gets the value of the interval property.
getInterval() - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
  Gets the value of the interval property.
getInterval() - Method in class weka.core.pmml.jaxbbindings.EventValues
  Gets the value of the interval property.
getInvalidFreq() - Method in class weka.core.pmml.jaxbbindings.Counts
  Gets the value of the invalidFreq property.
getInvalidValueTreatment() - Method in class weka.core.pmml.jaxbbindings.Apply
  Gets the value of the invalidValueTreatment property.
getInvalidValueTreatment() - Method in class weka.core.pmml.jaxbbindings.MiningField
  Gets the value of the invalidValueTreatment property.
getInvert() - Method in class weka.core.InstanceComparator
  Returns whether the matching sense of the attribute range is inverted.
getInvert() - Method in class weka.core.Range
  Gets whether the range sense is inverted, i.e.
getInvert() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Get whether selection is inverted.
getInvertSelection() - Method in interface weka.core.DistanceFunction
  Gets whether the matching sense of attribute indices is inverted or not.
getInvertSelection() - Method in class weka.core.FilteredDistance
  Gets whether the matching sense of attribute indices is inverted or not.
getInvertSelection() - Method in class weka.core.NormalizableDistance
  Gets whether the matching sense of attribute indices is inverted or not.
getInvertSelection() - Method in class weka.filters.supervised.attribute.Discretize
  Gets whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Get whether the supplied attributes are to be acted on or all other attributes.
getInvertSelection() - Method in class weka.filters.supervised.instance.Resample
  Gets whether selection is inverted (only if instances are drawn WIHTOUT replacement).
getInvertSelection() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Gets if selection is to be inverted.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.Copy
  Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.Discretize
  Gets whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.MathExpression
  Get whether the supplied columns are to be select or unselect
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Get whether the supplied attributes are to be acted on or all other attributes.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Gets whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Gets whether the selection of the columns is inverted
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Gets whether the supplied columns are to be worked on or the others.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Get whether the supplied columns are to be transformed or not
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Get whether to invert the selection - i.e.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.Remove
  Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RemoveByName
  Get whether the supplied columns are to be removed or kept.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Gets whether to invert the selection of the attributes.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.SortLabels
  Gets whether the supplied columns are to be processed or skipped.
getInvertSelection() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Gets whether the supplied columns are to be processed or skipped.
getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Gets if selection is to be inverted.
getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Gets if selection is to be inverted.
getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemoveRange
  Gets if selection is to be inverted.
getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Get whether the supplied columns are to be removed or kept
getInvertSelection() - Method in class weka.filters.unsupervised.instance.Resample
  Gets whether selection is inverted (only if instances are drawn WIHTOUT replacement).
getIRClassValue() - Method in class weka.attributeSelection.WrapperSubsetEval
  Get the class value (label or index) to use with IR metric evaluation of subsets.
getIsCenterField() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Gets the value of the isCenterField property.
getIsCyclic() - Method in class weka.core.pmml.jaxbbindings.DataField
  Gets the value of the isCyclic property.
getIsMultiValued() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the isMultiValued property.
getIsRecursive() - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Gets the value of the isRecursive property.
getItemRef() - Method in class weka.core.pmml.jaxbbindings.ItemRef
  Gets the value of the itemRef property.
getItemRef() - Method in class weka.core.pmml.jaxbbindings.Itemset
  Gets the value of the itemRef property.
getItemValueAsString() - Method in class weka.associations.Item
  Get this item's value as a String.
getItemValueAsString() - Method in class weka.associations.NominalItem
  Get this item's value as a String.
getItemValueAsString() - Method in class weka.associations.NumericItem
  Get this item's value as a String.
getIterativeClassifier() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Get the classifier used as the base learner.
getJaccard() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the jaccard property.
getJavaInitializationString() - Method in class weka.gui.beans.EnvironmentField
getJavaInitializationString() - Method in class weka.gui.CostMatrixEditor
  Returns the Java code that generates an object the same as the one being edited.
getJavaInitializationString() - Method in class weka.gui.FileEditor
  Returns a representation of the current property value as java source.
getJavaInitializationString() - Method in class weka.gui.GenericArrayEditor
  Supposedly returns an initialization string to create a classifier identical to the current one, including it's state, but this doesn't appear possible given that the initialization string isn't supposed to contain multiple statements.
getJavaInitializationString() - Method in class weka.gui.GenericObjectEditor
  Supposedly returns an initialization string to create a Object identical to the current one, including it's state, but this doesn't appear possible given that the initialization string isn't supposed to contain multiple statements.
getJavaInitializationString() - Method in class weka.gui.SelectedTagEditor
  Returns a description of the property value as java source.
getJavaInitializationString() - Method in class weka.gui.SimpleDateFormatEditor
  Returns the Java code that generates an object the same as the one being edited.
getJTable() - Method in class weka.gui.JTableHelper
  returns the JTable
getKernel() - Method in class weka.classifiers.functions.GaussianProcesses
  Gets the kernel to use.
getKernel() - Method in class weka.classifiers.functions.SMO.BinarySMO
  Returns the kernel to use
getKernel() - Method in class weka.classifiers.functions.SMO
  Returns the kernel to use
getKernel() - Method in class weka.classifiers.functions.SMOreg
  Returns the kernel to use
getKernel() - Method in class weka.classifiers.functions.supportVector.CheckKernel
  Get the kernel being tested
getKernel() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Gets the kernel to use.
getKernelBandwidth() - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
  Get the kernel bandwidth
getKernelEvaluations() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  returns the number of kernel evaluations
getKernelFactorExpression() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Gets the expression for the kernel.
getKernelMatrixFile() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Gets the file containing the kernel matrix.
getKey() - Method in class weka.experiment.ClassifierSplitEvaluator
  Gets the key describing the current SplitEvaluator.
getKey() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Gets the key describing the current SplitEvaluator.
getKey() - Method in class weka.experiment.RegressionSplitEvaluator
  Gets the key describing the current SplitEvaluator.
getKey() - Method in interface weka.experiment.SplitEvaluator
  Gets the key describing the current SplitEvaluator.
getKeyFieldName() - Method in class weka.experiment.AveragingResultProducer
  Get the value of KeyFieldName.
getKeyNames() - Method in class weka.experiment.AveragingResultProducer
  Gets the names of each of the columns produced for a single run.
getKeyNames() - Method in class weka.experiment.ClassifierSplitEvaluator
  Gets the names of each of the key columns produced for a single run.
getKeyNames() - Method in class weka.experiment.CrossValidationResultProducer
  Gets the names of each of the columns produced for a single run.
getKeyNames() - Method in class weka.experiment.DatabaseResultProducer
  Gets the names of each of the columns produced for a single run.
getKeyNames() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Gets the names of each of the key columns produced for a single run.
getKeyNames() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Gets the names of each of the columns produced for a single run.
getKeyNames() - Method in class weka.experiment.LearningRateResultProducer
  Gets the names of each of the columns produced for a single run.
getKeyNames() - Method in class weka.experiment.RandomSplitResultProducer
  Gets the names of each of the columns produced for a single run.
getKeyNames() - Method in class weka.experiment.RegressionSplitEvaluator
  Gets the names of each of the key columns produced for a single run.
getKeyNames() - Method in interface weka.experiment.ResultProducer
  Gets the names of each of the key columns produced for a single run.
getKeyNames() - Method in interface weka.experiment.SplitEvaluator
  Gets the names of each of the key columns produced for a single run.
getKeys() - Method in class weka.core.converters.DatabaseLoader
  Gets the key columns' name
getKeySpec() - Method in class weka.gui.beans.Join
  Get the key specification (in internal format - k11,k12,...,k1nKEY_SPEC_SEPARATORk21,k22,...,k2n)
getKeyTypes() - Method in class weka.experiment.AveragingResultProducer
  Gets the data types of each of the columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.ClassifierSplitEvaluator
  Gets the data types of each of the key columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.CrossValidationResultProducer
  Gets the data types of each of the columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.DatabaseResultProducer
  Gets the data types of each of the columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Gets the data types of each of the key columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Gets the data types of each of the columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.LearningRateResultProducer
  Gets the data types of each of the columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.RandomSplitResultProducer
  Gets the data types of each of the columns produced for a single run.
getKeyTypes() - Method in class weka.experiment.RegressionSplitEvaluator
  Gets the data types of each of the key columns produced for a single run.
getKeyTypes() - Method in interface weka.experiment.ResultProducer
  Gets the data types of each of the key columns produced for a single run.
getKeyTypes() - Method in interface weka.experiment.SplitEvaluator
  Gets the data types of each of the key columns produced for a single run.
getKeywordFormatting(String) - Method in class weka.gui.scripting.SyntaxDocument
  Gets the formatting for a keyword.
getKeywords() - Method in class weka.experiment.DatabaseUtils
  Returns the currently stored keywords (as comma-separated list).
getKeywordsMaskChar() - Method in class weka.experiment.DatabaseUtils
  Returns the currently set mask character.
getKind() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the kind property.
getKind() - Method in class weka.core.pmml.jaxbbindings.Matrix
  Gets the value of the kind property.
getKNN() - Method in class weka.classifiers.lazy.IBk
  Gets the number of neighbours the learner will use.
getKNN() - Method in class weka.classifiers.lazy.LWL
  Gets the number of neighbours used for kernel bandwidth setting.
getKNNInput() - Method in class weka.core.pmml.jaxbbindings.KNNInputs
  Gets the value of the knnInput property.
getKohonenMap() - Method in class weka.core.pmml.jaxbbindings.Cluster
  Gets the value of the kohonenMap property.
getKValue() - Method in class weka.classifiers.trees.RandomTree
  Get the value of K.
getKWBias() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Get the calculated bias squared according to the Kohavi and Wolpert definition
getKWSigma() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Get the calculated sigma according to the Kohavi and Wolpert definition
getKWVariance() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Get the calculated variance according to the Kohavi and Wolpert definition
getL() - Method in class weka.core.matrix.CholeskyDecomposition
  Return triangular factor.
getL() - Method in class weka.core.Matrix
  Deprecated.
  Returns the L part of the matrix.
getL() - Method in class weka.core.matrix.LUDecomposition
  Return lower triangular factor
getLabel() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
  Gets the value of the label property.
getLabel() - Method in class weka.core.pmml.jaxbbindings.Parameter
  Gets the value of the label property.
getLabel() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Get the label for the new merged class.
getLabel() - Method in class weka.gui.beans.BatchClassifierEvent
  Get the label for this event
getLabel() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Get the label to assign if this rule matches, or empty string if binary flag attribute is being created.
getLabel() - Method in class weka.gui.treevisualizer.Edge
  Get the value of label.
getLabel() - Method in class weka.gui.treevisualizer.Node
  Get the value of label.
getLabels() - Method in class weka.filters.unsupervised.attribute.AddValues
  Get the comma-separated list of labels that are added.
getLambda() - Method in class weka.classifiers.functions.SGD
  Get the current value of lambda
getLambda() - Method in class weka.classifiers.functions.SGDText
  Get the current value of lambda
getLambda() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Gets the lambda constant used in the string kernel
getLaunchCommand() - Method in interface weka.gui.explorer.ClassifierPanelLaunchHandlerPlugin
  Get the name of the launch command (to appear as the button text or in the popup menu)
getLaunchCommand() - Method in interface weka.gui.explorer.ClustererPanelLaunchHandlerPlugin
  Get the name of the launch command (to appear as the button text or in the popup menu)
getLeafPredictionStrategy() - Method in class weka.classifiers.trees.HoeffdingTree
  Get the leaf prediction strategy to use (majority class, naive Bayes or naive Bayes adaptive)
getLearningRate() - Method in class weka.classifiers.functions.MultilayerPerceptron
getLearningRate() - Method in class weka.classifiers.functions.SGD
  Get the learning rate.
getLearningRate() - Method in class weka.classifiers.functions.SGDText
  Get the learning rate.
getLeftMargin() - Method in class weka.core.pmml.jaxbbindings.Interval
  Gets the value of the leftMargin property.
getLegendText() - Method in class weka.gui.beans.ChartEvent
  Get the legend text vector
getLength() - Method in class weka.core.pmml.jaxbbindings.TextDocument
  Gets the value of the length property.
getLength() - Method in class weka.core.pmml.jaxbbindings.TimeCycle
  Gets the value of the length property.
getLengthLimit() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the lengthLimit property.
getLevel() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
  Gets the value of the level property.
getLevel() - Method in class weka.gui.HierarchyPropertyParser
  Get the level of current node.
getLeverage() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Gets the value of the leverage property.
getLift() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Gets the value of the lift property.
getLift() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Gets the value of the lift property.
getLiftData() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the liftData property.
getLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ModelLiftGraph
  Gets the value of the liftGraph property.
getLiftGraph() - Method in class weka.core.pmml.jaxbbindings.OptimumLiftGraph
  Gets the value of the liftGraph property.
getLiftGraph() - Method in class weka.core.pmml.jaxbbindings.RandomLiftGraph
  Gets the value of the liftGraph property.
getLikelihoodThreshold() - Method in class weka.classifiers.meta.LogitBoost
  Get the value of Precision.
getLine(int) - Method in class weka.gui.treevisualizer.Edge
  Returns line number n
getLine(int) - Method in class weka.gui.treevisualizer.Node
  Returns the text String for the specfied line.
getLinearNorm() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
  Gets the value of the linearNorm property.
getLineNo() - Method in class weka.core.converters.ArffLoader.ArffReader
  returns the current line number
getLinkAt(int) - Method in class weka.attributeSelection.BestFirst.LinkedList2
  returns the element (Link) at a specific index from the list.
getLinkFunction() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the linkFunction property.
getLinkParameter() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the linkParameter property.
getLinkType() - Method in class weka.clusterers.HierarchicalClusterer
getList() - Method in class weka.gui.ResultHistoryPanel
  Gets the JList used by the results list
getListCellRendererComponent(JList, Object, int, boolean, boolean) - Method in class weka.gui.CheckBoxList.CheckBoxListRenderer
  Return a component that has been configured to display the specified value.
getListCellRendererComponent(JList, Object, int, boolean, boolean) - Method in class weka.gui.experiment.AlgorithmListPanel.ObjectCellRenderer
  Return a component that has been configured to display the specified value.
getListCellRendererComponent(JList, Object, int, boolean, boolean) - Method in class weka.gui.sql.InfoPanelCellRenderer
  Return a component that has been configured to display the specified value.
getLNorm() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Get the L Norm used.
getLNorm() - Method in class weka.classifiers.functions.SGDText
  Get the L Norm used.
getLoadClassifierFileName() - Method in class weka.gui.beans.Classifier
  Get the name of the classifier to load at execution time.
getLoader() - Method in class weka.core.converters.ConverterUtils.DataSource
  returns the determined loader, null if the DataSource was initialized with data alone and not a file/URL.
getLoader() - Method in class weka.gui.beans.Loader
  Get the loader
getLoader() - Method in class weka.gui.ConverterFileChooser
  returns the loader that was chosen by the user, can be null in case the user aborted the dialog or the save dialog was shown.
getLoader() - Method in class weka.gui.SetInstancesPanel
  Gets the currently used Loader.
getLoaderForExtension(String) - Static method in class weka.core.converters.ConverterUtils
  tries to determine the loader to use for this kind of extension, returns null if none can be found.
getLoaderForFile(String) - Static method in class weka.core.converters.ConverterUtils
  tries to determine the loader to use for this kind of file, returns null if none can be found.
getLoaderForFile(File) - Static method in class weka.core.converters.ConverterUtils
  tries to determine the loader to use for this kind of file, returns null if none can be found.
getLocallyPredictive() - Method in class weka.attributeSelection.CfsSubsetEval
  Return true if including locally predictive attributes
getLocalTermWeights() - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
  Gets the value of the localTermWeights property.
getLocalTransformations() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the localTransformations property.
getLocalTransformations() - Method in class weka.core.pmml.jaxbbindings.Regression
  Gets the value of the localTransformations property.
getLocator(int) - Method in class weka.core.AttributeLocator
  Returns the AttributeLocator at the given index.
getLocatorIndices() - Method in class weka.core.AttributeLocator
  Returns the indices of the AttributeLocator objects.
getLog() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
  Get the logger.
getLog() - Method in class weka.core.Debug.Random
  the currently used log, if null then stdout is used for outputting the debugging information
getLog() - Method in interface weka.core.LogHandler
  Get the log in use
getLog() - Method in interface weka.core.pmml.PMMLModel
  Get the logger.
getLogLikelihood() - Method in class weka.clusterers.ClusterEvaluation
  Return the log likelihood corresponding to the most recent set of instances clustered.
getLogPanel(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getLookAheadIterations() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Get the value of LookAheadIterations.
getLookupCacheSize() - Method in class weka.attributeSelection.BestFirst
  Return the maximum size of the evaluated subset cache (expressed as a multiplier for the number of attributes in a data set.
getLossFunction() - Method in class weka.classifiers.functions.SGD
  Get the current loss function.
getLossFunction() - Method in class weka.classifiers.functions.SGDText
  Get the current loss function.
getLower() - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
  Gets the value of the lower property.
getLower() - Method in class weka.gui.experiment.RunNumberPanel
  Gets the current lower run number.
getLowerBoundMinSupport() - Method in class weka.associations.Apriori
  Get the value of lowerBoundMinSupport.
getLowerBoundMinSupport() - Method in class weka.associations.FPGrowth
  Get the value of lowerBoundMinSupport.
getLowercaseTokens() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Get whether to convert all tokens to lowercase
getLowercaseTokens() - Method in class weka.classifiers.functions.SGDText
  Get whether to convert all tokens to lowercase
getLowerCaseTokens() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Gets whether if the tokens are to be downcased or not.
getLowerNumericBound() - Method in class weka.core.Attribute
  Returns the lower bound of a numeric attribute.
getLowerSize() - Method in class weka.experiment.LearningRateResultProducer
  Get the value of LowerSize.
getLowValue() - Method in class weka.core.pmml.jaxbbindings.MiningField
  Gets the value of the lowValue property.
getM5RootNode() - Method in class weka.classifiers.trees.m5.M5Base
getM5RootNode() - Method in class weka.classifiers.trees.m5.Rule
getMainPanel() - Method in class weka.gui.arffviewer.ArffViewer
  returns the main panel
getMainPerspective() - Method in class weka.gui.beans.KnowledgeFlowApp
  Gets the main knowledge flow perspective
getMakeBinary() - Method in class weka.filters.supervised.attribute.Discretize
  Gets whether binary attributes should be made for discretized ones.
getMakeBinary() - Method in class weka.filters.unsupervised.attribute.Discretize
  Gets whether binary attributes should be made for discretized ones.
getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.Apply
  Gets the value of the mapMissingTo property.
getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.Discretize
  Gets the value of the mapMissingTo property.
getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.FieldRef
  Gets the value of the mapMissingTo property.
getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.MapValues
  Gets the value of the mapMissingTo property.
getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
  Gets the value of the mapMissingTo property.
getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
  Gets the value of the mapMissingTo property.
getMappedClassIndex() - Method in class weka.classifiers.misc.InputMappedClassifier
getMappedValue() - Method in class weka.core.pmml.jaxbbindings.Item
  Gets the value of the mappedValue property.
getMapValues() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the mapValues property.
getMapValues() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the mapValues property.
getMapValues() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the mapValues property.
getMargin(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  return marginal distibution for a node
getMargin(int) - Method in class weka.classifiers.bayes.net.MarginCalculator
getMarkovBlanketClassifier() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
getMarkovBlanketClassifier() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
getMasterPlot() - Method in class weka.gui.visualize.Plot2D
  Get the master plot
getMatCell() - Method in class weka.core.pmml.jaxbbindings.Matrix
  Gets the value of the matCell property.
getMatch() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Get the string/regex to use for matching
getMatch() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Get the string/regex to use for matching
getMatchAttributeName() - Method in class weka.gui.beans.SubstringLabeler
getMatchDetails() - Method in class weka.gui.beans.SubstringLabeler
  Get the internally encoded list of match rules
getMatches() - Method in class weka.core.FindWithCapabilities
  returns the matches from the last find call.
getMatches(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
  returns all the matches with the partial search string, files or classes.
getMatchMissingValues() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Gets whether missing values are counted as a match.
getMatchReplaceDetails() - Method in class weka.gui.beans.SubstringReplacer
  Get the internally encoded list of match-replace rules
getMatrix(int, int, int, int) - Method in class weka.core.matrix.Matrix
  Get a submatrix.
getMatrix(int[], int[]) - Method in class weka.core.matrix.Matrix
  Get a submatrix.
getMatrix(int, int, int[]) - Method in class weka.core.matrix.Matrix
  Get a submatrix.
getMatrix(int[], int, int) - Method in class weka.core.matrix.Matrix
  Get a submatrix.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.Comparisons
  Gets the value of the matrix property.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
  Gets the value of the matrix property.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.CorrelationMethods
  Gets the value of the matrix property.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.CorrelationValues
  Gets the value of the matrix property.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.Covariances
  Gets the value of the matrix property.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.DocumentTermMatrix
  Gets the value of the matrix property.
getMatrix() - Method in class weka.core.pmml.jaxbbindings.Predictor
  Gets the value of the matrix property.
getMax() - Method in class weka.core.Memory
  returns the maximum size of the JVM heap, obtains a fresh MemoryUsage object to do so.
getMax() - Method in class weka.core.pmml.jaxbbindings.Target
  Gets the value of the max property.
getMax() - Method in class weka.core.pmml.jaxbbindings.Time
  Gets the value of the max property.
getMax() - Method in class weka.gui.beans.ChartEvent
  Get the max y value
getMaxArray() - Method in class weka.filters.unsupervised.attribute.Normalize
  Returns the calculated maximum values for the attributes in the data.
getMaxBoostingIterations() - Method in class weka.classifiers.functions.SimpleLogistic
  Get the value of maxBoostingIterations.
getMaxC() - Method in class weka.gui.visualize.Plot2D
  Return the current max value of the colouring attribute
getMaxCardinality() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
  returns the max cardinality
getMaxCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the maximum of coords per point.
getMaxCost(int) - Method in class weka.classifiers.CostMatrix
  Gets the maximum cost for a particular class value.
getMaxCost(int, Instance) - Method in class weka.classifiers.CostMatrix
  Gets the maximum cost for a particular class value.
getMaxCount() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Gets the value for the max count
getMaxDecimalPlaces() - Method in class weka.core.converters.ArffSaver
  Get the maximum number of decimal places to print
getMaxDecimalPlaces() - Method in class weka.core.converters.CSVSaver
  Get the maximum number of decimal places to print
getMaxDefault() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Get the maximum default.
getMaxDepth() - Method in class weka.classifiers.trees.RandomForest
  Get the maximum depth of trh tree, 0 for unlimited.
getMaxDepth() - Method in class weka.classifiers.trees.RandomTree
  Get the maximum depth of trh tree, 0 for unlimited.
getMaxDepth() - Method in class weka.classifiers.trees.REPTree
  Get the value of MaxDepth.
getMaxDepth() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Returns the depth of the built tree.
getMaximum() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the maximum property.
getMaximum() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Gets the value of the maximum property.
getMaximumAntConsSeparationTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the maximumAntConsSeparationTime property.
getMaximumAttributeNames() - Method in class weka.attributeSelection.PrincipalComponents
  Gets maximum number of attributes to include in transformed attribute names.
getMaximumAttributeNames() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Gets maximum number of attributes to include in transformed attribute names.
getMaximumAttributes() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Gets maximum number of PC attributes to retain.
getMaximumItemsetSeparationTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the maximumItemsetSeparationTime property.
getMaximumNumberOfAntecedentItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the maximumNumberOfAntecedentItems property.
getMaximumNumberOfClusters() - Method in class weka.clusterers.EM
  Get the maximum number of clusters to consider when cross-validating
getMaximumNumberOfConsequentItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the maximumNumberOfConsequentItems property.
getMaximumNumberOfItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the maximumNumberOfItems property.
getMaximumTotalSequenceTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the maximumTotalSequenceTime property.
getMaximumVariancePercentageAllowed() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
  Gets the maximum variance attributes are allowed to have before they are deleted by the filter.
getMaxInfoGain() - Method in class weka.classifiers.rules.JRip.Antd
getMaxInstancesInLeaf() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Returns the maximum number of instances allowed in a leaf.
getMaxInstInLeaf() - Method in class weka.core.neighboursearch.KDTree
  Get the maximum number of instances in a leaf.
getMaxInstNum() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the upper boundary for instances per cluster.
getMaxInstNum() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Gets the upper boundary for instances per cluster.
getMaxIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
  returns the maximum of internal nodes visited.
getMaxIterations() - Method in class weka.classifiers.trees.lmt.LogisticBase
  Returns the maxIterations parameter.
getMaxIterations() - Method in class weka.clusterers.EM
  Get the maximum number of iterations
getMaxIterations() - Method in class weka.clusterers.SimpleKMeans
  gets the number of maximum iterations to be executed.
getMaxIterations() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Gets the maximum number of cleansing iterations performed
getMaxIts() - Method in class weka.classifiers.functions.Logistic
  Get the value of MaxIts.
getMaxK() - Method in class weka.classifiers.functions.VotedPerceptron
  Get the value of maxK.
getMaxLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns the maximum number of leaves visited.
getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
  Gets the max number of parents.
getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.global.K2
  Gets the max number of parents.
getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
  Gets the max number of parents.
getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.local.K2
  Gets the max number of parents.
getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
  Gets the max number of parents.
getMaxNumberOfItems() - Method in class weka.associations.FPGrowth
  Gets the maximum number of items to be included in large item sets.
getMaxNumberOfItemsPerTA() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the maxNumberOfItemsPerTA property.
getMaxNumberOfItemsPerTransaction() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Gets the value of the maxNumberOfItemsPerTransaction property.
getMaxNumberOfTAsPerTAGroup() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Gets the value of the maxNumberOfTAsPerTAGroup property.
getMaxNumCandidateCanopiesToHoldInMemory() - Method in class weka.clusterers.Canopy
  Get the maximum number of candidate canopies to retain in memory during training.
getMaxNumComponents() - Method in class weka.estimators.UnivariateMixtureEstimator
  Returns the number of components to use.
getMaxPlots() - Method in class weka.gui.beans.AttributeSummarizer
  Get the number of plots to display
getMaxPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the maximum of points visited.
getMaxRadius() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the upper boundary for the radiuses of the clusters.
getMaxRange() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Gets the upper boundary for the range of x
getMaxRelativeLeafRadius() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Returns the maximum relative radius of a leaf node.
getMaxRows() - Method in class weka.gui.sql.event.QueryExecuteEvent
  returns the maximum number of rows to retrieve.
getMaxRows() - Method in class weka.gui.sql.QueryPanel
  returns the current value for the maximum number of rows.
getMaxRows() - Method in class weka.gui.sql.ResultSetHelper
  the maximum number of rows to retrieve, less than 1 means unlimited.
getMaxRuleSize() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Gets the maximum number of tests in rules.
getMaxRunNumber() - Method in class weka.gui.beans.BatchClassifierEvent
  Get the maximum run number
getMaxRunNumber() - Method in class weka.gui.beans.TestSetEvent
  Get the maximum number of runs.
getMaxRunNumber() - Method in class weka.gui.beans.TrainingSetEvent
  Get the maximum number of runs.
getMaxSetNumber() - Method in class weka.gui.beans.BatchClassifierEvent
  Get the maximum set number (ie the total number of training and testing sets in the series).
getMaxSetNumber() - Method in class weka.gui.beans.BatchClustererEvent
  Get the maximum set number (ie the total number of training and testing sets in the series).
getMaxSetNumber() - Method in class weka.gui.beans.TestSetEvent
  Get the maximum set number
getMaxSetNumber() - Method in class weka.gui.beans.TrainingSetEvent
  Get the maximum set number
getMaxSubsequenceLength() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the maximum length of the subsequence
getMaxThreshold() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Get the maximum threshold.
getMaxTime() - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
  Gets the value of the maxTime property.
getMaxTime() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
  Gets the value of the maxTime property.
getMaxValue() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
getMaxVersion() - Method in interface weka.gui.visualize.plugins.ErrorVisualizePlugin
  Get the maximum version of Weka, exclusive, the class is designed to work with.
getMaxVersion() - Method in interface weka.gui.visualize.plugins.GraphVisualizePlugin
  Get the maximum version of Weka, exclusive, the class is designed to work with.
getMaxVersion() - Method in interface weka.gui.visualize.plugins.TreeVisualizePlugin
  Get the maximum version of Weka, exclusive, the class is designed to work with.
getMaxVersion() - Method in interface weka.gui.visualize.plugins.VisualizePlugin
  Get the maximum version of Weka, exclusive, the class is designed to work with.
getMaxX() - Method in class weka.gui.visualize.Plot2D
  Return the current max value of the attribute plotted on the x axis
getMaxXBound() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Gets the maximum x-coordinate bound, in training-instance units (not mouse coordinates).
getMaxY() - Method in class weka.gui.visualize.Plot2D
  Return the current max value of the attribute plotted on the y axis
getMaxYBound() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Gets the maximum x-coordinate bound, in training-instance units (not mouse coordinates).
getMean() - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
  Gets the value of the mean property.
getMean() - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
  Gets the value of the mean property.
getMean() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Gets the value of the mean property.
getMean() - Method in class weka.core.pmml.jaxbbindings.PoissonDistribution
  Gets the value of the mean property.
getMean() - Method in class weka.core.pmml.jaxbbindings.Time
  Gets the value of the mean property.
getMean() - Method in class weka.estimators.MultivariateGaussianEstimator
getMean() - Method in class weka.estimators.NormalEstimator
  Return the value of the mean of this normal estimator.
getMean(int, int) - Method in class weka.experiment.ResultMatrix
  returns the mean at the given position, if the position is valid, otherwise 0.
getMeanAbsoluteError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the meanAbsoluteError property.
getMeanCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the mean of coords per point.
getMeanError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the meanError property.
getMeanIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns the mean of internal nodes visited.
getMeanLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns the mean of number of leaves visited.
getMeanOfSquares() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Gets the value of the meanOfSquares property.
getMeanPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the mean of points visited.
getMeanPrec() - Method in class weka.experiment.ResultMatrix
  returns the current precision for the means.
getMeanPrecision() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the default precision for the mean.
getMeans() - Method in class weka.estimators.KernelEstimator
  Return the means of the kernels.
getMeanSquared() - Method in class weka.classifiers.lazy.IBk
  Gets whether the mean squared error is used rather than mean absolute error when doing cross-validation.
getMeanSquaredError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the meanSquaredError property.
getMeanStddev() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  returns the current mean/stddev setup
getMeanValue() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
getMeanWidth() - Method in class weka.experiment.ResultMatrix
  returns the current width for the mean.
getMeasure(String) - Method in class weka.classifiers.bayes.BayesNet
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.functions.SimpleLogistic
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.functions.SMOreg
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.lazy.IBk
  Returns the value of the named measure from the neighbour search algorithm, plus the chosen K in case cross-validation is enabled.
getMeasure(String) - Method in class weka.classifiers.lazy.LWL
  Returns the value of the named measure from the neighbour search algorithm.
getMeasure(String) - Method in class weka.classifiers.meta.AdditiveRegression
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.meta.Bagging
  Returns the value of the named measure.
getMeasure(String) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.misc.InputMappedClassifier
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.rules.DecisionTable
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.rules.JRip
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.rules.PART
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.trees.J48
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.trees.LMT
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.trees.m5.M5Base
  Returns the value of the named measure
getMeasure(String) - Method in class weka.classifiers.trees.RandomForest
  Returns the value of the named measure.
getMeasure(String) - Method in class weka.classifiers.trees.REPTree
  Returns the value of the named measure.
getMeasure(String) - Method in interface weka.core.AdditionalMeasureProducer
  Returns the value of the named measure
getMeasure(String) - Method in class weka.core.neighboursearch.BallTree
  Returns the value of the named measure.
getMeasure(String) - Method in class weka.core.neighboursearch.CoverTree
  Returns the value of the named measure.
getMeasure(String) - Method in class weka.core.neighboursearch.KDTree
  Returns the value of the named measure.
getMeasure(String) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Returns the value of the named measure.
getMeasure(String) - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the value of the named measure.
getMeasure(String) - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns the value of the named measure.
getMeasure(String) - Method in class weka.experiment.AveragingResultProducer
  Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.ClassifierSplitEvaluator
  Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.CrossValidationResultProducer
  Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.DatabaseResultProducer
  Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the value of the named measure.
getMeasure(String) - Method in class weka.experiment.LearningRateResultProducer
  Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.RandomSplitResultProducer
  Returns the value of the named measure
getMeasure(String) - Method in class weka.experiment.RegressionSplitEvaluator
  Returns the value of the named measure
getMeasurePerformance() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Gets whether performance statistics are being calculated or not.
getMedian() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Gets the value of the median property.
getMembershipValues(Instance) - Method in class weka.classifiers.meta.Bagging
  Computes an array that indicates leaf membership
getMembershipValues(Instance) - Method in class weka.classifiers.meta.FilteredClassifier
  Computes an array that has a value for each element in the partition.
getMembershipValues(Instance) - Method in class weka.classifiers.meta.RandomCommittee
  Computes an array that indicates leaf membership
getMembershipValues(Instance) - Method in class weka.classifiers.trees.j48.ClassifierTree
  Computes a list that indicates node membership
getMembershipValues(Instance) - Method in class weka.classifiers.trees.J48
  Computes an array that indicates node membership.
getMembershipValues(Instance) - Method in class weka.classifiers.trees.RandomForest
  Computes an array that indicates leaf membership
getMembershipValues(Instance) - Method in class weka.classifiers.trees.RandomTree
  Computes array that indicates node membership.
getMembershipValues(Instance) - Method in class weka.classifiers.trees.REPTree
  Computes array that indicates node membership.
getMembershipValues(Instance) - Method in interface weka.core.PartitionGenerator
  Computes an array that has a value for each element in the partition.
getMenu() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns the menu bar to be added in a frame
getMenuBar() - Method in class weka.classifiers.bayes.net.GUI
  Get the menu bar for this application.
getMenuBar() - Method in interface weka.gui.GUIChooser.GUIChooserMenuPlugin
  Return the menu bar for this plugin
getMenuBar() - Method in class weka.gui.scripting.FileScriptingPanel
  Returns the menu bar to to be displayed in the frame.
getMenuBar() - Method in class weka.gui.scripting.ScriptingPanel
  Returns the menu bar to to be displayed in the frame.
getMenuBar() - Method in class weka.gui.SimpleCLIPanel
  Not supported.
getMenuEntryText() - Method in interface weka.gui.GUIChooser.GUIChooserMenuPlugin
  Get the text entry to appear in the menu
getMenuTitle() - Method in interface weka.gui.MainMenuExtension
  Returns the name of the menu item.
getMenuToDisplayIn() - Method in interface weka.gui.GUIChooser.GUIChooserMenuPlugin
  Get the menu that the plugin is to be listed in
getMergeValueRange() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Get the range of the merge values used.
getMetaClassifier() - Method in class weka.classifiers.meta.Stacking
  Gets the meta classifier.
getMetadata() - Method in class weka.core.Attribute
  Returns the properties supplied for this attribute.
getMetaData() - Method in class weka.core.converters.DatabaseConnection
  Gets meta data for the database connection object.
getMetaStore() - Static method in class weka.gui.beans.BeansProperties
  Get the metastore
getMethod() - Method in class weka.classifiers.functions.neural.NeuralNode
getMethod() - Method in class weka.classifiers.meta.MultiClassClassifier
  Gets the method used.
getMethod() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
  Gets the value of the method property.
getMethodName() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Get the transformation method.
getMetricDescription() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
  Get a short description of this metric (algorithm, forumulas etc.).
getMetricName() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
  Get the name of this metric
getMetricNamesForRule() - Method in class weka.associations.AssociationRule
  Return the names of the metrics available for this rule.
getMetricNamesForRule() - Method in class weka.associations.DefaultAssociationRule
getMetricRange(Map<String, WeightMass>) - Method in class weka.classifiers.trees.ht.GiniSplitMetric
getMetricRange(Map<String, WeightMass>) - Method in class weka.classifiers.trees.ht.InfoGainSplitMetric
getMetricRange(Map<String, WeightMass>) - Method in class weka.classifiers.trees.ht.SplitMetric
  Get the range of the splitting metric
getMetricsToDisplay() - Method in class weka.classifiers.evaluation.Evaluation
  Get a list of the names of metrics to have appear in the output The default is to display all built in metrics and plugin metrics that haven't been globally disabled.
getMetricsToDisplay() - Method in class weka.classifiers.Evaluation
  Get a list of the names of metrics to have appear in the output The default is to display all built in metrics and plugin metrics that haven't been globally disabled.
getMetricType() - Method in class weka.associations.Apriori
  Get the metric type
getMetricType() - Method in class weka.associations.FPGrowth
  Get the metric type to use.
getMetricValuesForRule() - Method in class weka.associations.AssociationRule
  Get all the available metric values for this rule.
getMetricValuesForRule() - Method in class weka.associations.DefaultAssociationRule
getMiddle(double[]) - Method in class weka.core.EuclideanDistance
  Returns value in the middle of the two parameter values.
getMin() - Method in class weka.core.pmml.jaxbbindings.Target
  Gets the value of the min property.
getMin() - Method in class weka.core.pmml.jaxbbindings.Time
  Gets the value of the min property.
getMin() - Method in class weka.gui.beans.ChartEvent
  Get the min y value
getMinAbsoluteCoefficientValue() - Method in class weka.classifiers.functions.SGDText
  Get the minimum absolute magnitude for model coefficients.
getMinArray() - Method in class weka.filters.unsupervised.attribute.Normalize
  Returns the calculated minimum values for the attributes in the data.
getMinBoxRelWidth() - Method in class weka.core.neighboursearch.KDTree
  Gets the minimum relative box width.
getMinBucketSize() - Method in class weka.classifiers.rules.OneR
  Get the value of minBucketSize.
getMinC() - Method in class weka.gui.visualize.Plot2D
  Return the current min value of the colouring attribute
getMinCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the minimum of coords per point.
getMinDefault() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Get the minimum default.
getMinFunction() - Method in class weka.core.Optimization
  Get the minimal function value
getMinimal() - Method in class weka.classifiers.functions.LinearRegression
  Returns whether to be more memory conservative or being able to output the model as string.
getMinimizeAbsoluteError() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Gets whether to min.
getMinimizeExpectedCost() - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Gets the value of MinimizeExpectedCost.
getMinimum() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the minimum property.
getMinimum() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Gets the value of the minimum property.
getMinimumAntConsSeparationTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the minimumAntConsSeparationTime property.
getMinimumBucketSize() - Method in class weka.attributeSelection.OneRAttributeEval
  Get the minimum bucket size used by oneR
getMinimumCanopyDensity() - Method in class weka.clusterers.Canopy
  Get the minimum T2-based density below which a canopy will be pruned during periodic pruning.
getMinimumConfidence() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the minimumConfidence property.
getMinimumConfidence() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the minimumConfidence property.
getMinimumFractionOfWeightInfoGain() - Method in class weka.classifiers.trees.HoeffdingTree
  Get the minimum fraction of weight required down at least two branches for info gain splitting
getMinimumFrequency() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Gets the minimum frequency.
getMinimumItemsetSeparationTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the minimumItemsetSeparationTime property.
getMinimumLift() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the minimumLift property.
getMinimumNumberInstances() - Method in class weka.core.Capabilities
  returns the minimum number of instances that have to be in the dataset
getMinimumNumberOfAntecedentItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the minimumNumberOfAntecedentItems property.
getMinimumNumberOfConsequentItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the minimumNumberOfConsequentItems property.
getMinimumNumberOfItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the minimumNumberOfItems property.
getMinimumSupport() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the minimumSupport property.
getMinimumSupport() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the minimumSupport property.
getMinimumTotalSequenceTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
  Gets the value of the minimumTotalSequenceTime property.
getMiningBuildTask() - Method in class weka.core.pmml.jaxbbindings.PMML
  Gets the value of the miningBuildTask property.
getMiningFields() - Method in class weka.core.pmml.jaxbbindings.MiningSchema
  Gets the value of the miningField property.
getMiningFields() - Method in class weka.core.pmml.MiningSchema
getMiningModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the miningModel property.
getMiningSchema() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
  Get the mining schema for this model.
getMiningSchema() - Method in interface weka.core.pmml.PMMLModel
  Get the mining schema.
getMiningSchemaAsInstances() - Method in class weka.core.pmml.MiningSchema
  Get the mining schema fields as an Instances object.
getMinInstNum() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the lower boundary for instances per cluster.
getMinInstNum() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Gets the lower boundary for instances per cluster.
getMinIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns the minimum of internal nodes visited.
getMinkowski() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the minkowski property.
getMinLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns the minimum number of leaves visited.
getMinLevel() - Method in class weka.core.logging.Logger
  Returns the minimum level log messages must have in order to appear in the log.
getMinLogLikelihoodImprovementCV() - Method in class weka.clusterers.EM
  Get the minimum improvement in cross-validated log likelihood required to consider increasing the number of clusters when cross-validating to find the best number of clusters
getMinLogLikelihoodImprovementIterating() - Method in class weka.clusterers.EM
  Get the minimum improvement in log likelihood necessary to perform another iteration of the E and M steps.
getMinMax(Instances, int, double[]) - Static method in class weka.estimators.CheckEstimator
  Find the minimum and the maximum of the attribute and return it in the last parameter..
getMinMax(Instances, int, double[]) - Static method in class weka.estimators.EstimatorUtils
  Find the minimum and the maximum of the attribute and return it in the last parameter..
getMinMetric() - Method in class weka.associations.Apriori
  Get the value of minConfidence.
getMinMetric() - Method in class weka.associations.FPGrowth
  Get the value of minConfidence.
getMinNo() - Method in class weka.classifiers.rules.JRip
  Gets the minimum total weight of the instances in a rule
getMinNum() - Method in class weka.classifiers.trees.RandomTree
  Get the value of MinNum.
getMinNum() - Method in class weka.classifiers.trees.REPTree
  Get the value of MinNum.
getMinNumInstances() - Method in class weka.classifiers.trees.LMT
  Get the value of minNumInstances.
getMinNumInstances() - Method in class weka.classifiers.trees.m5.M5Base
  Get the minimum number of instances to allow at a leaf node
getMinNumInstances() - Method in class weka.classifiers.trees.m5.Rule
  Get the minimum number of instances to allow at a leaf node
getMinNumInstances() - Method in class weka.classifiers.trees.m5.RuleNode
  Get the minimum number of instances to allow at a leaf node
getMinNumObj() - Method in class weka.classifiers.rules.PART
  Get the value of minNumObj.
getMinNumObj() - Method in class weka.classifiers.trees.J48
  Get the value of minNumObj.
getMinPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the minimum of points visited.
getMinRadius() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the lower boundary for the radiuses of the clusters.
getMinRange() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Gets the lower boundary for the range of x
getMinRuleSize() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Gets the minimum number of tests in rules.
getMinStdDev() - Method in class weka.clusterers.EM
  Get the minimum allowable standard deviation.
getMinStdDev() - Method in class weka.clusterers.MakeDensityBasedClusterer
  Get the minimum allowable standard deviation.
getMinTermFreq() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Get the MinTermFreq value.
getMinThreshold() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Get the minimum threshold.
getMinValue() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
getMinVarianceProp() - Method in class weka.classifiers.trees.RandomTree
  Get the value of MinVarianceProp.
getMinVarianceProp() - Method in class weka.classifiers.trees.REPTree
  Get the value of MinVarianceProp.
getMinVersion() - Method in interface weka.gui.visualize.plugins.ErrorVisualizePlugin
  Get the minimum version of Weka, inclusive, the class is designed to work with.
getMinVersion() - Method in interface weka.gui.visualize.plugins.GraphVisualizePlugin
  Get the minimum version of Weka, inclusive, the class is designed to work with.
getMinVersion() - Method in interface weka.gui.visualize.plugins.TreeVisualizePlugin
  Get the minimum version of Weka, inclusive, the class is designed to work with.
getMinVersion() - Method in interface weka.gui.visualize.plugins.VisualizePlugin
  Get the minimum version of Weka, inclusive, the class is designed to work with.
getMinWordFrequency() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Get the minimum word frequency.
getMinWordFrequency() - Method in class weka.classifiers.functions.SGDText
  Get the minimum word frequency.
getMinX() - Method in class weka.gui.visualize.Plot2D
  Return the current min value of the attribute plotted on the x axis
getMinXBound() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Gets the minimum x-coordinate bound, in training-instance units (not mouse coordinates).
getMinY() - Method in class weka.gui.visualize.Plot2D
  Return the current min value of the attribute plotted on the y axis
getMinYBound() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Gets the minimum y-coordinate bound, in training-instance units (not mouse coordinates).
getMisses() - Method in class weka.core.FindWithCapabilities
  returns the misses from the last find call.
getMissingFreq() - Method in class weka.core.pmml.jaxbbindings.Counts
  Gets the value of the missingFreq property.
getMissingMerge() - Method in class weka.attributeSelection.GainRatioAttributeEval
  get whether missing values are being distributed or not
getMissingMerge() - Method in class weka.attributeSelection.InfoGainAttributeEval
  get whether missing values are being distributed or not
getMissingMerge() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  get whether missing values are being distributed or not
getMissingMode() - Method in class weka.classifiers.lazy.KStar
  Gets the method to use for handling missing values.
getMissingSeparate() - Method in class weka.attributeSelection.CfsSubsetEval
  Return true is missing is treated as a separate value
getMissingValue() - Method in class weka.core.converters.CSVLoader
  Returns the current placeholder for missing values.
getMissingValue() - Method in class weka.core.converters.CSVSaver
  Returns the current placeholder for missing values.
getMissingValuePenalty() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the missingValuePenalty property.
getMissingValuePenalty() - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Gets the value of the missingValuePenalty property.
getMissingValueReplacement() - Method in class weka.core.pmml.jaxbbindings.MiningField
  Gets the value of the missingValueReplacement property.
getMissingValueStrategy() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the missingValueStrategy property.
getMissingValueStrategy() - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Gets the value of the missingValueStrategy property.
getMissingValueTreatment() - Method in class weka.core.pmml.jaxbbindings.MiningField
  Gets the value of the missingValueTreatment property.
getMissingValueTreatmentMethod() - Method in class weka.core.pmml.MiningFieldMetaInfo
  Get the missing value treatment method for this field.
getModalValue() - Method in class weka.core.pmml.jaxbbindings.DiscrStats
  Gets the value of the modalValue property.
getModel() - Method in class weka.classifiers.trees.m5.RuleNode
  Get the linear model at this node
getModel() - Method in class weka.gui.SortedTableModel
  returns the current model, can be null
getModelClass() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Gets the value of the modelClass property.
getModelDF() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the modelDF property.
getModelFile() - Method in class weka.classifiers.misc.SerializedClassifier
  Gets the file containing the serialized model.
getModelHeader(Instances) - Method in class weka.classifiers.misc.InputMappedClassifier
  Return the instance structure that the encapsulated model was built with.
getModelLiftGraph() - Method in class weka.core.pmml.jaxbbindings.LiftData
  Gets the value of the modelLiftGraph property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.MiningModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.Regression
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.TextModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
  Gets the value of the modelName property.
getModelName() - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Gets the value of the modelName property.
getModelParameters() - Method in class weka.classifiers.trees.lmt.LMTNode
  Returns a string describing the number of LogitBoost iterations performed at this node, the total number of LogitBoost iterations performed (including iterations at higher levels in the tree), and the number of training examples at this node.
getModelPath() - Method in class weka.classifiers.misc.InputMappedClassifier
  Get the path used for loading a model.
getModelStats() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the modelStats property.
getModelStats() - Method in class weka.core.pmml.jaxbbindings.Regression
  Gets the value of the modelStats property.
getModelType() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the modelType property.
getModelType() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Gets the value of the modelType property.
getModelValueAt(int, int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  returns the value at the given position
getModifyHeader() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Gets whether the header will be modified when selecting on nominal attributes.
getModifyHeader() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Gets whether the header will be modified when selecting on nominal attributes.
getMomentum() - Method in class weka.classifiers.functions.MultilayerPerceptron
getMultiInstance() - Method in class weka.core.TestInstances
  Gets whether multi-instance data (with a fixed structure) is generated
getMultiInstanceCapabilities() - Method in interface weka.core.MultiInstanceCapabilitiesHandler
  Returns the capabilities of this multi-instance classifier for the relational data (i.e., the bags).
getMultiLineComment() - Method in class weka.gui.scripting.SyntaxDocument
  Returns whether multi-line comments are enabled.
getMultiLineCommentEnd() - Method in class weka.gui.scripting.SyntaxDocument
  Returns the end of a multi-line comment.
getMultiLineCommentStart() - Method in class weka.gui.scripting.SyntaxDocument
  Returns the string that is the start of a multi-line comment.
getMultipleModelMethod() - Method in class weka.core.pmml.jaxbbindings.Segmentation
  Gets the value of the multipleModelMethod property.
getMultivariateStat() - Method in class weka.core.pmml.jaxbbindings.MultivariateStats
  Gets the value of the multivariateStat property.
getMultivariateStats() - Method in class weka.core.pmml.jaxbbindings.ModelStats
  Gets the value of the multivariateStats property.
getN() - Method in class weka.core.pmml.jaxbbindings.ArrayType
  Gets the value of the n property.
getN() - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
  Gets the value of the n property.
getN() - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
  Gets the value of the n property.
getNaiveBayesModel() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Get the naive bayes model at this node
getNaiveBayesModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the naiveBayesModel property.
getNaiveBayesPredictionThreshold() - Method in class weka.classifiers.trees.HoeffdingTree
  Get the number of instances (weight) a leaf should observe before allowing naive Bayes to make predictions
getName() - Method in class weka.classifiers.bayes.BayesNet
  get name of the Bayes network
getName() - Method in class weka.core.json.JSONNode
  Returns the name of the node.
getName() - Method in class weka.core.pmml.Function
getName() - Method in class weka.core.pmml.jaxbbindings.Application
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Characteristic
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Cluster
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.DataField
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Extension
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.MiningField
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Parameter
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.ParameterField
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Partition
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Predictor
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.ResultField
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.Taxonomy
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.jaxbbindings.TextDocument
  Gets the value of the name property.
getName() - Method in class weka.core.pmml.MiningFieldMetaInfo
  Get the name of this field.
getName() - Method in class weka.core.PropertyPath.PathElement
  returns the name of the property
getName() - Method in class weka.filters.unsupervised.attribute.AddExpression
  Returns the name of the new attribute
getName() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Get the name of the new attribute
getName() - Method in class weka.gui.visualize.VisualizePanel
  Returns the name associated with this plot.
getNameAndValueFromUnsupervisedNominalToBinaryDerivedAttribute(Instances, Attribute) - Static method in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
  Extracts the original attribute name and value from the name of a binary indicator attribute created by unsupervised NominalToBinary.
getNameAtIndex(int) - Method in class weka.gui.ResultHistoryPanel
  Gets the name of theitem in the list at the specified index
getNamedBuffer(String) - Method in class weka.gui.ResultHistoryPanel
  Gets the named buffer
getNamedMetric(String, int...) - Method in class weka.classifiers.evaluation.EvaluationMetricHelper
  Gets the value of a named metric.
getNamedMetricThresholds(String) - Method in class weka.classifiers.evaluation.EvaluationMetricHelper
  Gets the thresholds produced by the metric, if the metric implements ThresholdProducingMetric.
getNamedMetricValue(String) - Method in class weka.associations.AssociationRule
  Get the value of the named metric for this rule
getNamedMetricValue(String) - Method in class weka.associations.DefaultAssociationRule
getNamedObject(String) - Method in class weka.gui.ResultHistoryPanel
  Get the named object from the list
getNbCols() - Method in class weka.core.pmml.jaxbbindings.Matrix
  Gets the value of the nbCols property.
getNbCorrect() - Method in class weka.core.pmml.jaxbbindings.RuleSet
  Gets the value of the nbCorrect property.
getNbCorrect() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the nbCorrect property.
getNbRows() - Method in class weka.core.pmml.jaxbbindings.Matrix
  Gets the value of the nbRows property.
getNearestNeighborModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the nearestNeighborModel property.
getNearestNeighbourSearchAlgorithm() - Method in class weka.classifiers.lazy.IBk
  Returns the current nearestNeighbourSearch algorithm in use.
getNearestNeighbourSearchAlgorithm() - Method in class weka.classifiers.lazy.LWL
  Returns the current nearestNeighbourSearch algorithm in use.
getNegativeTargetFieldDisplayValue() - Method in class weka.core.pmml.jaxbbindings.ROC
  Gets the value of the negativeTargetFieldDisplayValue property.
getNegativeTargetFieldValue() - Method in class weka.core.pmml.jaxbbindings.ROC
  Gets the value of the negativeTargetFieldValue property.
getNeuralInput() - Method in class weka.core.pmml.jaxbbindings.NeuralInputs
  Gets the value of the neuralInput property.
getNeuralNetwork() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the neuralNetwork property.
getNeuralOutput() - Method in class weka.core.pmml.jaxbbindings.NeuralOutputs
  Gets the value of the neuralOutput property.
getNeuron() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Gets the value of the neuron property.
getNewAttributeName() - Method in class weka.gui.beans.SubstringLabelerRules
  Get the name to use for the new attribute that is added
getNewLine() - Method in class weka.gui.scripting.Script
  Returns the new line string in use.
getNext(int) - Method in class weka.classifiers.functions.supportVector.SMOset
  Gets the next element in the set.
getNextInstance(Instances) - Method in class weka.core.converters.AbstractLoader
getNextInstance(Instances) - Method in class weka.core.converters.ArffLoader
  Read the data set incrementally---get the next instance in the data set or returns null if there are no more instances to get.
getNextInstance(Instances) - Method in class weka.core.converters.C45Loader
  Read the data set incrementally---get the next instance in the data set or returns null if there are no more instances to get.
getNextInstance(Instances) - Method in class weka.core.converters.CSVLoader
getNextInstance(Instances) - Method in class weka.core.converters.DatabaseLoader
  Read the data set incrementally---get the next instance in the data set or returns null if there are no more instances to get.
getNextInstance(Instances) - Method in class weka.core.converters.JSONLoader
  JSONLoader is unable to process a data set incrementally.
getNextInstance(Instances) - Method in class weka.core.converters.LibSVMLoader
  LibSVmLoader is unable to process a data set incrementally.
getNextInstance(Instances) - Method in interface weka.core.converters.Loader
  Read the data set incrementally---get the next instance in the data set or returns null if there are no more instances to get.
getNextInstance(Instances) - Method in class weka.core.converters.MatlabLoader
  MatlabLoader is unable to process a data set incrementally.
getNextInstance(Instances) - Method in class weka.core.converters.SerializedInstancesLoader
  Read the data set incrementally---get the next instance in the data set or returns null if there are no more instances to get.
getNextInstance(Instances) - Method in class weka.core.converters.SVMLightLoader
  SVMLightLoader is unable to process a data set incrementally.
getNextInstance(Instances) - Method in class weka.core.converters.TextDirectoryLoader
  Process input directories/files incrementally.
getNextInstance(Instances) - Method in class weka.core.converters.XRFFLoader
  XRFFLoader is unable to process a data set incrementally.
getNGramMaxSize() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Gets the max N of the NGram.
getNGramMaxSize() - Method in class weka.core.tokenizers.NGramTokenizer
  Gets the max N of the NGram.
getNGramMinSize() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Gets the min N of the NGram.
getNGramMinSize() - Method in class weka.core.tokenizers.NGramTokenizer
  Gets the min N of the NGram.
getNoClass() - Method in class weka.core.TestInstances
  whether no class attribute is generated
getNode(String) - Method in class weka.classifiers.bayes.net.BIFReader
  getNode finds the index of the node with name sNodeName and throws an exception if no such node can be found.
getNode(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  returns index of node with given name.
getNode(String) - Method in class weka.classifiers.bayes.net.MarginCalculator
getNode() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the node property.
getNode(String) - Method in class weka.core.xml.XMLDocument
  Returns the node represented by the XPath expression.
getNode2(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  returns index of node with given name, or -1 if no such node exists
getNodeName(int) - Method in class weka.classifiers.bayes.BayesNet
  get name of a node in the Bayes network
getNodes() - Method in class weka.classifiers.trees.lmt.LMTNode
  Return a list of all inner nodes in the tree
getNodes(Vector<LMTNode>) - Method in class weka.classifiers.trees.lmt.LMTNode
  Fills a list with all inner nodes in the tree
getNodes() - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
  give access to set of graph nodes
getNodes() - Method in interface weka.gui.graphvisualizer.LayoutEngine
  give access to set of graph nodes
getNodeSplitter() - Method in class weka.core.neighboursearch.KDTree
  Returns the splitting method currently in use to split the nodes of the KDTree.
getNodeType() - Method in class weka.core.json.JSONNode
  Returns the type of the container.
getNodeValue(int, int) - Method in class weka.classifiers.bayes.BayesNet
  get name of a particular value of a node
getNoHeaderRow() - Method in class weka.core.converters.CSVSaver
  Get whether to not write the header row
getNoHeaderRowPresent() - Method in class weka.core.converters.CSVLoader
  Get whether there is no header row in the data.
getNoise() - Method in class weka.classifiers.functions.GaussianProcesses
  Get the value of noise.
getNoisePercent() - Method in class weka.datagenerators.classifiers.classification.LED24
  Gets the noise percentage.
getNoiseRate() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Gets the gaussian noise rate.
getNoiseRate() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the percentage of noise set.
getNoiseRate() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Gets the percentage of noise set.
getNoiseVariance() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Gets the noise variance
getNominalAttributes() - Method in class weka.core.converters.CSVLoader
  Returns the current attribute range to be forced to type nominal.
getNominalBinary() - Method in class weka.gui.beans.SubstringLabeler
  Get whether the new attribute created should be a nominal binary attribute rather than a numeric binary attribute.
getNominalBinary() - Method in class weka.gui.beans.SubstringLabelerRules
  Get whether to create a nominal binary attribute in the case when the user has not supplied an explicit label to use for each rule.
getNominalCols() - Method in class weka.datagenerators.ClusterGenerator
  returns the range of nominal attributes
getNominalIndices() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Get the set of nominal value indices that will be used for selection
getNominalLabels() - Method in class weka.filters.unsupervised.attribute.Add
  Get the list of labels for nominal attribute creation.
getNominalLabelSpecs() - Method in class weka.core.converters.CSVLoader
  Get label specifications for nominal attributes.
getNominalOrStringValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Get the value of the attribute as a string (nominal and string attribute) or null if the attribute is not nominal or string
getNominalStringReplacementValue() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Get the nominal/string replacement value
getNominalToBinaryFilter() - Method in class weka.classifiers.functions.MultilayerPerceptron
getNoPruning() - Method in class weka.classifiers.trees.REPTree
  Get the value of NoPruning.
getNoReplacement() - Method in class weka.filters.supervised.instance.Resample
  Gets whether instances are drawn with or without replacement.
getNoReplacement() - Method in class weka.filters.unsupervised.instance.Resample
  Gets whether instances are drawn with or without replacement.
getNorm() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Get the instance's Norm.
getNorm() - Method in class weka.classifiers.functions.SGDText
  Get the instance's Norm.
getNorm() - Method in class weka.core.pmml.jaxbbindings.LinearNorm
  Gets the value of the norm property.
getNormalizationMethod() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Gets the value of the normalizationMethod property.
getNormalizationMethod() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Gets the value of the normalizationMethod property.
getNormalizationMethod() - Method in class weka.core.pmml.jaxbbindings.Regression
  Gets the value of the normalizationMethod property.
getNormalizationMethod() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Gets the value of the normalizationMethod property.
getNormalizationScheme() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Gets the value of the normalizationScheme property.
getNormalizeAttributes() - Method in class weka.classifiers.functions.MultilayerPerceptron
getNormalizedCountTable() - Method in class weka.core.pmml.jaxbbindings.Baseline
  Gets the value of the normalizedCountTable property.
getNormalizeDimWidths() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Whether we are normalizing the widths(ranges) of the dimensions (attributes) or not.
getNormalizeDocLength() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Get whether to normalize the length of each document
getNormalizeDocLength() - Method in class weka.classifiers.functions.SGDText
  Get whether to normalize the length of each document
getNormalizeDocLength() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Gets whether if the word frequencies for a document (instance) should be normalized or not.
getNormalizeNodeWidth() - Method in class weka.core.neighboursearch.KDTree
  Gets the normalize flag.
getNormalizeNumericClass() - Method in class weka.classifiers.functions.MultilayerPerceptron
getNormContinuous() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the normContinuous property.
getNormContinuous() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the normContinuous property.
getNormContinuous() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the normContinuous property.
getNormDiscrete() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the normDiscrete property.
getNormDiscrete() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the normDiscrete property.
getNormDiscrete() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the normDiscrete property.
getNoSizeDetermination() - Method in class weka.experiment.ClassifierSplitEvaluator
  Returns whether the size determination (train/test/classifer) is skipped.
getNoSizeDetermination() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Returns whether the size determination (train/test/clusterer) is skipped.
getNoSizeDetermination() - Method in class weka.experiment.RegressionSplitEvaluator
  Returns whether the size determination (train/test/classifer) is skipped.
getNot() - Method in class weka.datagenerators.Test
  Negates the test.
getNotCapabilities() - Method in class weka.core.FindWithCapabilities
  The "not to have" capabilities to search for.
getNotes() - Method in class weka.experiment.Experiment
  Get the user notes.
getNoteText() - Method in class weka.gui.beans.Note
  Get the note text
getNoTrueChildStrategy() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the noTrueChildStrategy property.
getNoTrueChildStrategy() - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Gets the value of the noTrueChildStrategy property.
getNPointPrecision(Instances, int) - Static method in class weka.classifiers.evaluation.ThresholdCurve
  Calculates the n point precision result, which is the precision averaged over n evenly spaced (w.r.t recall) samples of the curve.
getNrOfGoodOperations() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
  Gets the number of "good operations"
getNrOfLookAheadSteps() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
  Gets the number of look-ahead steps
getNrOfNodes() - Method in class weka.classifiers.bayes.BayesNet
  get number of nodes in the Bayes network
getNrOfParents(int) - Method in class weka.classifiers.bayes.BayesNet
  get number of parents of a node in the network structure
getNrOfParents() - Method in class weka.classifiers.bayes.net.ParentSet
  returns number of parents
getNumArcs() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Gets the number of arcs for the bayesian net
getNUMARRAY() - Method in class weka.core.pmml.jaxbbindings.ContStats
  Gets the value of the numarray property.
getNUMARRAY() - Method in class weka.core.pmml.jaxbbindings.Matrix
  Gets the value of the numarray property.
getNUMARRAY() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
  Gets the value of the numarray property.
getNumAttributes() - Method in class weka.core.TestInstances
  returns the overall number of attributes (incl.
getNumAttributes() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Gets the number of attributes that should be produced.
getNumAttributes() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Gets the number of attributes that should be produced.
getNumAttributes() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Gets the number of attributes that should be produced.
getNumAttributes() - Method in class weka.datagenerators.ClusterGenerator
  Gets the number of attributes that should be produced.
getNumAttributes() - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Get the number of attributes (< 1 percentage, >= 1 absolute number).
getNumberOfAttributes() - Method in class weka.core.pmml.jaxbbindings.SupportVectors
  Gets the value of the numberOfAttributes property.
getNumberOfAttributes() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Gets the current number of attributes (dimensionality) to which the data will be reduced to.
getNumberOfClusters() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Gets the value of the numberOfClusters property.
getNumberOfCoefficients() - Method in class weka.core.pmml.jaxbbindings.Coefficients
  Gets the value of the numberOfCoefficients property.
getNumberOfDocuments() - Method in class weka.core.pmml.jaxbbindings.TextModel
  Gets the value of the numberOfDocuments property.
getNumberOfFields() - Method in class weka.core.pmml.jaxbbindings.DataDictionary
  Gets the value of the numberOfFields property.
getNumberOfFields() - Method in class weka.core.pmml.jaxbbindings.VectorFields
  Gets the value of the numberOfFields property.
getNumberOfInputs() - Method in class weka.core.pmml.jaxbbindings.NeuralInputs
  Gets the value of the numberOfInputs property.
getNumberOfItems() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the numberOfItems property.
getNumberOfItems() - Method in class weka.core.pmml.jaxbbindings.Itemset
  Gets the value of the numberOfItems property.
getNumberOfItemsets() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the numberOfItemsets property.
getNumberOfLayers() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Gets the value of the numberOfLayers property.
getNumberOfMetricsForRule() - Method in class weka.associations.AssociationRule
  Gets the number of metrics available for this rule.
getNumberOfMetricsForRule() - Method in class weka.associations.DefaultAssociationRule
getNumberOfNeighbors() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Gets the value of the numberOfNeighbors property.
getNumberOfNeurons() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Gets the value of the numberOfNeurons property.
getNumberOfOutputs() - Method in class weka.core.pmml.jaxbbindings.NeuralOutputs
  Gets the value of the numberOfOutputs property.
getNumberOfRules() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the numberOfRules property.
getNumberOfSets() - Method in class weka.core.pmml.jaxbbindings.Sequence
  Gets the value of the numberOfSets property.
getNumberOfSets() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Gets the value of the numberOfSets property.
getNumberOfSupportVectors() - Method in class weka.core.pmml.jaxbbindings.SupportVectors
  Gets the value of the numberOfSupportVectors property.
getNumberOfTerms() - Method in class weka.core.pmml.jaxbbindings.TextModel
  Gets the value of the numberOfTerms property.
getNumberOfTransactionGroups() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Gets the value of the numberOfTransactionGroups property.
getNumberOfTransactions() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the numberOfTransactions property.
getNumberOfTransactions() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Gets the value of the numberOfTransactions property.
getNumberOfVectors() - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
  Gets the value of the numberOfVectors property.
getNumBins() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Gets the number of bins numeric attributes will be divided into
getNumBins() - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
getNumBins() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Gets the number of bins
getNumBoostingIterations() - Method in class weka.classifiers.functions.SimpleLogistic
  Get the value of numBoostingIterations.
getNumBoostingIterations() - Method in class weka.classifiers.trees.LMT
  Get the value of numBoostingIterations.
getNumBootstrapRuns() - Method in class weka.estimators.UnivariateMixtureEstimator
  Returns the number of Bootstrap runs.
getNumCentroids() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Gets the number of centroids.
getNumClasses() - Method in class weka.core.TestInstances
  returns the current number of classes
getNumClasses() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Gets the number of classes the dataset should have.
getNumClasses() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Gets the number of classes the dataset should have.
getNumClusters() - Method in class weka.attributeSelection.UnsupervisedSubsetEvaluator
  Return the number of clusters used by the subset evaluator
getNumClusters() - Method in class weka.clusterers.Canopy
  Get the number of clusters to generate
getNumClusters() - Method in class weka.clusterers.ClusterEvaluation
  Return the number of clusters found for the most recent call to evaluateClusterer
getNumClusters() - Method in class weka.clusterers.EM
  Get the number of clusters
getNumClusters() - Method in class weka.clusterers.FarthestFirst
  gets the number of clusters to generate
getNumClusters() - Method in class weka.clusterers.HierarchicalClusterer
getNumClusters() - Method in class weka.clusterers.SimpleKMeans
  gets the number of clusters to generate.
getNumClusters() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the number of clusters the dataset should have.
getNumComponents() - Method in class weka.estimators.UnivariateMixtureEstimator
  Returns the number of components to use.
getNumCycles() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the number of cycles.
getNumDatasets() - Method in class weka.experiment.PairedTTester
  Gets the number of datasets in the resultsets
getNumDatasets() - Method in interface weka.experiment.Tester
  Gets the number of datasets in the resultsets
getNumDate() - Method in class weka.core.CheckScheme
  returns the current number of date attributes
getNumDate() - Method in class weka.core.TestInstances
  returns the current number of date attributes
getNumDecimals() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns the number of digits to output after the decimal point.
getNumeric() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Check if new attribute is to be numeric.
getNumericColumns() - Method in class weka.gui.sql.ResultSetHelper
  returns an array that indicates whether a column is numeric or nor.
getNumericInfo() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
  Gets the value of the numericInfo property.
getNumericInfo() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Gets the value of the numericInfo property.
getNumericPredictors() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
  Gets the value of the numericPredictor property.
getNumericReplacementValue() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Get the numeric replacement value
getNumericValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Get the value of the attribute as a number or Utils.missingValue() if the attribute is not numeric.
getNumExamples() - Method in class weka.datagenerators.ClassificationGenerator
  Gets the number of examples, given by option.
getNumExamples() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Gets the number of examples, given by option.
getNumExamples() - Method in class weka.datagenerators.RegressionGenerator
  Gets the number of examples, given by option.
getNumExamplesAct() - Method in class weka.datagenerators.DataGenerator
  Gets the number of examples the dataset should have.
getNumExecutionSlots() - Method in class weka.attributeSelection.GreedyStepwise
  Gets the number of threads.
getNumExecutionSlots() - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
  Get the number of execution slots (threads) to use for building the members of the ensemble.
getNumExecutionSlots() - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
  Get the number of execution slots (threads) to use for building the members of the ensemble.
getNumExecutionSlots() - Method in class weka.classifiers.trees.RandomForest
  Get the number of execution slots (threads) to use for building the members of the ensemble.
getNumExecutionSlots() - Method in class weka.clusterers.EM
  Get the degree of parallelism to use.
getNumExecutionSlots() - Method in class weka.clusterers.SimpleKMeans
  Get the degree of parallelism to use.
getNumFeatures() - Method in class weka.classifiers.trees.RandomForest
  Get the number of features used in random selection.
getNumFiles() - Method in class weka.core.Debug.Log
  returns the number of files being used
getNumFolds() - Method in class weka.classifiers.functions.SMO
  Get the value of numFolds.
getNumFolds() - Method in class weka.classifiers.meta.CVParameterSelection
  Gets the number of folds for the cross-validation.
getNumFolds() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Get the value of NumFolds.
getNumFolds() - Method in class weka.classifiers.meta.MultiScheme
  Gets the number of folds for cross-validation.
getNumFolds() - Method in class weka.classifiers.meta.Stacking
  Gets the number of folds for the cross-validation.
getNumFolds() - Method in class weka.classifiers.rules.PART
  Get the value of numFolds.
getNumFolds() - Method in class weka.classifiers.trees.J48
  Get the value of numFolds.
getNumFolds() - Method in class weka.classifiers.trees.RandomTree
  Get the value of NumFolds.
getNumFolds() - Method in class weka.classifiers.trees.REPTree
  Get the value of NumFolds.
getNumFolds() - Method in class weka.clusterers.EM
  Get the number of folds to use when cross-validating to find the best number of clusters.
getNumFolds() - Method in class weka.experiment.CrossValidationResultProducer
  Get the value of NumFolds.
getNumFolds() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Gets the number of folds in which dataset is to be split into.
getNumFolds() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Gets the number of folds in which dataset is to be split into.
getNumFolds() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Gets the number of cross-validation folds used by the filter.
getNumGeneratingModels() - Method in interface weka.gui.boundaryvisualizer.DataGenerator
  Returns the number of generating models used by this DataGenerator
getNumGeneratingModels() - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
  Return the number of kernels (there is one per training instance)
getNumInnerNodes() - Method in class weka.classifiers.trees.lmt.LMTNode
  Method to count the number of inner nodes in the tree
getNumInputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
getNumInstances() - Method in class weka.classifiers.bayes.BayesNet
  Returns the number of instances the model was built from.
getNumInstances() - Method in class weka.classifiers.trees.m5.RuleNode
  Return the number of instances that reach this node.
getNumInstances() - Method in class weka.core.CheckScheme
  Gets the current number of instances to use for the datasets.
getNumInstances() - Method in class weka.core.TestInstances
  returns the current number of instances to produce
getNumInstances() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
getNumInstances() - Method in class weka.estimators.CheckEstimator
  Gets the current number of instances to use for the datasets.
getNumInstancesRelational() - Method in class weka.core.CheckScheme
  returns the current number of instances in relational/bag attributes to produce
getNumInstancesRelational() - Method in class weka.core.TestInstances
  returns the current number of instances in relational/bag attributes to produce
getNumIrrelevant() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Gets the number of irrelevant attributes.
getNumIterations() - Method in class weka.classifiers.functions.VotedPerceptron
  Get the value of NumIterations.
getNumIterations() - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
  Gets the number of bagging iterations
getNumKernels() - Method in class weka.estimators.KernelEstimator
  Return the number of kernels in this kernel estimator
getNumKMeansRuns() - Method in class weka.clusterers.EM
  Returns the number of runs of k-means to perform.
getNumLeaves() - Method in class weka.classifiers.trees.lmt.LMTNode
  Returns the number of leaves in the tree.
getNumLeaves() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Returns the number of leaves in the built tree.
getNumNeighbours() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Get the number of nearest neighbours
getNumNodes() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Returns the number of nodes (internal + leaf) in the built tree.
getNumNominal() - Method in class weka.core.CheckScheme
  returns the current number of nominal attributes
getNumNominal() - Method in class weka.core.TestInstances
  returns the current number of nominal attributes
getNumNominalValues() - Method in class weka.core.TestInstances
  returns the current number of values for nominal attributes
getNumNumeric() - Method in class weka.core.CheckScheme
  returns the current number of numeric attributes
getNumNumeric() - Method in class weka.core.TestInstances
  returns the current number of numeric attributes
getNumNumeric() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Gets the number of numerical attributes.
getNumOfPredictors() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the numOfPredictors property.
getNumOfRecords() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the numOfRecords property.
getNumOfRecordsWeighted() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the numOfRecordsWeighted property.
getNumOutputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
getNumQueries() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the number of queries.
getNumRegressions() - Method in class weka.classifiers.functions.SimpleLogistic
  Get the number of LogitBoost iterations performed (= the number of regression functions fit by LogitBoost).
getNumRegressions() - Method in class weka.classifiers.trees.lmt.LogisticBase
  The number of LogitBoost iterations performed (= the number of simple regression functions fit).
getNumRelational() - Method in class weka.core.CheckScheme
  returns the current number of relational attributes
getNumRelational() - Method in class weka.core.TestInstances
  returns the current number of relational attributes
getNumRelationalDate() - Method in class weka.core.TestInstances
  returns the current number of date attributes in a relational attribute
getNumRelationalNominal() - Method in class weka.core.TestInstances
  returns the current number of nominal attributes in a relational attribute
getNumRelationalNominalValues() - Method in class weka.core.TestInstances
  returns the current number of values for nominal attributes in a relational attribute
getNumRelationalNumeric() - Method in class weka.core.TestInstances
  returns the current number of numeric attributes in a relational attribute
getNumRelationalString() - Method in class weka.core.TestInstances
  returns the current number of string attributes in a relational attribute
getNumResultsets() - Method in class weka.experiment.PairedTTester
  Gets the number of resultsets in the data.
getNumResultsets() - Method in interface weka.experiment.Tester
  Gets the number of resultsets in the data.
getNumRules() - Method in class weka.associations.Apriori
  Get the value of numRules.
getNumRules() - Method in class weka.associations.AssociationRules
  Get the number of rules.
getNumRules() - Method in class weka.associations.FilteredAssociationRules
  Get the number of rules.
getNumRulesToFind() - Method in class weka.associations.FPGrowth
  Get the number of rules to find.
getNumRuns() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Get the value of NumRuns.
getNumSamplesPerRegion() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Get the number of points to sample from a region (fixed dimensions).
getNumString() - Method in class weka.core.CheckScheme
  returns the current number of string attributes
getNumString() - Method in class weka.core.TestInstances
  returns the current number of string attributes
getNumSymbols() - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
  Gets the number of symbols this estimator operates with
getNumSymbols() - Method in class weka.estimators.DiscreteEstimator
  Gets the number of symbols this estimator operates with
getNumTabs() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getNumThreads() - Method in class weka.attributeSelection.CfsSubsetEval
  Gets the number of threads.
getNumThreads() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Gets the number of threads.
getNumThreads() - Method in class weka.classifiers.meta.LogitBoost
  Gets the number of threads.
getNumToSelect() - Method in class weka.attributeSelection.GreedyStepwise
  Gets the number of attributes to be retained.
getNumToSelect() - Method in interface weka.attributeSelection.RankedOutputSearch
  Gets the user specified number of attributes to be retained.
getNumToSelect() - Method in class weka.attributeSelection.Ranker
  Gets the number of attributes to be retained.
getNumTraining() - Method in class weka.classifiers.lazy.IBk
  Get the number of training instances the classifier is currently using.
getNumTrees() - Method in class weka.classifiers.trees.RandomForest
  Get the value of numTrees.
getNumValues() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  returns array that stores the number of values for a nominal attribute.
getNumValues() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Gets how many values are retained
getObject() - Method in class weka.core.CheckGOE
  Get the object used in the tests.
getObject() - Method in class weka.core.SerializedObject
  Returns a serialized object.
getOccurrence() - Method in class weka.core.pmml.jaxbbindings.Sequence
  Gets the value of the occurrence property.
getOccurrence() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Gets the value of the occurrence property.
getOffDiagDefault() - Method in class weka.core.pmml.jaxbbindings.Matrix
  Gets the value of the offDiagDefault property.
getOffscreenAdditionalOpts() - Method in class weka.gui.beans.DataVisualizer
  Get the additional options for the offscreen renderer
getOffscreenAdditionalOpts() - Method in class weka.gui.beans.ModelPerformanceChart
  Get the additional options for the offscreen renderer
getOffscreenHeight() - Method in class weka.gui.beans.DataVisualizer
  Get the height (in pixels) of the offscreen image to generate
getOffscreenHeight() - Method in class weka.gui.beans.ModelPerformanceChart
  Get the height (in pixels) of the offscreen image to generate
getOffscreenRendererName() - Method in class weka.gui.beans.DataVisualizer
  Get the name of the renderer to use for offscreen chart rendering operations
getOffscreenRendererName() - Method in class weka.gui.beans.ModelPerformanceChart
  Get the name of the renderer to use for offscreen chart rendering operations
getOffscreenWidth() - Method in class weka.gui.beans.DataVisualizer
  Get the width (in pixels) of the offscreen image to generate.
getOffscreenWidth() - Method in class weka.gui.beans.ModelPerformanceChart
  Get the width (in pixels) of the offscreen image to generate.
getOffscreenXAxis() - Method in class weka.gui.beans.DataVisualizer
  Get the name of the attribute for the x-axis in offscreen plots
getOffscreenXAxis() - Method in class weka.gui.beans.ModelPerformanceChart
  Get the name of the attribute for the x-axis in offscreen plots
getOffscreenYAxis() - Method in class weka.gui.beans.DataVisualizer
  Get the name of the attribute for the y-axix of offscreen plots.
getOffscreenYAxis() - Method in class weka.gui.beans.ModelPerformanceChart
  Get the name of the attribute for the y-axix of offscreen plots.
getOffset() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
  Gets the value of the offset property.
getOffsetValue() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the offsetValue property.
getOffsetVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the offsetVariable property.
getOmega() - Method in class weka.classifiers.functions.supportVector.Puk
  Gets the omega value.
getOnDemandDirectory() - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Returns the directory that will be searched for cost files when loading on demand.
getOnDemandDirectory() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
  Returns the directory that will be searched for cost files when loading on demand.
getOperator() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
  Gets the value of the operator property.
getOperator() - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
  Gets the value of the operator property.
getOptimizations() - Method in class weka.classifiers.rules.JRip
  Gets the the number of optimization runs
getOptimumLiftGraph() - Method in class weka.core.pmml.jaxbbindings.LiftData
  Gets the value of the optimumLiftGraph property.
getOption(char, String[]) - Static method in class weka.core.Utils
  Gets an option indicated by a flag "-Char" from the given array of strings.
getOption(String, String[]) - Static method in class weka.core.Utils
  Gets an option indicated by a flag "-String" from the given array of strings.
getOptionHandler() - Method in class weka.core.CheckOptionHandler
  Get the OptionHandler used in the tests.
getOptionPos(char, String[]) - Static method in class weka.core.Utils
  Gets the index of an option or flag indicated by a flag "-Char" from the given array of strings.
getOptionPos(String, String[]) - Static method in class weka.core.Utils
  Gets the index of an option or flag indicated by a flag "-String" from the given array of strings.
getOptions() - Method in class weka.associations.Apriori
  Gets the current settings of the Apriori object.
getOptions() - Method in class weka.associations.CheckAssociator
  Gets the current settings of the CheckAssociator.
getOptions() - Method in class weka.associations.FilteredAssociator
  Gets the current settings of the Associator.
getOptions() - Method in class weka.associations.FPGrowth
  Gets the current settings of the classifier.
getOptions() - Method in class weka.associations.SingleAssociatorEnhancer
  Gets the current settings of the associator.
getOptions() - Method in class weka.attributeSelection.BestFirst
  Gets the current settings of BestFirst.
getOptions() - Method in class weka.attributeSelection.CfsSubsetEval
  Gets the current settings of CfsSubsetEval
getOptions() - Method in class weka.attributeSelection.CheckAttributeSelection
  Gets the current settings of the CheckAttributeSelection.
getOptions() - Method in class weka.attributeSelection.CorrelationAttributeEval
  Gets the current settings of WrapperSubsetEval.
getOptions() - Method in class weka.attributeSelection.GainRatioAttributeEval
  Gets the current settings of WrapperSubsetEval.
getOptions() - Method in class weka.attributeSelection.GreedyStepwise
  Gets the current settings of ReliefFAttributeEval.
getOptions() - Method in class weka.attributeSelection.InfoGainAttributeEval
  Gets the current settings of WrapperSubsetEval.
getOptions() - Method in class weka.attributeSelection.OneRAttributeEval
  returns the current setup.
getOptions() - Method in class weka.attributeSelection.PrincipalComponents
  Gets the current settings of PrincipalComponents
getOptions() - Method in class weka.attributeSelection.Ranker
  Gets the current settings of ReliefFAttributeEval.
getOptions() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Gets the current settings of ReliefFAttributeEval.
getOptions() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  Gets the current settings of WrapperSubsetEval.
getOptions() - Method in class weka.attributeSelection.WrapperSubsetEval
  Gets the current settings of WrapperSubsetEval.
getOptions() - Method in class weka.classifiers.AbstractClassifier
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.bayes.BayesNet
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.NaiveBayes
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.K2
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.global.TAN
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.K2
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
  Gets the current settings of the search algorithm.
getOptions() - Method in class weka.classifiers.bayes.net.search.local.TAN
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.BVDecompose
  Gets the current settings of the CheckClassifier.
getOptions() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Gets the current settings of the CheckClassifier.
getOptions() - Method in class weka.classifiers.CheckClassifier
  Gets the current settings of the CheckClassifier.
getOptions() - Method in class weka.classifiers.CheckSource
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.classifiers.evaluation.output.prediction.CSV
  Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.classifiers.functions.GaussianProcesses
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.LinearRegression
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.Logistic
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.MultilayerPerceptron
  Gets the current settings of NeuralNet.
getOptions() - Method in class weka.classifiers.functions.SGD
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.SGDText
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.SimpleLinearRegression
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.SimpleLogistic
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.functions.SMO
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.SMOreg
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.supportVector.CachedKernel
  Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.CheckKernel
  Gets the current settings of the CheckKernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.Kernel
  Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.Puk
  Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.RBFKernel
  Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.supportVector.RegSMO
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  Gets the current settings of the object.
getOptions() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Gets the current settings of the Kernel.
getOptions() - Method in class weka.classifiers.functions.VotedPerceptron
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.lazy.IBk
  Gets the current settings of IBk.
getOptions() - Method in class weka.classifiers.lazy.KStar
  Gets the current settings of K*.
getOptions() - Method in class weka.classifiers.lazy.LWL
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.meta.AdaBoostM1
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.AdditiveRegression
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.Bagging
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.CVParameterSelection
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.FilteredClassifier
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.LogitBoost
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.MultiClassClassifier
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.MultiScheme
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.meta.RandomSubSpace
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.Stacking
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.meta.Vote
  Gets the current settings of Vote.
getOptions() - Method in class weka.classifiers.misc.InputMappedClassifier
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.misc.SerializedClassifier
  returns the options of the current setup
getOptions() - Method in class weka.classifiers.MultipleClassifiersCombiner
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.RandomizableClassifier
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.rules.DecisionTable
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.rules.JRip
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.rules.OneR
  Gets the current settings of the OneR classifier.
getOptions() - Method in class weka.classifiers.rules.PART
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.SingleClassifierEnhancer
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.trees.HoeffdingTree
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.trees.J48
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.trees.LMT
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.classifiers.trees.m5.M5Base
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.trees.M5P
  Gets the current settings of the classifier.
getOptions() - Method in class weka.classifiers.trees.RandomForest
  Gets the current settings of the forest.
getOptions() - Method in class weka.classifiers.trees.RandomTree
  Gets options from this classifier.
getOptions() - Method in class weka.classifiers.trees.REPTree
  Gets options from this classifier.
getOptions() - Method in class weka.clusterers.AbstractClusterer
  Gets the current settings of the clusterer.
getOptions() - Method in class weka.clusterers.Canopy
  Gets the current settings of Canopy.
getOptions() - Method in class weka.clusterers.CheckClusterer
  Gets the current settings of the CheckClusterer.
getOptions() - Method in class weka.clusterers.Cobweb
  Gets the current settings of Cobweb.
getOptions() - Method in class weka.clusterers.EM
  Gets the current settings of EM.
getOptions() - Method in class weka.clusterers.FarthestFirst
  Gets the current settings of FarthestFirst
getOptions() - Method in class weka.clusterers.FilteredClusterer
  Gets the current settings of the clusterer.
getOptions() - Method in class weka.clusterers.HierarchicalClusterer
  Gets the current settings of the clusterer.
getOptions() - Method in class weka.clusterers.MakeDensityBasedClusterer
  Gets the current settings of the clusterer.
getOptions() - Method in class weka.clusterers.RandomizableClusterer
  Gets the current settings of the classifier.
getOptions() - Method in class weka.clusterers.RandomizableDensityBasedClusterer
  Gets the current settings of the classifier.
getOptions() - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
  Gets the current settings of the classifier.
getOptions() - Method in class weka.clusterers.SimpleKMeans
  Gets the current settings of SimpleKMeans.
getOptions() - Method in class weka.clusterers.SingleClustererEnhancer
  Gets the current settings of the clusterer.
getOptions() - Method in class weka.core.Check
  Gets the current settings of the CheckClassifier.
getOptions() - Method in class weka.core.CheckGOE
  Gets the current settings of the object.
getOptions() - Method in class weka.core.CheckOptionHandler
  Gets the current settings of the CheckClassifier.
getOptions() - Method in class weka.core.CheckScheme
  Gets the current settings of the CheckClassifier.
getOptions() - Method in class weka.core.converters.AbstractFileSaver
  Gets the current settings of the Saver object.
getOptions() - Method in class weka.core.converters.ArffSaver
  returns the options of the current setup
getOptions() - Method in class weka.core.converters.C45Saver
  Gets the current settings of the C45Saver object.
getOptions() - Method in class weka.core.converters.CSVLoader
getOptions() - Method in class weka.core.converters.CSVSaver
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.core.converters.DatabaseLoader
  Gets the setting
getOptions() - Method in class weka.core.converters.DatabaseSaver
  Gets the setting.
getOptions() - Method in class weka.core.converters.JSONSaver
  returns the options of the current setup.
getOptions() - Method in class weka.core.converters.LibSVMSaver
  returns the options of the current setup
getOptions() - Method in class weka.core.converters.MatlabSaver
  returns the options of the current setup.
getOptions() - Method in class weka.core.converters.SVMLightSaver
  returns the options of the current setup.
getOptions() - Method in class weka.core.converters.TextDirectoryLoader
  Gets the setting
getOptions() - Method in class weka.core.converters.XRFFSaver
  returns the options of the current setup
getOptions() - Method in class weka.core.FilteredDistance
  Gets the current settings.
getOptions() - Method in class weka.core.FindWithCapabilities
  Gets the current settings of this object.
getOptions() - Method in class weka.core.Javadoc
  Gets the current settings of this object.
getOptions() - Method in class weka.core.ListOptions
  Gets the current settings of this object.
getOptions() - Method in class weka.core.MinkowskiDistance
  Gets the current settings of this object.
getOptions() - Method in class weka.core.neighboursearch.BallTree
  Gets the current settings of KDtree.
getOptions() - Method in class weka.core.neighboursearch.balltrees.BallSplitter
  Gets the current settings of the object.
getOptions() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Gets the current settings.
getOptions() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
  Gets the current settings of the object.
getOptions() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Gets the current settings.
getOptions() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Gets the current settings of this BallTree MiddleOutConstructor.
getOptions() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
  Gets the current settings of KDtree.
getOptions() - Method in class weka.core.neighboursearch.CoverTree
  Gets the current settings of KDtree.
getOptions() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Gets the current settings.
getOptions() - Method in class weka.core.neighboursearch.KDTree
  Gets the current settings of KDtree.
getOptions() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Gets the current settings of the object.
getOptions() - Method in class weka.core.neighboursearch.LinearNNSearch
  Gets the current settings.
getOptions() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Gets the current settings.
getOptions() - Method in class weka.core.NormalizableDistance
  Gets the current settings.
getOptions() - Method in interface weka.core.OptionHandler
  Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.core.OptionHandlerJavadoc
  Gets the current settings of this object.
getOptions() - Method in class weka.core.stemmers.SnowballStemmer
  Gets the current settings of the classifier.
getOptions() - Method in class weka.core.stopwords.AbstractFileBasedStopwords
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.core.stopwords.AbstractStopwords
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.core.stopwords.MultiStopwords
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.core.TechnicalInformationHandlerJavadoc
  Gets the current settings of this object.
getOptions() - Method in class weka.core.TestInstances
  Gets the current settings of this object.
getOptions() - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
  Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.core.tokenizers.NGramTokenizer
  Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.core.tokenizers.Tokenizer
  Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.datagenerators.ClassificationGenerator
  Gets the current settings of the classifier.
getOptions() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Gets the current settings of the datagenerator.
getOptions() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Gets the current settings of the datagenerator.
getOptions() - Method in class weka.datagenerators.classifiers.classification.LED24
  Gets the current settings of the datagenerator.
getOptions() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Gets the current settings of the datagenerator.
getOptions() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Gets the current settings of the datagenerator RDG1.
getOptions() - Method in class weka.datagenerators.classifiers.regression.Expression
  Gets the current settings of the datagenerator BIRCHCluster.
getOptions() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Gets the current settings of the datagenerator BIRCHCluster.
getOptions() - Method in class weka.datagenerators.ClusterDefinition
  Gets the current settings of the datagenerator BIRCHCluster.
getOptions() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the current settings of the datagenerator BIRCHCluster.
getOptions() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Gets the current settings of the datagenerator.
getOptions() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Gets the current settings of the datagenerator BIRCHCluster.
getOptions() - Method in class weka.datagenerators.ClusterGenerator
  Gets the current settings of the classifier.
getOptions() - Method in class weka.datagenerators.DataGenerator
  Gets the current settings of the datagenerator RDG1.
getOptions() - Method in class weka.datagenerators.RegressionGenerator
  Gets the current settings of the classifier.
getOptions() - Method in class weka.estimators.CheckEstimator
  Gets the current settings of the CheckEstimator.
getOptions() - Method in class weka.estimators.Estimator
  Gets the current settings of the Estimator.
getOptions() - Method in class weka.estimators.UnivariateMixtureEstimator
  Returns the current set of options.
getOptions() - Method in class weka.experiment.AveragingResultProducer
  Gets the current settings of the result producer.
getOptions() - Method in class weka.experiment.ClassifierSplitEvaluator
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.experiment.CrossValidationResultProducer
  Gets the current settings of the result producer.
getOptions() - Method in class weka.experiment.CSVResultListener
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.experiment.DatabaseResultProducer
  Gets the current settings of the result producer.
getOptions() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.experiment.Experiment
  Gets the current settings of the experiment iterator.
getOptions() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Gets the current settings of the result producer.
getOptions() - Method in class weka.experiment.InstanceQuery
  Gets the current settings of InstanceQuery
getOptions() - Method in class weka.experiment.LearningRateResultProducer
  Gets the current settings of the result producer.
getOptions() - Method in class weka.experiment.PairedTTester
  Gets current settings of the PairedTTester.
getOptions() - Method in class weka.experiment.RandomSplitResultProducer
  Gets the current settings of the result producer.
getOptions() - Method in class weka.experiment.RegressionSplitEvaluator
  Gets the current settings of the Classifier.
getOptions() - Method in class weka.experiment.ResultMatrix
  Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.filters.CheckSource
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.Filter
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.MultiFilter
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.attribute.AddClassification
  Gets the current settings of the classifier.
getOptions() - Method in class weka.filters.supervised.attribute.AttributeSelection
  Gets the current settings for the attribute selection (search, evaluator) etc.
getOptions() - Method in class weka.filters.supervised.attribute.ClassOrder
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.attribute.Discretize
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.attribute.NominalToBinary
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.attribute.PartitionMembership
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.instance.Resample
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.Add
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.AddCluster
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.AddExpression
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.AddID
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Gets the current settings of the filter
getOptions() - Method in class weka.filters.unsupervised.attribute.AddValues
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.Copy
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.Discretize
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.FirstOrder
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.MathExpression
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.NominalToString
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.Normalize
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.Remove
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.RemoveByName
  returns the options of the current setup.
getOptions() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
getOptions() - Method in class weka.filters.unsupervised.attribute.Reorder
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
getOptions() - Method in class weka.filters.unsupervised.attribute.SortLabels
  Gets the current settings of the classifier.
getOptions() - Method in class weka.filters.unsupervised.attribute.StringToNominal
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.attribute.SwapValues
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
getOptions() - Method in class weka.filters.unsupervised.instance.Randomize
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.RemoveRange
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.Resample
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Gets the current settings of the filter.
getOptions() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Gets the current settings of the filter.
getOptions() - Method in class weka.gui.explorer.AbstractPlotInstances
  Gets the current option settings for the OptionHandler.
getOptions() - Method in class weka.gui.Main
  returns the options of the current setup.
getOptions() - Method in class weka.gui.scripting.Script
  Gets the current settings of the script.
getOPTYPE(int) - Static method in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
  Returns an OPTYPE for a weka attribute type.
getOptype() - Method in class weka.core.pmml.Expression
  Get the optype of the result of applying this Expression.
getOptype() - Method in class weka.core.pmml.FieldMetaInfo
  Get the optype.
getOptype() - Method in class weka.core.pmml.jaxbbindings.DataField
  Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.MiningField
  Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.ParameterField
  Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.ResultField
  Gets the value of the optype property.
getOptype() - Method in class weka.core.pmml.jaxbbindings.Target
  Gets the value of the optype property.
getOrder() - Method in enum weka.core.logging.Logger.Level
  Returns the order of this level.
getOrder() - Method in class weka.core.MinkowskiDistance
  Gets the order.
getOrderedFlag() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the ordered flag (option O).
getOrig() - Method in class weka.core.pmml.jaxbbindings.LinearNorm
  Gets the value of the orig property.
getOriginalCoords() - Method in class weka.gui.beans.MetaBean
  returns the vector containing the original coordinates (instances of class Point) for the inputs
getOtherCapabilities() - Method in class weka.core.Capabilities
  returns all other capabilities, besides class and attribute related ones
getOutlierFactor() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Gets the factor for determining the thresholds for outliers.
getOutliers() - Method in class weka.core.pmml.jaxbbindings.MiningField
  Gets the value of the outliers property.
getOutliers() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
  Gets the value of the outliers property.
getOutlierTreatmentMethod() - Method in class weka.core.pmml.MiningFieldMetaInfo
  Get the outlier treatment method used for this field.
getOutput() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the output property.
getOutput() - Method in class weka.core.pmml.jaxbbindings.Regression
  Gets the value of the output property.
getOutput() - Method in class weka.datagenerators.DataGenerator
  Gets the print writer.
getOutput() - Method in class weka.gui.explorer.DataGeneratorPanel
  returns the generated output as text
getOutput() - Method in class weka.gui.scripting.FileScriptingPanel
  Returns the text area that is used for displaying output on stdout and stderr.
getOutput() - Method in class weka.gui.scripting.ScriptingPanel
  Returns the text area that is used for displaying output on stdout and stderr.
getOutput() - Method in class weka.gui.SimpleCLIPanel
  Returns the text area that is used for displaying output on stdout and stderr.
getOutputAdditionalStats() - Method in class weka.classifiers.functions.LinearRegression
  Get whether to output additional statistics (such as std.
getOutputAdditionalStats() - Method in class weka.classifiers.functions.SimpleLinearRegression
  Get whether to output additional statistics (such as std.
getOutputClassification() - Method in class weka.filters.supervised.attribute.AddClassification
  Get whether the classifiction of the classifier is output.
getOutputColumn() - Method in class weka.core.pmml.jaxbbindings.MapValues
  Gets the value of the outputColumn property.
getOutputDef() - Method in class weka.core.pmml.BuiltInArithmetic
  Get the structure of the result produced by this function.
getOutputDef() - Method in class weka.core.pmml.BuiltInMath
  Get the structure of the result produced by this function.
getOutputDef() - Method in class weka.core.pmml.BuiltInString
  Get the structure of the result produced by this function.
getOutputDef() - Method in class weka.core.pmml.DefineFunction
  Get the structure of the result produced by this function.
getOutputDef() - Method in class weka.core.pmml.FieldRef
  Return the structure of the result of applying this Expression as an Attribute.
getOutputDef() - Method in class weka.core.pmml.Function
  Get the structure of the result produced by this function.
getOutputDetailedInfo() - Method in class weka.attributeSelection.CorrelationAttributeEval
  Get whether to output per-value correlation for nominal attributes
getOutputDistribution() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns whether to output the class distribution as well.
getOutputDistribution() - Method in class weka.filters.supervised.attribute.AddClassification
  Get whether the classifiction of the classifier is output.
getOutputErrorFlag() - Method in class weka.filters.supervised.attribute.AddClassification
  Get whether the classifiction of the classifier is output.
getOutputFields() - Method in class weka.core.pmml.jaxbbindings.Output
  Gets the value of the outputField property.
getOutputFile() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns the output file to write to.
getOutputFile() - Method in class weka.experiment.CrossValidationResultProducer
  Get the value of OutputFile.
getOutputFile() - Method in class weka.experiment.CSVResultListener
  Get the value of OutputFile.
getOutputFile() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Get the value of OutputFile.
getOutputFile() - Method in class weka.experiment.RandomSplitResultProducer
  Get the value of OutputFile.
getOutputFilename() - Method in class weka.core.converters.TextDirectoryLoader
  Gets whether the filename will be stored as an extra attribute.
getOutputFilename() - Method in class weka.gui.GenericPropertiesCreator
  returns the name of the output file
getOutputFormat() - Method in class weka.core.Debug.Clock
  returns the output format
getOutputFormat() - Method in class weka.filters.Filter
  Gets the format of the output instances.
getOutputFormat() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
  Gets the format of the output instances.
getOutputFormat() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the classname (and optional options) of the ResultMatrix class, responsible for the output format.
getOutputItemSets() - Method in class weka.associations.Apriori
  Gets whether itemsets are output as well
getOutputNeuron() - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
  Gets the value of the outputNeuron property.
getOutputNums() - Method in class weka.classifiers.functions.neural.NeuralConnection
  Use this to get easy access to the output numbers.
getOutputOffsetMultiplier() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Gets whether an additional attribute "Offset" is generated per Outlier/ExtremeValue attribute pair that lists the multiplier the value is off the median: value = median + 'multiplier' * IQR.
getOutputPerClassInfoRetrievalStats() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Get whether per-class information retrieval stats are to be output.
getOutputProbsForSVM() - Method in class weka.classifiers.functions.SGDText
  Get whether to fit a logistic regression (itself trained using SGD) to the outputs of the SVM (if an SVM is being learned).
getOutputProperties() - Method in class weka.gui.GenericPropertiesCreator
  returns the output properties object (structure like the template, but filled with classes instead of packages)
getOutputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
  Use this to get easy access to the outputs.
getOutputs() - Method in class weka.gui.beans.MetaBean
getOutputStructure() - Method in class weka.gui.beans.SubstringLabelerRules
  Get the output structure
getOutputTypes() - Method in class weka.core.Debug.DBO
  Gets the current output type selection
getOutputWordCounts() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Gets whether output instances contain 0 or 1 indicating word presence, or word counts.
getOverwriteWarning() - Method in class weka.gui.ConverterFileChooser
  Returns whether a popup appears with a warning that the file already exists (only save dialog).
getOwner() - Method in class weka.core.Capabilities
  returns the owner of this capabilities object
getOwner() - Static method in class weka.core.Copyright
  returns the entity owning the copyright
getOwner() - Method in class weka.gui.scripting.Script.ScriptThread
  Returns the owner.
getP() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Get the proportion of instances that are common between two training sets.
getPackage(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
  returns the packages part of the partial classname.
getPackageArchiveInfo(String) - Static method in class weka.core.WekaPackageManager
  Extract meta data from a package archive
getPackageHome() - Static method in class weka.core.WekaPackageManager
getPackageList(boolean) - Static method in class weka.core.WekaPackageManager
  Just get a list of the package names.
getPackageRepositoryURL() - Static method in class weka.core.WekaPackageManager
  Get the package repository URL
getPaint() - Method in class weka.gui.visualize.PostscriptGraphics
getPairCounts() - Method in class weka.core.pmml.jaxbbindings.BayesInput
  Gets the value of the pairCounts property.
getPanel(int) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns the specified panel, `null` if index is out of bounds
getPanel() - Method in class weka.gui.scripting.event.TitleUpdatedEvent
  Returns the scripting panel that triggered the event.
getPanelCount() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns the number of panels currently open
getPanels() - Method in class weka.gui.explorer.Explorer
  returns all the panels, apart from the PreprocessPanel
getParameter() - Method in class weka.core.pmml.jaxbbindings.ParameterList
  Gets the value of the parameter property.
getParameterField() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Gets the value of the parameterField property.
getParameterName() - Method in class weka.core.pmml.jaxbbindings.PCell
  Gets the value of the parameterName property.
getParameterName() - Method in class weka.core.pmml.jaxbbindings.PPCell
  Gets the value of the parameterName property.
getParameterNames() - Method in class weka.core.pmml.BuiltInArithmetic
  Returns an array of the names of the parameters expected as input by this function
getParameterNames() - Method in class weka.core.pmml.BuiltInMath
  Returns an array of the names of the parameters expected as input by this function.
getParameterNames() - Method in class weka.core.pmml.BuiltInString
  Returns an array of the names of the parameters expected as input by this function.
getParameterNames() - Method in class weka.core.pmml.DefineFunction
  Returns an array of the names of the parameters expected as input by this function.
getParameterNames() - Method in class weka.core.pmml.Function
  Returns an array of the names of the parameters expected as input by this function.
getParent(int, int) - Method in class weka.classifiers.bayes.BayesNet
  get node index of a parent of a node in the network structure
getParent(int) - Method in class weka.classifiers.bayes.net.ParentSet
  returns index parent of parent specified by index
getParent() - Method in class weka.datagenerators.ClusterDefinition
  returns the parent datagenerator this cluster belongs to
getParent(int) - Method in class weka.gui.treevisualizer.Node
  Get the parent edge.
getParentCardinality(int) - Method in class weka.classifiers.bayes.BayesNet
  get number of values the collection of parents of a node can take
getParentDialog(Container) - Static method in class weka.gui.PropertyDialog
  Tries to determine the dialog this panel is part of.
getParentField() - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Gets the value of the parentField property.
getParentFrame() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns the parent frame, if it's a JFrame, otherwise null
getParentFrame() - Method in class weka.gui.GUIChooser.ChildFrameSDI
  returns the parent frame, can be null.
getParentFrame() - Method in class weka.gui.Main.ChildFrameMDI
  returns the parent frame, can be null.
getParentFrame() - Method in class weka.gui.Main.ChildFrameSDI
  returns the parent frame, can be null.
getParentFrame(Container) - Static method in class weka.gui.PropertyDialog
  Tries to determine the frame this panel is part of.
getParentFrame() - Method in class weka.gui.SetInstancesPanel
  Returns the current frame the panel knows of, that it resides in.
getParentInternalFrame() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns the parent frame, if it's a JInternalFrame, otherwise null
getParentInternalFrame(Container) - Static method in class weka.gui.PropertyDialog
  Tries to determine the internal frame this panel is part of.
getParentLevelField() - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Gets the value of the parentLevelField property.
getParents() - Method in class weka.classifiers.bayes.net.ParentSet
getParentSet(int) - Method in class weka.classifiers.bayes.BayesNet
  get the parent set of a node
getParentSets() - Method in class weka.classifiers.bayes.BayesNet
  Get full set of parent sets.
getPartialScore() - Method in class weka.core.pmml.jaxbbindings.Attribute
  Gets the value of the partialScore property.
getPartition() - Method in class weka.core.pmml.jaxbbindings.Cluster
  Gets the value of the partition property.
getPartition() - Method in class weka.core.pmml.jaxbbindings.TargetValue
  Gets the value of the partition property.
getPartitionFieldStats() - Method in class weka.core.pmml.jaxbbindings.Partition
  Gets the value of the partitionFieldStats property.
getPartitionGenerator() - Method in class weka.filters.supervised.attribute.PartitionMembership
  Get the generator used by this filter
getPassword() - Method in class weka.core.converters.DatabaseLoader
  Returns the database password
getPassword() - Method in class weka.core.converters.DatabaseSaver
  Returns the database password.
getPassword() - Method in class weka.experiment.DatabaseUtils
  Get the database password.
getPassword() - Method in class weka.gui.DatabaseConnectionDialog
  Returns password from dialog
getPassword() - Method in class weka.gui.sql.ConnectionPanel
  returns the current Password.
getPassword() - Method in class weka.gui.sql.event.ResultChangedEvent
  returns the password that produced the table model
getPassword() - Method in class weka.gui.sql.ResultSetTable
  returns the password that produced the table model
getPassword() - Method in class weka.gui.sql.SqlViewer
  returns the password from the currently active tab in the ResultPanel, otherwise an empty string.
getPassword() - Method in class weka.gui.sql.SqlViewerDialog
  returns the chosen password, if any.
getPasteBuffer() - Method in class weka.gui.beans.KnowledgeFlowApp
  Get the contents of the paste buffer
getPath() - Method in class weka.gui.PropertySelectorDialog
  Gets the path of property nodes to the selected property.
getPattern() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the pattern type.
getPCell() - Method in class weka.core.pmml.jaxbbindings.ParamMatrix
  Gets the value of the pCell property.
getPCol() - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Gets the value of the pCol property.
getPCovCell() - Method in class weka.core.pmml.jaxbbindings.PCovMatrix
  Gets the value of the pCovCell property.
getPercent() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Gets the size of noise data as a percentage of the original set.
getPercent() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Gets the percent the attributes (dimensions) of the data will be reduced to
getPercentage() - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Gets the percentage of instances to select.
getPercentCompleted() - Method in class weka.gui.boundaryvisualizer.RemoteResult
  Return the progress for this row
getPerformanceStats() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Gets the class object that contains the performance statistics of the search method.
getPeriod() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
  Gets the value of the period property.
getPeriodicPruning() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Get how often to prune the dictionary
getPeriodicPruning() - Method in class weka.classifiers.functions.SGDText
  Get how often to prune the dictionary
getPeriodicPruning() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Gets the rate at which the dictionary is periodically pruned, as a percentage of the dataset size.
getPeriodicPruningRate() - Method in class weka.clusterers.Canopy
  Get the how often to prune low density canopies during training
getPerspectiveIcon() - Method in class weka.gui.beans.AttributeSummarizer
  Get the icon for this perspective.
getPerspectiveIcon() - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
  Get the icon for this perspective.
getPerspectiveIcon() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
  Get the icon for this perspective
getPerspectiveIcon() - Method in class weka.gui.beans.ScatterPlotMatrix
  Get the icon for this perspective.
getPerspectiveIcon() - Method in class weka.gui.beans.SQLViewerPerspective
  Get the icon for this perspective.
getPerspectiveTipText() - Method in class weka.gui.beans.AttributeSummarizer
  Get the tool tip text for this perspective.
getPerspectiveTipText() - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
  Get the tool tip text for this perspective.
getPerspectiveTipText() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
  Get the tool tip text for this perspective
getPerspectiveTipText() - Method in class weka.gui.beans.ScatterPlotMatrix
  Get the tool tip text for this perspective.
getPerspectiveTipText() - Method in class weka.gui.beans.SQLViewerPerspective
  Get the tool tip text for this perspective.
getPerspectiveTitle() - Method in class weka.gui.beans.AttributeSummarizer
  Get the title of this perspective
getPerspectiveTitle() - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
  Get the title of this perspective
getPerspectiveTitle() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
  Get the title of this perspective
getPerspectiveTitle() - Method in class weka.gui.beans.ScatterPlotMatrix
  Get the title of this perspective
getPerspectiveTitle() - Method in class weka.gui.beans.SQLViewerPerspective
  Get the title of this perspective
getPerturbationFraction() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Gets the perturbation fraction.
getPhase() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
  Gets the value of the phase property.
getPhi() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
  Gets the value of the phi property.
getPivot() - Method in class weka.core.matrix.LUDecomposition
  Return pivot permutation vector
getPivot() - Method in class weka.core.neighboursearch.balltrees.BallNode
  Returns the pivot/centre of the node's ball.
getPlainColumnName(int) - Method in class weka.gui.arffviewer.ArffTable
  returns the basically the attribute name of the column and not the HTML column name via getColumnName(int)
getPlainTitle() - Method in class weka.gui.scripting.FileScriptingPanel
  Returns the title (without the filename).
getPlainTitle() - Method in class weka.gui.scripting.GroovyPanel
  Returns the title (without the filename).
getPlainTitle() - Method in class weka.gui.scripting.JythonPanel
  Returns the title (without the filename).
getPlotData(String) - Method in class weka.gui.explorer.AbstractPlotInstances
  Assembles and returns the plot.
getPlotInstances() - Method in class weka.gui.explorer.AbstractPlotInstances
  Returns the generated plot instances.
getPlotInstances() - Method in class weka.gui.visualize.PlotData2D
  Returns the instances for this plot
getPlotName() - Method in class weka.gui.visualize.PlotData2D
  Get the name of this plot
getPlotNameHTML() - Method in class weka.gui.visualize.PlotData2D
  Get the name of the plot for use in a tool tip text.
getPlotPanel() - Method in class weka.gui.visualize.VisualizePanel
  Returns the underlying plot panel.
getPlots() - Method in class weka.gui.visualize.Plot2D
  Return the list of plots
getPlotShapes() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Get the vector of plot shapes (see weka.gui.visualize.Plot2D).
getPlotSizes() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Get the vector of plot sizes (see weka.gui.visualize.Plot2D).
getPlotTrainingData() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Returns true if training data is to be superimposed
getPluginInstance(String, String) - Static method in class weka.gui.beans.PluginManager
  Get an instance of a concrete implementation of a plugin type
getPluginMetric(String) - Method in class weka.classifiers.evaluation.Evaluation
  Get the named plugin evaluation metric
getPluginMetric(String) - Method in class weka.classifiers.Evaluation
  Get the named plugin evaluation metric
getPluginMetricNames() - Static method in class weka.classifiers.evaluation.EvaluationMetricHelper
  Get a list of plugin metric names
getPluginMetrics() - Static method in class weka.classifiers.evaluation.AbstractEvaluationMetric
  Gets a list of freshly instantiated concrete implementations of available plugin metrics or null if there are no plugin metrics available
getPluginMetrics() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the list of plugin metrics in use (or null if there are none)
getPluginMetrics() - Method in class weka.classifiers.Evaluation
  Returns the list of plugin metrics in use (or null if there are none)
getPluginNamesOfType(String) - Static method in class weka.gui.beans.PluginManager
  Get a set of names of plugins that implement the supplied interface.
getPMMLModel(String) - Static method in class weka.core.pmml.PMMLFactory
  Read and return a PMML model.
getPMMLModel(File) - Static method in class weka.core.pmml.PMMLFactory
  Read and return a PMML model.
getPMMLModel(InputStream) - Static method in class weka.core.pmml.PMMLFactory
  Read and return a PMML model.
getPMMLModel(String, Logger) - Static method in class weka.core.pmml.PMMLFactory
  Read and return a PMML model.
getPMMLModel(File, Logger) - Static method in class weka.core.pmml.PMMLFactory
  Read and return a PMML model.
getPMMLModel(InputStream, Logger) - Static method in class weka.core.pmml.PMMLFactory
  Read and return a PMML model.
getPMMLVersion() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
  Get the PMML version used for this model.
getPMMLVersion() - Method in interface weka.core.pmml.PMMLModel
  Get the version of PMML used to encode this model.
getPointSizeProportionalToMargin() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Get whether the point size should be proportional to the prediction margin (classification only).
getPoissonDistribution() - Method in class weka.core.pmml.jaxbbindings.Alternate
  Gets the value of the poissonDistribution property.
getPoissonDistribution() - Method in class weka.core.pmml.jaxbbindings.Baseline
  Gets the value of the poissonDistribution property.
getPoolSize() - Method in class weka.attributeSelection.CfsSubsetEval
  Gets the number of threads.
getPoolSize() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Gets the number of threads.
getPoolSize() - Method in class weka.classifiers.meta.LogitBoost
  Gets the number of threads.
getPopulationSize() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
getPopulationSize() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
getPopup() - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
  returns the currently set JPopupMenu.
getPositionX(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  get x position of a node
getPositionY(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  get y position of a node
getPositiveIndex() - Method in class weka.associations.FPGrowth
  Get the index of the attribute value to consider as positive for binary attributes in normal dense instances.
getPositiveTargetFieldDisplayValue() - Method in class weka.core.pmml.jaxbbindings.ROC
  Gets the value of the positiveTargetFieldDisplayValue property.
getPositiveTargetFieldValue() - Method in class weka.core.pmml.jaxbbindings.ROC
  Gets the value of the positiveTargetFieldValue property.
getPossibleSplits(SplitMetric) - Method in class weka.classifiers.trees.ht.ActiveHNode
  Returns a list of split candidates
getPostFixExpression() - Method in class weka.core.AttributeExpression
  Return the postfix expression
getPostProcessor() - Method in class weka.core.CheckScheme
  returns the current PostProcessor, can be null
getPostProcessor() - Method in class weka.estimators.CheckEstimator
  returns the current PostProcessor, can be null
getPParameter() - Method in class weka.core.pmml.jaxbbindings.Minkowski
  Gets the value of the pParameter property.
getPPCell() - Method in class weka.core.pmml.jaxbbindings.PPMatrix
  Gets the value of the ppCell property.
getPRCArea(Instances) - Static method in class weka.classifiers.evaluation.ThresholdCurve
  Calculates the area under the precision-recall curve (AUPRC).
getPreBuiltClassifiers() - Method in class weka.classifiers.meta.Vote
  Get the paths to pre-built serialized classifiers to load and include in the ensemble
getPrecision() - Method in class weka.classifiers.evaluation.TwoClassStats
  Calculate the precision.
getPrecision() - Method in class weka.core.pmml.jaxbbindings.VerificationField
  Gets the value of the precision property.
getPrecision() - Method in class weka.estimators.KernelEstimator
  Return the precision of this kernel estimator.
getPrecision() - Method in class weka.estimators.NormalEstimator
  Return the value of the precision of this normal estimator.
getPreComputeCorrelationMatrix() - Method in class weka.attributeSelection.CfsSubsetEval
  Get whether to pre-compute the full correlation matrix at the outset, rather than computing individual correlations lazily (as needed) during the search.
getPrediction(Classifier, Instance) - Method in class weka.classifiers.evaluation.EvaluationUtils
  Generate a single prediction for a test instance given the pre-trained classifier.
getPredictiveModelQuality() - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
  Gets the value of the predictiveModelQuality property.
getPredictor() - Method in class weka.core.pmml.jaxbbindings.CovariateList
  Gets the value of the predictor property.
getPredictor() - Method in class weka.core.pmml.jaxbbindings.FactorList
  Gets the value of the predictor property.
getPredictorName() - Method in class weka.core.pmml.jaxbbindings.PPCell
  Gets the value of the predictorName property.
getPredictorTerm() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
  Gets the value of the predictorTerm property.
getPredTargetColumn() - Method in class weka.experiment.ClassifierSplitEvaluator
getPreferredScrollableViewportSize() - Method in class weka.gui.AttributeSelectionPanel
getPrefix() - Method in class weka.gui.beans.SerializedModelSaver
  Get the prefix to prepend to the model file names.
getPremise() - Method in class weka.associations.AssociationRule
  Get the premise of this rule.
getPremise() - Method in class weka.associations.DefaultAssociationRule
getPremiseSupport() - Method in class weka.associations.AssociationRule
  Get the support for the premise.
getPremiseSupport() - Method in class weka.associations.DefaultAssociationRule
getPreprocessing() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Gets the filter used for preprocessing
getPreprocessPanel() - Method in class weka.gui.explorer.Explorer
  returns the instance of the PreprocessPanel being used in this instance of the Explorer
getPreserveInstancesOrder() - Method in class weka.clusterers.SimpleKMeans
  Gets whether order of instances must be preserved.
getPreserveOrder() - Method in class weka.gui.beans.CrossValidationFoldMaker
  Returns true if the order of the incoming instances is to be preserved under cross-validation (no randomization or stratification is done in this case).
getPrimaryMetricName() - Method in class weka.associations.AssociationRule
  Get the name of the primary metric of this rule (e.g.
getPrimaryMetricName() - Method in class weka.associations.DefaultAssociationRule
getPrimaryMetricValue() - Method in class weka.associations.AssociationRule
  Get the value of the metric for this rule.
getPrimaryMetricValue() - Method in class weka.associations.DefaultAssociationRule
getPrintColNames() - Method in class weka.experiment.ResultMatrix
  returns whether column names or numbers instead are printed.
getPrintLeafModels() - Method in class weka.classifiers.trees.HoeffdingTree
getPrintNewick() - Method in class weka.clusterers.HierarchicalClusterer
getPrintRowNames() - Method in class weka.experiment.ResultMatrix
  returns whether row names or numbers instead are printed.
getPrintTrees() - Method in class weka.classifiers.trees.RandomForest
  Get whether to print the individual ensemble trees in the output
getPriorProbability() - Method in class weka.core.pmml.jaxbbindings.TargetValue
  Gets the value of the priorProbability property.
getPriorProbability(String) - Method in class weka.core.pmml.TargetMetaInfo
  Get the prior probability for the supplied value.
getProbabilities() - Method in class weka.gui.boundaryvisualizer.RemoteResult
  Return the probability distributions for this row in the visualization
getProbability(int, int, int) - Method in class weka.classifiers.bayes.BayesNet
  get particular probability of the conditional probability distribtion of a node given its parents.
getProbability(double) - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
  Get a probability estimate for a value
getProbability() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
  Gets the value of the probability property.
getProbability(double, double) - Method in interface weka.estimators.ConditionalEstimator
  Get a probability for a value conditional on another value
getProbability(double, double) - Method in class weka.estimators.DDConditionalEstimator
  Get a probability estimate for a value
getProbability(double) - Method in class weka.estimators.DiscreteEstimator
  Get a probability estimate for a value
getProbability(double, double) - Method in class weka.estimators.DKConditionalEstimator
  Get a probability estimate for a value
getProbability(double, double) - Method in class weka.estimators.DNConditionalEstimator
  Get a probability estimate for a value
getProbability(double) - Method in class weka.estimators.Estimator
  Get a probability estimate for a value.
getProbability(double, double) - Method in class weka.estimators.KDConditionalEstimator
  Get a probability estimate for a value
getProbability(double) - Method in class weka.estimators.KernelEstimator
  Get a probability estimate for a value.
getProbability(double, double) - Method in class weka.estimators.KKConditionalEstimator
  Get a probability estimate for a value
getProbability(double) - Method in class weka.estimators.MahalanobisEstimator
  Get a probability estimate for a value
getProbability(double[]) - Method in interface weka.estimators.MultivariateEstimator
  Returns the probability density estimate at the given point.
getProbability(double[]) - Method in class weka.estimators.MultivariateGaussianEstimator
  Returns the probability density estimate at the given point.
getProbability(double, double) - Method in class weka.estimators.NDConditionalEstimator
  Get a probability estimate for a value
getProbability(double, double) - Method in class weka.estimators.NNConditionalEstimator
  Get a probability estimate for a value
getProbability(double) - Method in class weka.estimators.NormalEstimator
  Get a probability estimate for a value
getProbability(double) - Method in class weka.estimators.PoissonEstimator
  Get a probability estimate for a value
getProducer() - Method in class weka.associations.AssociationRules
  Get a string describing the scheme that produced these rules.
getProgressBar() - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
  Returns a handle to the progressBar of this LayoutEngine.
getProgressBar() - Method in interface weka.gui.graphvisualizer.LayoutEngine
  This method returns the progress bar for the LayoutEngine, which shows the progress of the layout process, if it takes a while to layout the graph
getProlog() - Method in class weka.core.OptionHandlerJavadoc
  whether "Valid options are..." prolog is included in the Javadoc
getProlog() - Method in class weka.core.TechnicalInformationHandlerJavadoc
  whether "Valid options are..." prolog is included in the Javadoc
getProperties() - Method in class weka.core.converters.DatabaseConnection
  Returns the underlying properties object.
getProperties() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the associated properties file.
getProperties() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns the associated properties file.
getProperty() - Method in class weka.core.pmml.FieldMetaInfo.Value
getProperty() - Method in class weka.core.pmml.jaxbbindings.Value
  Gets the value of the property property.
getPropertyArray() - Method in class weka.experiment.Experiment
  Gets the array of values to set the custom property to.
getPropertyArrayLength() - Method in class weka.experiment.Experiment
  Gets the number of custom iterator values that have been defined for the experiment.
getPropertyArrayValue(int) - Method in class weka.experiment.Experiment
  Gets a specified value from the custom property iterator array.
getPropertyDescriptor(Object, PropertyPath.Path) - Static method in class weka.core.PropertyPath
  returns the property associated with the given path, null if a problem occurred.
getPropertyDescriptor(Object, String) - Static method in class weka.core.PropertyPath
  returns the property associated with the given path
getPropertyDescriptors() - Method in class weka.classifiers.misc.InputMappedClassifierBeanInfo
  Get an array of PropertyDescriptors for the InputMappedClassifier's public properties.
getPropertyDescriptors() - Method in class weka.gui.beans.ClassAssignerBeanInfo
  Returns the property descriptors
getPropertyDescriptors() - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
  Get the property descriptors for this bean
getPropertyDescriptors() - Method in class weka.gui.beans.ClassValuePickerBeanInfo
  Returns the property descriptors
getPropertyDescriptors() - Method in class weka.gui.beans.CrossValidationFoldMakerBeanInfo
  Return the property descriptors for this bean
getPropertyDescriptors() - Method in class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
  Return the property descriptors for this bean
getPropertyDescriptors() - Method in class weka.gui.beans.PredictionAppenderBeanInfo
  Return the property descriptors for this bean
getPropertyDescriptors() - Method in class weka.gui.beans.StripChartBeanInfo
  Get the property descriptors for this bean
getPropertyDescriptors() - Method in class weka.gui.beans.TrainTestSplitMakerBeanInfo
  Get the property descriptors for this bean
getPropertyPath() - Method in class weka.experiment.Experiment
  Gets the path of properties taken to get to the custom property to iterate over.
getPRow() - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Gets the value of the pRow property.
getPruningMethod() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Gets the method used for pruning.
getPValue() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Gets the value of the pValue property.
getPValueAlpha() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the pValueAlpha property.
getPValueFinal() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the pValueFinal property.
getPValueInitial() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the pValueInitial property.
getQ() - Method in class weka.core.matrix.QRDecomposition
  Generate and return the (economy-sized) orthogonal factor
getQuality() - Method in class weka.gui.visualize.JPEGWriter
  returns the quality the JPEG will be stored in.
getQuantile() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Gets the value of the quantile property.
getQuantileLimit() - Method in class weka.core.pmml.jaxbbindings.Quantile
  Gets the value of the quantileLimit property.
getQuantileValue() - Method in class weka.core.pmml.jaxbbindings.Quantile
  Gets the value of the quantileValue property.
getQuery() - Method in class weka.core.converters.DatabaseLoader
  Gets the query to execute against the database
getQuery() - Method in class weka.experiment.InstanceQuery
  Get the query to execute against the database
getQuery() - Method in class weka.gui.sql.event.QueryExecuteEvent
  returns the query that was executed
getQuery() - Method in class weka.gui.sql.event.ResultChangedEvent
  returns the query that was executed
getQuery() - Method in class weka.gui.sql.QueryPanel
  returns the currently displayed query.
getQuery() - Method in class weka.gui.sql.ResultSetTable
  returns the query that produced the table model
getQuery() - Method in class weka.gui.sql.SqlViewer
  returns the query from the currently active tab in the ResultPanel, otherwise an empty string.
getQuery() - Method in class weka.gui.sql.SqlViewerDialog
  returns the chosen query, if any.
getQueryPanel() - Method in class weka.gui.sql.ResultPanel
  returns the currently set QueryPanel, can be NULL
getQuoteDelimiters() - Method in class weka.gui.scripting.SyntaxDocument
  Returns the quote delimiter characters to use.
getQuoteEscape() - Method in class weka.gui.scripting.SyntaxDocument
  Returns the character for escaping a quote delimiter.
getR() - Method in class weka.core.matrix.QRDecomposition
  Return the upper triangular factor
getRadius() - Method in class weka.core.neighboursearch.balltrees.BallNode
  Returns the radius of the node's ball.
getRandom() - Method in class weka.datagenerators.DataGenerator
  Gets the random generator.
getRandomizeData() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Get if dataset is to be randomized.
getRandomizeData() - Method in class weka.experiment.RandomSplitResultProducer
  Get if dataset is to be randomized
getRandomLiftGraph() - Method in class weka.core.pmml.jaxbbindings.LiftData
  Gets the value of the randomLiftGraph property.
getRandomNumberGenerator(long) - Method in class weka.core.Instances
  Returns a random number generator.
getRandomOrder() - Method in class weka.classifiers.bayes.net.search.global.K2
  Get random order flag
getRandomOrder() - Method in class weka.classifiers.bayes.net.search.local.K2
  Get random order flag
getRandomSeed() - Method in class weka.classifiers.functions.SMO
  Get the value of randomSeed.
getRandomSeed() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
  Returns the seed value of random number generator.
getRandomSeed() - Method in class weka.filters.supervised.instance.Resample
  Gets the random number seed.
getRandomSeed() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Gets the random number seed.
getRandomSeed() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Gets the random number seed.
getRandomSeed() - Method in class weka.filters.unsupervised.instance.Randomize
  Get the random number generator seed value.
getRandomSeed() - Method in class weka.filters.unsupervised.instance.Resample
  Gets the random number seed.
getRandomSeed() - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Gets the random number seed.
getRandomWidthFactor() - Method in class weka.classifiers.meta.MultiClassClassifier
  Gets the multiplier when generating random codes.
getRange() - Method in class weka.core.InstanceComparator
  Returns the attribute range to use in the comparison.
getRange(int) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Gets a single Range from the set of available Ranges.
getRanges() - Method in class weka.core.NormalizableDistance
  Method to get the ranges.
getRanges() - Method in class weka.core.Range
  Gets the string representing the selected range of values.
getRanges() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Gets the list of possible Ranges to choose from.
getRank() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the rank property.
getRankBasis() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the rankBasis property.
getRankingQuality() - Method in class weka.core.pmml.jaxbbindings.LiftData
  Gets the value of the rankingQuality property.
getRankOrder() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the rankOrder property.
getRawOutput() - Method in class weka.experiment.CrossValidationResultProducer
  Get if raw split evaluator output is to be saved
getRawOutput() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Get if raw split evaluator output is to be saved.
getRawOutput() - Method in class weka.experiment.RandomSplitResultProducer
  Get if raw split evaluator output is to be saved
getRawResultOutput() - Method in class weka.experiment.ClassifierSplitEvaluator
  Gets the raw output from the classifier
getRawResultOutput() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Gets the raw output from the classifier
getRawResultOutput() - Method in class weka.experiment.RegressionSplitEvaluator
  Gets the raw output from the classifier
getRawResultOutput() - Method in interface weka.experiment.SplitEvaluator
  Returns the raw output for the most recent call to getResult.
getReadable() - Method in class weka.core.Tag
  Gets the string description of the Tag.
getReader(String, String) - Static method in class weka.gui.Loader
  returns a Reader for the given filename and dir, can be NULL if it fails
getReader(String) - Method in class weka.gui.Loader
  returns a Reader for the given filename, can be NULL if it fails
getReadIncrementally() - Method in class weka.gui.SetInstancesPanel
  Gets whether instances are to be read incrementally or not.
getRealEigenvalues() - Method in class weka.core.matrix.EigenvalueDecomposition
  Return the real parts of the eigenvalues
getREALEntries() - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
  Gets the value of the realEntries property.
getREALSparseArray() - Method in class weka.core.pmml.jaxbbindings.VectorInstance
  Gets the value of the realSparseArray property.
getReasonCode() - Method in class weka.core.pmml.jaxbbindings.Attribute
  Gets the value of the reasonCode property.
getReasonCode() - Method in class weka.core.pmml.jaxbbindings.Characteristic
  Gets the value of the reasonCode property.
getReasonCodeAlgorithm() - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Gets the value of the reasonCodeAlgorithm property.
getRecall() - Method in class weka.classifiers.evaluation.TwoClassStats
  Calculate the recall.
getRecordCount() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
  Gets the value of the recordCount property.
getRecordCount() - Method in class weka.core.pmml.jaxbbindings.Node
  Gets the value of the recordCount property.
getRecordCount() - Method in class weka.core.pmml.jaxbbindings.RuleSet
  Gets the value of the recordCount property.
getRecordCount() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
  Gets the value of the recordCount property.
getRecordCount() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the recordCount property.
getRecordCount() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Gets the value of the recordCount property.
getReducedErrorPruning() - Method in class weka.classifiers.rules.PART
  Get the value of reducedErrorPruning.
getReducedErrorPruning() - Method in class weka.classifiers.trees.J48
  Get the value of reducedErrorPruning.
getReduceNumberOfDistanceCalcsViaCanopies() - Method in class weka.clusterers.SimpleKMeans
  Get whether to use canopies to reduce the number of distance computations required
getRefer() - Method in class weka.gui.treevisualizer.Node
  Get the value of refer.
getReferencePoint() - Method in class weka.core.pmml.jaxbbindings.Parameter
  Gets the value of the referencePoint property.
getRefreshFreq() - Method in class weka.gui.beans.StripChart
  Get the refresh frequency
getRegex() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Get whether this is a regular expression match or not
getRegex() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Get whether this is a regular expression match or not
getRegOptimizer() - Method in class weka.classifiers.functions.SMOreg
  returns the learning algorithm
getRegressionModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the regressionModel property.
getRegressionTable() - Method in class weka.core.pmml.jaxbbindings.Regression
  Gets the value of the regressionTable property.
getRegressionTree() - Method in class weka.classifiers.trees.m5.Rule
  Get the value of regressionTree.
getRegressionTree() - Method in class weka.classifiers.trees.m5.RuleNode
  Get the value of regressionTree.
getRelation() - Method in class weka.core.TestInstances
  returns the current name of the relation
getRelationalClassFormat() - Method in class weka.core.TestInstances
  returns the current strcuture of the relational class attribute, can be null
getRelationalFormat(int) - Method in class weka.core.TestInstances
  returns the format for the specified relational attribute, can be null
getRelationFind() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the currently set regular expression to use on the relation name.
getRelationForTableName() - Method in class weka.core.converters.DatabaseSaver
  Gets whether or not the relation name is used as name of the table.
getRelationName() - Method in class weka.datagenerators.DataGenerator
  Gets the relation name the dataset should have.
getRelationNameForFilename() - Method in class weka.gui.beans.Saver
  Get whether the relation name is the primary part of the filename.
getRelationReplace() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the currently set replacement string to use on the relation name.
getRemoteHosts() - Method in class weka.experiment.RemoteExperiment
  Get the list of remote host names
getRemoveAllMissingCols() - Method in class weka.associations.Apriori
  Returns whether columns containing all missing values are to be removed
getRemoveClassColumn() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Get whether the class column is to be removed.
getRemoveFilterClassnames() - Static method in class weka.gui.experiment.ExperimenterDefaults
  whether the filter classnames in the dataset names are removed by default.
getRemoveFilterName() - Method in class weka.experiment.ResultMatrix
  returns whether the filter classname is removed from the dataset name.
getRemoveOldClass() - Method in class weka.filters.supervised.attribute.AddClassification
  Get whether the old class attribute is removed.
getRemoveUnused() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Gets whether unused attributes (ones that are not covered by any of the ranges) are removed from the output.
getRenderingHint(RenderingHints.Key) - Method in class weka.gui.visualize.PostscriptGraphics
getRenderingHints() - Method in class weka.gui.visualize.PostscriptGraphics
getRepetitions() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the number of repetitions to use.
getReplace() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Returns the regular expression to replace matching attribute names with.
getReplace() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Get the replace string
getReplaceAll() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Returns whether all occurrences are replaced or just the first one.
getReplaceMissingValues() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Gets the current setting for using ReplaceMissingValues filter
getRepositoryPackageInfo(String) - Static method in class weka.core.WekaPackageManager
  Get meta data for the latest version of a package from the repository
getRepositoryPackageInfo(String, String) - Static method in class weka.core.WekaPackageManager
  Get meta data for a specific version of a package from the repository
getRepositoryPackageVersions(String) - Static method in class weka.core.WekaPackageManager
  Get the versions of the supplied package available on the server
getRepresentCopiesUsingWeights() - Method in class weka.classifiers.meta.Bagging
  Get whether copies of instances are represented using weights rather than explicitly.
getRescaleConstant() - Method in class weka.core.pmml.jaxbbindings.Target
  Gets the value of the rescaleConstant property.
getRescaleFactor() - Method in class weka.core.pmml.jaxbbindings.Target
  Gets the value of the rescaleFactor property.
getReset() - Method in class weka.classifiers.functions.MultilayerPerceptron
getReset() - Method in class weka.gui.beans.ChartEvent
  get the value of the reset flag
getResetIncrementalClassifier() - Method in class weka.gui.beans.Classifier
  Get whether to reset (by calling buildClassifier()) an incremental classifier, and thus discarding any previously learned model, before processing the first instance in the incoming stream.
getResetValue() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Gets the value of the resetValue property.
getResolvedName() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Get the name of the attribute after substituting any environment variables
getResolvedType() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Get the type of the attribute after substituting any environment variables
getResolvedValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Get the value of the attribute after substituting any environment variables
getResult() - Method in class weka.core.json.Parser
  Returns the JSON data structure.
getResult() - Method in class weka.core.mathematicalexpression.Parser
  Returns the result of the evaluation.
getResult(double[]) - Method in class weka.core.pmml.BuiltInArithmetic
  Get the result of applying this function.
getResult(double[]) - Method in class weka.core.pmml.BuiltInMath
  Get the result of applying this function.
getResult(double[]) - Method in class weka.core.pmml.BuiltInString
  Get the result of applying this function.
getResult(double[]) - Method in class weka.core.pmml.Constant
  Get the result of evaluating the expression.
getResult(double[]) - Method in class weka.core.pmml.DefineFunction
  Get the result of applying this function.
getResult(double[]) - Method in class weka.core.pmml.Discretize
  Get the result of evaluating the expression.
getResult(double[]) - Method in class weka.core.pmml.Expression
  Get the result of evaluating the expression.
getResult(double[]) - Method in class weka.core.pmml.FieldRef
getResult(double[]) - Method in class weka.core.pmml.Function
  Get the result of applying this function.
getResult(double[]) - Method in class weka.core.pmml.NormContinuous
  Get the result of evaluating the expression.
getResult(double[]) - Method in class weka.core.pmml.NormDiscrete
  Get the result of evaluating the expression.
getResult(Instances, Instances) - Method in class weka.experiment.ClassifierSplitEvaluator
  Gets the results for the supplied train and test datasets.
getResult(Instances, Instances) - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
  Gets the results for the supplied train and test datasets.
getResult(Instances, Instances) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Gets the results for the supplied train and test datasets.
getResult(Instances, Instances) - Method in class weka.experiment.RegressionSplitEvaluator
  Gets the results for the supplied train and test datasets.
getResult(Instances, Instances) - Method in interface weka.experiment.SplitEvaluator
  Gets the results for the supplied train and test datasets.
getResult() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Returns the result of the evaluation.
getResult() - Method in class weka.gui.experiment.OutputFormatDialog
  the result from the last display of the dialog, the same is returned from `showDialog`.
getResultCategorical(double[]) - Method in class weka.core.pmml.Constant
  Gets the result of evaluating the expression when the optype is categorical or ordinal as the actual String value.
getResultCategorical(double[]) - Method in class weka.core.pmml.Discretize
  Gets the result of evaluating the expression when the optype is categorical or ordinal as the actual String value.
getResultCategorical(double[]) - Method in class weka.core.pmml.Expression
  Gets the result of evaluating the expression when the optype is categorical or ordinal as the actual String value.
getResultCategorical(double[]) - Method in class weka.core.pmml.FieldRef
getResultCategorical(double[]) - Method in class weka.core.pmml.NormContinuous
  Always throws an Exception since the result of NormContinuous must be continuous.
getResultCategorical(double[]) - Method in class weka.core.pmml.NormDiscrete
  Always throws an Exception since the result of NormDiscrete must be continuous.
getResultContinuous(double[]) - Method in class weka.core.pmml.Expression
  Get the result of evaluating the expression for continuous optype.
getResultField() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the resultField property.
getResultField() - Method in class weka.core.pmml.jaxbbindings.Regression
  Gets the value of the resultField property.
getResultFromTable(String, ResultProducer, Object[]) - Method in class weka.experiment.DatabaseUtils
  Executes a database query to extract a result for the supplied key from the database.
getResultInverse(double[]) - Method in class weka.core.pmml.NormContinuous
  Compute the inverse of the normalization (i.e.
getResultListener() - Method in class weka.experiment.Experiment
  Gets the result listener where results will be sent.
getResultMatrix() - Method in class weka.experiment.PairedTTester
  Gets the instance that produces the output.
getResultMatrix() - Method in interface weka.experiment.Tester
  Gets the instance that produces the output.
getResultMatrix() - Method in class weka.gui.experiment.OutputFormatDialog
  Gets the currently selected output format result matrix.
getResultNames() - Method in class weka.experiment.AveragingResultProducer
  Gets the names of each of the columns produced for a single run.
getResultNames() - Method in class weka.experiment.ClassifierSplitEvaluator
  Gets the names of each of the result columns produced for a single run.
getResultNames() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
  Gets the names of each of the result columns produced for a single run.
getResultNames() - Method in class weka.experiment.CrossValidationResultProducer
  Gets the names of each of the columns produced for a single run.
getResultNames() - Method in class weka.experiment.DatabaseResultProducer
  Gets the names of each of the columns produced for a single run.
getResultNames() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Gets the names of each of the result columns produced for a single run.
getResultNames() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Gets the names of each of the columns produced for a single run.
getResultNames() - Method in class weka.experiment.LearningRateResultProducer
  Gets the names of each of the columns produced for a single run.
getResultNames() - Method in class weka.experiment.RandomSplitResultProducer
  Gets the names of each of the columns produced for a single run.
getResultNames() - Method in class weka.experiment.RegressionSplitEvaluator
  Gets the names of each of the result columns produced for a single run.
getResultNames() - Method in interface weka.experiment.ResultProducer
  Gets the names of each of the result columns produced for a single run.
getResultNames() - Method in interface weka.experiment.SplitEvaluator
  Gets the names of each of the result columns produced for a single run.
getResultProducer() - Method in class weka.experiment.AveragingResultProducer
  Get the ResultProducer.
getResultProducer() - Method in class weka.experiment.DatabaseResultProducer
  Get the ResultProducer.
getResultProducer() - Method in class weka.experiment.Experiment
  Get the result producer used for the current experiment.
getResultProducer() - Method in class weka.experiment.LearningRateResultProducer
  Get the ResultProducer.
getResultSet() - Method in class weka.experiment.DatabaseUtils
  Gets the results generated by a previous query.
getResultSet() - Method in class weka.gui.sql.event.QueryExecuteEvent
  returns the resultset that was produced, can be null in case the query failed
getResultSet() - Method in class weka.gui.sql.ResultSetHelper
  the underlying resultset.
getResultsetKeyColumns() - Method in class weka.experiment.PairedTTester
  Get the value of ResultsetKeyColumns.
getResultsetKeyColumns() - Method in interface weka.experiment.Tester
  Get the value of ResultsetKeyColumns.
getResultsetName(int) - Method in class weka.experiment.PairedTTester
  Gets a string descriptive of the specified resultset.
getResultsetName(int) - Method in interface weka.experiment.Tester
  Gets a string descriptive of the specified resultset.
getResultsTableName(ResultProducer) - Method in class weka.experiment.DatabaseUtils
  Gets the name of the experiment table that stores results from a particular ResultProducer.
getResultTypes() - Method in class weka.experiment.AveragingResultProducer
  Gets the data types of each of the columns produced for a single run.
getResultTypes() - Method in class weka.experiment.ClassifierSplitEvaluator
  Gets the data types of each of the result columns produced for a single run.
getResultTypes() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
  Gets the data types of each of the result columns produced for a single run.
getResultTypes() - Method in class weka.experiment.CrossValidationResultProducer
  Gets the data types of each of the columns produced for a single run.
getResultTypes() - Method in class weka.experiment.DatabaseResultProducer
  Gets the data types of each of the columns produced for a single run.
getResultTypes() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Gets the data types of each of the result columns produced for a single run.
getResultTypes() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Gets the data types of each of the columns produced for a single run.
getResultTypes() - Method in class weka.experiment.LearningRateResultProducer
  Gets the data types of each of the columns produced for a single run.
getResultTypes() - Method in class weka.experiment.RandomSplitResultProducer
  Gets the data types of each of the columns produced for a single run.
getResultTypes() - Method in class weka.experiment.RegressionSplitEvaluator
  Gets the data types of each of the result columns produced for a single run.
getResultTypes() - Method in interface weka.experiment.ResultProducer
  Gets the data types of each of the result columns produced for a single run.
getResultTypes() - Method in interface weka.experiment.SplitEvaluator
  Gets the data types of each of the result columns produced for a single run.
getRetainStringVals() - Method in class weka.core.converters.ArffLoader
  Get whether to retain the values of string attributes in memory (in the header) when reading incrementally.
getRetainStringValues() - Method in class weka.core.converters.ArffLoader.ArffReader
  Get whether to retain the values of string attributes in memory (in the header) when reading incrementally.
getReturnValue() - Method in class weka.gui.DatabaseConnectionDialog
  Returns which of OK or cancel was clicked from dialog
getReturnValue() - Method in class weka.gui.sql.SqlViewerDialog
  returns whether the user clicked OK (JOptionPane.OK_OPTION) or whether he cancelled the dialog (JOptionPane.CANCEL_OPTION).
getRevision() - Method in class weka.associations.AbstractAssociator
  Returns the revision string.
getRevision() - Method in class weka.associations.Apriori
  Returns the revision string.
getRevision() - Method in class weka.associations.AprioriItemSet
  Returns the revision string.
getRevision() - Method in class weka.associations.AssociatorEvaluation
  Returns the revision string.
getRevision() - Method in class weka.associations.CheckAssociator
  Returns the revision string.
getRevision() - Method in class weka.associations.FilteredAssociator
  Returns the revision string.
getRevision() - Method in class weka.associations.FPGrowth
  Returns the revision string.
getRevision() - Method in class weka.associations.ItemSet
  Returns the revision string.
getRevision() - Method in class weka.associations.LabeledItemSet
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.ASEvaluation
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.ASSearch
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.AttributeSelection
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.BestFirst
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.BestFirst.Link2
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.BestFirst.LinkedList2
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.CfsSubsetEval
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.CheckAttributeSelection
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.CorrelationAttributeEval
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.GainRatioAttributeEval
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.GreedyStepwise
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.InfoGainAttributeEval
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.OneRAttributeEval
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.PrincipalComponents
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.Ranker
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  Returns the revision string.
getRevision() - Method in class weka.attributeSelection.WrapperSubsetEval
  Returns the revision string.
getRevision() - Method in class weka.classifiers.AbstractClassifier
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.BayesNet
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.NaiveBayes
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.NaiveBayesUpdateable
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.ADNode
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.BIFReader
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorFullBayes
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.MarginCalculator
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeSeparator
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.ParentSet
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.fixed.NaiveBayes
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.K2
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.global.TAN
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.K2
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.local.TAN
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
  Returns the revision string.
getRevision() - Method in class weka.classifiers.bayes.net.VaryNode
  Returns the revision string.
getRevision() - Method in class weka.classifiers.BVDecompose
  Returns the revision string.
getRevision() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Returns the revision string.
getRevision() - Method in class weka.classifiers.CheckClassifier
  Returns the revision string.
getRevision() - Method in class weka.classifiers.CheckSource
  Returns the revision string.
getRevision() - Method in class weka.classifiers.CostMatrix
  Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.CostCurve
  Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.EvaluationUtils
  Returns the revision string.
getRevision() - Method in class weka.classifiers.Evaluation
getRevision() - Method in class weka.classifiers.evaluation.MarginCurve
  Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.NominalPrediction
  Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.NumericPrediction
  Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.RegressionAnalysis
  Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.ThresholdCurve
  Returns the revision string.
getRevision() - Method in class weka.classifiers.evaluation.TwoClassStats
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.LinearRegression
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.Logistic
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.MultilayerPerceptron
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.neural.LinearUnit
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.neural.NeuralNode
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.neural.SigmoidUnit
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SGD
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SGDText
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SimpleLinearRegression
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SMO.BinarySMO
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SMO
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.SMOreg
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.CheckKernel
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.Kernel
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.Puk
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.RBFKernel
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.RegSMO
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.SMOset
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the revision string.
getRevision() - Method in class weka.classifiers.functions.VotedPerceptron
  Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.IBk
  Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.KStar
  Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
  Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.kstar.KStarCache
  Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
  Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.kstar.KStarNominalAttribute
  Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
  Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.kstar.KStarWrapper
  Returns the revision string.
getRevision() - Method in class weka.classifiers.lazy.LWL
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.AdaBoostM1
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.AdditiveRegression
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.Bagging
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.ClassificationViaRegression
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.CVParameterSelection
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.FilteredClassifier
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.LogitBoost
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.MultiClassClassifier
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.MultiScheme
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.RandomCommittee
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.RandomSubSpace
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.Stacking
  Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.Vote
  Returns the revision string.
getRevision() - Method in class weka.classifiers.misc.InputMappedClassifier
  Returns the revision string.
getRevision() - Method in class weka.classifiers.misc.SerializedClassifier
  Returns the revision string.
getRevision() - Method in class weka.classifiers.pmml.consumer.GeneralRegression
getRevision() - Method in class weka.classifiers.pmml.consumer.NeuralNetwork
getRevision() - Method in class weka.classifiers.pmml.consumer.Regression
getRevision() - Method in class weka.classifiers.pmml.consumer.RuleSetModel
  Get the revision string for this class
getRevision() - Method in class weka.classifiers.pmml.consumer.SupportVectorMachineModel
getRevision() - Method in class weka.classifiers.pmml.consumer.TreeModel
getRevision() - Method in class weka.classifiers.rules.DecisionTable
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.DecisionTableHashKey
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.JRip.Antd
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.JRip
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.JRip.NominalAntd
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.JRip.NumericAntd
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.JRip.RipperRule
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.M5Rules
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.OneR
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.part.C45PruneableDecList
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.part.ClassifierDecList
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.PART
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.part.MakeDecList
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.part.PruneableDecList
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.RuleStats
  Returns the revision string.
getRevision() - Method in class weka.classifiers.rules.ZeroR
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.DecisionStump
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.BinC45ModelSelection
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.BinC45Split
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.C45ModelSelection
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.C45Split
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.ClassifierTree
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.Distribution
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.EntropySplitCrit
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.GainRatioSplitCrit
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.J48
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.NBTreeModelSelection
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.NBTreeSplit
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.NoSplit
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.PruneableClassifierTree
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.j48.Stats
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.LMT
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.lmt.LMTNode
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.lmt.LogisticBase
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.lmt.ResidualSplit
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.Impurity
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.Rule
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.RuleNode
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.Values
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.m5.YongSplitInfo
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.M5P
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.RandomForest
  Returns the revision string.
getRevision() - Method in class weka.classifiers.trees.REPTree
  Returns the revision string.
getRevision() - Method in class weka.classifiers.xml.XMLClassifier
  Returns the revision string.
getRevision() - Method in class weka.clusterers.AbstractClusterer
  Returns the revision string.
getRevision() - Method in class weka.clusterers.CheckClusterer
  Returns the revision string.
getRevision() - Method in class weka.clusterers.ClusterEvaluation
  Returns the revision string.
getRevision() - Method in class weka.clusterers.Cobweb.CNode
  Returns the revision string.
getRevision() - Method in class weka.clusterers.Cobweb
  Returns the revision string.
getRevision() - Method in class weka.clusterers.EM
  Returns the revision string.
getRevision() - Method in class weka.clusterers.FarthestFirst
  Returns the revision string.
getRevision() - Method in class weka.clusterers.FilteredClusterer
  Returns the revision string.
getRevision() - Method in class weka.clusterers.HierarchicalClusterer
  Returns the revision string.
getRevision() - Method in class weka.clusterers.MakeDensityBasedClusterer
  Returns the revision string.
getRevision() - Method in class weka.clusterers.SimpleKMeans
  Returns the revision string.
getRevision() - Method in class weka.core.AbstractInstance
  Returns the revision string.
getRevision() - Method in class weka.core.AlgVector
  Returns the revision string.
getRevision() - Method in class weka.core.AllJavadoc
  Returns the revision string.
getRevision() - Method in class weka.core.Attribute
  Returns the revision string.
getRevision() - Method in class weka.core.AttributeExpression
  Returns the revision string.
getRevision() - Method in class weka.core.AttributeLocator
  Returns the revision string.
getRevision() - Method in class weka.core.AttributeMetaInfo
  Returns the revision string.
getRevision() - Method in class weka.core.AttributeStats
  Returns the revision string.
getRevision() - Method in class weka.core.BinarySparseInstance
  Returns the revision string.
getRevision() - Method in class weka.core.Capabilities
  Returns the revision string.
getRevision() - Method in class weka.core.ChebyshevDistance
  Returns the revision string.
getRevision() - Method in class weka.core.CheckGOE
  Returns the revision string.
getRevision() - Method in class weka.core.CheckOptionHandler
  Returns the revision string.
getRevision() - Method in class weka.core.CheckScheme.PostProcessor
  Returns the revision string.
getRevision() - Method in class weka.core.ClassCache
  Returns the revision string.
getRevision() - Method in class weka.core.ClassDiscovery
  Returns the revision string.
getRevision() - Method in class weka.core.ClassDiscovery.StringCompare
  Returns the revision string.
getRevision() - Method in class weka.core.ClassloaderUtil
  Returns the revision string.
getRevision() - Method in class weka.core.ContingencyTables
  Returns the revision string.
getRevision() - Method in class weka.core.converters.ArffLoader.ArffReader
  Returns the revision string.
getRevision() - Method in class weka.core.converters.ArffLoader
  Returns the revision string.
getRevision() - Method in class weka.core.converters.ArffSaver
  Returns the revision string.
getRevision() - Method in class weka.core.converters.C45Loader
  Returns the revision string.
getRevision() - Method in class weka.core.converters.C45Saver
  Returns the revision string.
getRevision() - Method in class weka.core.converters.ConverterUtils.DataSink
  Returns the revision string.
getRevision() - Method in class weka.core.converters.ConverterUtils.DataSource
  Returns the revision string.
getRevision() - Method in class weka.core.converters.ConverterUtils
  Returns the revision string.
getRevision() - Method in class weka.core.converters.CSVLoader
getRevision() - Method in class weka.core.converters.CSVSaver
  Returns the revision string.
getRevision() - Method in class weka.core.converters.DatabaseConnection
  Returns the revision string.
getRevision() - Method in class weka.core.converters.DatabaseLoader
  Returns the revision string.
getRevision() - Method in class weka.core.converters.DatabaseSaver
  Returns the revision string.
getRevision() - Method in class weka.core.converters.JSONLoader
  Returns the revision string.
getRevision() - Method in class weka.core.converters.JSONSaver
  Returns the revision string.
getRevision() - Method in class weka.core.converters.LibSVMLoader
  Returns the revision string.
getRevision() - Method in class weka.core.converters.LibSVMSaver
  Returns the revision string.
getRevision() - Method in class weka.core.converters.MatlabLoader
  Returns the revision string.
getRevision() - Method in class weka.core.converters.MatlabSaver
  Returns the revision string.
getRevision() - Method in class weka.core.converters.SerializedInstancesLoader
  Returns the revision string.
getRevision() - Method in class weka.core.converters.SerializedInstancesSaver
  Returns the revision string.
getRevision() - Method in class weka.core.converters.StreamTokenizerUtils
getRevision() - Method in class weka.core.converters.SVMLightLoader
  Returns the revision string.
getRevision() - Method in class weka.core.converters.SVMLightSaver
  Returns the revision string.
getRevision() - Method in class weka.core.converters.TextDirectoryLoader
  Returns the revision string.
getRevision() - Method in class weka.core.converters.XRFFLoader
  Returns the revision string.
getRevision() - Method in class weka.core.converters.XRFFSaver
  Returns the revision string.
getRevision() - Method in class weka.core.Debug.Clock
  Returns the revision string.
getRevision() - Method in class weka.core.Debug.DBO
  Returns the revision string.
getRevision() - Method in class weka.core.Debug
  Returns the revision string.
getRevision() - Method in class weka.core.Debug.Log
  Returns the revision string.
getRevision() - Method in class weka.core.Debug.Random
  Returns the revision string.
getRevision() - Method in class weka.core.Debug.SimpleLog
  Returns the revision string.
getRevision() - Method in class weka.core.Debug.Timestamp
  Returns the revision string.
getRevision() - Method in class weka.core.DenseInstance
  Returns the revision string.
getRevision() - Method in class weka.core.Environment
  Returns the revision string.
getRevision() - Method in class weka.core.EuclideanDistance
  Returns the revision string.
getRevision() - Method in class weka.core.FastVector
  Deprecated.
  Returns the revision string.
getRevision() - Method in class weka.core.FindWithCapabilities
  Returns the revision string.
getRevision() - Method in class weka.core.GlobalInfoJavadoc
  Returns the revision string.
getRevision() - Method in class weka.core.InstanceComparator
  Returns the revision string.
getRevision() - Method in class weka.core.Instances
  Returns the revision string.
getRevision() - Method in class weka.core.ListOptions
  Returns the revision string.
getRevision() - Method in class weka.core.logging.ConsoleLogger
  Returns the revision string.
getRevision() - Method in class weka.core.logging.FileLogger
  Returns the revision string.
getRevision() - Method in class weka.core.logging.OutputLogger
  Returns the revision string.
getRevision() - Method in class weka.core.ManhattanDistance
  Returns the revision string.
getRevision() - Method in class weka.core.MathematicalExpression
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.CholeskyDecomposition
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.DoubleVector
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.EigenvalueDecomposition
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.ExponentialFormat
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.FlexibleDecimalFormat
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.FloatingPointFormat
  Returns the revision string.
getRevision() - Method in class weka.core.Matrix
  Deprecated.
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.IntVector
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.LinearRegression
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.LUDecomposition
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.Maths
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.Matrix
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.QRDecomposition
  Returns the revision string.
getRevision() - Method in class weka.core.matrix.SingularValueDecomposition
  Returns the revision string.
getRevision() - Method in class weka.core.Memory
  Returns the revision string.
getRevision() - Method in class weka.core.MinkowskiDistance
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.BallTree
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.BallNode
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.BallSplitter
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.CoverTree.CoverTreeNode
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.CoverTree
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.covertrees.Stack
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Returns the revision string
getRevision() - Method in class weka.core.neighboursearch.KDTree
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.LinearNNSearch
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the revision string.
getRevision() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns the revision string.
getRevision() - Method in class weka.core.Option
  Returns the revision string.
getRevision() - Method in class weka.core.OptionHandlerJavadoc
  Returns the revision string.
getRevision() - Method in class weka.core.PropertyPath
  Returns the revision string.
getRevision() - Method in class weka.core.PropertyPath.Path
  Returns the revision string.
getRevision() - Method in class weka.core.PropertyPath.PathElement
  Returns the revision string.
getRevision() - Method in class weka.core.ProtectedProperties
  Returns the revision string.
getRevision() - Method in class weka.core.Queue
  Returns the revision string.
getRevision() - Method in class weka.core.RandomVariates
  Returns the revision string.
getRevision() - Method in class weka.core.Range
  Returns the revision string.
getRevision() - Method in class weka.core.RelationalLocator
  Returns the revision string.
getRevision() - Method in interface weka.core.RevisionHandler
  Returns the revision string.
getRevision() - Method in class weka.core.scripting.Groovy
  Returns the revision string.
getRevision() - Method in class weka.core.scripting.Jython
  Returns the revision string.
getRevision() - Method in class weka.core.SelectedTag
  Returns the revision string.
getRevision() - Method in class weka.core.SerializationHelper
  Returns the revision string.
getRevision() - Method in class weka.core.SerializedObject
  Returns the revision string.
getRevision() - Method in class weka.core.SingleIndex
  Returns the revision string.
getRevision() - Method in class weka.core.SparseInstance
  Returns the revision string.
getRevision() - Method in class weka.core.SpecialFunctions
  Returns the revision string.
getRevision() - Method in class weka.core.Statistics
  Returns the revision string.
getRevision() - Method in class weka.core.stemmers.IteratedLovinsStemmer
  Returns the revision string.
getRevision() - Method in class weka.core.stemmers.LovinsStemmer
  Returns the revision string.
getRevision() - Method in class weka.core.stemmers.NullStemmer
  Returns the revision string.
getRevision() - Method in class weka.core.stemmers.SnowballStemmer
  Returns the revision string.
getRevision() - Method in class weka.core.stemmers.Stemming
  Returns the revision string.
getRevision() - Method in class weka.core.Stopwords
  Returns the revision string.
getRevision() - Method in class weka.core.StringLocator
  Returns the revision string.
getRevision() - Method in class weka.core.SystemInfo
  Returns the revision string.
getRevision() - Method in class weka.core.Tag
  Returns the revision string.
getRevision() - Method in class weka.core.TechnicalInformation
  Returns the revision string.
getRevision() - Method in class weka.core.TechnicalInformationHandlerJavadoc
  Returns the revision string.
getRevision() - Method in class weka.core.Tee
  Returns the revision string.
getRevision() - Method in class weka.core.TestInstances
  Returns the revision string.
getRevision() - Method in class weka.core.tokenizers.AlphabeticTokenizer
  Returns the revision string.
getRevision() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Returns the revision string.
getRevision() - Method in class weka.core.tokenizers.NGramTokenizer
  Returns the revision string.
getRevision() - Method in class weka.core.tokenizers.WordTokenizer
  Returns the revision string.
getRevision() - Method in class weka.core.Trie
  Returns the revision string.
getRevision() - Method in class weka.core.Trie.TrieIterator
  Returns the revision string.
getRevision() - Method in class weka.core.Trie.TrieNode
  Returns the revision string.
getRevision() - Method in class weka.core.Utils
  Returns the revision string.
getRevision() - Method in class weka.core.Version
  Returns the revision string.
getRevision() - Method in class weka.core.WekaEnumeration
  Returns the revision string.
getRevision() - Method in class weka.core.xml.KOML
  Returns the revision string.
getRevision() - Method in class weka.core.xml.MethodHandler
  Returns the revision string.
getRevision() - Method in class weka.core.xml.PropertyHandler
  Returns the revision string.
getRevision() - Method in class weka.core.xml.SerialUIDChanger
  Returns the revision string.
getRevision() - Method in class weka.core.xml.XMLBasicSerialization
  Returns the revision string.
getRevision() - Method in class weka.core.xml.XMLDocument
  Returns the revision string.
getRevision() - Method in class weka.core.xml.XMLInstances
  Returns the revision string.
getRevision() - Method in class weka.core.xml.XMLOptions
  Returns the revision string.
getRevision() - Method in class weka.core.xml.XMLSerialization
  Returns the revision string.
getRevision() - Method in class weka.core.xml.XMLSerializationMethodHandler
  Returns the revision string.
getRevision() - Method in class weka.core.xml.XStream
  Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.classification.LED24
  Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.regression.Expression
  Returns the revision string.
getRevision() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Returns the revision string.
getRevision() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns the revision string.
getRevision() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Returns the revision string.
getRevision() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Returns the revision string.
getRevision() - Method in class weka.datagenerators.Test
  Returns the revision string.
getRevision() - Method in class weka.estimators.CheckEstimator.AttrTypes
  Returns the revision string.
getRevision() - Method in class weka.estimators.CheckEstimator.EstTypes
  Returns the revision string.
getRevision() - Method in class weka.estimators.CheckEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.CheckEstimator.PostProcessor
  Returns the revision string.
getRevision() - Method in class weka.estimators.DDConditionalEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.DiscreteEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.DKConditionalEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.DNConditionalEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.Estimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.EstimatorUtils
  Returns the revision string.
getRevision() - Method in class weka.estimators.KDConditionalEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.KernelEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.KKConditionalEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.MahalanobisEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.NDConditionalEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.NNConditionalEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.NormalEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.PoissonEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.UnivariateKernelEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.UnivariateMixtureEstimator
  Returns the revision string.
getRevision() - Method in class weka.estimators.UnivariateNormalEstimator
  Returns the revision string.
getRevision() - Method in class weka.experiment.AveragingResultProducer
  Returns the revision string.
getRevision() - Method in class weka.experiment.ClassifierSplitEvaluator
  Returns the revision string.
getRevision() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
  Returns the revision string.
getRevision() - Method in class weka.experiment.CrossValidationResultProducer
  Returns the revision string.
getRevision() - Method in class weka.experiment.CrossValidationSplitResultProducer
  Returns the revision string.
getRevision() - Method in class weka.experiment.CSVResultListener
  Returns the revision string.
getRevision() - Method in class weka.experiment.DatabaseResultListener
  Returns the revision string.
getRevision() - Method in class weka.experiment.DatabaseResultProducer
  Returns the revision string.
getRevision() - Method in class weka.experiment.DatabaseUtils
  Returns the revision string.
getRevision() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Returns the revision string.
getRevision() - Method in class weka.experiment.Experiment
  Returns the revision string.
getRevision() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the revision string.
getRevision() - Method in class weka.experiment.InstanceQuery
  Returns the revision string.
getRevision() - Method in class weka.experiment.InstancesResultListener
  Returns the revision string.
getRevision() - Method in class weka.experiment.LearningRateResultProducer
  Returns the revision string.
getRevision() - Method in class weka.experiment.OutputZipper
  Returns the revision string.
getRevision() - Method in class weka.experiment.PairedCorrectedTTester
  Returns the revision string.
getRevision() - Method in class weka.experiment.PairedStats
  Returns the revision string.
getRevision() - Method in class weka.experiment.PairedStatsCorrected
  Returns the revision string.
getRevision() - Method in class weka.experiment.PairedTTester
  Returns the revision string.
getRevision() - Method in class weka.experiment.PropertyNode
  Returns the revision string.
getRevision() - Method in class weka.experiment.RandomSplitResultProducer
  Returns the revision string.
getRevision() - Method in class weka.experiment.RegressionSplitEvaluator
  Returns the revision string.
getRevision() - Method in class weka.experiment.RemoteEngine
  Returns the revision string.
getRevision() - Method in class weka.experiment.RemoteExperiment
  Returns the revision string.
getRevision() - Method in class weka.experiment.RemoteExperimentSubTask
  Returns the revision string.
getRevision() - Method in class weka.experiment.ResultMatrixCSV
  Returns the revision string.
getRevision() - Method in class weka.experiment.ResultMatrixGnuPlot
  Returns the revision string.
getRevision() - Method in class weka.experiment.ResultMatrixHTML
  Returns the revision string.
getRevision() - Method in class weka.experiment.ResultMatrixLatex
  Returns the revision string.
getRevision() - Method in class weka.experiment.ResultMatrixPlainText
  Returns the revision string.
getRevision() - Method in class weka.experiment.ResultMatrixSignificance
  Returns the revision string.
getRevision() - Method in class weka.experiment.Stats
  Returns the revision string.
getRevision() - Method in class weka.experiment.TaskStatusInfo
  Returns the revision string.
getRevision() - Method in class weka.experiment.xml.XMLExperiment
  Returns the revision string.
getRevision() - Method in class weka.filters.AllFilter
  Returns the revision string.
getRevision() - Method in class weka.filters.CheckSource
  Returns the revision string.
getRevision() - Method in class weka.filters.Filter
  Returns the revision string.
getRevision() - Method in class weka.filters.MultiFilter
  Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.AddClassification
  Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.AttributeSelection
  Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.ClassOrder
  Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.Discretize
  Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.NominalToBinary
  Returns the revision string.
getRevision() - Method in class weka.filters.supervised.attribute.PartitionMembership
getRevision() - Method in class weka.filters.supervised.instance.ClassBalancer
  Returns the revision string.
getRevision() - Method in class weka.filters.supervised.instance.Resample
  Returns the revision string.
getRevision() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Returns the revision string.
getRevision() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Add
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.AddCluster
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.AddExpression
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.AddID
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.AddValues
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Center
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Copy
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Discretize
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.FirstOrder
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.MathExpression
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NominalToString
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Normalize
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Obfuscate
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Remove
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RemoveByName
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Reorder
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.SortLabels
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Standardize
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.StringToNominal
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.SwapValues
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.attribute.Transpose
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.Randomize
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemoveDuplicates
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemoveRange
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.Resample
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
  Returns the revision string.
getRevision() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Returns the revision string.
getRevision() - Method in class weka.gui.beans.FlowRunner
getRevision() - Method in class weka.gui.sql.DbUtils
  Returns the revision string.
getRidge() - Method in class weka.classifiers.functions.LinearRegression
  Get the value of Ridge.
getRidge() - Method in class weka.classifiers.functions.Logistic
  Gets the ridge in the log-likelihood.
getRightMargin() - Method in class weka.core.pmml.jaxbbindings.Interval
  Gets the value of the rightMargin property.
getRMSE() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
  Gets the value of the rmse property.
getROC() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the roc property.
getROCArea(Instances) - Static method in class weka.classifiers.evaluation.ThresholdCurve
  Calculates the area under the ROC curve as the Wilcoxon-Mann-Whitney statistic.
getROCGraph() - Method in class weka.core.pmml.jaxbbindings.ROC
  Gets the value of the rocGraph property.
getROCString() - Method in class weka.gui.visualize.ThresholdVisualizePanel
  This extracts the ROC area string
getRoot() - Method in class weka.core.Trie
  returns the root node of the trie
getRoot() - Method in class weka.gui.treevisualizer.Node
  Get the value of root.
getRootMeanSquaredError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the rootMeanSquaredError property.
getRootNode() - Method in class weka.core.xml.XMLDocument
  returns the current root node.
getRow(int) - Method in class weka.core.Matrix
  Deprecated.
  Gets a row of the matrix and returns it as double array.
getRow() - Method in class weka.core.pmml.jaxbbindings.InlineTable
  Gets the value of the row property.
getRow() - Method in class weka.core.pmml.jaxbbindings.MatCell
  Gets the value of the row property.
getRow() - Static method in class weka.gui.experiment.ExperimenterDefaults
  the comma-separated list of attribute names that identify a row.
getRowCount() - Method in class weka.experiment.ResultMatrix
  returns the number of rows.
getRowCount() - Method in class weka.gui.arffviewer.ArffTableModel
  returns the number of rows in the model
getRowCount() - Method in class weka.gui.beans.InteractiveTableModel
getRowCount() - Method in class weka.gui.SortedTableModel
  Returns the number of rows in the model.
getRowCount() - Method in class weka.gui.sql.ResultSetHelper
  returns the number of rows in the resultset.
getRowCount() - Method in class weka.gui.sql.ResultSetTableModel
  returns the number of rows in the model.
getRowDimension() - Method in class weka.core.matrix.Matrix
  Get row dimension.
getRowHidden(int) - Method in class weka.experiment.ResultMatrix
  returns the hidden status of the row, if the index is valid, otherwise false.
getRowName(int) - Method in class weka.experiment.ResultMatrix
  returns the name of the row, if the index is valid, otherwise null.
getRowNameWidth() - Method in class weka.experiment.ResultMatrix
  returns the current width for the row names.
getRowOrder() - Method in class weka.experiment.ResultMatrix
  returns the current order of the rows, null means the default order.
getRowPackedCopy() - Method in class weka.core.matrix.Matrix
  Make a one-dimensional row packed copy of the internal array.
getRsource() - Method in class weka.gui.treevisualizer.Edge
  Get the value of rsource.
getRSquared() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the rSquared property.
getRtarget() - Method in class weka.gui.treevisualizer.Edge
  Get the value of rtarget.
getRule() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
  Gets the value of the rule property.
getRule() - Method in class weka.core.pmml.jaxbbindings.RuleSet
  Gets the value of the rule property.
getRuleFeature() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the ruleFeature property.
getRuleMetricNames() - Method in class weka.associations.Apriori
  Gets a list of the names of the metrics output for each rule.
getRuleMetricNames() - Method in interface weka.associations.AssociationRulesProducer
  Gets a list of the names of the metrics output for each rule.
getRuleMetricNames() - Method in class weka.associations.FilteredAssociator
  Gets a list of the names of the metrics output for each rule.
getRuleMetricNames() - Method in class weka.associations.FPGrowth
  Gets a list of the names of the metrics output for each rule.
getRules() - Method in class weka.associations.AssociationRules
  Get the rules.
getRules() - Method in class weka.associations.FilteredAssociationRules
  Get the rules.
getRules() - Method in class weka.gui.beans.BatchAssociationRulesEvent
  Get the encapsulated association rules.
getRuleSelectionMethod() - Method in class weka.core.pmml.jaxbbindings.RuleSet
  Gets the value of the ruleSelectionMethod property.
getRuleset() - Method in class weka.classifiers.rules.JRip
  Get the ruleset generated by Ripper
getRuleset() - Method in class weka.classifiers.rules.RuleStats
  Get the ruleset of the stats
getRuleSetModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the ruleSetModel property.
getRulesetSize() - Method in class weka.classifiers.rules.RuleStats
  Get the size of the ruleset in the stats
getRulesMustContain() - Method in class weka.associations.FPGrowth
  Get the comma separated list of items that rules must contain in order to be output.
getRuleStats(int) - Method in class weka.classifiers.rules.JRip
  Get the statistics of the ruleset in the given position
getRunColumn() - Method in class weka.experiment.PairedTTester
  Get the value of RunColumn.
getRunColumn() - Method in interface weka.experiment.Tester
  Get the value of RunColumn.
getRunLower() - Method in class weka.experiment.Experiment
  Get the lower run number for the experiment.
getRunNumber() - Method in class weka.gui.beans.BatchClassifierEvent
  Get the run number.
getRunNumber() - Method in class weka.gui.beans.TestSetEvent
  Get the run number that this training set belongs to.
getRunNumber() - Method in class weka.gui.beans.TrainingSetEvent
  Get the run number that this training set belongs to.
getRuns() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
getRuns() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
  Returns the number of runs
getRuns() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
getRuns() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
getRuns() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
getRuns() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
getRuns() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
getRuns() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
getRunUpper() - Method in class weka.experiment.Experiment
  Get the upper run number for the experiment.
getS() - Method in class weka.core.matrix.SingularValueDecomposition
  Return the diagonal matrix of singular values
getSample() - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
  Gets the value of the sample property.
getSampleSize() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Get the number of instances used for estimating attributes
getSampleSize() - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Gets the subsample size.
getSampleSizePercent() - Method in class weka.filters.supervised.instance.Resample
  Gets the subsample size as a percentage of the original set.
getSampleSizePercent() - Method in class weka.filters.unsupervised.instance.Resample
  Gets the subsample size as a percentage of the original set.
getSaveDialogTitle() - Method in class weka.gui.visualize.PrintableComponent
  returns the title for the save dialog.
getSaveDialogTitle() - Method in interface weka.gui.visualize.PrintableHandler
  returns the title for the save dialog
getSaveDialogTitle() - Method in class weka.gui.visualize.PrintablePanel
  returns the title for the save dialog
getSaveForVisualization() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Returns whether the instances are saved for visualization for only evaluation of the prediction is to happen.
getSaveInstanceData() - Method in class weka.classifiers.trees.J48
  Check whether instance data is to be saved.
getSaveInstanceData() - Method in class weka.clusterers.Cobweb
  Get the value of saveInstances.
getSaveInstances() - Method in class weka.classifiers.trees.M5P
  Get whether instance data is being save.
getSaver() - Method in class weka.gui.ConverterFileChooser
  returns the saver that was chosen by the user, can be null in case the user aborted the dialog or the open dialog was shown.
getSaverForExtension(String) - Static method in class weka.core.converters.ConverterUtils
  tries to determine the saver to use for this kind of extension, returns null if none can be found.
getSaverForFile(String) - Static method in class weka.core.converters.ConverterUtils
  tries to determine the saver to use for this kind of file, returns null if none can be found.
getSaverForFile(File) - Static method in class weka.core.converters.ConverterUtils
  tries to determine the saver to use for this kind of file, returns null if none can be found.
getSaverTemplate() - Method in class weka.gui.beans.Saver
  Get the saver
getScale() - Method in class weka.filters.unsupervised.attribute.Normalize
  Get the scaling factor.
getScaleWidthToFit() - Method in class weka.gui.DocumentPrinting
  Returns whether the width is to be scaled.
getScalingEnabled() - Method in class weka.gui.visualize.JComponentWriter
  whether scaling is enabled or ignored
getScore() - Method in class weka.core.pmml.jaxbbindings.Node
  Gets the value of the score property.
getScore() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the score property.
getScorecard() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the scorecard property.
getScoreDistribution() - Method in class weka.core.pmml.jaxbbindings.RuleSet
  Gets the value of the scoreDistribution property.
getScoreDistribution() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the scoreDistribution property.
getScoreType() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  get quality measure to be used in searching for networks.
getScript() - Method in class weka.gui.scripting.event.ScriptExecutionEvent
  Returns the script that triggered the event.
getScrollableTracksViewportHeight() - Method in class weka.gui.ETable
  Changes the behavior of a table in a JScrollPane to be more like the behavior of JList, which expands to fill the available space.
getSearch() - Method in class weka.attributeSelection.CheckAttributeSelection
  Get the current search method
getSearch() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Gets the search method used
getSearch() - Method in class weka.classifiers.rules.DecisionTable
  Gets the current search method
getSearch() - Method in class weka.filters.supervised.attribute.AttributeSelection
  Get the name of the search method
getSearchAlgorithm() - Method in class weka.classifiers.bayes.BayesNet
  Get the SearchAlgorithm used as the search algorithm
getSearchBackwards() - Method in class weka.attributeSelection.GreedyStepwise
  Get whether to search backwards
getSearchMethod() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Gets the search method used.
getSearchString() - Method in class weka.gui.arffviewer.ArffTable
  returns the search string, can be NULL if no search string is set
getSearchTermination() - Method in class weka.attributeSelection.BestFirst
  Get the termination criterion (number of non-improving nodes).
getSeasonalityExpoSmooth() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
  Gets the value of the seasonalityExpoSmooth property.
getSecondValueIndex() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Get the index of the second value used.
getSecondValueIndex() - Method in class weka.filters.unsupervised.attribute.SwapValues
  Get the index of the second value used.
getSeed() - Method in class weka.attributeSelection.OneRAttributeEval
  Get the random number seed
getSeed() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Get the seed used for randomly sampling instances.
getSeed() - Method in class weka.attributeSelection.WrapperSubsetEval
  Get the random number seed used for cross validation
getSeed() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
getSeed() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
  Returns the random seed
getSeed() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
getSeed() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
getSeed() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
getSeed() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
getSeed() - Method in class weka.classifiers.BVDecompose
  Gets the random number seed
getSeed() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Gets the random number seed
getSeed() - Method in class weka.classifiers.evaluation.EvaluationUtils
  Gets the seed for randomization during cross-validation
getSeed() - Method in class weka.classifiers.functions.MultilayerPerceptron
getSeed() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  Gets the current seed value for the random number generator
getSeed() - Method in class weka.classifiers.functions.VotedPerceptron
  Get the value of Seed.
getSeed() - Method in class weka.classifiers.meta.MultiScheme
  Gets the random number seed.
getSeed() - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
  Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.RandomizableClassifier
  Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
  Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
  Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
  Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
  Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
  Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.rules.JRip
  Gets the current seed value to use in randomizing the data
getSeed() - Method in class weka.classifiers.rules.PART
  Get the value of Seed.
getSeed() - Method in class weka.classifiers.trees.J48
  Get the value of Seed.
getSeed() - Method in class weka.classifiers.trees.RandomForest
  Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.trees.RandomTree
  Gets the seed for the random number generations
getSeed() - Method in class weka.classifiers.trees.REPTree
  Get the value of Seed.
getSeed() - Method in class weka.clusterers.RandomizableClusterer
  Gets the seed for the random number generations
getSeed() - Method in class weka.clusterers.RandomizableDensityBasedClusterer
  Gets the seed for the random number generations
getSeed() - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
  Gets the seed for the random number generations
getSeed() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Returns the seed for random number generator.
getSeed() - Method in interface weka.core.Randomizable
  Gets the seed for the random number generations
getSeed() - Method in class weka.core.TestInstances
  returns the current seed value
getSeed() - Method in class weka.datagenerators.DataGenerator
  Gets the random number seed.
getSeed() - Method in class weka.estimators.UnivariateMixtureEstimator
  Gets the seed for the random number generations
getSeed() - Method in class weka.filters.supervised.attribute.ClassOrder
  Get the current randomization seed
getSeed() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Gets the random number seed used for shuffling the dataset.
getSeed() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Gets the random seed of the random number generator
getSeed() - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Get the seed value for the random number generator.
getSeed() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Gets the random number seed used for shuffling the dataset.
getSeed() - Method in class weka.gui.beans.CrossValidationFoldMaker
  Get the currently set seed
getSeed() - Method in class weka.gui.beans.TrainTestSplitMaker
  Get the value of the random seed
getSegment() - Method in class weka.core.pmml.jaxbbindings.Segmentation
  Gets the value of the segment property.
getSegmentId() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the segmentId property.
getSelectedAttributes() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
getSelectedAttributes() - Method in class weka.gui.AttributeSelectionPanel
  Gets an array containing the indices of all selected attributes.
getSelectedBeans() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getSelectedBeans(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getSelectedBuffer() - Method in class weka.gui.ResultHistoryPanel
  Gets the buffer associated with the currently selected item in the list.
getSelectedEvalMetrics() - Method in class weka.gui.EvaluationMetricSelectionDialog
  Get the list of selected evaluation metrics
getSelectedName() - Method in class weka.gui.ResultHistoryPanel
  Get the name of the currently selected item in the list
getSelectedObject() - Method in class weka.gui.ResultHistoryPanel
  Gets the object associated with the currently selected item in the list.
getSelectedRange() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Get the value of m_SelectedRange.
getSelectedTag() - Method in class weka.core.SelectedTag
  Gets the selected Tag.
getSelection() - Method in class weka.core.Range
  Gets an array containing all the selected values, in the order that they were selected (or ascending order if range inversion is on).
getSelectionModel() - Method in class weka.gui.AttributeListPanel
  Gets the selection model used by the table.
getSelectionModel() - Method in class weka.gui.AttributeSelectionPanel
  Gets the selection model used by the table.
getSelectionModel() - Method in class weka.gui.ResultHistoryPanel
  Gets the selection model used by the results list.
getSeperator() - Method in class weka.gui.HierarchyPropertyParser
  Get the seperator between levels.
getSeqId() - Method in class weka.core.pmml.jaxbbindings.SequenceReference
  Gets the value of the seqId property.
getSequenceModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the sequenceModel property.
getSequenceReference() - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
  Gets the value of the sequenceReference property.
getSequenceReference() - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
  Gets the value of the sequenceReference property.
getSerializedClassifierFile() - Method in class weka.filters.supervised.attribute.AddClassification
  Gets the file pointing to a serialized, trained classifier.
getSerializedClustererFile() - Method in class weka.filters.unsupervised.attribute.AddCluster
  Gets the file pointing to a serialized, built clusterer.
getSetId() - Method in class weka.core.pmml.jaxbbindings.SetReference
  Gets the value of the setId property.
getSetNumber() - Method in class weka.gui.beans.BatchClassifierEvent
  Get the set number (ie which fold this is)
getSetNumber() - Method in class weka.gui.beans.BatchClustererEvent
  Get the set number (ie which fold this is)
getSetNumber() - Method in class weka.gui.beans.TestSetEvent
  Get the test set number (eg.
getSetNumber() - Method in class weka.gui.beans.TrainingSetEvent
  Get the set number (eg.
getSetReference() - Method in class weka.core.pmml.jaxbbindings.Sequence
  Gets the value of the setReference property.
getShape() - Method in class weka.gui.treevisualizer.Node
  Get the value of shape.
getShapeSize() - Method in class weka.gui.visualize.PlotData2D
  Get the shape sizes for the plot data
getShapeType() - Method in class weka.gui.visualize.PlotData2D
  Get the shape types for the plot data
getShowAttBars() - Method in class weka.gui.visualize.VisualizePanel
  Gets whether or not attribute bars are being displayed.
getShowAttributeIndex() - Method in class weka.gui.arffviewer.ArffPanel
  Returns whether to display the attribute index in the header.
getShowAttributeIndex() - Method in class weka.gui.arffviewer.ArffSortedTableModel
  Returns whether to display the attribute index in the header.
getShowAttributeIndex() - Method in class weka.gui.arffviewer.ArffTableModel
  Returns whether to display the attribute index in the header.
getShowAverage() - Method in class weka.experiment.ResultMatrix
  returns whether average per column is displayed or not.
getShowAverage() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns whether the Average is shown by default.
getShowClassPanel() - Method in class weka.gui.visualize.VisualizePanel
  Gets whether or not the class panel is being displayed.
getShowStdDev() - Method in class weka.experiment.ResultMatrix
  returns whether std deviations are displayed or not.
getShowStdDevs() - Method in class weka.experiment.PairedTTester
  Returns true if standard deviations have been requested.
getShowStdDevs() - Method in interface weka.experiment.Tester
  Returns true if standard deviations have been requested.
getShowStdDevs() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns whether StdDevs are shown by default.
getShowZeroInstancesAsUnknown() - Method in class weka.gui.InstancesSummaryPanel
  Get whether to show zero instances as unknown (i.e.
getShrinkage() - Method in class weka.classifiers.meta.AdditiveRegression
  Get the shrinkage rate.
getShrinkage() - Method in class weka.classifiers.meta.LogitBoost
  Get the value of Shrinkage.
getSigma() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Get the value of sigma.
getSigma() - Method in class weka.classifiers.BVDecompose
  Get the calculated sigma squared
getSigma() - Method in class weka.classifiers.functions.supportVector.Puk
  Gets the sigma value.
getSignificance(int, int) - Method in class weka.experiment.ResultMatrix
  returns the significance at the given position, if the position is valid, otherwise SIGNIFICANCE_ATIE.
getSignificance() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the default significance.
getSignificanceCount(int, int) - Method in class weka.experiment.ResultMatrix
  counts the occurrences of the given significance type in the given column.
getSignificanceLevel() - Method in class weka.associations.Apriori
  Get the value of significanceLevel.
getSignificanceLevel() - Method in class weka.experiment.PairedTTester
  Get the value of SignificanceLevel.
getSignificanceLevel() - Method in interface weka.experiment.Tester
  Get the value of SignificanceLevel.
getSignificanceLevel() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Gets the significance level.
getSignificanceWidth() - Method in class weka.experiment.ResultMatrix
  returns the current width for the significance.
getSilent() - Method in class weka.core.Check
  Get whether silent mode is turned on
getSilent() - Method in class weka.core.Javadoc
  whether output in the console is suppressed
getSilent() - Method in class weka.estimators.CheckEstimator
  Get whether silent mode is turned on
getSimilarityScale() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Gets the value of the similarityScale property.
getSimilarityType() - Method in class weka.core.pmml.jaxbbindings.TextModelSimiliarity
  Gets the value of the similarityType property.
getSimpleMatching() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the simpleMatching property.
getSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.Attribute
  Gets the value of the simplePredicate property.
getSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
  Gets the value of the simplePredicate property.
getSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the simplePredicate property.
getSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the simplePredicate property.
getSimplePredicateOrCompoundPredicateOrSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.CompoundPredicate
  Gets the value of the simplePredicateOrCompoundPredicateOrSimpleSetPredicate property.
getSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.Attribute
  Gets the value of the simpleSetPredicate property.
getSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
  Gets the value of the simpleSetPredicate property.
getSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the simpleSetPredicate property.
getSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the simpleSetPredicate property.
getSimpleStats(int) - Method in class weka.classifiers.rules.RuleStats
  Get the simple stats of one rule, including 6 parameters: 0: coverage; 1:uncoverage; 2: true positive; 3: true negatives; 4: false positives; 5: false negatives
getSIndex() - Method in class weka.gui.visualize.VisualizePanel
  Get the index of the shape selected for creating splits.
getSingleIndex() - Method in class weka.core.SingleIndex
  Gets the string representing the selected range of values.
getSingleLineCommentStart() - Method in class weka.gui.scripting.SyntaxDocument
  Retrusn the single line comment start string.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.LED24
  Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Gets the single mode flag.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.regression.Expression
  Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleModeFlag() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleModeFlag() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Gets the single mode flag.
getSingleModeFlag() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Gets the single mode flag.
getSingleModeFlag() - Method in class weka.datagenerators.DataGenerator
  Return if single mode is set for the given data generator mode depends on option setting and or generator type.
getSingleton() - Static method in class weka.core.logging.Logger
  Returns the singleton instance of the logger.
getSingleton() - Static method in class weka.gui.beans.KnowledgeFlowApp
  Return the singleton instance of the KnowledgeFlow
getSingleton() - Static method in class weka.gui.GUIChooser
  Get the singleton instance of the GUIChooser
getSingleton() - Static method in class weka.gui.Main
  Return the singleton instance of the Main GUI.
getSingularValues() - Method in class weka.core.matrix.SingularValueDecomposition
  Return the one-dimensional array of singular values
getSize() - Method in class weka.core.Debug.Log
  returns the size of the files
getSize() - Method in class weka.core.pmml.jaxbbindings.Cluster
  Gets the value of the size property.
getSize() - Method in class weka.core.pmml.jaxbbindings.Partition
  Gets the value of the size property.
getSize() - Method in class weka.gui.beans.EnvironmentField.WideComboBox
getSkipIdentical() - Method in class weka.core.neighboursearch.LinearNNSearch
  Gets whether if identical instances are skipped from the neighbourhood.
getSlope() - Method in class weka.classifiers.functions.SimpleLinearRegression
  Returns the slope of the function.
getSlope() - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
  Returns the slope of the function.
getSmoothedValue() - Method in class weka.core.pmml.jaxbbindings.Level
  Gets the value of the smoothedValue property.
getSmoothedValue() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
  Gets the value of the smoothedValue property.
getSmoothing() - Method in class weka.classifiers.trees.m5.Rule
  Get whether or not smoothing has been turned on
getSort() - Method in class weka.filters.unsupervised.attribute.AddValues
  Gets whether the labels are sorted or not.
getSortColumn() - Method in class weka.experiment.PairedTTester
  Returns the column to sort on, -1 means the default sorting.
getSortColumn() - Method in interface weka.experiment.Tester
  Returns the column to sort on, -1 means the default sorting.
getSortColumnName() - Method in class weka.experiment.PairedTTester
  Returns the name of the column to sort on.
getSortColumnName() - Method in interface weka.experiment.Tester
  Returns the name of the column to sort on.
getSortDetails() - Method in class weka.gui.beans.Sorter
  Get the sort rules to use
getSorting() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the default sorting (empty string means none).
getSortType() - Method in class weka.filters.unsupervised.attribute.SortLabels
  Gets the sort type to be used.
getSource() - Method in class weka.gui.beans.BeanConnection
  returns the source BeanInstance for this connection
getSource() - Method in class weka.gui.treevisualizer.Edge
  Get the value of source.
getSourceCode() - Method in class weka.classifiers.CheckSource
  Gets the class to test.
getSourceCode() - Method in class weka.filters.CheckSource
  Gets the class to test.
getSparseData() - Method in class weka.core.converters.DatabaseLoader
  Gets whether data is to be returned as a set of sparse instances
getSparseData() - Method in class weka.experiment.InstanceQuery
  Gets whether data is to be returned as a set of sparse instances
getSparseData() - Method in interface weka.experiment.InstanceQueryAdapter
  Gets whether data is to be returned as a set of sparse instances
getSplitByDataSet() - Method in class weka.experiment.RemoteExperiment
  Returns true if sub experiments are to be created on the basis of data set..
getSplitCharacteristic() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the splitCharacteristic property.
getSplitCharacteristic() - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Gets the value of the splitCharacteristic property.
getSplitConfidence() - Method in class weka.classifiers.trees.HoeffdingTree
  Get the allowable error in a split decision.
getSplitCriterion() - Method in class weka.classifiers.trees.HoeffdingTree
  Get the split criterion to use (either Gini or info gain).
getSplitDim() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
  Gets the splitting dimension.
getSplitEvaluator() - Method in class weka.experiment.CrossValidationResultProducer
  Get the SplitEvaluator.
getSplitEvaluator() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Get the SplitEvaluator.
getSplitEvaluator() - Method in class weka.experiment.RandomSplitResultProducer
  Get the SplitEvaluator.
getSplitOnResiduals() - Method in class weka.classifiers.trees.LMT
  Get the value of splitOnResiduals.
getSplitPoint() - Method in class weka.associations.NumericItem
  Gets the numeric test.
getSplitPoint() - Method in class weka.classifiers.rules.JRip.NumericAntd
  Get split point of this numeric antecedent
getSplitPoint() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Get the split point used for numeric selection
getSplitValue() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
  Gets the splitting value.
getSpreadInitialCount() - Method in class weka.classifiers.trees.REPTree
  Get the value of SpreadInitialCount.
getSqlWhere() - Method in class weka.core.pmml.jaxbbindings.Aggregate
  Gets the value of the sqlWhere property.
getSquaredError() - Method in class weka.clusterers.SimpleKMeans
  Gets the squared error for all clusters.
getSquaredEuclidean() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the squaredEuclidean property.
getSSB() - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
  Gets the value of the ssb property.
getSSE() - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
  Gets the value of the sse property.
getStamp() - Method in class weka.core.Debug.Timestamp
  returns the associated date/time
getStandardDeviation(Instance) - Method in class weka.classifiers.functions.GaussianProcesses
  Gives standard deviation of the prediction at the given instance.
getStandardDeviation() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Gets the value of the standardDeviation property.
getStandardDeviation() - Method in class weka.core.pmml.jaxbbindings.Time
  Gets the value of the standardDeviation property.
getStandardError() - Method in class weka.core.pmml.jaxbbindings.TimeValue
  Gets the value of the standardError property.
getStart() - Method in class weka.core.Debug.Clock
  returns the start time
getStartMessage() - Method in class weka.gui.beans.Loader
  Gets a string that describes the start action.
getStartMessage() - Method in class weka.gui.beans.MetaBean
getStartMessage() - Method in interface weka.gui.beans.Startable
  Gets a string that describes the start action.
getStartPoints(Integer...) - Static method in class weka.gui.beans.BeanInstance
  Returns a list of start points (if any) in the indexed flow
getStartSequentially() - Method in class weka.gui.beans.FlowRunner
  Gets whether Startable beans will be launched sequentially or all in parallel.
getStartSet() - Method in class weka.attributeSelection.BestFirst
  Returns a list of attributes (and or attribute ranges) as a String
getStartSet() - Method in class weka.attributeSelection.GreedyStepwise
  Returns a list of attributes (and or attribute ranges) as a String
getStartSet() - Method in class weka.attributeSelection.Ranker
  Returns a list of attributes (and or attribute ranges) as a String
getStartSet() - Method in interface weka.attributeSelection.StartSetHandler
  Returns a list of attributes (and or attribute ranges) as a String
getStartTime() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
  Gets the value of the startTime property.
getStartTimeVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the startTimeVariable property.
getStaticIcon() - Method in class weka.gui.beans.BeanVisual
  Returns the static icon
getStatistic(String) - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
  Get the value of the named statistic
getStatistic(String, int) - Method in interface weka.classifiers.evaluation.InformationRetrievalEvaluationMetric
  Get the value of the named statistic for the given class index.
getStatisticNames() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
  Get a list of the names of the statistics that this metrics computes.
getStats() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns a string representation of the statistics.
getStats() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns a string representation of the statistics.
getStatus() - Method in class weka.gui.beans.IncrementalClassifierEvent
  Get the status
getStatus() - Method in class weka.gui.beans.InstanceEvent
  Get the status
getStatusFrequency() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Get how often progress is reported to the status bar.
getStatusMessage() - Method in class weka.experiment.TaskStatusInfo
  Get the status message.
getStatusTable() - Method in class weka.gui.beans.LogPanel
  The JTable used for the status messages (in case clients want to attach listeners etc.)
getStatusVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the statusVariable property.
getStdDev() - Method in class weka.estimators.KernelEstimator
  Return the standard deviation of this kernel estimator.
getStdDev() - Method in class weka.estimators.NormalEstimator
  Return the value of the standard deviation of this normal estimator.
getStdDev(int, int) - Method in class weka.experiment.ResultMatrix
  returns the std deviation at the given position, if the position is valid, otherwise 0.
getStdDevCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the standard deviation of coords per point.
getStdDevIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns the standard deviation of internal nodes visited.
getStdDevLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns the standard deviation of leaves visited.
getStdDevPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the standard deviation of points visited.
getStdDevPrec() - Method in class weka.experiment.ResultMatrix
  returns the current standard deviation precision.
getStdDevPrecision() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the default precision for the stddevs.
getStddevValue() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
getStdDevWidth() - Method in class weka.experiment.ResultMatrix
  returns the current width for the std dev.
getStdError() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the stdError property.
getStemmer() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the current stemming algorithm, null if none is used.
getStemmer() - Method in class weka.classifiers.functions.SGDText
  Returns the current stemming algorithm, null if none is used.
getStemmer() - Method in class weka.core.stemmers.SnowballStemmer
  returns the name of the current stemmer, null if none is set.
getStemmer() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the current stemming algorithm, null if none is used.
getStepSize() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Get the value of StepSize.
getStepsize() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
  Gets the value of the stepsize property.
getStepSize() - Method in class weka.experiment.LearningRateResultProducer
  Get the value of StepSize.
getStop() - Method in class weka.core.Debug.Clock
  returns the stop time or, if still running, the current time
getStopwords() - Method in class weka.core.stopwords.AbstractFileBasedStopwords
  returns the file used for obtaining the stopwords, if the file represents a directory then the default ones are used.
getStopwords() - Method in class weka.core.stopwords.MultiStopwords
  Returns the stopwords algorithms.
getStopwordsHandler() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Gets the stopwords handler.
getStopwordsHandler() - Method in class weka.classifiers.functions.SGDText
  Gets the stopwords handler.
getStopwordsHandler() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Gets the stopwords handler.
getString() - Method in class weka.core.Trie.TrieNode
  returns the full string up to the root
getStringAttributes() - Method in class weka.core.converters.CSVLoader
  Returns the current attribute range to be forced to type string.
getStringSelection() - Method in class weka.gui.arffviewer.ArffTable
  returns the selected content in a StringSelection that can be copied to the clipboard and used in Excel, if nothing is selected the whole table is copied to the clipboard
getStroke() - Method in class weka.gui.visualize.PostscriptGraphics
getStructure() - Method in class weka.core.converters.AbstractLoader
getStructure() - Method in class weka.core.converters.ArffLoader.ArffReader
  Returns the header format
getStructure() - Method in class weka.core.converters.ArffLoader
  Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.C45Loader
  Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.ConverterUtils.DataSource
  returns the structure of the data.
getStructure(int) - Method in class weka.core.converters.ConverterUtils.DataSource
  returns the structure of the data, with the defined class index.
getStructure() - Method in class weka.core.converters.CSVLoader
getStructure() - Method in class weka.core.converters.DatabaseLoader
  Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.JSONLoader
  Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.LibSVMLoader
  Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in interface weka.core.converters.Loader
  Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.MatlabLoader
  Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.SerializedInstancesLoader
  Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.SVMLightLoader
  Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.TextDirectoryLoader
  Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure() - Method in class weka.core.converters.XRFFLoader
  Determines and returns (if possible) the structure (internally the header) of the data set as an empty set of instances.
getStructure(String) - Method in class weka.gui.beans.Associator
  Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.ClassAssigner
  Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.ClassValuePicker
getStructure(String) - Method in class weka.gui.beans.CrossValidationFoldMaker
  Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.FlowByExpression
  Get the structure of the output encapsulated in the named event.
getStructure() - Method in class weka.gui.beans.IncrementalClassifierEvent
  Get the instances structure (may be null if this is not a NEW_BATCH event)
getStructure() - Method in class weka.gui.beans.InstanceEvent
  Get the instances structure (may be null if this is not a FORMAT_AVAILABLE event)
getStructure(String) - Method in class weka.gui.beans.Join
  Get the output instances structure given an input event type
getStructure(String) - Method in class weka.gui.beans.Loader
  Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.Sorter
  Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in interface weka.gui.beans.StructureProducer
  Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.TestSetMaker
  Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.TrainingSetMaker
  Get the structure of the output encapsulated in the named event.
getStructure(String) - Method in class weka.gui.beans.TrainTestSplitMaker
  Get the structure of the output encapsulated in the named event.
getSubFlow() - Method in class weka.gui.beans.MetaBean
getSubjectIDVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the subjectIDVariable property.
getSubmenuTitle() - Method in interface weka.gui.MainMenuExtension
  Returns the name of the submenu.
getSubsequenceLength() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the length of the subsequence
getSubSpaceSize() - Method in class weka.classifiers.meta.RandomSubSpace
  Gets the size of each subSpace, as a percentage of the training set size.
getSubtreeRaising() - Method in class weka.classifiers.trees.J48
  Get the value of subtreeRaising.
getSuccess() - Method in class weka.core.CheckGOE
  returns the success of the tests
getSuccess() - Method in class weka.core.CheckOptionHandler
  returns the success of the tests
getSuitableTargets(EventSetDescriptor) - Method in class weka.gui.beans.MetaBean
  Return a list of input beans capable of receiving the supplied event
getSummary() - Method in class weka.gui.SetInstancesPanel
  Gets the instances summary panel associated with this panel.
getSumOfCounts() - Method in class weka.estimators.DiscreteEstimator
  Get the sum of all the counts
getSumOfSquares() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Gets the value of the sumOfSquares property.
getSumOfWeights() - Method in class weka.estimators.NormalEstimator
  Return the sum of the weights for this normal estimator.
getSumSquaredError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the sumSquaredError property.
getSumSquaredRegression() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the sumSquaredRegression property.
getSupport() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Gets the value of the support property.
getSupport() - Method in class weka.core.pmml.jaxbbindings.Itemset
  Gets the value of the support property.
getSupport() - Method in class weka.core.pmml.jaxbbindings.Sequence
  Gets the value of the support property.
getSupport() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Gets the value of the support property.
getSupportedCursorScrollType() - Method in class weka.experiment.DatabaseUtils
  Returns the type of scrolling that the cursor supports, -1 if not supported or not connected.
getSupportVector() - Method in class weka.core.pmml.jaxbbindings.SupportVectors
  Gets the value of the supportVector property.
getSupportVectorMachineModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the supportVectorMachineModel property.
getSupportVectors() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
  Gets the value of the supportVectors property.
getSuppressMappingReport() - Method in class weka.classifiers.misc.InputMappedClassifier
  Get whether to suppress output the report of model to input mappings.
getSuppressOutput() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns whether to the regular output is suppressed in case the output is stored in a file.
getSvmRepresentation() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Gets the value of the svmRepresentation property.
getSymbols() - Method in class weka.core.mathematicalexpression.Parser
  Returns the current variable - value relation in use.
getSymbols() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Returns the current variable - value relation in use.
getSystemInfo() - Method in class weka.core.SystemInfo
  returns a copy of the system info.
getSystemLookAndFeel() - Static method in class weka.gui.LookAndFeel
  returns the system LnF classname
getSystemWide() - Static method in class weka.core.Environment
  Get the singleton system-wide (visible to every class in the running VM) set of environment variables.
getT1() - Method in class weka.clusterers.Canopy
  Get the T1 distance.
getT2() - Method in class weka.clusterers.Canopy
  Get the T2 distance to use.
getTabbedPane() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns the tabbedpane instance
getTabbedPane() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getTabbedPane() - Method in class weka.gui.explorer.Explorer
  returns the tabbed pane of the Explorer
getTable() - Method in class weka.gui.arffviewer.ArffPanel
  returns the table component
getTable() - Method in class weka.gui.beans.InteractiveTablePanel
  Get the JTable component
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class weka.gui.arffviewer.ArffTableCellRenderer
  Returns the default table cell renderer.
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class weka.gui.sql.ResultSetTableCellRenderer
  Returns the default table cell renderer.
getTableLocator() - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Gets the value of the tableLocator property.
getTableLocator() - Method in class weka.core.pmml.jaxbbindings.MapValues
  Gets the value of the tableLocator property.
getTableLocator() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Gets the value of the tableLocator property.
getTableModel() - Method in class weka.gui.AttributeSelectionPanel
  Get the table model in use (or null if no instances have been set yet).
getTableName() - Method in class weka.core.converters.DatabaseSaver
  Gets the table's name.
getTabs() - Static method in class weka.gui.explorer.ExplorerDefaults
  returns an array with the classnames of all the additional panels to display as tabs in the Explorer.
getTabTitle(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getTabTitle() - Method in class weka.gui.explorer.AssociationsPanel
  Returns the title for the tab in the Explorer
getTabTitle() - Method in class weka.gui.explorer.AttributeSelectionPanel
  Returns the title for the tab in the Explorer
getTabTitle() - Method in class weka.gui.explorer.ClassifierPanel
  Returns the title for the tab in the Explorer.
getTabTitle() - Method in class weka.gui.explorer.ClustererPanel
  Returns the title for the tab in the Explorer
getTabTitle() - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
  Returns the title for the tab in the Explorer
getTabTitle() - Method in class weka.gui.explorer.PreprocessPanel
  Returns the title for the tab in the Explorer
getTabTitle() - Method in class weka.gui.explorer.VisualizePanel
  Returns the title for the tab in the Explorer
getTabTitleToolTip() - Method in class weka.gui.explorer.AssociationsPanel
  Returns the tooltip for the tab in the Explorer
getTabTitleToolTip() - Method in class weka.gui.explorer.AttributeSelectionPanel
  Returns the tooltip for the tab in the Explorer
getTabTitleToolTip() - Method in class weka.gui.explorer.ClassifierPanel
  Returns the tooltip for the tab in the Explorer.
getTabTitleToolTip() - Method in class weka.gui.explorer.ClustererPanel
  Returns the tooltip for the tab in the Explorer
getTabTitleToolTip() - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
  Returns the tooltip for the tab in the Explorer
getTabTitleToolTip() - Method in class weka.gui.explorer.PreprocessPanel
  Returns the tooltip for the tab in the Explorer
getTabTitleToolTip() - Method in class weka.gui.explorer.VisualizePanel
  Returns the tooltip for the tab in the Explorer
getTabuList() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
getTabuList() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
getTags() - Method in class weka.core.SelectedTag
  Gets the set of all valid Tags.
getTags() - Method in class weka.gui.beans.EnvironmentField
getTags() - Method in class weka.gui.CostMatrixEditor
  Some objects can return tags, but a cost matrix cannot.
getTags() - Method in class weka.gui.GenericArrayEditor
  Returns null as we don't support getting values as tags.
getTags() - Method in class weka.gui.GenericObjectEditor
  Returns null as we don't support getting values as tags.
getTags() - Method in class weka.gui.SelectedTagEditor
  Gets the list of tags that can be selected from.
getTags() - Method in class weka.gui.SimpleDateFormatEditor
  Some objects can return tags, but a date format cannot.
getTanimoto() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Gets the value of the tanimoto property.
getTarget() - Method in class weka.core.pmml.jaxbbindings.Anova
  Gets the value of the target property.
getTarget() - Method in class weka.core.pmml.jaxbbindings.Targets
  Gets the value of the target property.
getTarget() - Method in class weka.gui.beans.BeanConnection
  Returns the target BeanInstance for this connection
getTarget() - Method in class weka.gui.treevisualizer.Edge
  Get the value of target.
getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.MultivariateStats
  Gets the value of the targetCategory property.
getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.PCell
  Gets the value of the targetCategory property.
getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Gets the value of the targetCategory property.
getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.PPCell
  Gets the value of the targetCategory property.
getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
  Gets the value of the targetCategory property.
getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
  Gets the value of the targetCategory property.
getTargetField() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the targetField property.
getTargetField() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Gets the value of the targetField property.
getTargetFieldDisplayValue() - Method in class weka.core.pmml.jaxbbindings.LiftData
  Gets the value of the targetFieldDisplayValue property.
getTargetFieldName() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Gets the value of the targetFieldName property.
getTargetFieldValue() - Method in class weka.core.pmml.jaxbbindings.LiftData
  Gets the value of the targetFieldValue property.
getTargetMetaData() - Method in class weka.core.pmml.MiningSchema
  Get the Target meta data.
getTargetReferenceCategory() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the targetReferenceCategory property.
getTargets() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Gets the value of the targets property.
getTargets() - Method in class weka.core.pmml.jaxbbindings.Regression
  Gets the value of the targets property.
getTargetValue() - Method in class weka.core.pmml.jaxbbindings.Target
  Gets the value of the targetValue property.
getTargetValueCount() - Method in class weka.core.pmml.jaxbbindings.TargetValueCounts
  Gets the value of the targetValueCount property.
getTargetValueCounts() - Method in class weka.core.pmml.jaxbbindings.BayesOutput
  Gets the value of the targetValueCounts property.
getTargetValueCounts() - Method in class weka.core.pmml.jaxbbindings.PairCounts
  Gets the value of the targetValueCounts property.
getTargetVariableName() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the targetVariableName property.
getTaskResult() - Method in class weka.experiment.TaskStatusInfo
  Get the returnable result of this task.
getTaskStatus() - Method in class weka.experiment.RemoteExperimentSubTask
getTaskStatus() - Method in interface weka.experiment.Task
  Clients should be able to call this method at any time to obtain information on a current task.
getTaskStatus() - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Return status information for this sub task
getTaxonomy() - Method in class weka.core.pmml.jaxbbindings.DataDictionary
  Gets the value of the taxonomy property.
getTaxonomy() - Method in class weka.core.pmml.jaxbbindings.DataField
  Gets the value of the taxonomy property.
getTaxonomy() - Method in class weka.core.pmml.jaxbbindings.TextDictionary
  Gets the value of the taxonomy property.
getTCol() - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Gets the value of the tCol property.
getTechnicalInformation() - Method in class weka.associations.Apriori
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.associations.FPGrowth
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.attributeSelection.CfsSubsetEval
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.attributeSelection.WrapperSubsetEval
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.NaiveBayes
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.NaiveBayesUpdateable
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.ADNode
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.BIFReader
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.global.K2
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.global.TAN
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.local.K2
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.local.TAN
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.BVDecompose
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.GaussianProcesses
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.Logistic
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.SMO
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.SMOreg
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.supportVector.Puk
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.supportVector.RegSMO
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.functions.VotedPerceptron
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.lazy.IBk
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.lazy.KStar
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.lazy.LWL
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.AdaBoostM1
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.AdditiveRegression
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.Bagging
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.ClassificationViaRegression
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.CVParameterSelection
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.LogitBoost
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.RandomSubSpace
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.Stacking
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.meta.Vote
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.rules.DecisionTable
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.rules.JRip
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.rules.M5Rules
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.rules.OneR
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.rules.PART
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.trees.J48
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.trees.LMT
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.trees.m5.M5Base
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.classifiers.trees.RandomForest
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.clusterers.Canopy
getTechnicalInformation() - Method in class weka.clusterers.Cobweb
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.clusterers.FarthestFirst
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.clusterers.SimpleKMeans
getTechnicalInformation() - Method in class weka.core.ChebyshevDistance
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.ConjugateGradientOptimization
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.EuclideanDistance
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.ManhattanDistance
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.MinkowskiDistance
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.BallTree
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.CoverTree
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.KDTree
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.Optimization
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.core.stemmers.LovinsStemmer
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in interface weka.core.TechnicalInformationHandler
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.datagenerators.classifiers.classification.LED24
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.experiment.PairedCorrectedTTester
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.supervised.attribute.Discretize
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.supervised.attribute.NominalToBinary
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTechnicalInformation() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTempDir() - Static method in class weka.core.Debug
  returns the system temp directory
getTempDirectory() - Method in class weka.gui.beans.Sorter
  Get the directory to use for temporary files during incremental operation
getTester() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the display name of the preferred Tester algorithm.
getTestEvaluator() - Method in class weka.attributeSelection.CheckAttributeSelection
  Gets whether the evaluator is being tested or the search method.
getTestOrTrain() - Method in class weka.gui.beans.BatchClustererEvent
  Get whether the set of instances is a test or a training set
getTestPredictions(Classifier, Instances) - Method in class weka.classifiers.evaluation.EvaluationUtils
  Generate a bunch of predictions ready for processing, by performing a evaluation on a test set assuming the classifier is already trained.
getTestSet() - Method in class weka.gui.beans.BatchClassifierEvent
  Get the test set
getTestSet() - Method in class weka.gui.beans.BatchClustererEvent
  Get the training/test set
getTestSet() - Method in class weka.gui.beans.TestSetEvent
  Get the test set instances
getTestsetDir() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the currently set directory for the test sets.
getTestsetPrefix() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the currently set prefix.
getTestsetSuffix() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the currently set suffix.
getTestStatistic() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Gets the value of the testStatistic property.
getText() - Method in class weka.gui.beans.BeanVisual
  Get the visual's label
getText() - Method in class weka.gui.beans.EnvironmentField
  Return the text from the combo box.
getText() - Method in class weka.gui.beans.TextEvent
  Describe `getText` method here.
getTextDocument() - Method in class weka.core.pmml.jaxbbindings.TextCorpus
  Gets the value of the textDocument property.
getTextModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the textModel property.
getTextTitle() - Method in class weka.gui.beans.TextEvent
  Describe `getTextTitle` method here.
getTFTransform() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Gets whether if the word frequencies should be transformed into log(1+fij) where fij is the frequency of word i in document(instance) j.
getThreshold() - Method in class weka.attributeSelection.GreedyStepwise
  Returns the threshold so that the AttributeSelection module can discard attributes from the ranking.
getThreshold() - Method in interface weka.attributeSelection.RankedOutputSearch
  Gets the threshold by which attributes can be discarded.
getThreshold() - Method in class weka.attributeSelection.Ranker
  Returns the threshold so that the AttributeSelection module can discard attributes from the ranking.
getThreshold() - Method in class weka.attributeSelection.WrapperSubsetEval
  Get the value of the threshold
getThreshold() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
  Gets the value of the threshold property.
getThreshold() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Gets the value of the threshold property.
getThreshold() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Gets the value of the threshold property.
getThreshold() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Gets the value of the threshold property.
getThreshold() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
  Gets the value of the threshold property.
getThreshold() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Gets the value of the threshold property.
getThreshold() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Gets the threshold for the max error when predicting a numeric class.
getThresholdInstance(Instances, double) - Static method in class weka.classifiers.evaluation.ThresholdCurve
  Gets the index of the instance with the closest threshold value to the desired target
getThresholds() - Method in interface weka.classifiers.evaluation.ThresholdProducingMetric
  Returns the threshold values, one for each class value, associated with the value of the measure that is returned.
getTime() - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
  Gets the value of the time property.
getTime() - Method in class weka.core.pmml.jaxbbindings.BaselineCell
  Gets the value of the time property.
getTime() - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
  Gets the value of the time property.
getTime() - Method in class weka.core.pmml.jaxbbindings.Sequence
  Gets the value of the time property.
getTime() - Method in class weka.core.pmml.jaxbbindings.TimeValue
  Gets the value of the time property.
getTimeAnchor() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
  Gets the value of the timeAnchor property.
getTimeCycle() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
  Gets the value of the timeCycle property.
getTimeException() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
  Gets the value of the timeException property.
getTimeSeriesModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the timeSeriesModel property.
getTimestamp() - Method in class weka.core.pmml.jaxbbindings.Header
  Gets the value of the timestamp property.
getTimestamp() - Method in class weka.core.pmml.jaxbbindings.TimeValue
  Gets the value of the timestamp property.
getTimestamp() - Static method in class weka.experiment.CrossValidationResultProducer
  Gets a Double representing the current date and time.
getTimestamp() - Static method in class weka.experiment.ExplicitTestsetResultProducer
  Gets a Double representing the current date and time.
getTimestamp() - Static method in class weka.experiment.RandomSplitResultProducer
  Gets a Double representing the current date and time.
getTimeValue() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
  Gets the value of the timeValue property.
getTimeValue() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
  Gets the value of the timeValue property.
getTitle() - Method in class weka.gui.arffviewer.ArffPanel
  returns the title for the Tab, i.e.
getTitle() - Method in class weka.gui.scripting.FileScriptingPanel
  Returns the current title for the frame/dialog.
getTitle() - Method in class weka.gui.scripting.ScriptingPanel
  Returns the current title for the frame/dialog.
getTitle() - Method in class weka.gui.SimpleCLIPanel
  Returns the current title for the frame/dialog.
getToken(StreamTokenizer) - Static method in class weka.core.converters.ConverterUtils
  Gets token.
getToken(StreamTokenizer) - Static method in class weka.core.converters.StreamTokenizerUtils
  Gets token.
getTokenizer() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the current tokenizer algorithm.
getTokenizer() - Method in class weka.classifiers.functions.SGDText
  Returns the current tokenizer algorithm.
getTokenizer() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the current tokenizer algorithm.
getTolerance() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  returns the current tolerance
getToleranceParameter() - Method in class weka.classifiers.functions.SMO
  Get the value of tolerance parameter.
getToolTipLocation(MouseEvent) - Method in class weka.gui.ETable
  Places tool tips over the cell they correspond to.
getToolTipText() - Method in class weka.experiment.PairedCorrectedTTester
  returns a string that is displayed as tooltip on the "perform test" button in the experimenter
getToolTipText() - Method in class weka.experiment.PairedTTester
  returns a string that is displayed as tooltip on the "perform test" button in the experimenter
getToolTipText() - Method in interface weka.experiment.Tester
  returns a string that is displayed as tooltip on the "perform test" button in the experimenter
getToolTipText(MouseEvent) - Method in class weka.gui.AttributeVisualizationPanel
  Returns "<nominal value> [<nominal value count>]" if displaying a bar plot and mouse is on some bar.
getToolTipText() - Method in class weka.gui.GenericObjectEditor.GOETreeNode
  Get the tool tip for this node
getToolTipText(PrintableComponent) - Static method in class weka.gui.visualize.PrintableComponent
  Returns a tooltip only if the user wants it.
getTop() - Method in class weka.gui.treevisualizer.Node
  Get the value of top.
getTotalCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the total sum of coords per point.
getTotalCount(Node, int) - Static method in class weka.gui.treevisualizer.Node
  Recursively finds the total number of nodes there are.
getTotalFreq() - Method in class weka.core.pmml.jaxbbindings.Counts
  Gets the value of the totalFreq property.
getTotalGCount(Node, int) - Static method in class weka.gui.treevisualizer.Node
  Recursively finds the total number of groups of siblings there are.
getTotalHeight(Node, int) - Static method in class weka.gui.treevisualizer.Node
  Recursively finds the total number of levels there are.
getTotalIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns the total number of internal nodes visited.
getTotalLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Returns the total number of leaves visited.
getTotalPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
  Returns the total number of points visited.
getTotalSquaresSum() - Method in class weka.core.pmml.jaxbbindings.ContStats
  Gets the value of the totalSquaresSum property.
getTotalSupport() - Method in class weka.associations.AssociationRule
  Get the total support for this rule (premise + consequence).
getTotalSupport() - Method in class weka.associations.DefaultAssociationRule
getTotalTransactions() - Method in class weka.associations.AssociationRule
  Get the total number of transactions in the data.
getTotalTransactions() - Method in class weka.associations.DefaultAssociationRule
getTotalValuesSum() - Method in class weka.core.pmml.jaxbbindings.ContStats
  Gets the value of the totalValuesSum property.
getToYear() - Static method in class weka.core.Copyright
  returns the end year of the copyright (i.e., current year)
getTrainingSet() - Method in class weka.gui.beans.TrainingSetEvent
  Get the training instances
getTrainingTime() - Method in class weka.classifiers.functions.MultilayerPerceptron
getTrainIterations() - Method in class weka.classifiers.BVDecompose
  Gets the maximum number of boost iterations
getTrainPercent() - Method in class weka.experiment.RandomSplitResultProducer
  Get the value of TrainPercent.
getTrainPercent() - Method in class weka.gui.beans.TrainTestSplitMaker
  Get the percentage of the data that will be in the training portion of the split
getTrainPercentage() - Static method in class weka.gui.experiment.ExperimenterDefaults
  returns the training percentage in case of splits.
getTrainPoolSize() - Method in class weka.classifiers.BVDecompose
  Get the number of instances in the training pool.
getTrainSet() - Method in class weka.gui.beans.BatchClassifierEvent
  Get the train set
getTrainSize() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Get the training size
getTrainTestPredictions(Classifier, Instances, Instances) - Method in class weka.classifiers.evaluation.EvaluationUtils
  Generate a bunch of predictions ready for processing, by performing a evaluation on a test set after training on the given training set.
getTransactionsMustContain() - Method in class weka.associations.FPGrowth
  Gets the comma separated list of items that transactions must contain in order to be considered for large item sets and rules.
getTransform() - Method in class weka.gui.visualize.PostscriptGraphics
getTransformAllValues() - Method in class weka.filters.supervised.attribute.NominalToBinary
  Gets if all nominal values are turned into new attributes, not only if there are more than 2.
getTransformAllValues() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Gets if all nominal values are turned into new attributes, not only if there are more than 2.
getTransformation() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
  Gets the value of the transformation property.
getTransformationDictionary() - Method in class weka.core.pmml.jaxbbindings.PMML
  Gets the value of the transformationDictionary property.
getTransformationDictionary() - Method in class weka.core.pmml.MiningSchema
  Get the transformation dictionary .
getTransformBackToOriginal() - Method in class weka.attributeSelection.PrincipalComponents
  Gets whether the data is to be transformed back to the original space.
getTranslation() - Method in class weka.filters.unsupervised.attribute.Normalize
  Get the translation.
getTreatMissingValuesAsZero() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Get whether missing values are to be treated in the same way as zeros
getTreatZeroAsMissing() - Method in class weka.associations.Apriori
  Gets whether zeros (i.e.
getTreeModel() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the treeModel property.
getTreeRoot() - Method in class weka.clusterers.Cobweb
  Get the root of the tree.
getTrend() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
  Gets the value of the trend property.
getTrendExpoSmooth() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
  Gets the value of the trendExpoSmooth property.
getTrialsValue() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the trialsValue property.
getTrialsVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the trialsVariable property.
getTrim() - Method in class weka.classifiers.misc.InputMappedClassifier
  Get whether to trim white space from each end of names before matching.
getTRow() - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Gets the value of the tRow property.
getTrue() - Method in class weka.core.pmml.jaxbbindings.Attribute
  Gets the value of the true property.
getTrue() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
  Gets the value of the true property.
getTrue() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the true property.
getTrue() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the true property.
getTrueNegative() - Method in class weka.classifiers.evaluation.TwoClassStats
  Gets the number of negative instances predicted as negative
getTruePositive() - Method in class weka.classifiers.evaluation.TwoClassStats
  Gets the number of positive instances predicted as positive
getTruePositiveRate() - Method in class weka.classifiers.evaluation.TwoClassStats
  Calculate the true positive rate.
getTrueStepName() - Method in class weka.gui.beans.FlowByExpression
  Get the name of the connected step to send "true" instances to
getTruncate() - Method in class weka.core.converters.DatabaseSaver
  Get whether to truncate (i.e.
getTStart() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
getTStart() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
getTValue() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the tValue property.
getTwoClassStats(int) - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Gets the performance with respect to one of the classes as a TwoClassStats object.
getType() - Method in class weka.classifiers.functions.neural.NeuralConnection
getType() - Method in class weka.core.AttributeLocator
  returns the type of attribute that is located
getType() - Method in class weka.core.pmml.Array
  Get the type of this array.
getType() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Gets the value of the type property.
getType() - Method in class weka.core.pmml.jaxbbindings.ArrayType
  Gets the value of the type property.
getType() - Method in class weka.core.pmml.jaxbbindings.PCovMatrix
  Gets the value of the type property.
getType() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
  Gets the value of the type property.
getType() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
  Gets the value of the type property.
getType() - Method in class weka.core.pmml.jaxbbindings.TimeCycle
  Gets the value of the type property.
getType() - Method in class weka.core.pmml.jaxbbindings.TimeException
  Gets the value of the type property.
getType(RevisionHandler) - Static method in class weka.core.RevisionUtils
  Determines the type of a (sanitized) revision string returned by the RevisionHandler.
getType(String) - Static method in class weka.core.RevisionUtils
  Determines the type of a (sanitized) revision string.
getType() - Method in class weka.core.TechnicalInformation
  returns the type of this technical information
getType() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Get the type of the new attribute
getType(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  returns the TYPE of the attribute at the given position
getType(int, int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  returns the TYPE of the attribute at the given position
getType(int) - Method in class weka.gui.arffviewer.ArffTableModel
  returns the TYPE of the attribute at the given position
getType(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
  returns the TYPE of the attribute at the given position
getType() - Method in class weka.gui.scripting.event.ScriptExecutionEvent
  Returns the type of event.
getType() - Method in class weka.gui.sql.event.ConnectionEvent
  returns the type of this event, CONNECT or DISCONNECT
getU() - Method in class weka.core.Matrix
  Deprecated.
  Returns the U part of the matrix.
getU() - Method in class weka.core.matrix.LUDecomposition
  Return upper triangular factor
getU() - Method in class weka.core.matrix.SingularValueDecomposition
  Return the left singular vectors
getUID(String) - Static method in class weka.core.SerializationHelper
  reads or creates the serialVersionUID for the given class.
getUID(Class<?>) - Static method in class weka.core.SerializationHelper
  reads or creates the serialVersionUID for the given class.
getUnderlyingPackageManager() - Static method in class weka.core.WekaPackageManager
  Get the underlying package manager implementation
getUndoBuffer() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getUndoBuffer(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
getUniformDistribution() - Method in class weka.core.pmml.jaxbbindings.Alternate
  Gets the value of the uniformDistribution property.
getUniformDistribution() - Method in class weka.core.pmml.jaxbbindings.Baseline
  Gets the value of the uniformDistribution property.
getUnit() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
  Gets the value of the unit property.
getUnivariateStats() - Method in class weka.core.pmml.jaxbbindings.ModelStats
  Gets the value of the univariateStats property.
getUnpruned() - Method in class weka.classifiers.rules.PART
  Get the value of unpruned.
getUnpruned() - Method in class weka.classifiers.trees.J48
  Get the value of unpruned.
getUnpruned() - Method in class weka.classifiers.trees.m5.M5Base
  Get whether unpruned tree/rules are being generated
getUnpruned() - Method in class weka.classifiers.trees.m5.Rule
  Get whether unpruned tree/rules are being generated
getUnsortedEigenVectors() - Method in class weka.attributeSelection.PrincipalComponents
  Return the unsorted eigenvectors
getUpdateCount() - Method in class weka.core.converters.DatabaseConnection
  Dewtermines if the current query retrieves a result set or updates a table
getUpdateIncrementalClassifier() - Method in class weka.gui.beans.Classifier
  Get whether an incremental classifier will be updated on the incoming instance stream.
getUpdateWeightsOnly() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Gets whether only weights should be udpated.*
getUpper() - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
  Gets the value of the upper property.
getUpper() - Method in class weka.gui.experiment.RunNumberPanel
  Gets the current upper run number.
getUpperBoundMinSupport() - Method in class weka.associations.Apriori
  Get the value of upperBoundMinSupport.
getUpperBoundMinSupport() - Method in class weka.associations.FPGrowth
  Get the value of upperBoundMinSupport.
getUpperCase() - Method in class weka.core.converters.DatabaseConnection
  Check if the property checkUpperCaseNames in the DatabaseUtils file is set to true or false.
getUpperNumericBound() - Method in class weka.core.Attribute
  Returns the upper bound of a numeric attribute.
getUpperSize() - Method in class weka.experiment.LearningRateResultProducer
  Get the value of UpperSize.
getUrl() - Method in interface weka.core.converters.DatabaseConverter
getUrl() - Method in class weka.core.converters.DatabaseLoader
  Gets the URL
getUrl() - Method in class weka.core.converters.DatabaseSaver
  Gets the database URL.
getURL() - Static method in class weka.core.Copyright
  returns the URL of the owner
getURL() - Method in class weka.gui.DatabaseConnectionDialog
  Returns URL from dialog
getURL(String, String) - Static method in class weka.gui.Loader
  returns a URL for the given filename, can be NULL if it fails
getURL(String) - Method in class weka.gui.Loader
  returns a URL for the given filename, can be NULL if it fails
getURL() - Method in class weka.gui.sql.ConnectionPanel
  returns the current URL.
getURL() - Method in class weka.gui.sql.event.ResultChangedEvent
  returns the database URL that produced the table model
getURL() - Method in class weka.gui.sql.ResultSetTable
  returns the database URL that produced the table model
getURL() - Method in class weka.gui.sql.SqlViewer
  returns the database URL from the currently active tab in the ResultPanel, otherwise an empty string.
getURL() - Method in class weka.gui.sql.SqlViewerDialog
  returns the chosen URL, if any.
getURLFileLoaders() - Static method in class weka.core.converters.ConverterUtils
  returns a vector with the classnames of all the URL file loaders.
getURLLoaderForExtension(String) - Static method in class weka.core.converters.ConverterUtils
  tries to determine the URL loader to use for this kind of extension, returns null if none can be found.
getURLLoaderForFile(String) - Static method in class weka.core.converters.ConverterUtils
  tries to determine the URL loader to use for this kind of file, returns null if none can be found.
getURLLoaderForFile(File) - Static method in class weka.core.converters.ConverterUtils
  tries to determine the URL loader to use for this kind of file, returns null if none can be found.
getUsage() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
  Gets the value of the usage property.
getUsageType() - Method in class weka.core.pmml.jaxbbindings.MiningField
  Gets the value of the usageType property.
getUsageType() - Method in class weka.core.pmml.MiningFieldMetaInfo
  Get the usage type of this field.
getUseADTree() - Method in class weka.classifiers.bayes.BayesNet
  Method declaration
getUseAIC() - Method in class weka.classifiers.functions.SimpleLogistic
  Get the value of useAIC.
getUseAIC() - Method in class weka.classifiers.trees.LMT
  Get the value of useAIC.
getUseAIC() - Method in class weka.classifiers.trees.lmt.LogisticBase
  Get the value of useAIC.
getUseArcReversal() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
  get use the arc reversal operation
getUseArcReversal() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
  get use the arc reversal operation
getUseAverage() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Get the value of UseAverage.
getUseBetterEncoding() - Method in class weka.filters.supervised.attribute.Discretize
  Gets whether better encoding is to be used for MDL.
getUseBinNumbers() - Method in class weka.filters.supervised.attribute.Discretize
  Gets whether bin numbers rather than ranges should be used for discretized attributes.
getUseBinNumbers() - Method in class weka.filters.unsupervised.attribute.Discretize
  Gets whether bin numbers rather than ranges should be used for discretized attributes.
getUseBlanks() - Method in class weka.gui.scripting.SyntaxDocument
  Returns whether blanks are used instead of tabs.
getUseClassification() - Static method in class weka.gui.experiment.ExperimenterDefaults
  whether classification or regression is used.
getUseConjugateGradientDescent() - Method in class weka.classifiers.functions.Logistic
  Gets whether to use conjugate gradient descent rather than BFGS updates.
getUseCpuTime() - Method in class weka.core.Debug.Clock
  returns whether the use of CPU is time is enabled/disabled (regardless whether the system supports it or not)
getUseCrossOver() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
getUseCrossOver() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
getUseCrossValidation() - Method in class weka.classifiers.functions.SimpleLogistic
  Get the value of useCrossValidation.
getUseCustomDimensions() - Method in class weka.gui.visualize.JComponentWriter
  whether custom dimensions are to used for the size of the image
getUsedAttributes() - Method in class weka.classifiers.trees.lmt.LogisticBase
  Returns an array of the indices of the attributes used in the logistic model.
getUseDouble() - Method in class weka.core.converters.MatlabSaver
  Returns whether double or single precision is used.
getUseEqualFrequency() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Get the value of UseEqualFrequency.
getUseEqualFrequency() - Method in class weka.filters.unsupervised.attribute.Discretize
  Get the value of UseEqualFrequency.
getUseEqualFrequency() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Get the value of UseEqualFrequency.
getUseGUI() - Method in class weka.core.Memory
  whether to display a dialog in case of a problem (= TRUE) or just print on stderr (= FALSE)
getUseIBk() - Method in class weka.classifiers.rules.DecisionTable
  Gets whether IBk is being used instead of the majority class
getUseKernelEstimator() - Method in class weka.classifiers.bayes.NaiveBayes
  Gets if kernel estimator is being used.
getUseKononenko() - Method in class weka.filters.supervised.attribute.Discretize
  Gets whether Kononenko's MDL criterion is to be used.
getUseLaplace() - Method in class weka.classifiers.trees.J48
  Get the value of useLaplace.
getUseLeastValues() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Gets whether to use values with least or most instances
getUseLowerOrder() - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Gets whether lower-order terms are used.
getUseMDLcorrection() - Method in class weka.classifiers.rules.PART
  Get the value of useMDLcorrection.
getUseMDLcorrection() - Method in class weka.classifiers.trees.J48
  Get the value of useMDLcorrection.
getUseMissing() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Gets the flag if missing values are treated as extra values.
getUseMutation() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
getUseMutation() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
getUseNormalization() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns whether normalization is used.
getUseNormalizedEntropy() - Method in class weka.estimators.UnivariateMixtureEstimator
getUseORForMustContainList() - Method in class weka.associations.FPGrowth
  Gets whether OR is to be used rather than AND when considering must contain lists.
getUsePairwiseCoupling() - Method in class weka.classifiers.meta.MultiClassClassifier
  Gets whether to use pairwise coupling with 1-vs-1 classification to improve probability estimates.
getUseProb() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
getUsePropertyIterator() - Method in class weka.experiment.Experiment
  Gets whether the custom property iterator should be used.
getUsePruning() - Method in class weka.classifiers.rules.JRip
  Gets whether pruning is performed
getUser() - Method in interface weka.core.converters.DatabaseConverter
getUser() - Method in class weka.core.converters.DatabaseLoader
  Gets the user name
getUser() - Method in class weka.core.converters.DatabaseSaver
  Gets the database user.
getUser() - Method in class weka.gui.sql.ConnectionPanel
  returns the current User.
getUser() - Method in class weka.gui.sql.event.ResultChangedEvent
  returns the user that produced the table model
getUser() - Method in class weka.gui.sql.ResultSetTable
  returns the user that produced the table model
getUser() - Method in class weka.gui.sql.SqlViewer
  returns the user from the currently active tab in the ResultPanel, otherwise an empty string.
getUser() - Method in class weka.gui.sql.SqlViewerDialog
  returns the chosen user, if any.
getUseRelativePath() - Method in class weka.core.converters.AbstractFileLoader
  Gets whether relative paths are to be used
getUseRelativePath() - Method in class weka.core.converters.AbstractFileSaver
  Gets whether relative paths are to be used
getUseRelativePath() - Method in interface weka.core.converters.FileSourcedConverter
  Gets whether relative paths are to be used
getUseRelativePath() - Method in class weka.gui.beans.SerializedModelSaver
  Get whether to use relative paths for the directory.
getUseRelativePaths() - Static method in class weka.gui.experiment.ExperimenterDefaults
  whether relative paths are used by default.
getUseResampling() - Method in class weka.classifiers.meta.AdaBoostM1
  Get whether resampling is turned on
getUseResampling() - Method in class weka.classifiers.meta.LogitBoost
  Get whether resampling is turned on
getUsername() - Method in class weka.experiment.DatabaseUtils
  Get the database username.
getUsername() - Method in class weka.gui.DatabaseConnectionDialog
  Returns Username from dialog
getUserOptions() - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
  returns the options the user supplied for the kernel
getUserOptions() - Method in class weka.core.CheckOptionHandler
  Gets the current user-supplied options (creates a copy)
getUseShortIdentifiers() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Get whether short identifiers are to be output.
getUseStars() - Method in class weka.core.Javadoc
  whether the Javadoc is prefixed with "*"
getUseSupervisedDiscretization() - Method in class weka.classifiers.bayes.NaiveBayes
  Get whether supervised discretization is to be used.
getUseTab() - Method in class weka.classifiers.evaluation.output.prediction.CSV
  Returns whether tab is used as separator.
getUseTabs() - Method in class weka.core.converters.MatlabSaver
  Returns whether tabs are used instead of blanks.
getUseTournamentSelection() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
getUseTournamentSelection() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
getUseTree() - Method in class weka.classifiers.trees.m5.Rule
  get whether an m5 tree is being used rather than rules
getUseUnsmoothed() - Method in class weka.classifiers.trees.m5.M5Base
  Get whether or not smoothing is being used
getUseWordFrequencies() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Get whether to use word frequencies rather than binary bag of words representation.
getUseWordFrequencies() - Method in class weka.classifiers.functions.SGDText
  Get whether to use word frequencies rather than binary bag of words representation.
getV() - Method in class weka.core.matrix.EigenvalueDecomposition
  Return the eigenvector matrix
getV() - Method in class weka.core.matrix.SingularValueDecomposition
  Return the right singular vectors
getValidating() - Method in class weka.core.xml.XMLDocument
  returns whether a validating parser is used.
getValidating() - Method in class weka.core.xml.XMLOptions
  returns whether a validating parser is used.
getValidationSetSize() - Method in class weka.classifiers.functions.MultilayerPerceptron
getValidationThreshold() - Method in class weka.classifiers.functions.MultilayerPerceptron
getValue() - Method in class weka.core.json.JSONNode
  Returns the stored value.
getValue(Object) - Method in class weka.core.json.JSONNode
  Returns the stored value.
getValue() - Method in class weka.core.pmml.FieldMetaInfo.Value
getValue() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Category
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Coefficient
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Constant
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Decision
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.EventValues
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Extension
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.FieldValue
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Item
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.MatCell
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.OutputField
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.PairCounts
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.PPCell
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.ResultField
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.TargetValue
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.TimeValue
  Gets the value of the value property.
getValue() - Method in class weka.core.pmml.jaxbbindings.Value
  Gets the value of the value property.
getValue(Object, PropertyPath.Path) - Static method in class weka.core.PropertyPath
  returns the value specified by the given path from the object
getValue(Object, String) - Static method in class weka.core.PropertyPath
  returns the value specified by the given path from the object
getValue(TechnicalInformation.Field) - Method in class weka.core.TechnicalInformation
  returns the value associated with the given field, or empty if field is not currently stored.
getValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Get the value of the new attribute.
getValue(Instance, int) - Static method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Returns either a String object for nominal attributes or a Double for numeric ones.
getValue() - Method in class weka.gui.beans.EnvironmentField
getValue() - Method in class weka.gui.CostMatrixEditor
  Gets the cost matrix that is being edited.
getValue() - Method in class weka.gui.GenericArrayEditor
  Gets the current object array.
getValue() - Method in class weka.gui.GenericObjectEditor
  Gets the current Object.
getValue() - Method in class weka.gui.HierarchyPropertyParser
  Get the value of current node
getValue() - Method in class weka.gui.SimpleDateFormatEditor
  Gets the date format that is being edited.
getValue() - Method in class weka.gui.SortedTableModel.SortContainer
  Returns the value to sort on.
getValueAt(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
  returns the value for the cell at columnindex and rowIndex
getValueAt(int, int) - Method in class weka.gui.beans.InteractiveTableModel
getValueAt(int, int) - Method in class weka.gui.SortedTableModel
  Returns the value for the cell at columnIndex and rowIndex.
getValueAt(int, int) - Method in class weka.gui.sql.ResultSetTableModel
  returns the value for the cell at columnindex and rowIndex.
getValueIndex() - Method in class weka.associations.NominalItem
  Get the value index for this item.
getValueIndices() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Get the indices of the indicator values.
getValueName(int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  returns value of a node
getValueRange() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Get the range containing the indicator values.
getValueReplacements() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
getValues(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  returns array of values of a node
getValues(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  returns array of values of a node
getValues() - Method in class weka.core.pmml.jaxbbindings.DataField
  Gets the value of the value property.
getValues() - Method in class weka.core.pmml.TargetMetaInfo
  Get the values (discrete case only) for this Target.
getValues() - Method in class weka.core.pmml.VectorInstance
  Get the Array of values encapsulated in this vector instance
getValues(InterquartileRange.ValueType) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Returns the values for the specified type.
getValues() - Method in class weka.gui.visualize.VisualizePanelEvent
getValuesList() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  returns the range for each attribute as string
getVarbValues() - Method in class weka.core.Optimization
  Get the variable values.
getVariableNames() - Method in class weka.core.Environment
  Get the names of the variables (keys) stored in the internal map.
getVariableValue(String) - Method in class weka.core.Environment
  Get the value for a particular variable.
getVariance() - Method in class weka.classifiers.BVDecompose
  Get the calculated variance
getVariance() - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
  Gets the value of the variance property.
getVariance() - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
  Gets the value of the variance property.
getVarianceCovered() - Method in class weka.attributeSelection.PrincipalComponents
  Gets the proportion of total variance to account for when retaining principal components
getVarianceCovered() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Gets the proportion of total variance to account for when retaining principal components.
getVector(String) - Method in class weka.core.pmml.VectorDictionary
  Gets a vector from the dictionary corresponding to the supplied ID
getVectorDictionary(Element, MiningSchema) - Static method in class weka.core.pmml.VectorDictionary
  Returns a new VectorDictionary constructed from the supplied XML container
getVectorFields() - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
  Gets the value of the vectorFields property.
getVectorFields() - Method in class weka.core.pmml.VectorInstance
  Get the mining fields that are indexed by this vector instance
getVectorId() - Method in class weka.core.pmml.jaxbbindings.SupportVector
  Gets the value of the vectorId property.
getVectorInstance() - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
  Gets the value of the vectorInstance property.
getVectorOfAttrTypes() - Method in class weka.estimators.CheckEstimator.AttrTypes
getVerbose() - Method in class weka.associations.Apriori
  Gets whether algorithm is run in verbose mode
getVerificationField() - Method in class weka.core.pmml.jaxbbindings.VerificationFields
  Gets the value of the verificationField property.
getVerificationFields() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
  Gets the value of the verificationFields property.
getVersion() - Method in class weka.core.pmml.jaxbbindings.Application
  Gets the value of the version property.
getVersion() - Method in class weka.core.pmml.jaxbbindings.PMML
  Gets the value of the version property.
getVersion() - Method in class weka.core.xml.XMLSerialization
  returns the WEKA version with which the serialized object was created
getVisible() - Method in class weka.gui.treevisualizer.Node
  Get the value of visible.
getVisibleColCount() - Method in class weka.experiment.ResultMatrix
  returns the number of visible columns.
getVisibleRowCount() - Method in class weka.experiment.ResultMatrix
  returns the number of visible rows.
getVisual() - Method in class weka.gui.beans.AbstractDataSink
  Get the visual being used by this data source.
getVisual() - Method in class weka.gui.beans.AbstractDataSource
  Get the visual being used by this data source.
getVisual() - Method in class weka.gui.beans.AbstractEvaluator
  Get the visual
getVisual() - Method in class weka.gui.beans.AbstractTestSetProducer
  Get the visual for this bean
getVisual() - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Get the visual for this bean
getVisual() - Method in class weka.gui.beans.AbstractTrainingSetProducer
  Get the visual for this bean
getVisual() - Method in class weka.gui.beans.Appender
  Get the visual representation
getVisual() - Method in class weka.gui.beans.Associator
  Gets the visual appearance of this wrapper bean
getVisual() - Method in class weka.gui.beans.ClassAssigner
getVisual() - Method in class weka.gui.beans.Classifier
  Gets the visual appearance of this wrapper bean
getVisual() - Method in class weka.gui.beans.ClassValuePicker
getVisual() - Method in class weka.gui.beans.Clusterer
  Gets the visual appearance of this wrapper bean
getVisual() - Method in class weka.gui.beans.CostBenefitAnalysis
getVisual() - Method in class weka.gui.beans.DataVisualizer
  Return the visual appearance of this bean
getVisual() - Method in class weka.gui.beans.Filter
  Get the visual appearance of this bean
getVisual() - Method in class weka.gui.beans.FlowByExpression
getVisual() - Method in class weka.gui.beans.GraphViewer
  Get the visual appearance of this bean
getVisual() - Method in class weka.gui.beans.ImageSaver
getVisual() - Method in class weka.gui.beans.ImageViewer
getVisual() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Gets the visual appearance of this wrapper bean
getVisual() - Method in class weka.gui.beans.Join
  Get the visual for this step
getVisual() - Method in class weka.gui.beans.MetaBean
  Gets the visual appearance of this wrapper bean
getVisual() - Method in class weka.gui.beans.ModelPerformanceChart
  Return the visual appearance of this bean
getVisual() - Method in class weka.gui.beans.PredictionAppender
  Get the visual being used by this data source.
getVisual() - Method in class weka.gui.beans.SerializedModelSaver
  Get the visual being used by this data source.
getVisual() - Method in class weka.gui.beans.Sorter
  Get the visual representation
getVisual() - Method in class weka.gui.beans.StripChart
  Get the visual appearance of this bean
getVisual() - Method in class weka.gui.beans.SubstringLabeler
  Get the visual representation
getVisual() - Method in class weka.gui.beans.SubstringReplacer
  Get the visual representation
getVisual() - Method in class weka.gui.beans.TextSaver
getVisual() - Method in class weka.gui.beans.TextViewer
  Get the visual appearance of this bean
getVisual() - Method in interface weka.gui.beans.Visible
  Get the visual representation
getVisualizeMenuItem(AssociationRules, String) - Method in interface weka.gui.visualize.plugins.AssociationRuleVisualizePlugin
  Get a JMenu or JMenuItem which contain action listeners that perform the visualization of the association rules.
getVisualizeMenuItem(Instances) - Method in interface weka.gui.visualize.plugins.ErrorVisualizePlugin
  Get a JMenu or JMenuItem which contain action listeners that perform the visualization of the classifier errors.
getVisualizeMenuItem(String, String) - Method in interface weka.gui.visualize.plugins.GraphVisualizePlugin
  Get a JMenu or JMenuItem which contain action listeners that perform the visualization of the graph in XML BIF format.
getVisualizeMenuItem(String, String) - Method in interface weka.gui.visualize.plugins.TreeVisualizePlugin
  Get a JMenu or JMenuItem which contain action listeners that perform the visualization of the tree in GraphViz's dotty format.
getVisualizeMenuItem(ArrayList<Prediction>, Attribute) - Method in interface weka.gui.visualize.plugins.VisualizePlugin
  Get a JMenu or JMenuItem which contain action listeners that perform the visualization, using some but not necessarily all of the data.
getVoteFlag() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Gets the vote flag.
getWBias() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Get the calculated bias according to the Webb definition
getWeight() - Method in class weka.core.pmml.jaxbbindings.Con1
  Gets the value of the weight property.
getWeight() - Method in class weka.core.pmml.jaxbbindings.Item
  Gets the value of the weight property.
getWeight() - Method in class weka.core.pmml.jaxbbindings.Segment
  Gets the value of the weight property.
getWeight() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Gets the value of the weight property.
getWeightByDistance() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Get whether nearest neighbours are being weighted by distance
getWeighted() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
  Gets the value of the weighted property.
getWeighted() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Gets the value of the weighted property.
getWeightField() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Gets the value of the weightField property.
getWeightingKernel() - Method in class weka.classifiers.lazy.LWL
  Gets the kernel weighting method to use.
getWeights() - Method in class weka.classifiers.functions.neural.NeuralNode
  call this function to get the weights array.
getWeights() - Method in class weka.classifiers.functions.SGD
getWeights() - Method in class weka.estimators.KernelEstimator
  Return the weights of the kernels.
getWeights() - Method in interface weka.gui.boundaryvisualizer.DataGenerator
  Get weights
getWeights() - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
getWeightThreshold() - Method in class weka.classifiers.meta.AdaBoostM1
  Get the degree of weight thresholding
getWeightThreshold() - Method in class weka.classifiers.meta.LogitBoost
  Get the degree of weight thresholding
getWeightTrimBeta() - Method in class weka.classifiers.functions.SimpleLogistic
  Get the value of weightTrimBeta.
getWeightTrimBeta() - Method in class weka.classifiers.trees.LMT
  Get the value of weightTrimBeta.
getWeightTrimBeta() - Method in class weka.classifiers.trees.lmt.LogisticBase
  Get the value of weightTrimBeta.
getWidth() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Gets the value of the width property.
getWidth() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Gets the value of the width property.
getWidth() - Method in class weka.core.pmml.jaxbbindings.Neuron
  Gets the value of the width property.
getWidth() - Method in class weka.gui.beans.BeanInstance
  Gets the width of this bean
getWindow(Class<?>) - Method in class weka.gui.Main
  returns the first instance of the given window class, null if none can be found.
getWindow(String) - Method in class weka.gui.Main
  returns the first window with the given title, null if none can be found.
getWindowList() - Method in class weka.gui.Main
  returns all currently open frames.
getWindowSize() - Method in class weka.classifiers.lazy.IBk
  Gets the maximum number of instances allowed in the training pool.
getWindowSize() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Gets the value of the windowSize property.
getWithPrefix(String) - Method in class weka.core.Trie
  returns all stored strings that match the given prefix
getWords() - Method in class weka.core.CheckScheme
  returns the words used for assembling strings in a comma-separated list.
getWords() - Method in class weka.core.TestInstances
  returns the words used for assembling strings in a comma-separated list.
getWordSeparators() - Method in class weka.core.CheckScheme
  returns the word separators (chars) to use for assembling strings.
getWordSeparators() - Method in class weka.core.TestInstances
  returns the word separators (chars) to use for assembling strings.
getWordsToKeep() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Gets the number of words (per class if there is a class attribute assigned) to attempt to keep.
getWrappedAlgorithm() - Method in class weka.gui.beans.Associator
  Returns the wrapped associator
getWrappedAlgorithm() - Method in class weka.gui.beans.Classifier
  Returns the wrapped classifier
getWrappedAlgorithm() - Method in class weka.gui.beans.Clusterer
  Returns the wrapped clusterer
getWrappedAlgorithm() - Method in class weka.gui.beans.Filter
  Get the filter wrapped by this bean
getWrappedAlgorithm() - Method in class weka.gui.beans.Loader
  Get the loader
getWrappedAlgorithm() - Method in class weka.gui.beans.Saver
  Get the saver
getWrappedAlgorithm() - Method in interface weka.gui.beans.WekaWrapper
  Get the algorithm
getWrappedRules() - Method in class weka.associations.FilteredAssociationRules
  Get the wrapped `AssociationRules` object.
getWriteMode() - Method in class weka.core.converters.AbstractSaver
  Gets the write mode.
getWriteMode() - Method in interface weka.core.converters.Saver
  Gets the write mode
getWriter() - Method in class weka.core.converters.AbstractFileSaver
  Gets the writer
getWriter(String) - Method in class weka.gui.visualize.PrintableComponent
  returns the JComponentWriter associated with the given name, is `null` if not found.
getWriter(String) - Method in interface weka.gui.visualize.PrintableHandler
  returns the JComponentWriter associated with the given name, is `null` if not found
getWriter(String) - Method in class weka.gui.visualize.PrintablePanel
  returns the JComponentWriter associated with the given name, is `null` if not found
getWriters() - Method in class weka.gui.visualize.PrintableComponent
  returns a Hashtable with the current available JComponentWriters in the save dialog.
getWriters() - Method in interface weka.gui.visualize.PrintableHandler
  returns a Hashtable with the current available JComponentWriters in the save dialog.
getWriters() - Method in class weka.gui.visualize.PrintablePanel
  returns a Hashtable with the current available JComponentWriters in the save dialog.
getWVariance() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Get the calculated variance according to the Webb definition
getX() - Method in class weka.classifiers.functions.neural.NeuralConnection
getX() - Method in class weka.gui.beans.BeanInstance
  Gets the x coordinate of this bean
getXCoordinates() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
  Gets the value of the xCoordinates property.
getXCoordinates() - Method in class weka.core.pmml.jaxbbindings.ROCGraph
  Gets the value of the xCoordinates property.
getXindex() - Method in class weka.gui.visualize.PlotData2D
  Get the currently set x index of the data
getXIndex() - Method in class weka.gui.visualize.VisualizePanel
  Get the index of the attribute on the x axis
getXLabelFreq() - Method in class weka.gui.beans.StripChart
  Get the frequency by which x axis values are printed
getXMLDocument() - Method in class weka.core.xml.XMLOptions
  returns the handler of the XML document.
getXScale() - Method in class weka.gui.visualize.JComponentWriter
  returns the scale factor for the x-axis
getXScale() - Method in class weka.gui.visualize.PrintableComponent
  returns the scale factor for the x-axis.
getXScale() - Method in interface weka.gui.visualize.PrintableHandler
  returns the scale factor for the x-axis
getXScale() - Method in class weka.gui.visualize.PrintablePanel
  returns the scale factor for the x-axis
getY() - Method in class weka.classifiers.functions.neural.NeuralConnection
getY() - Method in class weka.gui.beans.BeanInstance
  Gets the y coordinate of this bean
getYCoordinates() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
  Gets the value of the yCoordinates property.
getYCoordinates() - Method in class weka.core.pmml.jaxbbindings.ROCGraph
  Gets the value of the yCoordinates property.
getYindex() - Method in class weka.gui.visualize.PlotData2D
  Get the currently set y index of the data
getYIndex() - Method in class weka.gui.visualize.VisualizePanel
  Get the index of the attribute on the y axis
getYScale() - Method in class weka.gui.visualize.JComponentWriter
  returns the scale factor for the y-axis
getYScale() - Method in class weka.gui.visualize.PrintableComponent
  returns the scale factor for the y-axis.
getYScale() - Method in interface weka.gui.visualize.PrintableHandler
  returns the scale factor for the y-axis
getYScale() - Method in class weka.gui.visualize.PrintablePanel
  returns the scale factor for the y-axis
getZeroThreshold() - Method in class weka.core.pmml.jaxbbindings.VerificationField
  Gets the value of the zeroThreshold property.
getZMax() - Method in class weka.classifiers.meta.LogitBoost
  Get the Z max threshold on the responses
getZoomSetting(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
gini(Map<String, WeightMass>) - Static method in class weka.classifiers.trees.ht.GiniSplitMetric
  Return the gini metric computed from the supplied distribution
GINI_SPLIT - Static variable in class weka.classifiers.trees.HoeffdingTree
GiniSplitMetric - Class in weka.classifiers.trees.ht
  Implements the gini splitting criterion
GiniSplitMetric() - Constructor for class weka.classifiers.trees.ht.GiniSplitMetric
globalBlendTipText() - Method in class weka.classifiers.lazy.KStar
  Returns the tip text for this property
globalInfo() - Method in class weka.associations.Apriori
  Returns a string describing this associator
globalInfo() - Method in class weka.associations.FilteredAssociator
  Returns a string describing this Associator
globalInfo() - Method in class weka.associations.FPGrowth
  Returns a string describing this associator
globalInfo() - Method in class weka.attributeSelection.BestFirst
  Returns a string describing this search method
globalInfo() - Method in class weka.attributeSelection.CfsSubsetEval
  Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.CorrelationAttributeEval
  Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.GainRatioAttributeEval
  Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.GreedyStepwise
  Returns a string describing this search method
globalInfo() - Method in class weka.attributeSelection.InfoGainAttributeEval
  Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.OneRAttributeEval
  Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.PrincipalComponents
  Returns a string describing this attribute transformer
globalInfo() - Method in class weka.attributeSelection.Ranker
  Returns a string describing this search method
globalInfo() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.attributeSelection.WrapperSubsetEval
  Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.classifiers.bayes.BayesNet
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.NaiveBayes
  Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
  Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
  Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.bayes.NaiveBayesUpdateable
  Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.bayes.net.BIFReader
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
  This will return a string describing the class.
globalInfo() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
  Returns a string describing this object
globalInfo() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
  Returns a string describing this object
globalInfo() - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
  Returns a string describing this object
globalInfo() - Method in class weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
  Returns a string describing this object
globalInfo() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
  This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
  Returns a string describing this object
globalInfo() - Method in class weka.classifiers.bayes.net.search.fixed.NaiveBayes
  Returns a string describing this object
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
  This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.K2
  This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.global.TAN
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
  This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.K2
  This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
  This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  This will return a string describing the search algorithm.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.bayes.net.search.local.TAN
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.BVDecompose
  Returns a string describing this object
globalInfo() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Returns a string describing this object
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.CSV
  Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.HTML
  Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.Null
  Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.PlainText
  Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.XML
  Returns a string describing the output generator.
globalInfo() - Method in class weka.classifiers.functions.GaussianProcesses
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.LinearRegression
  Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.functions.Logistic
  Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.functions.MultilayerPerceptron
  This will return a string describing the classifier.
globalInfo() - Method in class weka.classifiers.functions.SGD
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.SGDText
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.SimpleLinearRegression
  Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.SMO
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.SMOreg
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.supportVector.Kernel
  Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
  Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.supportVector.Puk
  Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.supportVector.RBFKernel
  Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.supportVector.RegSMO
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  Returns a string describing the object
globalInfo() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns a string describing the kernel
globalInfo() - Method in class weka.classifiers.functions.VotedPerceptron
  Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.lazy.IBk
  Returns a string describing classifier.
globalInfo() - Method in class weka.classifiers.lazy.KStar
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.lazy.LWL
  Returns a string describing classifier.
globalInfo() - Method in class weka.classifiers.meta.AdaBoostM1
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.AdditiveRegression
  Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Returns a string describing this search method
globalInfo() - Method in class weka.classifiers.meta.Bagging
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.ClassificationViaRegression
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.CostSensitiveClassifier
globalInfo() - Method in class weka.classifiers.meta.CVParameterSelection
  Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.meta.FilteredClassifier
  Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.LogitBoost
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.MultiClassClassifier
globalInfo() - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
globalInfo() - Method in class weka.classifiers.meta.MultiScheme
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.RandomCommittee
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
  Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.meta.RandomSubSpace
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.Stacking
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.meta.Vote
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.misc.InputMappedClassifier
  Returns a string describing this classifier
globalInfo() - Method in class weka.classifiers.misc.SerializedClassifier
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.rules.DecisionTable
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.rules.JRip
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.rules.M5Rules
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.rules.OneR
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.rules.PART
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.rules.ZeroR
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.DecisionStump
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.J48
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.LMT
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.m5.M5Base
  returns information about the classifier
globalInfo() - Method in class weka.classifiers.trees.RandomForest
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.RandomTree
  Returns a string describing classifier
globalInfo() - Method in class weka.classifiers.trees.REPTree
  Returns a string describing classifier
globalInfo() - Method in class weka.clusterers.Canopy
  Returns a string describing this clusterer.
globalInfo() - Method in class weka.clusterers.Cobweb
  Returns a string describing this clusterer
globalInfo() - Method in class weka.clusterers.EM
  Returns a string describing this clusterer
globalInfo() - Method in class weka.clusterers.FarthestFirst
  Returns a string describing this clusterer
globalInfo() - Method in class weka.clusterers.FilteredClusterer
  Returns a string describing this clusterer.
globalInfo() - Method in class weka.clusterers.HierarchicalClusterer
  This will return a string describing the clusterer.
globalInfo() - Method in class weka.clusterers.MakeDensityBasedClusterer
  Returns a string describing classifier
globalInfo() - Method in class weka.clusterers.SimpleKMeans
  Returns a string describing this clusterer.
globalInfo() - Method in class weka.core.ChebyshevDistance
  Returns a string describing this object.
globalInfo() - Method in class weka.core.converters.ArffLoader
  Returns a string describing this Loader
globalInfo() - Method in class weka.core.converters.ArffSaver
  Returns a string describing this Saver
globalInfo() - Method in class weka.core.converters.C45Loader
  Returns a string describing this attribute evaluator
globalInfo() - Method in class weka.core.converters.C45Saver
  Returns a string describing this Saver
globalInfo() - Method in class weka.core.converters.CSVLoader
  Returns a string describing this attribute evaluator.
globalInfo() - Method in class weka.core.converters.CSVSaver
  Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.DatabaseLoader
  Returns a string describing this Loader
globalInfo() - Method in class weka.core.converters.DatabaseSaver
  Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.JSONLoader
  Returns a string describing this Loader.
globalInfo() - Method in class weka.core.converters.JSONSaver
  Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.LibSVMLoader
  Returns a string describing this Loader.
globalInfo() - Method in class weka.core.converters.LibSVMSaver
  Returns a string describing this Saver
globalInfo() - Method in class weka.core.converters.MatlabLoader
  Returns a string describing this Loader.
globalInfo() - Method in class weka.core.converters.MatlabSaver
  Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.SerializedInstancesLoader
  Returns a string describing this object
globalInfo() - Method in class weka.core.converters.SerializedInstancesSaver
  Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.SVMLightLoader
  Returns a string describing this Loader.
globalInfo() - Method in class weka.core.converters.SVMLightSaver
  Returns a string describing this Saver.
globalInfo() - Method in class weka.core.converters.TextDirectoryLoader
  Returns a string describing this loader
globalInfo() - Method in class weka.core.converters.XRFFLoader
  Returns a string describing this Loader
globalInfo() - Method in class weka.core.converters.XRFFSaver
  Returns a string describing this Saver
globalInfo() - Method in class weka.core.EuclideanDistance
  Returns a string describing this object.
globalInfo() - Method in class weka.core.FilteredDistance
  Returns a string describing this object.
globalInfo() - Method in class weka.core.ManhattanDistance
  Returns a string describing this object.
globalInfo() - Method in class weka.core.MinkowskiDistance
  Returns a string describing this object.
globalInfo() - Method in class weka.core.neighboursearch.BallTree
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
  Returns a string describing this object.
globalInfo() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.CoverTree
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Returns a string describing this object.
globalInfo() - Method in class weka.core.neighboursearch.KDTree
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.LinearNNSearch
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Returns a string describing this nearest neighbour search algorithm.
globalInfo() - Method in class weka.core.NormalizableDistance
  Returns a string describing this object.
globalInfo() - Method in class weka.core.stemmers.IteratedLovinsStemmer
  Returns a string describing the stemmer
globalInfo() - Method in class weka.core.stemmers.LovinsStemmer
  Returns a string describing the stemmer
globalInfo() - Method in class weka.core.stemmers.NullStemmer
  Returns a string describing the stemmer
globalInfo() - Method in class weka.core.stemmers.SnowballStemmer
  Returns a string describing the stemmer.
globalInfo() - Method in class weka.core.stopwords.AbstractStopwords
  Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.core.stopwords.MultiStopwords
globalInfo() - Method in class weka.core.stopwords.Null
  Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.core.stopwords.Rainbow
  Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.core.stopwords.RegExpFromFile
  Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.core.stopwords.WordsFromFile
  Returns a string describing the stopwords scheme.
globalInfo() - Method in class weka.core.tokenizers.AlphabeticTokenizer
  Returns a string describing the stemmer
globalInfo() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Returns a string describing the tokenizer
globalInfo() - Method in class weka.core.tokenizers.NGramTokenizer
  Returns a string describing the stemmer
globalInfo() - Method in class weka.core.tokenizers.Tokenizer
  Returns a string describing the stemmer
globalInfo() - Method in class weka.core.tokenizers.WordTokenizer
  Returns a string describing the stemmer
globalInfo() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.classifiers.classification.LED24
  Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.classifiers.regression.Expression
  Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.ClusterDefinition
  Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Returns a string describing this data generator.
globalInfo() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Returns a string describing this data generator.
globalInfo() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Returns a string describing the estimator.
globalInfo() - Method in class weka.estimators.UnivariateKernelEstimator
  Returns a string describing the estimator.
globalInfo() - Method in class weka.estimators.UnivariateMixtureEstimator
  Returns a string describing the estimator.
globalInfo() - Method in class weka.estimators.UnivariateNormalEstimator
  Returns a string describing the estimator.
globalInfo() - Method in class weka.experiment.AveragingResultProducer
  Returns a string describing this result producer
globalInfo() - Method in class weka.experiment.ClassifierSplitEvaluator
  Returns a string describing this split evaluator
globalInfo() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
  Returns a string describing this split evaluator
globalInfo() - Method in class weka.experiment.CrossValidationResultProducer
  Returns a string describing this result producer
globalInfo() - Method in class weka.experiment.CrossValidationSplitResultProducer
  Returns a string describing this result producer
globalInfo() - Method in class weka.experiment.CSVResultListener
  Returns a string describing this result listener
globalInfo() - Method in class weka.experiment.DatabaseResultListener
  Returns a string describing this result listener
globalInfo() - Method in class weka.experiment.DatabaseResultProducer
  Returns a string describing this result producer
globalInfo() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Returns a string describing this split evaluator
globalInfo() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns a string describing this result producer.
globalInfo() - Method in class weka.experiment.InstancesResultListener
  Returns a string describing this result listener
globalInfo() - Method in class weka.experiment.LearningRateResultProducer
  Returns a string describing this result producer
globalInfo() - Method in class weka.experiment.RandomSplitResultProducer
  Returns a string describing this result producer
globalInfo() - Method in class weka.experiment.RegressionSplitEvaluator
  Returns a string describing this split evaluator
globalInfo() - Method in class weka.experiment.ResultMatrix
  Returns a string describing the matrix.
globalInfo() - Method in class weka.experiment.ResultMatrixCSV
  Returns a string describing the matrix.
globalInfo() - Method in class weka.experiment.ResultMatrixGnuPlot
  Returns a string describing the matrix.
globalInfo() - Method in class weka.experiment.ResultMatrixHTML
  Returns a string describing the matrix.
globalInfo() - Method in class weka.experiment.ResultMatrixLatex
  Returns a string describing the matrix.
globalInfo() - Method in class weka.experiment.ResultMatrixPlainText
  Returns a string describing the matrix.
globalInfo() - Method in class weka.experiment.ResultMatrixSignificance
  Returns a string describing the matrix.
globalInfo() - Method in class weka.filters.AllFilter
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.MultiFilter
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.SimpleFilter
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.supervised.attribute.AddClassification
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.supervised.attribute.AttributeSelection
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.supervised.attribute.ClassOrder
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.supervised.attribute.Discretize
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.supervised.attribute.NominalToBinary
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.supervised.attribute.PartitionMembership
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.supervised.instance.ClassBalancer
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.supervised.instance.Resample
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.Add
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.AddCluster
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.AddExpression
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.AddID
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.AddValues
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.Center
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
  Returns a string describing this classifier.
globalInfo() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.Copy
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.Discretize
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.FirstOrder
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
globalInfo() - Method in class weka.filters.unsupervised.attribute.MathExpression
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.NominalToString
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.Normalize
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.Obfuscate
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.Remove
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.RemoveByName
  Returns a string describing this classifier.
globalInfo() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Global help info
globalInfo() - Method in class weka.filters.unsupervised.attribute.Reorder
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.SortLabels
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.Standardize
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.StringToNominal
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.attribute.SwapValues
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
  Returns a string describing this classifier
globalInfo() - Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
  Returns a string describing this classifier
globalInfo() - Method in class weka.filters.unsupervised.attribute.Transpose
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.Randomize
  Returns a string describing this classifier
globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveDuplicates
  Returns a string describing this filter.
globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveRange
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns a string describing this classifier
globalInfo() - Method in class weka.filters.unsupervised.instance.Resample
  Returns a string describing this classifier
globalInfo() - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
  Returns a string describing this filter
globalInfo() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Returns a string describing this filter.
globalInfo() - Method in class weka.gui.beans.Associator
  Global info (if it exists) for the wrapped classifier
globalInfo() - Method in class weka.gui.beans.AttributeSummarizer
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.ClassAssigner
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.Classifier
  Global info (if it exists) for the wrapped classifier
globalInfo() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.ClassValuePicker
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.Clusterer
  Global info (if it exists) for the wrapped classifier
globalInfo() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.CostBenefitAnalysis
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.CrossValidationFoldMaker
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.DataVisualizer
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.Filter
  Global info (if it exists) for the wrapped filter
globalInfo() - Method in class weka.gui.beans.FlowByExpression
globalInfo() - Method in class weka.gui.beans.GraphViewer
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.ImageSaver
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.ImageViewer
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.Join
  Global info for the method
globalInfo() - Method in class weka.gui.beans.Loader
  Global info (if it exists) for the wrapped loader
globalInfo() - Method in class weka.gui.beans.ModelPerformanceChart
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.PredictionAppender
  Global description of this bean
globalInfo() - Method in class weka.gui.beans.Saver
  Global info (if it exists) for the wrapped loader
globalInfo() - Method in class weka.gui.beans.ScatterPlotMatrix
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.SerializedModelSaver
  Global info for this bean.
globalInfo() - Method in class weka.gui.beans.Sorter
  Help information suitable for displaying in the GUI.
globalInfo() - Method in class weka.gui.beans.StripChart
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.SubstringLabeler
  Help information suitable for displaying in the GUI.
globalInfo() - Method in class weka.gui.beans.SubstringReplacer
  About information
globalInfo() - Method in class weka.gui.beans.TestSetMaker
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.TextSaver
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.TextViewer
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.TrainingSetMaker
  Global info for this bean
globalInfo() - Method in class weka.gui.beans.TrainTestSplitMaker
  Global info for this bean
globalInfo() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Returns a string describing this tool
GLOBALINFO_ENDTAG - Static variable in class weka.core.GlobalInfoJavadoc
  the end comment tag for inserting the generated Javadoc
GLOBALINFO_METHOD - Static variable in class weka.core.GlobalInfoJavadoc
  the globalInfo method name
GLOBALINFO_STARTTAG - Static variable in class weka.core.GlobalInfoJavadoc
  the start comment tag for inserting the generated Javadoc
GlobalInfoJavadoc - Class in weka.core
  Generates Javadoc comments from the class's globalInfo method.
GlobalInfoJavadoc() - Constructor for class weka.core.GlobalInfoJavadoc
  default constructor
GlobalScoreSearchAlgorithm - Class in weka.classifiers.bayes.net.search.global
  This Bayes Network learning algorithm uses cross validation to estimate classification accuracy.
GlobalScoreSearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
goDown(String) - Method in class weka.gui.HierarchyPropertyParser
  Go to a certain node of the tree down from the current node according to the specified relative path.
GOECustomizer - Interface in weka.gui.beans
  Extends BeanCustomizer.
goTo(String) - Method in class weka.gui.HierarchyPropertyParser
  Go to a certain node of the tree according to the specified path Note that the path must be absolute path from the root.
goToChild(String) - Method in class weka.gui.HierarchyPropertyParser
  Go to one child node from the current position in the tree according to the given value
  If the child node with the given value cannot be found it returns false, true otherwise.
goToChild(int) - Method in class weka.gui.HierarchyPropertyParser
  Go to one child node from the current position in the tree according to the given position
goToParent() - Method in class weka.gui.HierarchyPropertyParser
  Go to the parent from the current position in the tree If the current position is the root, it stays there and does not move
goToRoot() - Method in class weka.gui.HierarchyPropertyParser
  Go to the root of the tree
GPCIgnore - Annotation Type in weka.gui
  Marker annotation.
gr(double, double) - Static method in class weka.core.Utils
  Tests if a is greater than b.
gracePeriodTipText() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns the tip text for this property
graph(FPGrowth.FPTreeRoot) - Method in class weka.associations.FPGrowth
  Assemble a dot graph representation of the FP-tree.
graph() - Method in class weka.classifiers.bayes.BayesNet
  Returns a BayesNet graph in XMLBIF ver 0.3 format.
graph() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Returns graph describing the classifier (if possible).
graph() - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Returns graph describing the classifier (if possible).
graph() - Method in class weka.classifiers.meta.CVParameterSelection
  Returns graph describing the classifier (if possible).
graph() - Method in class weka.classifiers.meta.FilteredClassifier
  Returns graph describing the classifier (if possible).
graph() - Method in class weka.classifiers.misc.InputMappedClassifier
  Returns graph describing the classifier (if possible).
graph() - Method in class weka.classifiers.pmml.consumer.TreeModel
graph() - Method in class weka.classifiers.trees.HoeffdingTree
graph() - Method in class weka.classifiers.trees.j48.ClassifierTree
  Returns graph describing the tree.
graph() - Method in class weka.classifiers.trees.J48
  Returns graph describing the tree.
graph() - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
  Returns graph describing the tree.
graph() - Method in class weka.classifiers.trees.LMT
  Returns graph describing the tree.
graph() - Method in class weka.classifiers.trees.lmt.LMTNode
  Returns graph describing the tree.
graph(StringBuffer) - Method in class weka.classifiers.trees.m5.RuleNode
  Assign a unique identifier to each node in the tree and then calls graphTree
graph() - Method in class weka.classifiers.trees.M5P
  Return a dot style String describing the tree.
graph() - Method in class weka.classifiers.trees.RandomTree
  Returns graph describing the tree.
graph() - Method in class weka.classifiers.trees.REPTree
  Outputs the decision tree as a graph
graph() - Method in class weka.clusterers.Cobweb
  Generates the graph string of the Cobweb tree
graph() - Method in class weka.clusterers.HierarchicalClusterer
graph() - Method in interface weka.core.Drawable
  Returns a string that describes a graph representing the object.
GraphConstants - Interface in weka.gui.graphvisualizer
  GraphConstants.java
GraphEdge - Class in weka.gui.graphvisualizer
  This class represents an edge in the graph
GraphEdge(int, int, int) - Constructor for class weka.gui.graphvisualizer.GraphEdge
GraphEdge(int, int, int, String, String) - Constructor for class weka.gui.graphvisualizer.GraphEdge
GraphEvent - Class in weka.gui.beans
  Event for graphs
GraphEvent(Object, String, String, int) - Constructor for class weka.gui.beans.GraphEvent
  Creates a new `GraphEvent` instance.
GraphListener - Interface in weka.gui.beans
  Describe interface `TextListener` here.
GraphNode - Class in weka.gui.graphvisualizer
  This class represents a node in the Graph.
GraphNode(String, String) - Constructor for class weka.gui.graphvisualizer.GraphNode
  Constructor
GraphNode(String, String, int) - Constructor for class weka.gui.graphvisualizer.GraphNode
  Constructor
graphTree(StringBuffer) - Method in class weka.classifiers.trees.ht.HNode
graphTree(StringBuffer) - Method in class weka.classifiers.trees.ht.SplitNode
graphType() - Method in class weka.classifiers.bayes.BayesNet
  Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.meta.CVParameterSelection
  Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.meta.FilteredClassifier
  Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.misc.InputMappedClassifier
  Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.pmml.consumer.TreeModel
graphType() - Method in class weka.classifiers.trees.HoeffdingTree
graphType() - Method in class weka.classifiers.trees.j48.ClassifierTree
  Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.trees.J48
  Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.trees.LMT
  Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.trees.M5P
  Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.trees.RandomTree
  Returns the type of graph this classifier represents.
graphType() - Method in class weka.classifiers.trees.REPTree
  Returns the type of graph this classifier represents.
graphType() - Method in class weka.clusterers.Cobweb
  Returns the type of graphs this class represents
graphType() - Method in class weka.clusterers.HierarchicalClusterer
graphType() - Method in interface weka.core.Drawable
  Returns the type of graph representing the object.
GraphViewer - Class in weka.gui.beans
  A bean encapsulating weka.gui.treevisualize.TreeVisualizer
GraphViewer() - Constructor for class weka.gui.beans.GraphViewer
GraphViewerBeanInfo - Class in weka.gui.beans
  Bean info class for the graph viewer
GraphViewerBeanInfo() - Constructor for class weka.gui.beans.GraphViewerBeanInfo
GraphVisualizePlugin - Interface in weka.gui.visualize.plugins
  Interface implemented by classes loaded dynamically to visualize graphs in the explorer.
GraphVisualizer - Class in weka.gui.graphvisualizer
  This class displays the graph we want to visualize.
GraphVisualizer() - Constructor for class weka.gui.graphvisualizer.GraphVisualizer
  Constructor
  Sets up the gui and initializes all the other previously uninitialized variables.
GreedyStepwise - Class in weka.attributeSelection
  GreedyStepwise :
  Performs a greedy forward or backward search through the space of attribute subsets.
GreedyStepwise() - Constructor for class weka.attributeSelection.GreedyStepwise
  Constructor
GRID - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
  Constant set for choice of pattern.
Groovy - Class in weka.core.scripting
  A helper class for Groovy.
Groovy() - Constructor for class weka.core.scripting.Groovy
  default constructor, tries to instantiate a Groovy classloader.
GroovyPanel - Class in weka.gui.scripting
  A scripting panel for Groovy.
GroovyPanel() - Constructor for class weka.gui.scripting.GroovyPanel
GroovyScript - Class in weka.gui.scripting
  Represents a Groovy script.
GroovyScript() - Constructor for class weka.gui.scripting.GroovyScript
  Initializes the script.
GroovyScript(Document) - Constructor for class weka.gui.scripting.GroovyScript
  Initializes the script.
GroovyScript(Document, File) - Constructor for class weka.gui.scripting.GroovyScript
  Initializes the script.
GroovyScript.GroovyThread - Class in weka.gui.scripting
  Executes a Groovy script in a thread.
GroovyScript.GroovyThread(Script, String[]) - Constructor for class weka.gui.scripting.GroovyScript.GroovyThread
  Initializes the thread.
grOrEq(double, double) - Static method in class weka.core.Utils
  Tests if a is greater or equal to b.
grouping(boolean) - Method in class weka.core.matrix.FlexibleDecimalFormat
grow(Instances) - Method in class weka.classifiers.rules.JRip.RipperRule
  Build one rule using the growing data
grow(Instances) - Method in class weka.classifiers.rules.Rule
  Build this rule
GT - Static variable in interface weka.core.mathematicalexpression.sym
GT - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
GUI - Class in weka.classifiers.bayes.net
  GUI interface to Bayesian Networks.
GUI() - Constructor for class weka.classifiers.bayes.net.GUI
  Constructor
  Sets up the gui and initializes all the other previously uninitialized variables.
GUI_MDI - Static variable in class weka.gui.Main
  displays the GUI as MDI.
GUI_SDI - Static variable in class weka.gui.Main
  displays the GUI as SDI.
GUIChooser - Class in weka.gui
  The main class for the Weka GUIChooser.
GUIChooser() - Constructor for class weka.gui.GUIChooser
  Creates the experiment environment gui with no initial experiment
GUIChooser.ChildFrameSDI - Class in weka.gui
  Specialized JFrame class.
GUIChooser.ChildFrameSDI(GUIChooser, String) - Constructor for class weka.gui.GUIChooser.ChildFrameSDI
  constructs a new internal frame that knows about its parent.
GUIChooser.GUIChooserMenuPlugin - Interface in weka.gui
  Interface for plugin components that can be accessed from either the Visualization or Tools menu.
GUIChooser.GUIChooserMenuPlugin.Menu - Enum in weka.gui
  Enum listing possible menus that plugins can appear in
GUIEDITORS_PROPERTY_FILE - Static variable in class weka.gui.GenericObjectEditor
  the properties files containing the class/editor mappings.
GUITipText() - Method in class weka.classifiers.functions.MultilayerPerceptron

## H

handles(Capabilities.Capability) - Method in class weka.core.Capabilities
  returns true if the classifier handler has the specified capability
handles(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
  returns true if the given capability can be handled.
hasAdditional() - Method in class weka.core.TechnicalInformation
  returns true if there are further technical informations stored in this
hasAdditional() - Method in class weka.gui.scripting.event.ScriptExecutionEvent
  Returns whether additional information is available.
hasAntds() - Method in class weka.classifiers.rules.JRip.RipperRule
  Whether this rule has antecedents, i.e.
hasAntds() - Method in class weka.classifiers.rules.Rule
  Whether this rule has antecedents, i.e.
hasChild(String) - Method in class weka.core.json.JSONNode
  Checks whether the node has a child with the given name.
hasClasspathProblems() - Method in class weka.core.CheckScheme
  returns TRUE if the classifier returned a "not in classpath" Exception
hasClasspathProblems() - Method in class weka.estimators.CheckEstimator
  returns TRUE if the estimator returned a "not in classpath" Exception
hasDependencies() - Method in class weka.core.Capabilities
  Checks whether there are any dependencies at all
hasDependency(Capabilities.Capability) - Method in class weka.core.Capabilities
  returns true if the classifier handler has a dependency for the specified capability
hasEmptyRow() - Method in class weka.gui.beans.InteractiveTableModel
  Returns true if the model has an empty row
hash - Variable in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
  attribute value hash code
hashCode() - Method in class weka.associations.BinaryItem
hashCode() - Method in class weka.associations.Item
hashCode() - Method in class weka.associations.ItemSet
  Produces a hash code for a item set.
hashCode() - Method in class weka.classifiers.rules.DecisionTableHashKey
  Calculates a hash code
hashCode() - Method in class weka.core.Attribute
  Returns a hash code for this attribute based on its name.
hashCode() - Method in class weka.core.SerializedObject
  Returns a hashcode for this object.
hashCode() - Method in class weka.core.Trie
  Returns the hash code value for this collection.
hasIncomingBatchInstances() - Method in class weka.gui.beans.Classifier
  Returns true if this classifier has an incoming connection that is a batch set of instances
hasIncomingBatchInstances() - Method in class weka.gui.beans.Clusterer
  Returns true if this clusterer has an incoming connection that is a batch set of instances
hasIncomingStreamInstances() - Method in class weka.gui.beans.Classifier
  Returns true if this classifier has an incoming connection that is an instance stream
hasIndex() - Method in class weka.core.PropertyPath.PathElement
  returns whether the property is an index-based one
hasInterface(String, String) - Static method in class weka.core.ClassDiscovery
  Checks whether the given class implements the given interface.
hasInterface(Class<?>, Class<?>) - Static method in class weka.core.ClassDiscovery
  Checks whether the given class implements the given interface.
hasMaxRows() - Method in class weka.gui.sql.ResultSetHelper
  whether a limit on the rows to retrieve was set.
hasMissingValue() - Method in class weka.core.AbstractInstance
  Tests whether an instance has a missing value.
hasMissingValue() - Method in interface weka.core.Instance
  Tests whether an instance has a missing value.
hasModels() - Method in class weka.classifiers.trees.lmt.LMTNode
  Returns true if the logistic regression model at this node has changed compared to the one at the parent node.
hasMoreElements(Instances) - Method in class weka.core.converters.ConverterUtils.DataSource
  returns whether there are more Instance objects in the data.
hasMoreElements() - Method in class weka.core.tokenizers.AlphabeticTokenizer
  returns whether there are more elements still
hasMoreElements() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  returns true if there's more elements available
hasMoreElements() - Method in class weka.core.tokenizers.NGramTokenizer
  returns true if there's more elements available
hasMoreElements() - Method in class weka.core.tokenizers.Tokenizer
  Tests if this enumeration contains more elements.
hasMoreElements() - Method in class weka.core.tokenizers.WordTokenizer
  Tests if this enumeration contains more elements.
hasMoreElements() - Method in class weka.core.WekaEnumeration
  Tests if there are any more elements to enumerate.
hasMoreIterations() - Method in class weka.experiment.Experiment
  Returns true if there are more iterations to carry out in the experiment.
hasNext() - Method in class weka.core.Trie.TrieIterator
  Returns true if the iteration has more elements.
hasResult() - Method in class weka.gui.sql.event.QueryExecuteEvent
  whether a ResultSet was produced, e.g.
hasTargetMetaData() - Method in class weka.core.pmml.MiningSchema
  Returns true if there is Target meta data.
hasUID(String) - Static method in class weka.core.SerializationHelper
  checks whether the given class contains a serialVersionUID.
hasUID(Class<?>) - Static method in class weka.core.SerializationHelper
  checks whether the given class contains a serialVersionUID.
hasZeropoint() - Method in class weka.core.Attribute
  Returns whether the attribute has a zeropoint and may be added meaningfully.
HEADER - Static variable in class weka.core.json.JSONInstances
  the header section.
Header - Class in weka.core.pmml.jaxbbindings
  Java class for Header element declaration.
Header() - Constructor for class weka.core.pmml.jaxbbindings.Header
HEADER - Static variable in class weka.core.RepositoryIndexGenerator
header(int) - Method in class weka.experiment.PairedTTester
  Creates a "header" string describing the current resultsets.
header(int) - Method in interface weka.experiment.Tester
  Creates a "header" string describing the current resultsets.
headerKeys() - Method in class weka.experiment.ResultMatrix
  returns an enumeration of the header keys.
HeadlessEventCollector - Interface in weka.gui.beans
  Interface for Knowledge Flow components that (typically) provide an interactive graphical visualization to implement.
HEIGHT - Static variable in class weka.gui.arffviewer.ArffViewerMainPanel
  default height
HEIGHT - Static variable in class weka.gui.sql.SqlViewer
  the height property in the history file.
heuristicStopTipText() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns the tip text for this property
hiddenLayersTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
HierarchicalBCEngine - Class in weka.gui.graphvisualizer
  This class lays out the vertices of a graph in a hierarchy of vertical levels, with a number of nodes in each level.
HierarchicalBCEngine(ArrayList<GraphNode>, ArrayList<GraphEdge>, int, int) - Constructor for class weka.gui.graphvisualizer.HierarchicalBCEngine
  Constructor - takes in FastVectors of nodes and edges, and the initial width and height of a node
HierarchicalBCEngine(ArrayList<GraphNode>, ArrayList<GraphEdge>, int, int, boolean) - Constructor for class weka.gui.graphvisualizer.HierarchicalBCEngine
  Constructor - takes in FastVectors of nodes and edges, the initial width and height of a node, and a boolean value to indicate if the edges should be concentrated.
HierarchicalBCEngine() - Constructor for class weka.gui.graphvisualizer.HierarchicalBCEngine
  SimpleConstructor If we want to instantiate the class first, and if information for nodes and edges is not available.
HierarchicalClusterer - Class in weka.clusterers
  Hierarchical clustering class.
HierarchicalClusterer() - Constructor for class weka.clusterers.HierarchicalClusterer
HierarchyPropertyParser - Class in weka.gui
  This class implements a parser to read properties that have a hierarchy(i.e.
HierarchyPropertyParser() - Constructor for class weka.gui.HierarchyPropertyParser
  Default constructor
HierarchyPropertyParser(String, String) - Constructor for class weka.gui.HierarchyPropertyParser
  Constructor that builds a tree from the given property with the given delimitor
HierarchyVisualizer - Class in weka.gui.hierarchyvisualizer
HierarchyVisualizer(String) - Constructor for class weka.gui.hierarchyvisualizer.HierarchyVisualizer
highlightLastRow(int) - Method in class weka.gui.beans.InteractiveTablePanel
  Highlight the last row in the table
HillClimber - Class in weka.classifiers.bayes.net.search.global
  This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs.
HillClimber() - Constructor for class weka.classifiers.bayes.net.search.global.HillClimber
HillClimber - Class in weka.classifiers.bayes.net.search.local
  This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs.
HillClimber() - Constructor for class weka.classifiers.bayes.net.search.local.HillClimber
HINGE - Static variable in class weka.classifiers.functions.SGD
  the hinge loss function.
HINGE - Static variable in class weka.classifiers.functions.SGDText
  the hinge loss function.
HISTORY_NAME - Static variable in class weka.gui.sql.ConnectionPanel
  the name of the history.
HISTORY_NAME - Static variable in class weka.gui.sql.QueryPanel
  the name of the history.
historyChanged(HistoryChangedEvent) - Method in interface weka.gui.sql.event.HistoryChangedListener
  This method gets called when a history is modified.
historyChanged(HistoryChangedEvent) - Method in class weka.gui.sql.SqlViewer
  This method gets called when a history is modified.
HistoryChangedEvent - Class in weka.gui.sql.event
  An event that is generated when a history is modified.
HistoryChangedEvent(Object, String, DefaultListModel) - Constructor for class weka.gui.sql.event.HistoryChangedEvent
  constructs the event
HistoryChangedListener - Interface in weka.gui.sql.event
  A listener for changes in a history.
historySelected(GenericObjectEditorHistory.HistorySelectionEvent) - Method in interface weka.gui.GenericObjectEditorHistory.HistorySelectionListener
  Gets called when a history item gets selected.
hit(Rectangle, Shape, boolean) - Method in class weka.gui.visualize.PostscriptGraphics
HLINE - Static variable in class weka.gui.visualize.VisualizePanelEvent
HNode - Class in weka.classifiers.trees.ht
  Abstract base class for nodes in a Hoeffding tree
HNode() - Constructor for class weka.classifiers.trees.ht.HNode
  Construct a new HNode
HNode(Map<String, WeightMass>) - Constructor for class weka.classifiers.trees.ht.HNode
  Construct a new HNode with the supplied class distribution
hoeffdingTieThresholdTipText() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns the tip text for this property
HoeffdingTree - Class in weka.classifiers.trees
  A Hoeffding tree (VFDT) is an incremental, anytime decision tree induction algorithm that is capable of learning from massive data streams, assuming that the distribution generating examples does not change over time.
HoeffdingTree() - Constructor for class weka.classifiers.trees.HoeffdingTree
HoldOutSubsetEvaluator - Class in weka.attributeSelection
  Abstract attribute subset evaluator capable of evaluating subsets with respect to a data set that is distinct from that used to initialize/ train the subset evaluator.
HoldOutSubsetEvaluator() - Constructor for class weka.attributeSelection.HoldOutSubsetEvaluator
HostListPanel - Class in weka.gui.experiment
  This panel controls setting a list of hosts for a RemoteExperiment to use.
HostListPanel(RemoteExperiment) - Constructor for class weka.gui.experiment.HostListPanel
  Creates the host list panel with the given experiment.
HostListPanel() - Constructor for class weka.gui.experiment.HostListPanel
  Create the host list panel initially disabled.
HTML - Class in weka.classifiers.evaluation.output.prediction
  Outputs the predictions in HTML.
HTML() - Constructor for class weka.classifiers.evaluation.output.prediction.HTML
HUBER - Static variable in class weka.classifiers.functions.SGD
  The Huber loss function
hypot(double, double) - Static method in class weka.core.matrix.Maths
  sqrt(a^2 + b^2) without under/overflow.

## I

I0 - Static variable in class weka.classifiers.functions.supportVector.RegSMOImproved
I0a - Static variable in class weka.classifiers.functions.supportVector.RegSMOImproved
I0b - Static variable in class weka.classifiers.functions.supportVector.RegSMOImproved
I1 - Static variable in class weka.classifiers.functions.supportVector.RegSMOImproved
I2 - Static variable in class weka.classifiers.functions.supportVector.RegSMOImproved
I3 - Static variable in class weka.classifiers.functions.supportVector.RegSMOImproved
IBk - Class in weka.classifiers.lazy
  K-nearest neighbours classifier.
IBk(int) - Constructor for class weka.classifiers.lazy.IBk
  IBk classifier.
IBk() - Constructor for class weka.classifiers.lazy.IBk
  IB1 classifer.
ICON_PATH - Static variable in class weka.gui.beans.BeanVisual
ICSSearchAlgorithm - Class in weka.classifiers.bayes.net.search.ci
  This Bayes Network learning algorithm uses conditional independence tests to find a skeleton, finds V-nodes and applies a set of rules to find the directions of the remaining arrows.
ICSSearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
ID - Variable in class weka.gui.graphvisualizer.GraphNode
  ID and label for the node
identity(int, int) - Static method in class weka.core.matrix.Matrix
  Generate identity matrix
IDFTransformTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
IDIndexTipText() - Method in class weka.filters.unsupervised.attribute.AddID
  Returns the tip text for this property
IDLE - Static variable in class weka.gui.beans.BeanInstance
  class variable holding all the beans
IFELSE - Static variable in interface weka.core.mathematicalexpression.sym
ignoreCaseForNamesTipText() - Method in class weka.classifiers.misc.InputMappedClassifier
  Returns the tip text for this property
ignoreCaseTipText() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Returns the tip text for this property
ignoreClassTipText() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
  Returns the tip text for this property
ignored() - Method in class weka.core.xml.PropertyHandler
  returns an enumeration of the stored display names and classes of properties to ignore.
  NOTE: String and Class Objects are mixed in this enumeration, depending whether it is a global property to ignore or just one for a certain class!
ignoredAttributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.AddCluster
  Returns the tip text for this property.
ignoredAttributeIndicesTipText() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Returns the tip text for this property
ignoreRangeTipText() - Method in class weka.filters.unsupervised.attribute.MathExpression
  Returns the tip text for this property
ImageEvent - Class in weka.gui.beans
  Event that encapsulates an Image
ImageEvent(Object, BufferedImage) - Constructor for class weka.gui.beans.ImageEvent
  Construct a new ImageEvent
ImageEvent(Object, BufferedImage, String) - Constructor for class weka.gui.beans.ImageEvent
  Construct an ImageEvent
ImageListener - Interface in weka.gui.beans
  Interface to something that can process an ImageEvent
IMAGES - Static variable in class weka.gui.ComponentHelper
  the default directories for images
IMAGES_DIR - Static variable in class weka.gui.scripting.FileScriptingPanel
  the directory with the scripting-specific images.
ImageSaver - Class in weka.gui.beans
  Component that can accept ImageEvents and save their encapsulated images to a file.
ImageSaver() - Constructor for class weka.gui.beans.ImageSaver
  Constructs a new ImageSaver
ImageSaverBeanInfo - Class in weka.gui.beans
  BeanInfo class for the ImageSaver component.
ImageSaverBeanInfo() - Constructor for class weka.gui.beans.ImageSaverBeanInfo
ImageSaverCustomizer - Class in weka.gui.beans
  Customizer for the ImageSaver component.
ImageSaverCustomizer() - Constructor for class weka.gui.beans.ImageSaverCustomizer
  Constructor
ImageViewer - Class in weka.gui.beans
  A KF component that can accept imageEvent connections in order to display static images in a popup window
ImageViewer() - Constructor for class weka.gui.beans.ImageViewer
  Constructs a new ImageViewer
ImageViewerBeanInfo - Class in weka.gui.beans
  BeanInfo class for the ImageViewer component
ImageViewerBeanInfo() - Constructor for class weka.gui.beans.ImageViewerBeanInfo
Impurity - Class in weka.classifiers.trees.m5
  Class for handling the impurity values when spliting the instances
Impurity(int, int, Instances, int) - Constructor for class weka.classifiers.trees.m5.Impurity
  Constructs an Impurity object containing the impurity values of partitioning the instances using an attribute
InactiveHNode - Class in weka.classifiers.trees.ht
  Class implementing an inactive node (i.e.
InactiveHNode(Map<String, WeightMass>) - Constructor for class weka.classifiers.trees.ht.InactiveHNode
  Constructor
includeClassTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the tip text for this property
incomingInstanceToVectorFieldVals(double[]) - Method in class weka.core.pmml.VectorDictionary
  Convert an incoming instance to an array of values that corresponds to the fields referenced by the support vectors in the vector dictionary
incompleteBeta(double, double, double) - Static method in class weka.core.Statistics
  Returns the Incomplete Beta Function evaluated from zero to `xx`.
incompleteBetaFraction1(double, double, double) - Static method in class weka.core.Statistics
  Continued fraction expansion #1 for incomplete beta integral.
incompleteBetaFraction2(double, double, double) - Static method in class weka.core.Statistics
  Continued fraction expansion #2 for incomplete beta integral.
incompleteGamma(double, double) - Static method in class weka.core.Statistics
  Returns the Incomplete Gamma function.
incompleteGammaComplement(double, double) - Static method in class weka.core.Statistics
  Returns the Complemented Incomplete Gamma function.
incorrect() - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Gets the number of incorrect classifications (that is, for which an incorrect prediction was made).
incorrect() - Method in class weka.classifiers.evaluation.Evaluation
  Gets the number of instances incorrectly classified (that is, for which an incorrect prediction was made).
incorrect() - Method in class weka.classifiers.Evaluation
  Gets the number of instances incorrectly classified (that is, for which an incorrect prediction was made).
incrCoordCount() - Method in class weka.core.neighboursearch.PerformanceStats
  Increments the coordinate count (number of coordinates/attributes looked at).
increaseFontSize() - Method in class weka.gui.beans.Note
  Increase the font size by one
increaseFrequency(int) - Method in class weka.associations.Item
  Increase the frequency of this item.
increaseFrequency() - Method in class weka.associations.Item
  Increment the frequency of this item.
incremental(double, int) - Method in class weka.classifiers.trees.m5.Impurity
  Incrementally computes the impurirty values
INCREMENTAL - Static variable in interface weka.core.converters.Loader
INCREMENTAL - Static variable in interface weka.core.converters.Saver
IncrementalClassifierEvaluator - Class in weka.gui.beans
  Bean that evaluates incremental classifiers
IncrementalClassifierEvaluator() - Constructor for class weka.gui.beans.IncrementalClassifierEvaluator
IncrementalClassifierEvaluatorBeanInfo - Class in weka.gui.beans
  Bean info class for the incremental classifier evaluator bean
IncrementalClassifierEvaluatorBeanInfo() - Constructor for class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
IncrementalClassifierEvaluatorCustomizer - Class in weka.gui.beans
  GUI Customizer for the incremental classifier evaluator bean
IncrementalClassifierEvaluatorCustomizer() - Constructor for class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
IncrementalClassifierEvent - Class in weka.gui.beans
  Class encapsulating an incrementally built classifier and current instance
IncrementalClassifierEvent(Object, Classifier, Instance, int) - Constructor for class weka.gui.beans.IncrementalClassifierEvent
  Creates a new `IncrementalClassifierEvent` instance.
IncrementalClassifierEvent(Object, Classifier, Instances) - Constructor for class weka.gui.beans.IncrementalClassifierEvent
  Creates a new incremental classifier event that encapsulates header information and classifier.
IncrementalClassifierEvent(Object) - Constructor for class weka.gui.beans.IncrementalClassifierEvent
IncrementalClassifierListener - Interface in weka.gui.beans
  Interface to something that can process a IncrementalClassifierEvent
IncrementalConverter - Interface in weka.core.converters
  Marker interface for a loader/saver that can retrieve instances incrementally
IncrementalEstimator - Interface in weka.estimators
  Interface for an incremental probability estimators.
incrIntNodeCount() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Increments the internal node count.
incrLeafCount() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Increments the leaf count.
incrPointCount() - Method in class weka.core.neighboursearch.PerformanceStats
  Increments the point count (number of datapoints looked at).
index() - Method in class weka.core.Attribute
  Returns the index of this attribute.
index(int) - Method in class weka.core.DenseInstance
  Returns the index of the attribute stored at the given position.
index(int) - Method in interface weka.core.Instance
  Returns the index of the attribute stored at the given position in the sparse representation.
index(int) - Method in class weka.core.pmml.Array
  Returns the index of the value stored at the given position
index(int) - Method in class weka.core.pmml.SparseArray
  Returns the index of the value stored at the given position
index(int) - Method in class weka.core.SparseInstance
  Returns the index of the attribute stored at the given position.
INDEX_BEANCONNECTIONS - Static variable in class weka.gui.beans.xml.XMLBeans
  the index in the Vector, where the BeanConnections are stored (Instances and Connections are stored in a Vector and then serialized)
INDEX_BEANINSTANCES - Static variable in class weka.gui.beans.xml.XMLBeans
  the index in the Vector, where the BeanInstances are stored (Instances and Connections are stored in a Vector and then serialized)
indexOf(Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Searches for the first occurrence of elem.
indexOf(Object, int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Searches for the first occurrence of elem, beginning the search at index.
indexOfMax() - Method in class weka.core.matrix.DoubleVector
  Returns the index of the maximum.
indexOfValue(String) - Method in class weka.core.Attribute
  Returns the index of a given attribute value.
indexToString(int) - Static method in class weka.core.SingleIndex
  Creates a string representation of the given index.
indicesToRangeList(int[]) - Static method in class weka.core.Range
  Creates a string representation of the indices in the supplied array.
individualPredictions(Instance) - Method in class weka.classifiers.meta.MultiClassClassifier
  Returns the individual predictions of the base classifiers for an instance.
INFO - Static variable in class weka.core.Debug
  the log level Info
info(int[]) - Static method in class weka.core.Utils
  Computes entropy for an array of integers.
INFO_GAIN_SPLIT - Static variable in class weka.classifiers.trees.HoeffdingTree
infoGain() - Method in class weka.classifiers.trees.j48.BinC45Split
  Returns (C4.5-type) information gain for the generated split.
infoGain() - Method in class weka.classifiers.trees.j48.C45Split
  Returns (C4.5-type) information gain for the generated split.
InfoGainAttributeEval - Class in weka.attributeSelection
  InfoGainAttributeEval :
  Evaluates the worth of an attribute by measuring the information gain with respect to the class.
  InfoGain(Class,Attribute) = H(Class) - H(Class | Attribute).

  Valid options are:

InfoGainAttributeEval() - Constructor for class weka.attributeSelection.InfoGainAttributeEval
  Constructor
InfoGainSplitCrit - Class in weka.classifiers.trees.j48
  Class for computing the information gain for a given distribution.
InfoGainSplitCrit() - Constructor for class weka.classifiers.trees.j48.InfoGainSplitCrit
InfoGainSplitMetric - Class in weka.classifiers.trees.ht
  Implements the info gain splitting criterion
InfoGainSplitMetric(double) - Constructor for class weka.classifiers.trees.ht.InfoGainSplitMetric
InfoPanel - Class in weka.gui.sql
  A simple panel for displaying information, e.g.
InfoPanel(JFrame) - Constructor for class weka.gui.sql.InfoPanel
  creates the panel
InfoPanelCellRenderer - Class in weka.gui.sql
  A specialized renderer that takes care of JLabels in a JList.
InfoPanelCellRenderer() - Constructor for class weka.gui.sql.InfoPanelCellRenderer
  the constructor
InformationRetrievalEvaluationMetric - Interface in weka.classifiers.evaluation
  An interface for information retrieval evaluation metrics to implement.
InformationTheoreticEvaluationMetric - Interface in weka.classifiers.evaluation
  Primarily a marker interface for information theoretic evaluation metrics to implement.
Init(int, int) - Method in class weka.classifiers.bayes.net.BayesNetGenerator
  Init defines a minimal Bayes net with no arcs
init(Environment) - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Initialize this attribute spec by resolving any environment variables and setting up the date format (if necessary)
init() - Static method in class weka.gui.beans.BeanConnection
  Sets up just a single collection of bean connections in the first element of the list.
init() - Static method in class weka.gui.beans.BeanInstance
  Sets up just a single collection of bean instances in the first element of the list.
init(Environment, Instances) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Initialize this match rule by substituting any environment variables in the attributes, match and label strings.
init(Environment, Instances) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Initialize this match replace rule by substituting any environment variables in the attributes, match and replace strings.
initAsNaiveBayesTipText() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
initComponent() - Method in class weka.gui.beans.InteractiveTablePanel
  Initializes the component
initCPTs() - Method in class weka.classifiers.bayes.BayesNet
  initializes the conditional probabilities
initCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
  initCPTs reserves space for CPTs and set all counts to zero
initCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
  initCPTs reserves space for CPTs and set all counts to zero
initCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
  initCPTs reserves space for CPTs and set all counts to zero
initCPTs(BayesNet) - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
  initCPTs reserves space for CPTs and set all counts to zero
initDefaultFilters() - Static method in class weka.gui.ConverterFileChooser
  Initialize the default set of filters for loaders and savers
initFileClassIndexTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Returns the tip text for this property
initFileTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Returns the tip text for this property
initFilter(Instances) - Method in class weka.filters.unsupervised.attribute.KernelFilter
  initializes the filter with the given dataset, i.e., the kernel gets built.
INITIAL_STEP - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
initialAnchorRandomTipText() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Returns the tip text for this property.
initialCountTipText() - Method in class weka.classifiers.trees.REPTree
  Returns the tip text for this property
initializationMethodTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property.
initialize() - Method in class weka.classifiers.CostMatrix
  Initializes the matrix
initialize() - Method in class weka.classifiers.trees.j48.Distribution
  Sets all counts to zero.
initialize(int, int, int) - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
  Resets the object of split information
initialize(int, int, int) - Method in class weka.classifiers.trees.m5.YongSplitInfo
  Resets the object of split information
initialize() - Static method in class weka.core.converters.ConverterUtils
initialize(File) - Method in class weka.experiment.DatabaseUtils
  Initializes the database connection.
initialize(Properties) - Method in class weka.experiment.DatabaseUtils
  Initializes the database connection.
initialize() - Method in class weka.experiment.Experiment
  Prepares an experiment for running, initializing current iterator settings.
initialize() - Method in class weka.experiment.RemoteExperiment
  Prepares a remote experiment for running, creates sub experiments
initialize() - Method in class weka.gui.visualize.BMPWriter
  further initialization.
initialize() - Method in class weka.gui.visualize.JPEGWriter
  further initialization.
initialize() - Method in class weka.gui.visualize.PNGWriter
  further initialization.
initializeClassifier(Instances) - Method in interface weka.classifiers.IterativeClassifier
  Initializes an iterative classifier.
initializeClassifier(Instances) - Method in class weka.classifiers.meta.AdaBoostM1
  Initialize the classifier.
initializeClassifier(Instances) - Method in class weka.classifiers.meta.AdditiveRegression
  Initialize classifier.
initializeClassifier(Instances) - Method in class weka.classifiers.meta.FilteredClassifier
  Initializes an iterative classifier.
initializeClassifier(Instances) - Method in class weka.classifiers.meta.LogitBoost
  Builds the boosted classifier
initializeDistanceFunction(Instances) - Method in class weka.clusterers.Canopy
  Initialize the distance function (i.e set min/max values for numeric attributes) with the supplied instances.
initializeDown(boolean) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
initializeModel(int, double[], double[], Random) - Method in class weka.estimators.UnivariateMixtureEstimator.MM
  Initializes the model.
initializeRanges(int) - Method in class weka.core.Debug.DBO
  Initialize ranges, upper limit must be set
initializeRanges() - Method in class weka.core.NormalizableDistance
  Initializes the ranges using all instances of the dataset.
initializeRanges(int[]) - Method in class weka.core.NormalizableDistance
  Initializes the ranges of a subset of the instances of this dataset.
initializeRanges(int[], int, int) - Method in class weka.core.NormalizableDistance
  Initializes the ranges of a subset of the instances of this dataset.
initializeRangesEmpty(int, double[][]) - Method in class weka.core.NormalizableDistance
  Used to initialize the ranges.
initializeStatistics() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Triggers construction of estimator based on current data and then initializes the statistics.
initializeUp() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
initInternalFields() - Method in class weka.gui.visualize.MatrixPanel
  Initializes internal data fields, i.e.
initPMML() - Static method in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
  Initializes a PMML object with header information.
initStructure() - Method in class weka.classifiers.bayes.BayesNet
  Init structure initializes the structure to an empty graph or a Naive Bayes graph (depending on the -N flag).
InlineTable - Class in weka.core.pmml.jaxbbindings
  Java class for InlineTable element declaration.
InlineTable() - Constructor for class weka.core.pmml.jaxbbindings.InlineTable
innerProduct(DoubleVector) - Method in class weka.core.matrix.DoubleVector
  Returns the inner product of two DoubleVectors
INPUT - Static variable in class weka.classifiers.functions.neural.NeuralConnection
  This unit is an input unit.
input(Instance) - Method in class weka.filters.AllFilter
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.Filter
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.SimpleBatchFilter
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.SimpleStreamFilter
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.attribute.AttributeSelection
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.attribute.ClassOrder
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.attribute.Discretize
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.attribute.NominalToBinary
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.attribute.PartitionMembership
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.instance.Resample
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.instance.SpreadSubsample
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Add
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AddCluster
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AddExpression
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AddID
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AddNoise
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.AddValues
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Center
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Copy
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Discretize
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.FirstOrder
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.MathExpression
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.NominalToString
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Normalize
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Obfuscate
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Remove
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.RemoveType
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.RemoveUseless
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.Reorder
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
input(Instance) - Method in class weka.filters.unsupervised.attribute.Standardize
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.StringToNominal
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.attribute.SwapValues
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.Randomize
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveDuplicates
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveRange
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.Resample
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
  Input an instance for filtering.
input(Instance) - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Input an instance for filtering.
input(Instance) - Method in class weka.gui.streams.InstanceCounter
input(Instance) - Method in class weka.gui.streams.InstanceJoiner
input(Instance) - Method in class weka.gui.streams.InstanceSavePanel
input(Instance) - Method in class weka.gui.streams.InstanceTable
input(Instance) - Method in class weka.gui.streams.InstanceViewer
inputFormat(Instances) - Method in class weka.gui.streams.InstanceCounter
inputFormat(Instances) - Method in class weka.gui.streams.InstanceJoiner
  Sets the format of the input instances.
inputFormat(Instances) - Method in class weka.gui.streams.InstanceSavePanel
inputFormat(Instances) - Method in class weka.gui.streams.InstanceTable
inputFormat(Instances) - Method in class weka.gui.streams.InstanceViewer
InputMappedClassifier - Class in weka.classifiers.misc
  Wrapper classifier that addresses incompatible training and test data by building a mapping between the training data that a classifier has been built with and the incoming test instances' structure.
InputMappedClassifier() - Constructor for class weka.classifiers.misc.InputMappedClassifier
InputMappedClassifierBeanInfo - Class in weka.classifiers.misc
  Bean info class for the InputMappedClassifier.
InputMappedClassifierBeanInfo() - Constructor for class weka.classifiers.misc.InputMappedClassifierBeanInfo
inputOrderTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns the tip text for this property
inputs(Vector<Object>, Integer...) - Static method in class weka.gui.beans.BeanConnection
  Returns a vector of BeanInstances that can be considered as inputs (or the left-hand side of a sub-flow)
inputsContains(BeanInstance) - Method in class weka.gui.beans.MetaBean
inRanges(Instance, double[][]) - Method in class weka.core.NormalizableDistance
  Test if an instance is within the given ranges.
insert(int) - Method in class weka.classifiers.functions.supportVector.SMOset
  Inserts an element into the set.
insert(double, double, double) - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
  Inserts a new entry in the hashtable using the specified key.
insertAttributeAt(int) - Method in class weka.core.AbstractInstance
  Inserts an attribute at the given position (0 to numAttributes()).
insertAttributeAt(int) - Method in interface weka.core.Instance
  Inserts an attribute at the given position (0 to numAttributes()).
insertAttributeAt(Attribute, int) - Method in class weka.core.Instances
  Inserts an attribute at the given position (0 to numAttributes()) and sets all values to be missing.
insertDummyNominalFirstValueTipText() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Returns the tip text for this property
insertElementAt(E, int) - Method in class weka.core.FastVector
  Deprecated.
  Inserts an element at the given position.
insertElementAt(Object, int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Inserts the specified object as a component in this list at the specified index.
insertString(int, String, AttributeSet) - Method in class weka.gui.scripting.SyntaxDocument
  Override to apply syntax highlighting after the document has been updated.
installedPackageResourceExists(String, String) - Static method in class weka.core.WekaPackageManager
  Check if a named resource exists in an installed package
installLinearModels() - Method in class weka.classifiers.trees.m5.RuleNode
  Traverses the tree and installs linear models at each node.
installNodeNums(int) - Method in class weka.classifiers.trees.ht.HNode
installNodeNums(int) - Method in class weka.classifiers.trees.ht.SplitNode
installPackageFromArchive(String, PrintStream...) - Static method in class weka.core.WekaPackageManager
  Install a package from an archive
installPackageFromRepository(String, String, PrintStream...) - Static method in class weka.core.WekaPackageManager
  Install a named package by retrieving the location of the archive from the meta data stored in the repository
installPackageFromURL(URL, PrintStream...) - Static method in class weka.core.WekaPackageManager
  Insstall a package from the supplied URL
installPackages(List<Package>, PrintStream...) - Static method in class weka.core.WekaPackageManager
  Install the supplied list of packages
installSmoothedModels() - Method in class weka.classifiers.trees.m5.RuleNode
Instance - Interface in weka.core
  Interface representing an instance.
instance(int) - Method in class weka.core.Instances
  Returns the instance at the given position.
INSTANCE_AVAILABLE - Static variable in class weka.gui.beans.InstanceEvent
INSTANCE_AVAILABLE - Static variable in class weka.gui.streams.InstanceEvent
  Specifies that an instance is available
InstanceComparator - Class in weka.core
  A comparator for the Instance class.
InstanceComparator() - Constructor for class weka.core.InstanceComparator
  Initializes the comparator and includes the class in the comparison and all attributes included.
InstanceComparator(boolean) - Constructor for class weka.core.InstanceComparator
  Initializes the comparator with all attributes included.
InstanceComparator(boolean, String, boolean) - Constructor for class weka.core.InstanceComparator
  Initializes the comparator.
InstanceCounter - Class in weka.gui.streams
  A bean that counts instances streamed to it.
InstanceCounter() - Constructor for class weka.gui.streams.InstanceCounter
InstanceEvent - Class in weka.gui.beans
  Event that encapsulates a single instance or header information only
InstanceEvent(Object, Instance, int) - Constructor for class weka.gui.beans.InstanceEvent
  Creates a new `InstanceEvent` instance that encapsulates a single instance only.
InstanceEvent(Object, Instances) - Constructor for class weka.gui.beans.InstanceEvent
  Creates a new `InstanceEvent` instance which encapsulates header information only.
InstanceEvent(Object) - Constructor for class weka.gui.beans.InstanceEvent
InstanceEvent - Class in weka.gui.streams
  An event encapsulating an instance stream event.
InstanceEvent(Object, int) - Constructor for class weka.gui.streams.InstanceEvent
  Constructs an InstanceEvent with the specified source object and event type
InstanceField - Class in weka.core.pmml.jaxbbindings
  Java class for InstanceField element declaration.
InstanceField() - Constructor for class weka.core.pmml.jaxbbindings.InstanceField
InstanceFields - Class in weka.core.pmml.jaxbbindings
  Java class for InstanceFields element declaration.
InstanceFields() - Constructor for class weka.core.pmml.jaxbbindings.InstanceFields
InstanceInfo - Interface in weka.gui.visualize
  Interface for JFrames that display instance info.
InstanceInfoFrame - Class in weka.gui.visualize
  Frame for displaying information on the displayed data.
InstanceInfoFrame() - Constructor for class weka.gui.visualize.InstanceInfoFrame
  Initializes the frame.
InstanceJoiner - Class in weka.gui.streams
  A bean that joins two streams of instances into one.
InstanceJoiner() - Constructor for class weka.gui.streams.InstanceJoiner
  Setup the initial states of the member variables
InstanceListener - Interface in weka.gui.beans
  Interface to something that can accept instance events
InstanceListener - Interface in weka.gui.streams
  An interface for objects interested in listening to streams of instances.
InstanceLoader - Class in weka.gui.streams
  A bean that produces a stream of instances from a file.
InstanceLoader() - Constructor for class weka.gui.streams.InstanceLoader
instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceCounter
instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceJoiner
instanceProduced(InstanceEvent) - Method in interface weka.gui.streams.InstanceListener
instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceSavePanel
instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceTable
instanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceViewer
InstanceProducer - Interface in weka.gui.streams
  An interface for objects capable of producing streams of instances.
InstanceQuery - Class in weka.experiment
  Convert the results of a database query into instances.
InstanceQuery() - Constructor for class weka.experiment.InstanceQuery
  Sets up the database drivers
InstanceQueryAdapter - Interface in weka.experiment
  An interface implemented by InstanceQuery and any user class that is to be passed as the first argument to InstanceQuery.retrieveInstances(InstanceQueryAdapter, ResultSet).
instanceRangeTipText() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Returns the tip text for this property
Instances - Class in weka.core
  Class for handling an ordered set of weighted instances.
Instances(Reader) - Constructor for class weka.core.Instances
  Reads an ARFF file from a reader, and assigns a weight of one to each instance.
Instances(Reader, int) - Constructor for class weka.core.Instances
  Deprecated.
  instead of using this method in conjunction with the `readInstance(Reader)` method, one should use the `ArffLoader` or `DataSource` class instead.
Instances(Instances) - Constructor for class weka.core.Instances
  Constructor copying all instances and references to the header information from the given set of instances.
Instances(Instances, int) - Constructor for class weka.core.Instances
  Constructor creating an empty set of instances.
Instances(Instances, int, int) - Constructor for class weka.core.Instances
  Creates a new set of instances by copying a subset of another set.
Instances(String, ArrayList<Attribute>, int) - Constructor for class weka.core.Instances
  Creates an empty set of instances.
InstanceSavePanel - Class in weka.gui.streams
  A bean that saves a stream of instances to a file.
InstanceSavePanel() - Constructor for class weka.gui.streams.InstanceSavePanel
instancesIndicesTipText() - Method in class weka.filters.unsupervised.instance.RemoveRange
  Returns the tip text for this property
InstancesResultListener - Class in weka.experiment
  Outputs the received results in arff format to a Writer.
InstancesResultListener() - Constructor for class weka.experiment.InstancesResultListener
  Sets temporary file.
InstancesSummaryPanel - Class in weka.gui
  This panel just displays relation name, number of instances, and number of attributes.
InstancesSummaryPanel() - Constructor for class weka.gui.InstancesSummaryPanel
  Creates the instances panel with no initial instances.
InstanceStreamToBatchMaker - Class in weka.gui.beans
  Bean that converts an instance stream into a (batch) data set.
InstanceStreamToBatchMaker() - Constructor for class weka.gui.beans.InstanceStreamToBatchMaker
InstanceStreamToBatchMakerBeanInfo - Class in weka.gui.beans
  BeanInfo class for the InstanceStreamToBatchMaker bean
InstanceStreamToBatchMakerBeanInfo() - Constructor for class weka.gui.beans.InstanceStreamToBatchMakerBeanInfo
InstanceTable - Class in weka.gui.streams
  A bean that takes a stream of instances and displays in a table.
InstanceTable() - Constructor for class weka.gui.streams.InstanceTable
instanceToSchema(Instance, MiningSchema) - Method in class weka.core.pmml.MappingInfo
  Convert an `Instance` to an array of values that matches the format of the mining schema.
InstanceViewer - Class in weka.gui.streams
  This is a very simple instance viewer - just displays the dataset as text output as it would be written to a file.
InstanceViewer() - Constructor for class weka.gui.streams.InstanceViewer
intCount - Variable in class weka.core.AttributeStats
  The number of int-like values
INTEGER - Static variable in interface weka.core.json.sym
INTEGER - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
  cluster subtype: integer
INTEGER - Static variable in class weka.experiment.DatabaseUtils
  Type mapping for INTEGER used for reading experiment results.
InteractiveTableModel - Class in weka.gui.beans
  Table model that automatically adds a new row to the table on pressing enter in the last cell of a row.
InteractiveTableModel(String[]) - Constructor for class weka.gui.beans.InteractiveTableModel
  Constructor
InteractiveTablePanel - Class in weka.gui.beans
  Provides a panel using an interactive table model.
InteractiveTablePanel(String[]) - Constructor for class weka.gui.beans.InteractiveTablePanel
  Constructor
InteractiveTablePanel.InteractiveTableModelListener - Class in weka.gui.beans
  Listener for the InteractiveTablePanel
InteractiveTablePanel.InteractiveTableModelListener() - Constructor for class weka.gui.beans.InteractiveTablePanel.InteractiveTableModelListener
intercept() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
  Return the intercept
internalCacheSizeTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the tip text for this property
INTERPOLATIONMETHOD - Enum in weka.core.pmml.jaxbbindings
  Java class for INTERPOLATION-METHOD.
InterquartileRange - Class in weka.filters.unsupervised.attribute
  A filter for detecting outliers and extreme values based on interquartile ranges.
InterquartileRange() - Constructor for class weka.filters.unsupervised.attribute.InterquartileRange
InterquartileRange.ValueType - Enum in weka.filters.unsupervised.attribute
  enum for obtaining the various determined IQR values.
Interval - Class in weka.core.pmml.jaxbbindings
  Java class for Interval element declaration.
Interval() - Constructor for class weka.core.pmml.jaxbbindings.Interval
IntervalBasedEvaluationMetric - Interface in weka.classifiers.evaluation
  Primarily a marker interface for interval-based evaluation metrics to implement.
IntervalEstimator - Interface in weka.classifiers
  Interface for numeric prediction schemes that can output prediction intervals.
INTSparseArray - Class in weka.core.pmml.jaxbbindings
  Java class for INT-SparseArray element declaration.
INTSparseArray() - Constructor for class weka.core.pmml.jaxbbindings.INTSparseArray
IntVector - Class in weka.core.matrix
  A vector specialized on integers.
IntVector() - Constructor for class weka.core.matrix.IntVector
  Constructs a null vector.
IntVector(int) - Constructor for class weka.core.matrix.IntVector
  Constructs an n-vector of zeros.
IntVector(int, int) - Constructor for class weka.core.matrix.IntVector
  Constructs an n-vector of a constant
IntVector(int[]) - Constructor for class weka.core.matrix.IntVector
  Constructs a vector given an int array
INVALIDVALUETREATMENTMETHOD - Enum in weka.core.pmml.jaxbbindings
  Java class for INVALID-VALUE-TREATMENT-METHOD.
INVERSE - Static variable in class weka.classifiers.lazy.LWL
inverse() - Method in class weka.core.matrix.Matrix
  Matrix inverse or pseudoinverse
invertSelectionTipText() - Method in class weka.core.NormalizableDistance
  Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.supervised.attribute.Discretize
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.supervised.instance.Resample
  Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.Copy
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.MathExpression
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.Remove
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.RemoveByName
  Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.SortLabels
  Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemoveRange
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns the tip text for this property
invertSelectionTipText() - Method in class weka.filters.unsupervised.instance.Resample
  Returns the tip text for this property
invertTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Returns the tip text for this property
invoke(String, Class<?>[], Object[]) - Method in class weka.core.scripting.Groovy
  executes the specified method on the current interpreter and returns the result, if any.
invoke(Object, String, Class<?>[], Object[]) - Static method in class weka.core.scripting.Groovy
  executes the specified method and returns the result, if any.
invoke(String, Class<?>[], Object[]) - Method in class weka.core.scripting.Jython
  executes the specified method on the current interpreter and returns the result, if any.
invoke(Object, String, Class<?>[], Object[]) - Static method in class weka.core.scripting.Jython
  executes the specified method and returns the result, if any
invokeMain(String, String[]) - Static method in class weka.gui.SplashWindow
  Invokes the main method of the provided class name.
invokeMethod(String, String, String[]) - Static method in class weka.gui.SplashWindow
  Invokes the named method of the provided class name.
IRClassValueTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
  Returns the tip text for this property
is(String) - Method in class weka.core.Stopwords
  Returns true if the given string is a stop word.
IS - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
isALeaf() - Method in class weka.core.neighboursearch.balltrees.BallNode
  Returns true if the node is a leaf node (if both its left and right child are null).
isALeaf() - Method in class weka.core.neighboursearch.CoverTree.CoverTreeNode
  Returns whether if the node is a leaf or not.
isALeaf() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
  Checks if node is a leaf.
isAllowed(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
  returns whether the given property (display name) is allowed for the given class.
isAllowed(Object, String) - Method in class weka.core.xml.PropertyHandler
  returns whether the given property (display name) is allowed for the given object .
isAnonymous() - Method in class weka.core.json.JSONNode
  Checks whether the node is anonymous.
isArff(String) - Static method in class weka.core.converters.ConverterUtils.DataSource
  returns whether the extension of the location is likely to be of ARFF format, i.e., ending in ".arff" or ".arff.gz" (case-insensitive).
isArray() - Method in class weka.core.json.JSONNode
  Returns wether the node is an array.
isArray(Element) - Static method in class weka.core.pmml.Array
  Utility method to check if an XML element is an array.
isAttribute() - Method in enum weka.core.Capabilities.Capability
  returns true if the capability is an attribute
isAttributeCapability() - Method in enum weka.core.Capabilities.Capability
  returns true if the capability is an attribute capability
isAveragable() - Method in class weka.core.Attribute
  Returns whether the attribute can be averaged meaningfully.
isBoolean(int) - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Returns true if attribute is boolean
isBorderOpaque() - Method in class weka.gui.beans.ShadowBorder
  This implementation always returns true.
isBusy() - Method in class weka.gui.beans.Appender
  Returns true if.
isBusy() - Method in class weka.gui.beans.Associator
  Returns true if.
isBusy() - Method in interface weka.gui.beans.BeanCommon
  Returns true if.
isBusy() - Method in class weka.gui.beans.ClassAssigner
  Returns true if.
isBusy() - Method in class weka.gui.beans.Classifier
  Returns true if.
isBusy() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Returns true if.
isBusy() - Method in class weka.gui.beans.ClassValuePicker
  Returns true if.
isBusy() - Method in class weka.gui.beans.Clusterer
  Returns true if.
isBusy() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
  Returns true if.
isBusy() - Method in class weka.gui.beans.CostBenefitAnalysis
  Returns true if.
isBusy() - Method in class weka.gui.beans.CrossValidationFoldMaker
  Returns true if.
isBusy() - Method in class weka.gui.beans.DataVisualizer
  Returns true if.
isBusy() - Method in class weka.gui.beans.Filter
  Returns true if.
isBusy() - Method in class weka.gui.beans.FlowByExpression
isBusy() - Method in class weka.gui.beans.ImageSaver
isBusy() - Method in class weka.gui.beans.ImageViewer
isBusy() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Returns true if.
isBusy() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Returns true if.
isBusy() - Method in class weka.gui.beans.Join
  Returns true if we are doing something
isBusy() - Method in class weka.gui.beans.Loader
  Returns true if.
isBusy() - Method in class weka.gui.beans.MetaBean
  Returns true if.
isBusy() - Method in class weka.gui.beans.ModelPerformanceChart
  Returns true if.
isBusy() - Method in class weka.gui.beans.PredictionAppender
  Returns true if.
isBusy() - Method in class weka.gui.beans.Saver
  Returns true if.
isBusy() - Method in class weka.gui.beans.SerializedModelSaver
  Returns true if.
isBusy() - Method in class weka.gui.beans.Sorter
  Returns true if.
isBusy() - Method in class weka.gui.beans.StripChart
  Returns true if.
isBusy() - Method in class weka.gui.beans.SubstringLabeler
  Returns true if.
isBusy() - Method in class weka.gui.beans.SubstringReplacer
  Returns true if.
isBusy() - Method in class weka.gui.beans.TestSetMaker
  Returns true if.
isBusy() - Method in class weka.gui.beans.TextSaver
isBusy() - Method in class weka.gui.beans.TextViewer
  Returns true if.
isBusy() - Method in class weka.gui.beans.TrainingSetMaker
  Returns true if.
isBusy() - Method in class weka.gui.beans.TrainTestSplitMaker
  Returns true if.
isCellEditable(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
  returns true if the cell at rowindex and columnindexis editable
isCellEditable(int, int) - Method in class weka.gui.beans.InteractiveTableModel
isCellEditable(int, int) - Method in class weka.gui.SortedTableModel
  Returns true if the cell at rowIndex and columnIndex is editable.
isCellEditable(int, int) - Method in class weka.gui.sql.ResultSetTableModel
  returns true if the cell at rowindex and columnindexis editable.
isChanged() - Method in class weka.classifiers.bayes.net.EditableBayesNet
  return true when current state differs from the state the network was last saved
isChanged() - Method in class weka.gui.arffviewer.ArffPanel
  returns whether the content of the panel was changed
isChanged() - Method in class weka.gui.ViewerDialog
  returns whether the data has been changed
isClass() - Method in enum weka.core.Capabilities.Capability
  returns true if the capability is a class
isClassCapability() - Method in enum weka.core.Capabilities.Capability
  returns true if the capability is a other capability
isClassname(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
  tests whether the given partial string is the name of a class with classpath - it basically tests, whether the string consists only of alphanumeric literals, underscores and dots.
isConnected() - Method in class weka.experiment.DatabaseUtils
  Returns true if a database connection is active.
isConnected() - Method in class weka.gui.sql.event.ConnectionEvent
  returns whether the connection is still open.
isContinuous() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  checks, whether cluster sub type is continuous
isCoreFileLoader(String) - Static method in class weka.core.converters.ConverterUtils
  checks whether the given class is one of the hardcoded core file loaders.
isCoreFileSaver(String) - Static method in class weka.core.converters.ConverterUtils
  checks whether the given class is one of the hardcoded core file savers.
isCpuTime() - Method in class weka.core.Debug.Clock
  whether the measurement is based on the msecs returned from the System class or on the more accurate CPU time.
isCursorScrollable() - Method in class weka.experiment.DatabaseUtils
  Checks whether cursors are scrollable in general, false otherwise (also if not connected).
isCursorScrollSensitive() - Method in class weka.experiment.DatabaseUtils
  Returns whether the cursors only support forward movement or are scroll sensitive (with ResultSet.CONCUR_READ_ONLY concurrency).
isDate() - Method in class weka.core.Attribute
  Tests if the attribute is a date type.
isDelimiter(String) - Method in class weka.gui.scripting.SyntaxDocument
  Checks whether the character is a delimiter.
isEmpty() - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
  Tests if this hashtable maps no keys to values.
isEmpty() - Method in class weka.core.matrix.DoubleVector
  Checks if it is an empty vector
isEmpty() - Method in class weka.core.matrix.IntVector
  Returns true if the vector is empty
isEmpty() - Method in class weka.core.Trie
  Returns true if this collection contains no elements.
isEnabled(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
  whether the given capability is enabled.
isEnabled() - Method in class weka.core.Memory
  returns whether the memory management is enabled
isEnabledNot(Capabilities.Capability) - Method in class weka.core.FindWithCapabilities
  whether the given "not to have" capability is enabled.
isFirstBatchDone() - Method in class weka.filters.Filter
  Returns true if the first batch of instances got processed.
isFullRank() - Method in class weka.core.matrix.QRDecomposition
  Is the matrix full rank?
isGaussian() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  checks, whether cluster type is gaussian
isHidden() - Method in class weka.gui.beans.BeanConnection
  Returns true if this connection is invisible
isHierachic(String) - Method in class weka.gui.HierarchyPropertyParser
  Whether the given string has a hierachy structure with the seperators
isIgnored(String) - Method in class weka.core.xml.PropertyHandler
  checks whether the given display name is an ignored property
isIgnored(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
  checks whether the given display name of a certain class is an ignored property.
isIgnored(Object, String) - Method in class weka.core.xml.PropertyHandler
  checks whether the given display name of a given object is an ignored property.
isIncremental() - Method in class weka.core.converters.ConverterUtils.DataSource
  returns whether the loader is an incremental one.
isInDisabledList(String) - Static method in class weka.gui.beans.PluginManager
  Returns true if the supplied fully qualified class name is in the disabled list
isInitialAnchorRandom() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Gets whether if the initial anchor is chosen randomly.
isInRange(double) - Method in class weka.core.Attribute
  Determines whether a value lies within the bounds of the attribute.
isInRange(int) - Method in class weka.core.Range
  Gets whether the supplied cardinal number is included in the current range.
isInteger() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  checks, whether cluster sub type is integer
isIsIntercept() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Gets the value of the isIntercept property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.MiningModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.TextModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
  Gets the value of the isScorable property.
isIsScorable() - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Gets the value of the isScorable property.
isIsTransformed() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Gets the value of the isTransformed property.
isKeyword(String) - Method in class weka.experiment.DatabaseUtils
  Checks whether the given string is a reserved keyword.
isKOML(String) - Static method in class weka.core.xml.SerialUIDChanger
  checks whether the given filename ends with ".koml"
isLeaf() - Method in class weka.classifiers.trees.ht.HNode
  Returns true if this is a leaf
isLeaf() - Method in class weka.classifiers.trees.ht.SplitNode
isLeaf() - Method in class weka.classifiers.trees.m5.RuleNode
  Return true if this node is a leaf
isLeafReached() - Method in class weka.gui.HierarchyPropertyParser
  Whether the current position is a leaf
isMissing(int) - Method in class weka.core.AbstractInstance
  Tests if a specific value is "missing".
isMissing(Attribute) - Method in class weka.core.AbstractInstance
  Tests if a specific value is "missing".
isMissing(int) - Method in interface weka.core.Instance
  Tests if a specific value is "missing".
isMissing(Attribute) - Method in interface weka.core.Instance
  Tests if a specific value is "missing".
ISMISSING - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
isMissingAt(int, int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  checks whether the value at the given position is missing
isMissingAt(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
  checks whether the value at the given position is missing
isMissingSparse(int) - Method in class weka.core.AbstractInstance
  Tests if a specific value is "missing", given an index in the sparse representation.
isMissingSparse(int) - Method in interface weka.core.Instance
  Tests if a specific value is "missing" in the sparse representation.
isMissingValue(double) - Static method in class weka.core.Utils
  Tests if the given value codes "missing".
isModified() - Method in class weka.gui.scripting.Script
  Returns whether the script is modified.
isMonitoring() - Method in class weka.gui.MemoryUsagePanel
  Returns whether the thread is still running.
isNewBatch() - Method in class weka.filters.Filter
  Returns true if the a new batch was started, either a new instance of the filter was created or the batchFinished() method got called.
isNewer(String) - Method in class weka.core.Version
  checks whether this version is newer than the one from the given version string
isNominal() - Method in class weka.core.Attribute
  Test if the attribute is nominal.
isNominal(int) - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Returns true if attribute is nominal
isNominal() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Returns true if selection attribute is nominal.
isNominal() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns true if selection attribute is nominal.
isNonsingular() - Method in class weka.core.matrix.LUDecomposition
  Is the matrix nonsingular?
isNotificationEnabled() - Method in class weka.gui.arffviewer.ArffSortedTableModel
  returns whether the notification of changes is enabled
isNotificationEnabled() - Method in class weka.gui.arffviewer.ArffTableModel
  returns whether the notification of changes is enabled
isNullAt(int, int) - Method in class weka.gui.sql.ResultSetTableModel
  checks whether the value of the cell is NULL.
isNumeric() - Method in class weka.core.Attribute
  Tests if the attribute is numeric.
isNumeric() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns true if selection attribute is numeric.
isNumericAt(int) - Method in class weka.gui.sql.ResultSetTableModel
  returns whether the column at the given index is numeric.
isObject() - Method in class weka.core.json.JSONNode
  Returns wether the node is an object.
isOlder(String) - Method in class weka.core.Version
  checks whether this version is older than the one from the given version string
isOtherCapability() - Method in enum weka.core.Capabilities.Capability
  returns true if the capability is a class capability
isOutOfMemory() - Method in class weka.core.Memory
  checks if there's still enough memory left by checking whether there is still a 50MB margin between getUsed() and getMax().
isOutputFormatDefined() - Method in class weka.filters.Filter
  Returns whether the output format is ready to be collected
isOutputFormatDefined() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Returns whether the output format is ready to be collected
isPaintable() - Method in class weka.gui.beans.EnvironmentField
isPaintable() - Method in class weka.gui.CostMatrixEditor
  Indicates whether the object can be represented graphically.
isPaintable() - Method in class weka.gui.FileEditor
  Returns true since this editor is paintable.
isPaintable() - Method in class weka.gui.GenericArrayEditor
  Returns true to indicate that we can paint a representation of the string array.
isPaintable() - Method in class weka.gui.GenericObjectEditor
  Returns true to indicate that we can paint a representation of the Object.
isPaintable() - Method in class weka.gui.SimpleDateFormatEditor
  Indicates whether the object can be represented graphically.
isPanelSelected() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  checks whether a panel is currently selected
isPresent() - Static method in class weka.core.scripting.Groovy
  returns whether the Groovy classes are present or not, i.e.
isPresent() - Static method in class weka.core.scripting.Jython
  returns whether the Jython classes are present or not, i.e.
isPresent() - Static method in class weka.core.stemmers.SnowballStemmer
  returns whether Snowball is present or not, i.e.
isPresent() - Static method in class weka.core.xml.KOML
  returns whether KOML is present or not, i.e.
isPresent() - Static method in class weka.core.xml.XStream
  returns whether XStream is present or not, i.e.
isPrimitive() - Method in class weka.core.json.JSONNode
  Returns whether the node stores a primitive value or a an array/object.
isQuoteDelimiter(String) - Method in class weka.gui.scripting.SyntaxDocument
  Checks whether the character is quote delimiter.
isRandom() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  checks, whether cluster type is random
isReadOnly() - Method in class weka.gui.arffviewer.ArffPanel
  returns whether the model is read-only
isReadOnly() - Method in class weka.gui.arffviewer.ArffSortedTableModel
  returns whether the model is read-only
isReadOnly() - Method in class weka.gui.arffviewer.ArffTable
  returns whether the model is read-only
isReadOnly() - Method in class weka.gui.arffviewer.ArffTableModel
  returns whether the model is read-only
isRegular() - Method in class weka.core.Attribute
  Returns whether the attribute values are equally spaced.
isRelationValued() - Method in class weka.core.Attribute
  Tests if the attribute is relation valued.
isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.AveragingResultProducer
  Determines whether the results for a specified key must be generated.
isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.CSVResultListener
  Always says a result is required.
isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.DatabaseResultListener
  Always says a result is required.
isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.DatabaseResultProducer
  Determines whether the results for a specified key must be generated.
isResultRequired(ResultProducer, Object[]) - Method in class weka.experiment.LearningRateResultProducer
  Determines whether the results for a specified key must be generated.
isResultRequired(ResultProducer, Object[]) - Method in interface weka.experiment.ResultListener
  Determines whether the results for a specified key must be generated.
isRootReached() - Method in class weka.gui.HierarchyPropertyParser
  Whether the current position is the root
isRunning() - Method in class weka.core.Debug.Clock
  whether the time is still being clocked
isRunning() - Method in class weka.gui.scripting.Script
  Returns whether the script is still running.
isSaved() - Method in class weka.classifiers.bayes.net.EditableBayesNet
  indicate the network state was saved
isSerializable(String) - Static method in class weka.core.SerializationHelper
  checks whether a class is serializable.
isSerializable(Class<?>) - Static method in class weka.core.SerializationHelper
  checks whether a class is serializable.
isSorted() - Method in class weka.gui.SortedTableModel
  returns whether the table was sorted
isSparse() - Method in class weka.core.pmml.Array
  Is this array a SparseArray?
isSparse() - Method in class weka.core.pmml.SparseArray
  Overrides isSparse() in Array and always returns true.
isSPD() - Method in class weka.core.matrix.CholeskyDecomposition
  Is the matrix symmetric and positive definite?
isSquare() - Method in class weka.core.matrix.Matrix
  returns whether the matrix is a square matrix or not.
isStopword(String) - Method in class weka.core.stopwords.AbstractStopwords
  Returns true if the given string is a stop word.
isStopword(String) - Static method in class weka.core.Stopwords
  Returns true if the given string is a stop word.
isStopword(String) - Method in interface weka.core.stopwords.StopwordsHandler
  Returns true if the given string is a stop word.
isStreamableFilter() - Method in class weka.filters.MultiFilter
  tests whether all the enclosed filters are streamable
isString() - Method in class weka.core.Attribute
  Tests if the attribute is a string.
isStructureOnly() - Method in class weka.gui.beans.DataSetEvent
  Returns true if the encapsulated instances contain just header information
isStructureOnly() - Method in class weka.gui.beans.TestSetEvent
  Returns true if the encapsulated instances contain just header information
isStructureOnly() - Method in class weka.gui.beans.TrainingSetEvent
  Returns true if the encapsulated instances contain just header information
isSubclass(String, String) - Static method in class weka.core.ClassDiscovery
  Checks whether the "otherclass" is a subclass of the given "superclass".
isSubclass(Class<?>, Class<?>) - Static method in class weka.core.ClassDiscovery
  Checks whether the "otherclass" is a subclass of the given "superclass".
isSymmetric() - Method in class weka.core.Matrix
  Deprecated.
  Returns true if the matrix is symmetric.
isSymmetric() - Method in class weka.core.matrix.Matrix
  Returns true if the matrix is symmetric.
isUndoEnabled() - Method in interface weka.core.Undoable
  returns whether undo support is enabled
isUndoEnabled() - Method in class weka.gui.arffviewer.ArffPanel
  returns whether undo support is enabled
isUndoEnabled() - Method in class weka.gui.arffviewer.ArffSortedTableModel
  returns whether undo support is enabled
isUndoEnabled() - Method in class weka.gui.arffviewer.ArffTableModel
  returns whether undo support is enabled
isUniform() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  checks, whether cluster type is uniform
isUseK2Prior() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
  Returns whether K2 prior is used
isUseK2Prior() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
isUseReasonCodes() - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Gets the value of the useReasonCodes property.
isUseVariant1() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  Whether variant 1 is used
Item - Class in weka.associations
  Class that encapsulates information about an individual item.
Item(Attribute) - Constructor for class weka.associations.Item
Item - Class in weka.core.pmml.jaxbbindings
  Java class for Item element declaration.
Item() - Constructor for class weka.core.pmml.jaxbbindings.Item
itemAt(int) - Method in class weka.associations.ItemSet
  Gest the index of the value of the specified attribute
ItemRef - Class in weka.core.pmml.jaxbbindings
  Java class for ItemRef element declaration.
ItemRef() - Constructor for class weka.core.pmml.jaxbbindings.ItemRef
items() - Method in class weka.associations.ItemSet
  Gest the item set as an int array
ItemSet - Class in weka.associations
  Class for storing a set of items.
ItemSet(int) - Constructor for class weka.associations.ItemSet
  Constructor
ItemSet(int, int[]) - Constructor for class weka.associations.ItemSet
  Constructor
ItemSet(int[]) - Constructor for class weka.associations.ItemSet
  Contsructor
Itemset - Class in weka.core.pmml.jaxbbindings
  Java class for Itemset element declaration.
Itemset() - Constructor for class weka.core.pmml.jaxbbindings.Itemset
itemStateChanged(ItemEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
  Performs the action associated with the ItemEvent.
IteratedLovinsStemmer - Class in weka.core.stemmers
  An iterated version of the Lovins stemmer.
IteratedLovinsStemmer() - Constructor for class weka.core.stemmers.IteratedLovinsStemmer
IteratedSingleClassifierEnhancer - Class in weka.classifiers
  Abstract utility class for handling settings common to meta classifiers that build an ensemble from a single base learner.
IteratedSingleClassifierEnhancer() - Constructor for class weka.classifiers.IteratedSingleClassifierEnhancer
IterativeClassifier - Interface in weka.classifiers
  Interface for classifiers that can induce models of growing complexity one step at a time.
IterativeClassifierOptimizer - Class in weka.classifiers.meta
  Chooses the best number of iterations for an IterativeClassifier such as LogitBoost using cross-validation.
IterativeClassifierOptimizer() - Constructor for class weka.classifiers.meta.IterativeClassifierOptimizer
iterativeClassifierTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the tip text for this property
iterator() - Method in class weka.core.Trie
  Returns an iterator over the elements in this collection.

## J

J48 - Class in weka.classifiers.trees
  Class for generating a pruned or unpruned C4.5 decision tree.
J48() - Constructor for class weka.classifiers.trees.J48
Jaccard - Class in weka.core.pmml.jaxbbindings
  Java class for jaccard element declaration.
Jaccard() - Constructor for class weka.core.pmml.jaxbbindings.Jaccard
Javadoc - Class in weka.core
  Abstract superclass for classes that generate Javadoc comments and replace the content between certain comment tags.
Javadoc() - Constructor for class weka.core.Javadoc
JComponentWriter - Class in weka.gui.visualize
  This class takes any JComponent and outputs it to a file.
JComponentWriter() - Constructor for class weka.gui.visualize.JComponentWriter
  initializes the object
JComponentWriter(JComponent) - Constructor for class weka.gui.visualize.JComponentWriter
  initializes the object with the given Component
JComponentWriter(JComponent, File) - Constructor for class weka.gui.visualize.JComponentWriter
  initializes the object with the given Component and filename
JListHelper - Class in weka.gui
  A helper class for JList GUI elements with DefaultListModel or derived models.
JListHelper() - Constructor for class weka.gui.JListHelper
Join - Class in weka.gui.beans
Join() - Constructor for class weka.gui.beans.Join
  Constructor
JoinBeanInfo - Class in weka.gui.beans
  BeanInfo for the Join step
JoinBeanInfo() - Constructor for class weka.gui.beans.JoinBeanInfo
JoinCustomizer - Class in weka.gui.beans
  Customizer component for the Join step
JoinCustomizer() - Constructor for class weka.gui.beans.JoinCustomizer
joinOptions(String[]) - Static method in class weka.core.Utils
  Joins all the options in an option array into a single string, as might be used on the command line.
JPEGWriter - Class in weka.gui.visualize
  This class takes any JComponent and outputs it to a JPEG-file.
JPEGWriter() - Constructor for class weka.gui.visualize.JPEGWriter
  initializes the object.
JPEGWriter(JComponent) - Constructor for class weka.gui.visualize.JPEGWriter
  initializes the object with the given Component.
JPEGWriter(JComponent, File) - Constructor for class weka.gui.visualize.JPEGWriter
  initializes the object with the given Component and filename.
JRip - Class in weka.classifiers.rules
  This class implements a propositional rule learner, Repeated Incremental Pruning to Produce Error Reduction (RIPPER), which was proposed by William W.
JRip() - Constructor for class weka.classifiers.rules.JRip
JRip.Antd - Class in weka.classifiers.rules
  The single antecedent in the rule, which is composed of an attribute and the corresponding value.
JRip.Antd(Attribute) - Constructor for class weka.classifiers.rules.JRip.Antd
  Constructor
JRip.NominalAntd - Class in weka.classifiers.rules
  The antecedent with nominal attribute
JRip.NominalAntd(Attribute) - Constructor for class weka.classifiers.rules.JRip.NominalAntd
  Constructor
JRip.NumericAntd - Class in weka.classifiers.rules
  The antecedent with numeric attribute
JRip.NumericAntd(Attribute) - Constructor for class weka.classifiers.rules.JRip.NumericAntd
  Constructor
JRip.RipperRule - Class in weka.classifiers.rules
  This class implements a single rule that predicts specified class.
JRip.RipperRule() - Constructor for class weka.classifiers.rules.JRip.RipperRule
  Constructor
JSONInstances - Class in weka.core.json
  Class for transforming Instances objects into JSON objects and vice versa.
JSONInstances() - Constructor for class weka.core.json.JSONInstances
JSONLoader - Class in weka.core.converters
  Reads a source that is in the JSON format.
  It automatically decompresses the data if the extension is '.json.gz'.
  For more information, see JSON homepage:
  http://www.json.org/

JSONLoader() - Constructor for class weka.core.converters.JSONLoader
JSONNode - Class in weka.core.json
  Container class for storing a JSON data structure.
JSONNode() - Constructor for class weka.core.json.JSONNode
  Initializes the root container.
JSONNode(String, Boolean) - Constructor for class weka.core.json.JSONNode
  Initializes the primitive container.
JSONNode(String, Integer) - Constructor for class weka.core.json.JSONNode
  Initializes the primitive container.
JSONNode(String, Double) - Constructor for class weka.core.json.JSONNode
  Initializes the primitive container.
JSONNode(String, String) - Constructor for class weka.core.json.JSONNode
  Initializes the primitive container.
JSONNode.NodeType - Enum in weka.core.json
  The type of a node.
JSONSaver - Class in weka.core.converters
  Writes to a destination that is in JSON format.
  The data can be compressed with gzip, in order to save space.
  For more information, see JSON homepage:
  http://www.json.org/

  Valid options are:

JSONSaver() - Constructor for class weka.core.converters.JSONSaver
  Constructor.
JTableHelper - Class in weka.gui
  A helper class for JTable, e.g.
JTableHelper(JTable) - Constructor for class weka.gui.JTableHelper
  initializes the object
Jython - Class in weka.core.scripting
  A helper class for Jython.
Jython() - Constructor for class weka.core.scripting.Jython
  default constructor, tries to instantiate a Python Interpreter
JythonObject - Interface in weka.core.scripting
  An indicator interface for Jython objects.
JythonPanel - Class in weka.gui.scripting
  A scripting panel for Jython.
JythonPanel() - Constructor for class weka.gui.scripting.JythonPanel
JythonScript - Class in weka.gui.scripting
  Represents a Jython script.
JythonScript() - Constructor for class weka.gui.scripting.JythonScript
  Initializes the script.
JythonScript(Document) - Constructor for class weka.gui.scripting.JythonScript
  Initializes the script.
JythonScript(Document, File) - Constructor for class weka.gui.scripting.JythonScript
  Initializes the script.
JythonScript.JythonThread - Class in weka.gui.scripting
  Executes a Jython script in a thread.
JythonScript.JythonThread(Script, String[]) - Constructor for class weka.gui.scripting.JythonScript.JythonThread
  Initializes the thread.
JythonSerializableObject - Interface in weka.core.scripting
  An indicator interface for serializable Jython objects.

## K

K2 - Class in weka.classifiers.bayes.net.search.global
  This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables.
  For more information see:
  G.F.
K2() - Constructor for class weka.classifiers.bayes.net.search.global.K2
K2 - Class in weka.classifiers.bayes.net.search.local
  This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables.
  For more information see:
  G.F.
K2() - Constructor for class weka.classifiers.bayes.net.search.local.K2
kappa() - Method in class weka.classifiers.evaluation.Evaluation
  Returns value of kappa statistic if class is nominal.
kappa() - Method in class weka.classifiers.Evaluation
  Returns value of kappa statistic if class is nominal.
KBInformation() - Method in class weka.classifiers.evaluation.Evaluation
  Return the total Kononenko & Bratko Information score in bits.
KBInformation() - Method in class weka.classifiers.Evaluation
  Return the total Kononenko & Bratko Information score in bits.
KBMeanInformation() - Method in class weka.classifiers.evaluation.Evaluation
  Return the Kononenko & Bratko Information score in bits per instance.
KBMeanInformation() - Method in class weka.classifiers.Evaluation
  Return the Kononenko & Bratko Information score in bits per instance.
KBRelativeInformation() - Method in class weka.classifiers.evaluation.Evaluation
  Return the Kononenko & Bratko Relative Information score.
KBRelativeInformation() - Method in class weka.classifiers.Evaluation
  Return the Kononenko & Bratko Relative Information score.
KDConditionalEstimator - Class in weka.estimators
  Conditional probability estimator for a numeric domain conditional upon a discrete domain (utilises separate kernel estimators for each discrete conditioning value).
KDConditionalEstimator(int, double) - Constructor for class weka.estimators.KDConditionalEstimator
  Constructor
KDDataGenerator - Class in weka.gui.boundaryvisualizer
  KDDataGenerator.
KDDataGenerator() - Constructor for class weka.gui.boundaryvisualizer.KDDataGenerator
KDTree - Class in weka.core.neighboursearch
  Class implementing the KDTree search algorithm for nearest neighbour search.
  The connection to dataset is only a reference.
KDTree() - Constructor for class weka.core.neighboursearch.KDTree
  Creates a new instance of KDTree.
KDTree(Instances) - Constructor for class weka.core.neighboursearch.KDTree
  Creates a new instance of KDTree.
KDTreeNode - Class in weka.core.neighboursearch.kdtrees
  A class representing a KDTree node.
KDTreeNode() - Constructor for class weka.core.neighboursearch.kdtrees.KDTreeNode
  Constructor.
KDTreeNode(int, int, int, double[][]) - Constructor for class weka.core.neighboursearch.kdtrees.KDTreeNode
  Constructor.
KDTreeNode(int, int, int, double[][], double[][]) - Constructor for class weka.core.neighboursearch.kdtrees.KDTreeNode
KDTreeNodeSplitter - Class in weka.core.neighboursearch.kdtrees
  Class that splits up a KDTreeNode.
KDTreeNodeSplitter() - Constructor for class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  default constructor.
KDTreeNodeSplitter(int[], Instances, EuclideanDistance) - Constructor for class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Creates a new instance of KDTreeNodeSplitter.
Kernel - Class in weka.classifiers.functions.supportVector
  Abstract kernel.
Kernel() - Constructor for class weka.classifiers.functions.supportVector.Kernel
KernelEstimator - Class in weka.estimators
  Simple kernel density estimator.
KernelEstimator(double) - Constructor for class weka.estimators.KernelEstimator
  Constructor that takes a precision argument.
KernelEvaluation - Class in weka.classifiers.functions.supportVector
  Class for evaluating Kernels.
KernelEvaluation() - Constructor for class weka.classifiers.functions.supportVector.KernelEvaluation
  default constructor
kernelFactorExpressionTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Returns the tip text for this property
KernelFilter - Class in weka.filters.unsupervised.attribute
  Converts the given set of predictor variables into a kernel matrix.
KernelFilter() - Constructor for class weka.filters.unsupervised.attribute.KernelFilter
kernelMatrixFileTipText() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Returns the tip text for this property
kernelTipText() - Method in class weka.classifiers.functions.GaussianProcesses
  Returns the tip text for this property
kernelTipText() - Method in class weka.classifiers.functions.SMO
  Returns the tip text for this property
kernelTipText() - Method in class weka.classifiers.functions.SMOreg
  Returns the tip text for this property
kernelTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Returns the tip text for this property
key - Variable in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
  attribute value
keyFieldNameTipText() - Method in class weka.experiment.AveragingResultProducer
  Returns the tip text for this property
keys() - Method in class weka.core.xml.MethodHandler
  returns an enumeration over all currently stored custom methods, i.e.
keysTipText() - Method in class weka.core.converters.DatabaseLoader
  the tip text for this property
KFIgnore - Annotation Type in weka.gui.beans
  Marker annotation.
KFMetaStore - Interface in weka.gui.beans
  Interface for Knowledge Flow metastore implementations.
kFoldCV(BayesNet, int) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  kFoldCV uses k-fold cross validation to measure the accuracy of a Bayes network classifier.
KFStep - Annotation Type in weka.gui.beans
  Optional annotation for plugin beans in the Knowledge Flow.
KKConditionalEstimator - Class in weka.estimators
  Conditional probability estimator for a numeric domain conditional upon a numeric domain.
KKConditionalEstimator(double) - Constructor for class weka.estimators.KKConditionalEstimator
  Constructor
KMEANS_PLUS_PLUS - Static variable in class weka.clusterers.SimpleKMeans
KMeansInpiredMethod - Class in weka.core.neighboursearch.kdtrees
  The class that splits a node into two such that the overall sum of squared distances of points to their centres on both sides of the (axis-parallel) splitting plane is minimum.
  For more information see also:
  Ashraf Masood Kibriya (2007).
KMeansInpiredMethod() - Constructor for class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
kNearestNeighbours(Instance, int) - Method in class weka.core.neighboursearch.BallTree
  Returns k nearest instances in the current neighbourhood to the supplied instance.
kNearestNeighbours(Instance, int) - Method in class weka.core.neighboursearch.CoverTree
  Returns k-NNs of a given target instance, from among the previously supplied training instances (supplied through setInstances method) P.S.: May return more than k-NNs if more one instances have the same distance to the target as the kth NN.
kNearestNeighbours(Instance, int) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Returns the nearest neighbours for the given instance based on distance measured in the filtered space.
kNearestNeighbours(Instance, int) - Method in class weka.core.neighboursearch.KDTree
  Returns the k nearest neighbours of the supplied instance.
kNearestNeighbours(Instance, int) - Method in class weka.core.neighboursearch.LinearNNSearch
  Returns k nearest instances in the current neighbourhood to the supplied instance.
kNearestNeighbours(Instance, int) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Returns k nearest instances in the current neighbourhood to the supplied instance.
KNNInput - Class in weka.core.pmml.jaxbbindings
  Java class for KNNInput element declaration.
KNNInput() - Constructor for class weka.core.pmml.jaxbbindings.KNNInput
KNNInputs - Class in weka.core.pmml.jaxbbindings
  Java class for KNNInputs element declaration.
KNNInputs() - Constructor for class weka.core.pmml.jaxbbindings.KNNInputs
KNNTipText() - Method in class weka.classifiers.lazy.IBk
  Returns the tip text for this property.
KNNTipText() - Method in class weka.classifiers.lazy.LWL
  Returns the tip text for this property.
KnowledgeFlow - Class in weka.gui.beans
  Startup class for the KnowledgeFlow.
KnowledgeFlow() - Constructor for class weka.gui.beans.KnowledgeFlow
KnowledgeFlowApp - Class in weka.gui.beans
  Main GUI class for the KnowledgeFlow.
KnowledgeFlowApp(boolean) - Constructor for class weka.gui.beans.KnowledgeFlowApp
  Creates a new `KnowledgeFlowApp` instance.
KnowledgeFlowApp.KFPerspective - Interface in weka.gui.beans
  Interface for perspectives.
KnowledgeFlowApp.MainKFPerspective - Class in weka.gui.beans
  Main Knowledge Flow perspective
KnowledgeFlowApp.MainKFPerspective() - Constructor for class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
KohonenMap - Class in weka.core.pmml.jaxbbindings
  Java class for KohonenMap element declaration.
KohonenMap() - Constructor for class weka.core.pmml.jaxbbindings.KohonenMap
KOML - Class in weka.core.xml
  This class is a helper class for XML serialization using KOML .
KOML() - Constructor for class weka.core.xml.KOML
komlToBinary(String, String) - Static method in class weka.core.xml.SerialUIDChanger
  converts a KOML file into a binary one
KOMLV - Static variable in class weka.gui.beans.SerializedModelSaver
KStar - Class in weka.classifiers.lazy
  K* is an instance-based classifier, that is the class of a test instance is based upon the class of those training instances similar to it, as determined by some similarity function.
KStar() - Constructor for class weka.classifiers.lazy.KStar
KStarCache - Class in weka.classifiers.lazy.kstar
  A class representing the caching system used to keep track of each attribute value and its corresponding scale factor or stop parameter.
KStarCache() - Constructor for class weka.classifiers.lazy.kstar.KStarCache
KStarCache.CacheTable - Class in weka.classifiers.lazy.kstar
  A custom hashtable class to support the caching system.
KStarCache.CacheTable(int, float) - Constructor for class weka.classifiers.lazy.kstar.KStarCache.CacheTable
  Constructs a new hashtable with a default capacity and load factor.
KStarCache.CacheTable() - Constructor for class weka.classifiers.lazy.kstar.KStarCache.CacheTable
  Constructs a new hashtable with a default capacity and load factor.
KStarCache.TableEntry - Class in weka.classifiers.lazy.kstar
  Hashtable collision list.
KStarCache.TableEntry(int, double, double, double, KStarCache.TableEntry) - Constructor for class weka.classifiers.lazy.kstar.KStarCache.TableEntry
  Constructor
KStarConstants - Interface in weka.classifiers.lazy.kstar
KStarNominalAttribute - Class in weka.classifiers.lazy.kstar
  A custom class which provides the environment for computing the transformation probability of a specified test instance nominal attribute to a specified train instance nominal attribute.
KStarNominalAttribute(Instance, Instance, int, Instances, int[][], KStarCache) - Constructor for class weka.classifiers.lazy.kstar.KStarNominalAttribute
  Constructor
KStarNumericAttribute - Class in weka.classifiers.lazy.kstar
  A custom class which provides the environment for computing the transformation probability of a specified test instance numeric attribute to a specified train instance numeric attribute.
KStarNumericAttribute(Instance, Instance, int, Instances, int[][], KStarCache) - Constructor for class weka.classifiers.lazy.kstar.KStarNumericAttribute
  Constructor
KStarWrapper - Class in weka.classifiers.lazy.kstar
KStarWrapper() - Constructor for class weka.classifiers.lazy.kstar.KStarWrapper
kthSmallestValue(Attribute, int) - Method in class weka.core.Instances
  Returns the kth-smallest attribute value of a numeric attribute.
kthSmallestValue(int, int) - Method in class weka.core.Instances
  Returns the kth-smallest attribute value of a numeric attribute.
kthSmallestValue(int[], int) - Static method in class weka.core.Utils
  Returns the kth-smallest value in the array.
kthSmallestValue(double[], int) - Static method in class weka.core.Utils
  Returns the kth-smallest value in the array
KValueTipText() - Method in class weka.classifiers.trees.RandomTree
  Returns the tip text for this property

## L

LabeledItemSet - Class in weka.associations
  Class for storing a set of items together with a class label.
LabeledItemSet(int, int) - Constructor for class weka.associations.LabeledItemSet
  Constructor
LABELS - Static variable in class weka.core.json.JSONInstances
  the labels attribute.
labelsTipText() - Method in class weka.filters.unsupervised.attribute.AddValues
  Returns the tip text for this property
labelTipText() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Returns the tip text for this property.
LAGDHillClimber - Class in weka.classifiers.bayes.net.search.local
  This Bayes Network learning algorithm uses a Look Ahead Hill Climbing algorithm called LAGD Hill Climbing.
LAGDHillClimber() - Constructor for class weka.classifiers.bayes.net.search.local.LAGDHillClimber
lambdaTipText() - Method in class weka.classifiers.functions.SGD
  Returns the tip text for this property
lambdaTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
lambdaTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the tip text for this property
laplaceProb(int) - Method in class weka.classifiers.trees.j48.Distribution
  Returns relative frequency of class over all bags with Laplace correction.
laplaceProb(int, int) - Method in class weka.classifiers.trees.j48.Distribution
  Returns relative frequency of class for given bag.
last() - Method in class weka.core.neighboursearch.covertrees.Stack
  Returns the last element in the stack.
LAST - Static variable in class weka.filters.unsupervised.attribute.ClassAssigner
  use the last attribute as class.
lastActionMsg() - Method in class weka.classifiers.bayes.net.EditableBayesNet
  get message representing the last action performed on the network
lastElement() - Method in class weka.core.FastVector
  Deprecated.
  Returns the last element of the vector.
lastElement() - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Returns the last component of the list.
lastIndexOf(Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Returns the index of the last occurrence of elem.
lastIndexOf(Object, int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Searches backwards for elem, starting from the specified index, and returns an index to it.
lastInstance() - Method in class weka.core.Instances
  Returns the last instance in the set.
launch() - Method in interface weka.gui.explorer.ClassifierPanelLaunchHandlerPlugin
  Gets called when the user clicks the button or selects this plugin's entry from the popup menu.
launch() - Method in interface weka.gui.explorer.ClustererPanelLaunchHandlerPlugin
  Gets called when the user clicks the button or selects this plugin's entry from the popup menu.
launchNext(int, int) - Method in class weka.experiment.RemoteExperiment
  Launch a sub experiment on a remote host
layoutCompleted(LayoutCompleteEvent) - Method in class weka.classifiers.bayes.net.GUI
  This method is an implementation for LayoutCompleteEventListener class.
layoutCompleted(LayoutCompleteEvent) - Method in class weka.gui.graphvisualizer.GraphVisualizer
  This method is an implementation for LayoutCompleteEventListener class.
layoutCompleted(LayoutCompleteEvent) - Method in interface weka.gui.graphvisualizer.LayoutCompleteEventListener
LayoutCompleteEvent - Class in weka.gui.graphvisualizer
  This is an event which is fired by a LayoutEngine once a LayoutEngine finishes laying out the graph, so that the Visualizer can repaint the screen to show the changes.
LayoutCompleteEvent(Object) - Constructor for class weka.gui.graphvisualizer.LayoutCompleteEvent
LayoutCompleteEventListener - Interface in weka.gui.graphvisualizer
  This interface should be implemented by any class which needs to receive LayoutCompleteEvents from the LayoutEngine.
LayoutEngine - Interface in weka.gui.graphvisualizer
  This interface class has been added to facilitate the addition of other layout engines to this package.
layoutGraph(ArrayList<Integer>, ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  set positions of all nodes
layoutGraph() - Method in class weka.gui.graphvisualizer.GraphVisualizer
  This method lays out the graph by calling the LayoutEngine's layoutGraph() method.
layoutGraph() - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
  This method does a complete layout of the graph which includes removing cycles, assigning levels to nodes, reducing edge crossings and laying out the vertices horizontally for better visibility.
layoutGraph() - Method in interface weka.gui.graphvisualizer.LayoutEngine
  This method lays out the graph for better visualization
lbl - Variable in class weka.gui.graphvisualizer.GraphNode
  ID and label for the node
LCURLY - Static variable in interface weka.core.json.sym
LE - Static variable in interface weka.core.mathematicalexpression.sym
LE - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
LEAF_MAJ_CLASS - Static variable in class weka.classifiers.trees.HoeffdingTree
LEAF_NB - Static variable in class weka.classifiers.trees.HoeffdingTree
LEAF_NB_ADAPTIVE - Static variable in class weka.classifiers.trees.HoeffdingTree
leafForInstance(Instance, SplitNode, String) - Method in class weka.classifiers.trees.ht.HNode
  Return the leaf that the supplied instance ends up at
leafForInstance(Instance, SplitNode, String) - Method in class weka.classifiers.trees.ht.SplitNode
LeafNode - Class in weka.classifiers.trees.ht
  Leaf node in a HoeffdingTree
LeafNode() - Constructor for class weka.classifiers.trees.ht.LeafNode
  Construct an empty leaf node
LeafNode(HNode, SplitNode, String) - Constructor for class weka.classifiers.trees.ht.LeafNode
  Construct a leaf node with the given actual node, parent and parent branch
leafPredictionStrategyTipText() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns the tip text for this property
LearningNode - Interface in weka.classifiers.trees.ht
  Marker interface for a node that can be updated with incoming instances in a HoeffdingTree.
LearningRateResultProducer - Class in weka.experiment
  Tells a sub-ResultProducer to reproduce the current run for varying sized subsamples of the dataset.
LearningRateResultProducer() - Constructor for class weka.experiment.LearningRateResultProducer
learningRateTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
learningRateTipText() - Method in class weka.classifiers.functions.SGD
  Returns the tip text for this property
learningRateTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
leaveOneOutCV(BayesNet) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  LeaveOneOutCV returns the accuracy calculated using Leave One Out cross validation.
LED24 - Class in weka.datagenerators.classifiers.classification
  This generator produces data for a display with 7 LEDs.
LED24() - Constructor for class weka.datagenerators.classifiers.classification.LED24
  initializes the generator with default values
LEFT_PARENTHESES - Variable in class weka.experiment.ResultMatrix
  the left parentheses for enumerating cols/rows.
leftNode() - Method in class weka.classifiers.trees.m5.RuleNode
  Get the left child of this node
leftSide(Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
  Prints left side of condition.
leftSide(Instances) - Method in class weka.classifiers.trees.j48.C45Split
  Prints left side of condition..
leftSide(Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Prints left side of condition satisfied by instances.
leftSide(Instances) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Does nothing because no condition has to be satisfied.
leftSide(Instances) - Method in class weka.classifiers.trees.j48.NBTreeSplit
  Prints left side of condition..
leftSide(Instances) - Method in class weka.classifiers.trees.j48.NoSplit
  Does nothing because no condition has to be satisfied.
leftSide(Instances) - Method in class weka.classifiers.trees.lmt.ResidualSplit
  Returns name of splitting attribute (left side of condition).
LegendPanel - Class in weka.gui.visualize
  This panel displays legends for a list of plots.
LegendPanel() - Constructor for class weka.gui.visualize.LegendPanel
  Constructor
length - Variable in class weka.core.neighboursearch.covertrees.Stack
  The number of elements in the stack.
Level - Class in weka.core.pmml.jaxbbindings
  Java class for Level element declaration.
Level() - Constructor for class weka.core.pmml.jaxbbindings.Level
leverageForRule(AprioriItemSet, AprioriItemSet, int, int) - Method in class weka.associations.AprioriItemSet
  Outputs the leverage for a rule.
LibSVMLoader - Class in weka.core.converters
  Reads a source that is in libsvm format.
  For more information about libsvm see:
  http://www.csie.ntu.edu.tw/~cjlin/libsvm/

LibSVMLoader() - Constructor for class weka.core.converters.LibSVMLoader
LibSVMSaver - Class in weka.core.converters
  Writes to a destination that is in libsvm format.
  For more information about libsvm see:
  http://www.csie.ntu.edu.tw/~cjlin/libsvm/

  Valid options are:

LibSVMSaver() - Constructor for class weka.core.converters.LibSVMSaver
  Constructor
LIFT_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: Lift
LiftData - Class in weka.core.pmml.jaxbbindings
  Java class for LiftData element declaration.
LiftData() - Constructor for class weka.core.pmml.jaxbbindings.LiftData
liftForRule(AprioriItemSet, AprioriItemSet, int) - Method in class weka.associations.AprioriItemSet
  Outputs the lift for a rule.
LiftGraph - Class in weka.core.pmml.jaxbbindings
  Java class for LiftGraph element declaration.
LiftGraph() - Constructor for class weka.core.pmml.jaxbbindings.LiftGraph
likelihoodThresholdTipText() - Method in class weka.classifiers.meta.LogitBoost
  Returns the tip text for this property
LINE - Static variable in class weka.gui.visualize.VisualizePanelEvent
LINEAR - Static variable in class weka.classifiers.lazy.LWL
  The available kernel weighting methods.
LinearKernelType - Class in weka.core.pmml.jaxbbindings
  Java class for LinearKernelType element declaration.
LinearKernelType() - Constructor for class weka.core.pmml.jaxbbindings.LinearKernelType
LinearNNSearch - Class in weka.core.neighboursearch
  Class implementing the brute force search algorithm for nearest neighbour search.
LinearNNSearch() - Constructor for class weka.core.neighboursearch.LinearNNSearch
  Constructor.
LinearNNSearch(Instances) - Constructor for class weka.core.neighboursearch.LinearNNSearch
  Constructor that uses the supplied set of instances.
LinearNorm - Class in weka.core.pmml.jaxbbindings
  Java class for LinearNorm element declaration.
LinearNorm() - Constructor for class weka.core.pmml.jaxbbindings.LinearNorm
LinearRegression - Class in weka.classifiers.functions
  Class for using linear regression for prediction.
LinearRegression() - Constructor for class weka.classifiers.functions.LinearRegression
LinearRegression - Class in weka.core.matrix
  Class for performing (ridged) linear regression using Tikhonov regularization.
LinearRegression(Matrix, Matrix, double) - Constructor for class weka.core.matrix.LinearRegression
  Performs a (ridged) linear regression.
LinearRegression(Matrix, Matrix, double[], double) - Constructor for class weka.core.matrix.LinearRegression
  Performs a weighted (ridged) linear regression.
LinearUnit - Class in weka.classifiers.functions.neural
  This can be used by the neuralnode to perform all it's computations (as a Linear unit).
LinearUnit() - Constructor for class weka.classifiers.functions.neural.LinearUnit
lineWrap(String, int) - Static method in class weka.core.Utils
  Implements simple line breaking.
LINKFUNCTION - Enum in weka.core.pmml.jaxbbindings
  Java class for LINK-FUNCTION.
linkTypeTipText() - Method in class weka.clusterers.HierarchicalClusterer
LINUX_BROWSERS - Static variable in class weka.gui.BrowserHelper
  Linux/Unix binaries to look for
listCapabilities(Capabilities) - Static method in class weka.gui.PropertySheetPanel
  returns a comma-separated list of all the capabilities.
listMetaStoreEntries(String) - Method in interface weka.gui.beans.KFMetaStore
  Get a list of all entries in a named store
listMetaStoreEntries(String, String) - Method in interface weka.gui.beans.KFMetaStore
  Get a list of all named entries starting with the given prefix
listMetaStoreEntries(String) - Method in class weka.gui.beans.XMLFileBasedKFMetaStore
listMetaStoreEntries(String, String) - Method in class weka.gui.beans.XMLFileBasedKFMetaStore
listMetaStores() - Method in interface weka.gui.beans.KFMetaStore
  Get a list of all named meta stores
listMetaStores() - Method in class weka.gui.beans.XMLFileBasedKFMetaStore
listOptions() - Method in class weka.associations.Apriori
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.associations.CheckAssociator
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.associations.FilteredAssociator
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.associations.FPGrowth
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.associations.SingleAssociatorEnhancer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.BestFirst
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.CfsSubsetEval
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.CheckAttributeSelection
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.CorrelationAttributeEval
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.GainRatioAttributeEval
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.GreedyStepwise
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.InfoGainAttributeEval
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.OneRAttributeEval
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.PrincipalComponents
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.Ranker
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.attributeSelection.WrapperSubsetEval
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.AbstractClassifier
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.BayesNet
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.NaiveBayes
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.K2
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.global.TAN
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.K2
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.local.TAN
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.BVDecompose
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.CheckClassifier
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.CheckSource
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns an enumeration of all the available options..
listOptions() - Method in class weka.classifiers.evaluation.output.prediction.CSV
  Returns an enumeration of all the available options..
listOptions() - Method in class weka.classifiers.functions.GaussianProcesses
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.LinearRegression
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.Logistic
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.functions.MultilayerPerceptron
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.SGD
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.SGDText
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.SimpleLinearRegression
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.SMO
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.SMOreg
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.CachedKernel
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.CheckKernel
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.Kernel
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.Puk
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.RBFKernel
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  Gets an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.supportVector.RegSMO
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.functions.VotedPerceptron
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.lazy.IBk
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.lazy.KStar
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.lazy.LWL
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.AdaBoostM1
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.AdditiveRegression
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.Bagging
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.CVParameterSelection
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.FilteredClassifier
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.LogitBoost
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.MultiClassClassifier
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.meta.MultiScheme
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.RandomSubSpace
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.Stacking
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.meta.Vote
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.misc.InputMappedClassifier
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.misc.SerializedClassifier
  Gets an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.MultipleClassifiersCombiner
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.RandomizableClassifier
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.rules.DecisionTable
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.rules.JRip
  Returns an enumeration describing the available options Valid options are:
listOptions() - Method in class weka.classifiers.rules.OneR
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.classifiers.rules.PART
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.SingleClassifierEnhancer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.trees.J48
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.trees.LMT
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.trees.m5.M5Base
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.trees.M5P
  Returns an enumeration describing the available options
listOptions() - Method in class weka.classifiers.trees.RandomForest
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.classifiers.trees.RandomTree
  Lists the command-line options for this classifier.
listOptions() - Method in class weka.classifiers.trees.REPTree
  Lists the command-line options for this classifier.
listOptions() - Method in class weka.clusterers.AbstractClusterer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.Canopy
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.CheckClusterer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.Cobweb
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.EM
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.FarthestFirst
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.FilteredClusterer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.HierarchicalClusterer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.MakeDensityBasedClusterer
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.clusterers.RandomizableClusterer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.RandomizableDensityBasedClusterer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.SimpleKMeans
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.clusterers.SingleClustererEnhancer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.Check
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.CheckGOE
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.CheckOptionHandler
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.CheckScheme
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.AbstractFileSaver
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.ArffSaver
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.C45Saver
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.CSVLoader
listOptions() - Method in class weka.core.converters.CSVSaver
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.DatabaseLoader
  Lists the available options
listOptions() - Method in class weka.core.converters.DatabaseSaver
  Lists the available options.
listOptions() - Method in class weka.core.converters.JSONSaver
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.LibSVMSaver
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.MatlabSaver
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.SVMLightSaver
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.converters.TextDirectoryLoader
  Lists the available options
listOptions() - Method in class weka.core.converters.XRFFSaver
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.FilteredDistance
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.FindWithCapabilities
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.Javadoc
  Returns an enumeration describing the available options.
ListOptions - Class in weka.core
  Lists the options of an OptionHandler
ListOptions() - Constructor for class weka.core.ListOptions
listOptions() - Method in class weka.core.ListOptions
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.MinkowskiDistance
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.BallTree
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.balltrees.BallSplitter
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.CoverTree
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.KDTree
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.LinearNNSearch
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.NormalizableDistance
  Returns an enumeration describing the available options.
listOptions() - Method in interface weka.core.OptionHandler
  Returns an enumeration of all the available options..
listOptions() - Method in class weka.core.OptionHandlerJavadoc
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.stemmers.SnowballStemmer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.stopwords.AbstractFileBasedStopwords
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.stopwords.AbstractStopwords
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.stopwords.MultiStopwords
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.TechnicalInformationHandlerJavadoc
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.TestInstances
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
  Returns an enumeration of all the available options..
listOptions() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Returns an enumeration of all the available options..
listOptions() - Method in class weka.core.tokenizers.NGramTokenizer
  Returns an enumeration of all the available options..
listOptions() - Method in class weka.core.tokenizers.Tokenizer
  Returns an enumeration of all the available options..
listOptions() - Method in class weka.datagenerators.ClassificationGenerator
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.classification.LED24
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.regression.Expression
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.ClusterDefinition
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.ClusterGenerator
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.DataGenerator
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.datagenerators.RegressionGenerator
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.estimators.CheckEstimator
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.estimators.Estimator
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.estimators.UnivariateMixtureEstimator
  Returns an enumeration that lists the command-line options that are available
listOptions() - Method in class weka.experiment.AveragingResultProducer
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.ClassifierSplitEvaluator
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.CrossValidationResultProducer
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.CSVResultListener
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.DatabaseResultProducer
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.experiment.Experiment
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.InstanceQuery
  Returns an enumeration describing the available options
listOptions() - Method in class weka.experiment.LearningRateResultProducer
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.PairedTTester
  Lists options understood by this object.
listOptions() - Method in class weka.experiment.RandomSplitResultProducer
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.RegressionSplitEvaluator
  Returns an enumeration describing the available options..
listOptions() - Method in class weka.experiment.ResultMatrix
  Returns an enumeration of all the available options..
listOptions() - Method in class weka.filters.CheckSource
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.Filter
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.MultiFilter
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.AddClassification
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.AttributeSelection
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.ClassOrder
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.Discretize
  Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.NominalToBinary
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.attribute.PartitionMembership
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.instance.Resample
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Gets an enumeration describing the available options..
listOptions() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.Add
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.AddCluster
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.AddExpression
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.AddID
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Returns an enumeration describing the available options
listOptions() - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.AddValues
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Returns an enumeration describing the available options
listOptions() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.Copy
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.Discretize
  Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.FirstOrder
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.MathExpression
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.NominalToString
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.Normalize
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.Remove
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RemoveByName
  Gets an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
listOptions() - Method in class weka.filters.unsupervised.attribute.Reorder
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
listOptions() - Method in class weka.filters.unsupervised.attribute.SortLabels
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.StringToNominal
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.attribute.SwapValues
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.Randomize
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Gets an enumeration describing the available options..
listOptions() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Gets an enumeration describing the available options..
listOptions() - Method in class weka.filters.unsupervised.instance.RemoveRange
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.Resample
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Returns an enumeration describing the available options.
listOptions() - Method in class weka.gui.explorer.AbstractPlotInstances
  Returns an enumeration of all the available options.
listOptions() - Method in class weka.gui.Main
  Gets an enumeration describing the available options.
listOptions() - Method in class weka.gui.scripting.Script
  Returns an enumeration describing the available options.
ListSelectorDialog - Class in weka.gui
  A dialog to present the user with a list of items, that the user can make a selection from, or cancel the selection.
ListSelectorDialog(Frame, JList) - Constructor for class weka.gui.ListSelectorDialog
  Create the list selection dialog.
listStemmers() - Static method in class weka.core.stemmers.SnowballStemmer
  returns an enumeration over all currently stored stemmer names.
LMT - Class in weka.classifiers.trees
  Classifier for building 'logistic model trees', which are classification trees with logistic regression functions at the leaves.
LMT() - Constructor for class weka.classifiers.trees.LMT
  Creates an instance of LMT with standard options
LMTNode - Class in weka.classifiers.trees.lmt
  Class for logistic model tree structure.
LMTNode(ModelSelection, int, boolean, boolean, int, double, boolean, NominalToBinary) - Constructor for class weka.classifiers.trees.lmt.LMTNode
  Constructor for logistic model tree node.
lnFactorial(int) - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
  Fast computation of ln(n!) for non-negative ints negative ints are passed on to the general gamma-function based version in weka.core.SpecialFunctions if the current n value is higher than any previous one, the cache is extended and filled to cover it the common case is reduced to a simple array lookup
lnFactorial(double) - Static method in class weka.core.SpecialFunctions
  Returns natural logarithm of factorial using gamma function.
lnFunc(double) - Method in class weka.classifiers.trees.j48.EntropyBasedSplitCrit
  Help method for computing entropy.
lnFunc(double) - Static method in class weka.core.ContingencyTables
  Help method for computing entropy.
lnGamma(double) - Static method in class weka.core.Statistics
  Returns natural logarithm of gamma function.
LNormTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the tip text for this property
LNormTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
lnsrch(double[], double[], double[], double, boolean[], double[][], Optimization.DynamicIntArray) - Method in class weka.core.Optimization
  Find a new point x in the direction p from a point xold at which the value of the function has decreased sufficiently, the positive definiteness of B matrix (approximation of the inverse of the Hessian) is preserved and no bound constraints are violated.
load(InputStream) - Method in class weka.core.ProtectedProperties
  Overrides a method to prevent the properties from being modified.
load(String) - Method in class weka.gui.beans.FlowRunner
  Load a serialized KnowledgeFlow (either binary or xml)
load(File) - Static method in class weka.gui.scripting.ScriptUtils
  Tries to load the file and return its content.
loadBinary(String) - Method in class weka.gui.beans.FlowRunner
  Load a binary serialized KnowledgeFlow
loadCheck(Package, File, PrintStream...) - Static method in class weka.core.WekaPackageManager
  Check whether a package should be loaded or not.
Loader - Interface in weka.core.converters
  Interface to something that can load Instances from an input source in some format.
Loader - Class in weka.gui.beans
  Loads data sets using weka.core.converter classes
Loader() - Constructor for class weka.gui.beans.Loader
Loader - Class in weka.gui
  This class is for loading resources from a JAR archive.
Loader(String) - Constructor for class weka.gui.Loader
  initializes the object
Loader.StructureNotReadyException - Exception in weka.core.converters
  Exception that implementers can throw from getStructure() when they have not been configured sufficiently in order to read the structure (or data).
Loader.StructureNotReadyException(String) - Constructor for exception weka.core.converters.Loader.StructureNotReadyException
LOADER_DIALOG - Static variable in class weka.gui.ConverterFileChooser
  the loader dialog.
LoaderBeanInfo - Class in weka.gui.beans
  Bean info class for the loader bean
LoaderBeanInfo() - Constructor for class weka.gui.beans.LoaderBeanInfo
LoaderCustomizer - Class in weka.gui.beans
  GUI Customizer for the loader bean
LoaderCustomizer() - Constructor for class weka.gui.beans.LoaderCustomizer
loadFile(String, AbstractFileLoader...) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  loads the specified file
loadFile() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  loads the specified file into the table
loadFromFile(String) - Static method in class weka.core.Debug
  deserializes the content of the file and returns it, null if an error occurred.
loadIcons(String, String) - Method in class weka.gui.beans.BeanVisual
  Loads static and animated versions of a beans icons.
loadLayout(File, boolean) - Method in class weka.gui.beans.KnowledgeFlowApp
  Load a layout from a file.
loadLayout(InputStream, boolean, String) - Method in class weka.gui.beans.KnowledgeFlowApp
  Load a flow file from an input stream.
loadLayout(Reader, boolean, String) - Method in class weka.gui.beans.KnowledgeFlowApp
  Load a flow file from a reader.
loadModel() - Method in class weka.gui.beans.Classifier
loadModel() - Method in class weka.gui.beans.Clusterer
loadPackages(boolean) - Static method in class weka.core.WekaPackageManager
  Load all packages
loadPackages(boolean, boolean, boolean) - Static method in class weka.core.WekaPackageManager
  Load all packages
loadProperties() - Static method in class weka.gui.beans.BeansProperties
  Loads KnowledgeFlow properties and any plugins (adds jars to the classpath)
loadProperties() - Static method in class weka.gui.beans.KnowledgeFlowApp
  Loads KnowledgeFlow properties and any plugins (adds jars to the classpath)
loadXML(String) - Method in class weka.gui.beans.FlowRunner
  Load an XML serialized KnowledgeFlow
locallyPredictiveTipText() - Method in class weka.attributeSelection.CfsSubsetEval
  Returns the tip text for this property
LocalScoreSearchAlgorithm - Class in weka.classifiers.bayes.net.search.local
  The ScoreBasedSearchAlgorithm class supports Bayes net structure search algorithms that are based on maximizing scores (as opposed to for example conditional independence based search algorithms).
LocalScoreSearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  default constructor
LocalScoreSearchAlgorithm(BayesNet, Instances) - Constructor for class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  constructor
LocalTransformations - Class in weka.core.pmml.jaxbbindings
  Java class for LocalTransformations element declaration.
LocalTransformations() - Constructor for class weka.core.pmml.jaxbbindings.LocalTransformations
locateIndex(int) - Method in class weka.core.pmml.SparseArray
  Locates the greatest index that is not greater than the given index.
locateIndex(int) - Method in class weka.core.SparseInstance
  Locates the greatest index that is not greater than the given index.
log(String) - Method in class weka.core.Debug
  prints the given message with level INFO
log(Level, String) - Method in class weka.core.Debug
  prints the given message with the specified level and an empty sourceclass
log(Level, String, String) - Method in class weka.core.Debug
  prints the given message with the specified level
log(Level, String, String, String) - Method in class weka.core.Debug
  prints the given message with the specified level
log(Level, String) - Method in class weka.core.Debug.Log
  logs the given message
log(Level, String, String) - Method in class weka.core.Debug.Log
  prints the given message with the specified level
log(Level, String, String, String) - Method in class weka.core.Debug.Log
  prints the given message with the specified level
log(String) - Method in class weka.core.Debug.SimpleLog
  logs the given message to the file
log(Logger.Level, String) - Static method in class weka.core.logging.Logger
  Logs the given message under the given level.
log(Logger.Level, Throwable) - Static method in class weka.core.logging.Logger
  Logs the given message under the given level.
LOG - Static variable in interface weka.core.mathematicalexpression.sym
LOG - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
LOG2 - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
log2 - Static variable in class weka.core.ContingencyTables
  The natural logarithm of 2
log2 - Static variable in class weka.core.Utils
  The natural logarithm of 2.
log2(double) - Static method in class weka.core.Utils
  Returns the logarithm of a for base 2.
log2Binomial(double, double) - Static method in class weka.core.SpecialFunctions
  Returns base 2 logarithm of binomial coefficient using gamma function.
log2Multinomial(double, double[]) - Static method in class weka.core.SpecialFunctions
  Returns base 2 logarithm of multinomial using gamma function.
log2MultipleHypergeometric(double[][]) - Static method in class weka.core.ContingencyTables
  Returns negative base 2 logarithm of multiple hypergeometric probability for a contingency table.
Log2PI - Static variable in class weka.estimators.MultivariateGaussianEstimator
  Log of twice number pi: log(2*pi).
logDensity(Instance, double) - Method in interface weka.classifiers.ConditionalDensityEstimator
  Returns natural logarithm of density estimate for given value based on given instance.
logDensity(Instance, double) - Method in class weka.classifiers.functions.GaussianProcesses
  Returns natural logarithm of density estimate for given value based on given instance.
logDensity(Instance, double) - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns natural logarithm of density estimate for given value based on given instance.
logDensity(double[]) - Method in interface weka.estimators.MultivariateEstimator
  Returns the natural logarithm of the density estimate at the given point.
logDensity(double[]) - Method in class weka.estimators.MultivariateGaussianEstimator
  Returns the log likelihood of density value for the Multivariate distribution
logDensity(double) - Method in interface weka.estimators.UnivariateDensityEstimator
  Returns the natural logarithm of the density estimate at the given point.
logDensity(double) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Returns the natural logarithm of the density estimate at the given point.
logDensity(double) - Method in class weka.estimators.UnivariateKernelEstimator
  Returns the natural logarithm of the density estimate at the given point.
logDensity(double) - Method in class weka.estimators.UnivariateMixtureEstimator
  Returns the natural logarithm of the density estimate at the given point.
logDensity(double) - Method in class weka.estimators.UnivariateMixtureEstimator.MM
  Computes log of density for given value.
logDensity(double) - Method in class weka.estimators.UnivariateNormalEstimator
  Returns the natural logarithm of the density estimate at the given point.
logDensityForInstance(Instance) - Method in class weka.clusterers.AbstractDensityBasedClusterer
  Computes the density for a given instance.
logDensityForInstance(Instance) - Method in interface weka.clusterers.DensityBasedClusterer
  Computes the density for a given instance.
logDensityPerClusterForInstance(Instance) - Method in class weka.clusterers.AbstractDensityBasedClusterer
  Computes the log of the conditional density (per cluster) for a given instance.
logDensityPerClusterForInstance(Instance) - Method in interface weka.clusterers.DensityBasedClusterer
  Computes the log of the conditional density (per cluster) for a given instance.
logDensityPerClusterForInstance(Instance) - Method in class weka.clusterers.EM
  Computes the log of the conditional density (per cluster) for a given instance.
logDensityPerClusterForInstance(Instance) - Method in class weka.clusterers.MakeDensityBasedClusterer
  Computes the log of the conditional density (per cluster) for a given instance.
Logger - Class in weka.core.logging
  Abstract superclass for all loggers.
Logger() - Constructor for class weka.core.logging.Logger
  Initializes the logger.
Logger - Interface in weka.gui
  Interface for objects that display log (permanent historical) and status (transient) messages.
Logger.Level - Enum in weka.core.logging
  The logging level.
LogHandler - Interface in weka.core
  Interface to something that can output messages to a log
Logistic - Class in weka.classifiers.functions
  Class for building and using a multinomial logistic regression model with a ridge estimator.
  There are some modifications, however, compared to the paper of leCessie and van Houwelingen(1992):
  If there are k classes for n instances with m attributes, the parameter matrix B to be calculated will be an m*(k-1) matrix.
  The probability for class j with the exception of the last class is
  Pj(Xi) = exp(XiBj)/((sum[j=1..(k-1)]exp(Xi*Bj))+1)
  The last class has probability
  1-(sum[j=1..(k-1)]Pj(Xi))
  = 1/((sum[j=1..(k-1)]exp(Xi*Bj))+1)
  The (negative) multinomial log-likelihood is thus:
  L = -sum[i=1..n]{
  sum[j=1..(k-1)](Yij * ln(Pj(Xi)))
  +(1 - (sum[j=1..(k-1)]Yij))
  * ln(1 - sum[j=1..(k-1)]Pj(Xi))
  } + ridge * (B^2)
  In order to find the matrix B for which L is minimised, a Quasi-Newton Method is used to search for the optimized values of the m*(k-1) variables.
Logistic() - Constructor for class weka.classifiers.functions.Logistic
LogisticBase - Class in weka.classifiers.trees.lmt
  Base/helper class for building logistic regression models with the LogitBoost algorithm.
LogisticBase() - Constructor for class weka.classifiers.trees.lmt.LogisticBase
  Constructor that creates LogisticBase object with standard options.
LogisticBase(int, boolean, boolean) - Constructor for class weka.classifiers.trees.lmt.LogisticBase
  Constructor to create LogisticBase object.
LogisticProducerHelper - Class in weka.classifiers.pmml.producer
  Helper class for producing PMML for a Logistic classifier.
LogisticProducerHelper() - Constructor for class weka.classifiers.pmml.producer.LogisticProducerHelper
LogitBoost - Class in weka.classifiers.meta
  Class for performing additive logistic regression.
LogitBoost() - Constructor for class weka.classifiers.meta.LogitBoost
  Constructor.
logJointDensitiesForInstance(Instance) - Method in class weka.clusterers.AbstractDensityBasedClusterer
  Returns the logs of the joint densities for a given instance.
logJointDensitiesForInstance(Instance) - Method in interface weka.clusterers.DensityBasedClusterer
  Returns the logs of the joint densities for a given instance.
loglikelihood(double[], double[]) - Method in class weka.estimators.UnivariateMixtureEstimator.MM
  Computes loglikelihood of current model.
LOGLOSS - Static variable in class weka.classifiers.functions.SGD
  the log loss function.
LOGLOSS - Static variable in class weka.classifiers.functions.SGDText
  the log loss function.
logMessage(String) - Method in class weka.gui.beans.FlowRunner.SimpleLogger
logMessage(String) - Method in class weka.gui.beans.LogPanel
  Sends the supplied message to the log area.
logMessage(String) - Method in interface weka.gui.Logger
  Sends the supplied message to the log area.
logMessage(String) - Method in class weka.gui.LogPanel
  Sends the supplied message to the log area.
logMessage(String) - Method in class weka.gui.SysErrLog
  Sends the supplied message to the log area.
LogPanel - Class in weka.gui.beans
  Class for displaying a status area (made up of a variable number of lines) and a log area.
LogPanel() - Constructor for class weka.gui.beans.LogPanel
LogPanel - Class in weka.gui
  This panel allows log and status messages to be posted.
LogPanel() - Constructor for class weka.gui.LogPanel
  Creates the log panel with no task monitor and the log always visible.
LogPanel(WekaTaskMonitor) - Constructor for class weka.gui.LogPanel
  Creates the log panel with a task monitor, where the log is hidden.
LogPanel(WekaTaskMonitor, boolean) - Constructor for class weka.gui.LogPanel
  Creates the log panel, possibly with task monitor, where the log is optionally hidden.
LogPanel(WekaTaskMonitor, boolean, boolean, boolean) - Constructor for class weka.gui.LogPanel
  Creates the log panel, possibly with task monitor, where the either the log is optionally hidden or the status (having both hidden is not allowed).
logPSI - Static variable in class weka.core.matrix.Maths
  The constant - log( sqrt(2 pi) )
logs2probs(double[]) - Static method in class weka.core.Utils
  Converts an array containing the natural logarithms of probabilities stored in a vector back into probabilities.
logScore(int, int) - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
  Gets the log score contribution of this distribution
logScore(int) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  logScore returns the log of the quality of a network (e.g.
logScore(int, int) - Method in interface weka.classifiers.bayes.net.search.local.Scoreable
  Returns log-score
logSystemInfo() - Method in class weka.core.Debug.Log
  a convenience method for dumping the current system info in the log file
logSystemInfo() - Method in class weka.core.Debug.SimpleLog
  a convenience method for dumping the current system info in the log file
LogWindow - Class in weka.gui
  Frame that shows the output from stdout and stderr.
LogWindow() - Constructor for class weka.gui.LogWindow
  creates the frame
LogWriter - Interface in weka.gui.beans
  Interface to be implemented by classes that should be able to write their own output to the Weka logger.
LONG - Static variable in class weka.experiment.DatabaseUtils
  Type mapping for LONG used for reading experiment results.
lookAheadIterationsTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the tip text for this property
LookAndFeel - Class in weka.gui
  A little helper class for setting the Look and Feel of the user interface.
LookAndFeel() - Constructor for class weka.gui.LookAndFeel
lookupCacheSizeTipText() - Method in class weka.attributeSelection.BestFirst
  Returns the tip text for this property
LOSS_STRING - Variable in class weka.experiment.ResultMatrix
  loss string.
lossFunctionTipText() - Method in class weka.classifiers.functions.SGD
  Returns the tip text for this property
lossFunctionTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
LovinsStemmer - Class in weka.core.stemmers
  A stemmer based on the Lovins stemmer, described here:
  Julie Beth Lovins (1968).
LovinsStemmer() - Constructor for class weka.core.stemmers.LovinsStemmer
LOW_MEMORY_MINIMUM - Static variable in class weka.core.Memory
lowerBoundMinSupportTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
lowerBoundMinSupportTipText() - Method in class weka.associations.FPGrowth
  Returns the tip text for this property
lowercaseTokensTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the tip text for this property
lowercaseTokensTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
lowerCaseTokensTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
lowerNumericBoundIsOpen() - Method in class weka.core.Attribute
  Returns whether the lower numeric bound of the attribute is open.
lowerSizeTipText() - Method in class weka.experiment.LearningRateResultProducer
  Returns the tip text for this property
LPAREN - Static variable in interface weka.core.mathematicalexpression.sym
LPAREN - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
LSQUARE - Static variable in interface weka.core.json.sym
LT - Static variable in interface weka.core.mathematicalexpression.sym
LT - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
lu() - Method in class weka.core.matrix.Matrix
  LU Decomposition
LUDecomposition - Class in weka.core.matrix
  LU Decomposition.
LUDecomposition() - Method in class weka.core.Matrix
  Deprecated.
  Performs a LUDecomposition on the matrix.
LUDecomposition(Matrix) - Constructor for class weka.core.matrix.LUDecomposition
  LU Decomposition
LWL - Class in weka.classifiers.lazy
  Locally weighted learning.
LWL() - Constructor for class weka.classifiers.lazy.LWL
  Constructor.

## M

M5Base - Class in weka.classifiers.trees.m5
  M5Base.
M5Base() - Constructor for class weka.classifiers.trees.m5.M5Base
  Constructor
M5P - Class in weka.classifiers.trees
  M5Base.
M5P() - Constructor for class weka.classifiers.trees.M5P
  Creates a new `M5P` instance.
M5Rules - Class in weka.classifiers.rules
  Generates a decision list for regression problems using separate-and-conquer.
M5Rules() - Constructor for class weka.classifiers.rules.M5Rules
  Constructor
m_ADNodes - Variable in class weka.classifiers.bayes.net.VaryNode
  list of ADNode children
m_alpha - Variable in class weka.classifiers.functions.supportVector.RegOptimizer
  alpha and alpha* arrays containing weights for solving dual problem
m_alpha - Variable in class weka.classifiers.trees.lmt.LMTNode
  Alpha-value (for pruning) at the node
m_alphaStar - Variable in class weka.classifiers.functions.supportVector.RegOptimizer
m_alwaysDisplayPointsOfThisSize - Variable in class weka.gui.visualize.PlotData2D
  If the shape size of a point equals this size then always plot it (i.e.
M_AVERAGE - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
m_children - Variable in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
m_classDistribution - Variable in class weka.classifiers.trees.ht.HNode
  Class distribution at this node
m_col - Variable in class weka.gui.treevisualizer.NamedColor
  The actual color object
m_cols - Variable in class weka.gui.treevisualizer.Colors
  The array with all the colors input
m_CoordCount - Variable in class weka.core.neighboursearch.PerformanceStats
  The number of coordinates looked at for the current/last query.
m_count - Variable in class weka.classifiers.functions.SGDText.Count
m_customColour - Variable in class weka.gui.visualize.PlotData2D
m_defaultExpression - Static variable in class weka.filters.unsupervised.attribute.MathExpression
  The default modification expression
M_DELETE - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
  Missing value handling mode
m_displayAllPoints - Variable in class weka.gui.visualize.PlotData2D
  Display all points (ie.
m_Distributions - Variable in class weka.classifiers.bayes.BayesNet
  The attribute estimators containing CPTs.
m_doNotLoadList - Static variable in class weka.core.WekaPackageManager
  The set of packages that the user has requested not to load
m_End - Variable in class weka.core.neighboursearch.balltrees.BallNode
  The end index of the portion of the master index array, which stores indices of the instances/points the node contains.
m_End - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
  The end index of the portion of the master index array, which stores indices of the instances/points the node contains.
m_experimentFinished - Variable in class weka.experiment.RemoteExperimentEvent
  True if a remote experiment has finished
m_hidden_index - Variable in class weka.gui.beans.InteractiveTableModel
  Index of the hidden column
m_indexVal - Variable in class weka.gui.visualize.AttributePanelEvent
  The index for the new attribute
m_initialPackageLoadingInProcess - Static variable in class weka.core.WekaPackageManager
  Package loading in progress?
m_iNode - Variable in class weka.classifiers.bayes.net.VaryNode
  index of the node varied
m_Instances - Variable in class weka.classifiers.bayes.BayesNet
  The dataset header for the purposes of printing out a semi-intelligible model
m_Instances - Variable in class weka.classifiers.bayes.net.ADNode
  list of Instance children (either m_Instances or m_VaryNodes is instantiated)
m_L - Variable in class weka.classifiers.functions.GaussianProcesses
  (negative) covariance matrix in symmetric matrix representation
m_Left - Variable in class weka.core.neighboursearch.balltrees.BallNode
  The left child of the node.
m_Left - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
  left subtree; contains instances with smaller or equal to split value.
m_logMessage - Variable in class weka.experiment.RemoteExperimentEvent
  A log type message
m_MaxC - Variable in class weka.core.neighboursearch.PerformanceStats
  The min and max coordinates(attributes) looked at per query.
M_MAXDIFF - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
m_MaxP - Variable in class weka.core.neighboursearch.PerformanceStats
  The min and max data points looked for a query by the NNS algorithm.
m_messageString - Variable in class weka.experiment.RemoteExperimentEvent
  The message
m_MinC - Variable in class weka.core.neighboursearch.PerformanceStats
  The min and max coordinates(attributes) looked at per query.
m_MinP - Variable in class weka.core.neighboursearch.PerformanceStats
  The min and max data points looked for a query by the NNS algorithm.
m_name - Variable in class weka.gui.treevisualizer.NamedColor
  The name of the color
m_nCount - Variable in class weka.classifiers.bayes.net.ADNode
  count
m_nMCV - Variable in class weka.classifiers.bayes.net.VaryNode
  most common value
m_nNodes - Variable in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
  nodes of the Bayes net in this junction node
m_NodeNumber - Variable in class weka.core.neighboursearch.balltrees.BallNode
  The node number/id.
m_NodeNumber - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
  node number (only for debug).
m_NodeRanges - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
  lowest and highest value and width (= high - low) for each dimension.
m_NodesRectBounds - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
  The lo and high bounds of the hyper rectangle described by the node.
m_noPackageMetaDataAvailable - Static variable in class weka.core.WekaPackageManager
M_NORMAL - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
m_nStartNode - Variable in class weka.classifiers.bayes.net.ADNode
  first node in VaryNode array
m_numIncorrectModel - Variable in class weka.classifiers.trees.lmt.LMTNode
  Weighted number of training examples currently misclassified by the logistic model at the node
m_numIncorrectTree - Variable in class weka.classifiers.trees.lmt.LMTNode
  Weighted number of training examples currently misclassified by the subtree rooted at the node
m_NumInstances - Variable in class weka.core.neighboursearch.balltrees.BallNode
  The number of instances/points in the node.
m_numParameters - Variable in class weka.classifiers.trees.m5.RuleNode
  the number of paramters in the chosen model for this node---either the subtree model or the linear model.
m_offline - Static variable in class weka.core.WekaPackageManager
  Operating offline?
m_OutputFormat - Variable in class weka.core.Debug.Clock
  the format of the output
m_outputTypes - Variable in class weka.core.Debug.DBO
  range of outputtyp
m_parentBranch - Variable in class weka.classifiers.trees.ht.LeafNode
  Parent branch leading to this node
m_parentNode - Variable in class weka.classifiers.trees.ht.LeafNode
  Parent split node
m_PointCount - Variable in class weka.core.neighboursearch.PerformanceStats
  The number of data points looked at for the current/last query.
m_postSplitClassDistributions - Variable in class weka.classifiers.trees.ht.SplitCandidate
  list of class distributions resulting from a split - 2 entries in the outer list for numeric splits and n for nominal splits
m_Right - Variable in class weka.core.neighboursearch.balltrees.BallNode
  The right child of the node.
m_Right - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
  right subtree; contains instances with larger than split value.
m_root - Variable in class weka.classifiers.bayes.net.MarginCalculator
m_SplitAttrib - Variable in class weka.core.neighboursearch.balltrees.BallNode
  The attribute that splits this node (not always used).
m_SplitDim - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
  attribute to split on.
m_splitMerit - Variable in class weka.classifiers.trees.ht.SplitCandidate
  The merit of the split
m_splitTest - Variable in class weka.classifiers.trees.ht.SplitCandidate
m_SplitVal - Variable in class weka.core.neighboursearch.balltrees.BallNode
  The value of m_SpiltAttrib that splits this node (not always used).
m_SplitValue - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
  value to split on.
m_Start - Variable in class weka.core.neighboursearch.balltrees.BallNode
  The start index of the portion of the master index array, which stores the indices of the instances/points the node contains.
m_Start - Variable in class weka.core.neighboursearch.kdtrees.KDTreeNode
  The start index of the portion of the master index array, which stores the indices of the instances/points the node contains.
m_statusMessage - Variable in class weka.experiment.RemoteExperimentEvent
  A status type message
m_SumC - Variable in class weka.core.neighboursearch.PerformanceStats
  The sum of coordinates/attributes looked at for all the queries.
m_SumP - Variable in class weka.core.neighboursearch.PerformanceStats
  The sum of data points looked at for all the queries.
m_SumSqC - Variable in class weka.core.neighboursearch.PerformanceStats
  The squared sum of coordinates/attributes looked at for all the queries.
m_SumSqP - Variable in class weka.core.neighboursearch.PerformanceStats
  The squared sum of data points looked at for all the queries.
m_theNode - Variable in class weka.classifiers.trees.ht.LeafNode
  The actual node for this leaf
m_useCustomColour - Variable in class weka.gui.visualize.PlotData2D
  Custom colour for this plot
m_UseWordwrap - Variable in class weka.gui.LogWindow
  whether the JTextPane has wordwrap or not
m_VaryNodes - Variable in class weka.classifiers.bayes.net.ADNode
  list of VaryNode children
m_verboseOn - Variable in class weka.core.Debug.DBO
  enables/disables output of debug information
m_weight - Variable in class weka.classifiers.functions.SGDText.Count
m_weight - Variable in class weka.classifiers.trees.ht.WeightMass
m_weightSeenAtLastSplitEval - Variable in class weka.classifiers.trees.ht.ActiveHNode
  The weight of instances seen at the last split evaluation
m_xChange - Variable in class weka.gui.visualize.AttributePanelEvent
  True if the x selection changed
m_yChange - Variable in class weka.gui.visualize.AttributePanelEvent
  True if the y selection changed
MahalanobisEstimator - Class in weka.estimators
  Simple probability estimator that places a single normal distribution over the observed values.
MahalanobisEstimator(Matrix, double, double) - Constructor for class weka.estimators.MahalanobisEstimator
  Constructor
main(String[]) - Static method in class weka.associations.Apriori
  Main method.
main(String[]) - Static method in class weka.associations.AssociatorEvaluation
  A test method for this class.
main(String[]) - Static method in class weka.associations.CheckAssociator
  Test method for this class
main(String[]) - Static method in class weka.associations.FilteredAssociator
  Main method for running this class.
main(String[]) - Static method in class weka.associations.FPGrowth
  Main method.
main(String[]) - Static method in class weka.attributeSelection.AttributeSelection
  Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.CfsSubsetEval
  Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.CheckAttributeSelection
  Test method for this class
main(String[]) - Static method in class weka.attributeSelection.CorrelationAttributeEval
  Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.GainRatioAttributeEval
  Main method.
main(String[]) - Static method in class weka.attributeSelection.InfoGainAttributeEval
  Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.OneRAttributeEval
  Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.PrincipalComponents
  Main method for testing this class
main(String[]) - Static method in class weka.attributeSelection.ReliefFAttributeEval
  Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  Main method for testing this class.
main(String[]) - Static method in class weka.attributeSelection.WrapperSubsetEval
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.BayesNet
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.NaiveBayes
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.NaiveBayesMultinomial
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.NaiveBayesUpdateable
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.net.ADNode
  for testing only
main(String[]) - Static method in class weka.classifiers.bayes.net.BayesNetGenerator
  Main method
main(String[]) - Static method in class weka.classifiers.bayes.net.BIFReader
  Loads the file specified as first parameter and prints it to stdout.
main(String[]) - Static method in class weka.classifiers.bayes.net.EditableBayesNet
main(String[]) - Static method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorFullBayes
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.bayes.net.GUI
  Main method.
main(String[]) - Static method in class weka.classifiers.bayes.net.MarginCalculator
main(String[]) - Static method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
  for testing the class
main(String[]) - Static method in class weka.classifiers.BVDecompose
  Test method for this class
main(String[]) - Static method in class weka.classifiers.BVDecomposeSegCVSub
  Test method for this class
main(String[]) - Static method in class weka.classifiers.CheckClassifier
  Test method for this class
main(String[]) - Static method in class weka.classifiers.CheckSource
  Executes the tests, use "-h" to list the commandline options.
main(String[]) - Static method in class weka.classifiers.evaluation.CostCurve
  Tests the CostCurve generation from the command line.
main(String[]) - Static method in class weka.classifiers.evaluation.Evaluation
  A test method for this class.
main(String[]) - Static method in class weka.classifiers.Evaluation
  A test method for this class.
main(String[]) - Static method in class weka.classifiers.evaluation.MarginCurve
  Tests the MarginCurve generation from the command line.
main(String[]) - Static method in class weka.classifiers.evaluation.ThresholdCurve
  Tests the ThresholdCurve generation from the command line.
main(String[]) - Static method in class weka.classifiers.functions.GaussianProcesses
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.functions.LinearRegression
  Generates a linear regression function predictor.
main(String[]) - Static method in class weka.classifiers.functions.Logistic
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.functions.MultilayerPerceptron
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.functions.SGD
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.functions.SGDText
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.functions.SimpleLinearRegression
  Main method for testing this class
main(String[]) - Static method in class weka.classifiers.functions.SimpleLogistic
  Main method for testing this class
main(String[]) - Static method in class weka.classifiers.functions.SMO
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.functions.SMOreg
  Main method for running this classifier.
main(String[]) - Static method in class weka.classifiers.functions.supportVector.CheckKernel
  Test method for this class
main(String[]) - Static method in class weka.classifiers.functions.supportVector.KernelEvaluation
  A test method for this class.
main(String[]) - Static method in class weka.classifiers.functions.VotedPerceptron
  Main method.
main(String[]) - Static method in class weka.classifiers.lazy.IBk
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.lazy.KStar
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.lazy.LWL
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.AdaBoostM1
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.AdditiveRegression
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.AttributeSelectedClassifier
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.Bagging
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.ClassificationViaRegression
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.CostSensitiveClassifier
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.CVParameterSelection
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.FilteredClassifier
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.LogitBoost
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.MultiClassClassifier
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.MultiClassClassifierUpdateable
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.MultiScheme
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.RandomCommittee
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.RandomizableFilteredClassifier
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.RandomSubSpace
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.RegressionByDiscretization
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.Stacking
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.meta.Vote
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.misc.InputMappedClassifier
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.misc.SerializedClassifier
  Runs the classifier with the given options
main(String[]) - Static method in class weka.classifiers.rules.DecisionTable
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.rules.JRip
  Main method.
main(String[]) - Static method in class weka.classifiers.rules.M5Rules
  Main method by which this class can be tested
main(String[]) - Static method in class weka.classifiers.rules.OneR
  Main method for testing this class
main(String[]) - Static method in class weka.classifiers.rules.PART
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.rules.ZeroR
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.trees.DecisionStump
  Main method for testing this class.
main(String[]) - Static method in class weka.classifiers.trees.HoeffdingTree
main(String[]) - Static method in class weka.classifiers.trees.J48
  Main method for testing this class
main(String[]) - Static method in class weka.classifiers.trees.LMT
  Main method for testing this class
main(String[]) - Static method in class weka.classifiers.trees.M5P
  Main method by which this class can be tested
main(String[]) - Static method in class weka.classifiers.trees.RandomForest
  Main method for this class.
main(String[]) - Static method in class weka.classifiers.trees.RandomTree
  Main method for this class.
main(String[]) - Static method in class weka.classifiers.trees.REPTree
  Main method for this class.
main(String[]) - Static method in class weka.clusterers.Canopy
main(String[]) - Static method in class weka.clusterers.CheckClusterer
  Test method for this class
main(String[]) - Static method in class weka.clusterers.ClusterEvaluation
  Main method for testing this class.
main(String[]) - Static method in class weka.clusterers.Cobweb
  Main method.
main(String[]) - Static method in class weka.clusterers.EM
  Main method for testing this class.
main(String[]) - Static method in class weka.clusterers.FarthestFirst
  Main method for testing this class.
main(String[]) - Static method in class weka.clusterers.FilteredClusterer
  Main method for testing this class.
main(String[]) - Static method in class weka.clusterers.HierarchicalClusterer
main(String[]) - Static method in class weka.clusterers.MakeDensityBasedClusterer
  Main method for testing this class.
main(String[]) - Static method in class weka.clusterers.SimpleKMeans
  Main method for executing this class.
main(String[]) - Static method in class weka.core.AlgVector
  Main method for testing this class, can take an ARFF file as first argument.
main(String[]) - Static method in class weka.core.AllJavadoc
  Parses the given commandline parameters and generates the Javadoc.
main(String[]) - Static method in class weka.core.Attribute
  Simple main method for testing this class.
main(String[]) - Static method in class weka.core.BinarySparseInstance
  Main method for testing this class.
main(String[]) - Static method in class weka.core.Capabilities
  loads the given dataset and prints the Capabilities necessary to process it.
main(String[]) - Static method in class weka.core.CheckGOE
  Main method for using the CheckGOE.
main(String[]) - Static method in class weka.core.CheckOptionHandler
  Main method for using the CheckOptionHandler.
main(String[]) - Static method in class weka.core.ClassCache
  For testing only.
main(String[]) - Static method in class weka.core.ClassDiscovery
  Possible calls: weka.core.ClassDiscovery <packages>
  Prints all the packages in the current classpath weka.core.ClassDiscovery <classname> <packagename(s)>
  Prints the classes it found.
main(String[]) - Static method in class weka.core.ContingencyTables
  Main method for testing this class.
main(String[]) - Static method in class weka.core.converters.ArffLoader
  Main method.
main(String[]) - Static method in class weka.core.converters.ArffSaver
  Main method.
main(String[]) - Static method in class weka.core.converters.C45Loader
  Main method for testing this class.
main(String[]) - Static method in class weka.core.converters.C45Saver
  Main method.
main(String[]) - Static method in class weka.core.converters.ConverterUtils.DataSink
  for testing only - takes a data file as input and a data file for the output.
main(String[]) - Static method in class weka.core.converters.ConverterUtils.DataSource
  for testing only - takes a data file as input.
main(String[]) - Static method in class weka.core.converters.CSVLoader
  Main method.
main(String[]) - Static method in class weka.core.converters.CSVSaver
  Main method.
main(String[]) - Static method in class weka.core.converters.DatabaseLoader
  Main method.
main(String[]) - Static method in class weka.core.converters.DatabaseSaver
  Main method.
main(String[]) - Static method in class weka.core.converters.JSONLoader
  Main method.
main(String[]) - Static method in class weka.core.converters.JSONSaver
  Main method.
main(String[]) - Static method in class weka.core.converters.LibSVMLoader
  Main method.
main(String[]) - Static method in class weka.core.converters.LibSVMSaver
  Main method.
main(String[]) - Static method in class weka.core.converters.MatlabLoader
  Main method.
main(String[]) - Static method in class weka.core.converters.MatlabSaver
  Main method.
main(String[]) - Static method in class weka.core.converters.SerializedInstancesLoader
  Main method.
main(String[]) - Static method in class weka.core.converters.SerializedInstancesSaver
  Main method.
main(String[]) - Static method in class weka.core.converters.SVMLightLoader
  Main method.
main(String[]) - Static method in class weka.core.converters.SVMLightSaver
  Main method.
main(String[]) - Static method in class weka.core.converters.TextDirectoryLoader
  Main method.
main(String[]) - Static method in class weka.core.converters.XRFFLoader
  Main method.
main(String[]) - Static method in class weka.core.converters.XRFFSaver
  Main method.
main(String[]) - Static method in class weka.core.Copyright
  Only for testing
main(String[]) - Static method in class weka.core.DenseInstance
  Main method for testing this class.
main(String[]) - Static method in class weka.core.Environment
  Main method for testing this class.
main(String[]) - Static method in class weka.core.FindWithCapabilities
  Executes the location of classes with parameters from the commandline.
main(String[]) - Static method in class weka.core.GlobalInfoJavadoc
  Parses the given commandline parameters and generates the Javadoc.
main(String[]) - Static method in class weka.core.InstanceComparator
  for testing only.
main(String[]) - Static method in class weka.core.Instances
  Main method for this class.
main(String[]) - Static method in class weka.core.json.JSONInstances
  For testing only.
main(String[]) - Static method in class weka.core.json.JSONNode
  Only for testing.
main(String[]) - Static method in class weka.core.json.Parser
  Runs the parser from commandline.
main(String[]) - Static method in class weka.core.ListOptions
  runs the javadoc producer with the given commandline options
main(String[]) - Static method in class weka.core.mathematicalexpression.Parser
  Runs the parser from commandline.
main(String[]) - Static method in class weka.core.matrix.DoubleVector
main(String[]) - Static method in class weka.core.matrix.IntVector
  Tests the IntVector class
main(String[]) - Static method in class weka.core.Matrix
  Deprecated.
  Main method for testing this class.
main(String[]) - Static method in class weka.core.matrix.Matrix
  Main method for testing this class.
main(String[]) - Static method in class weka.core.Memory
  prints only some statistics
main(String[]) - Static method in class weka.core.neighboursearch.CoverTree
  Method for testing the class from command line.
main(String[]) - Static method in class weka.core.OptionHandlerJavadoc
  Parses the given commandline parameters and generates the Javadoc.
main(String[]) - Static method in class weka.core.pmml.Constant
main(String[]) - Static method in class weka.core.pmml.PMMLFactory
main(String[]) - Static method in class weka.core.PropertyPath
  for testing only
main(String[]) - Static method in class weka.core.Queue
  Main method for testing this class.
main(String[]) - Static method in class weka.core.RandomVariates
  Main method for testing this class.
main(String[]) - Static method in class weka.core.Range
  Main method for testing this class.
main(String[]) - Static method in class weka.core.RepositoryIndexGenerator
  Main method for running the RepositoryIndexGenerator
main(String[]) - Static method in class weka.core.RevisionUtils
  For testing only.
main(String[]) - Static method in class weka.core.scripting.Groovy
  If no arguments are given, it just prints the presence of the Groovy classes, otherwise it expects a Groovy filename to execute.
main(String[]) - Static method in class weka.core.scripting.Jython
  If no arguments are given, it just prints the presence of the Jython classes, otherwise it expects a Jython filename to execute.
main(String[]) - Static method in class weka.core.SerializationHelper
  Outputs information about a class on the commandline, takes class name as arguments.
main(String[]) - Static method in class weka.core.SingleIndex
  Main method for testing this class.
main(String[]) - Static method in class weka.core.SparseInstance
  Main method for testing this class.
main(String[]) - Static method in class weka.core.SpecialFunctions
  Main method for testing this class.
main(String[]) - Static method in class weka.core.Statistics
  Main method for testing this class.
main(String[]) - Static method in class weka.core.stemmers.IteratedLovinsStemmer
  Runs the stemmer with the given options
main(String[]) - Static method in class weka.core.stemmers.LovinsStemmer
  Runs the stemmer with the given options
main(String[]) - Static method in class weka.core.stemmers.NullStemmer
  Runs the stemmer with the given options
main(String[]) - Static method in class weka.core.stemmers.SnowballStemmer
  Runs the stemmer with the given options.
main(String[]) - Static method in class weka.core.Stopwords
  Accepts the following parameter:

  -i file
  loads the stopwords from the given file

  -o file
  saves the stopwords to the given file

  -p
  outputs the current stopwords on stdout

  Any additional parameters are interpreted as words to test as stopwords.
main(String[]) - Static method in class weka.core.SystemInfo
  for printing the system info to stdout.
main(String[]) - Static method in class weka.core.TechnicalInformation
  Prints some examples of technical informations if there are no commandline options given.
main(String[]) - Static method in class weka.core.TechnicalInformationHandlerJavadoc
  Parses the given commandline parameters and generates the Javadoc.
main(String[]) - Static method in class weka.core.TestInstances
  for running the class from commandline, prints the generated data to stdout
main(String[]) - Static method in class weka.core.tokenizers.AlphabeticTokenizer
  Runs the tokenizer with the given options and strings to tokenize.
main(String[]) - Static method in class weka.core.tokenizers.CharacterNGramTokenizer
  Runs the tokenizer with the given options and strings to tokenize.
main(String[]) - Static method in class weka.core.tokenizers.NGramTokenizer
  Runs the tokenizer with the given options and strings to tokenize.
main(String[]) - Static method in class weka.core.tokenizers.WordTokenizer
  Runs the tokenizer with the given options and strings to tokenize.
main(String[]) - Static method in class weka.core.Trie
  Only for testing (prints the built Trie).
main(String[]) - Static method in class weka.core.Utils
  Main method for testing this class.
main(String[]) - Static method in class weka.core.Version
  only for testing
main(String[]) - Static method in class weka.core.WekaPackageManager
  Main method for using the package manager from the command line
main(String[]) - Static method in class weka.core.xml.SerialUIDChanger
  exchanges an old UID for a new one.
main(String[]) - Static method in class weka.core.xml.XMLDocument
  for testing only.
main(String[]) - Static method in class weka.core.xml.XMLInstances
  takes an XML document as first argument and then outputs the Instances statistics
main(String[]) - Static method in class weka.core.xml.XMLOptions
  for testing only.
main(String[]) - Static method in class weka.core.xml.XMLSerialization
  for testing only.
main(String[]) - Static method in class weka.datagenerators.classifiers.classification.Agrawal
  Main method for executing this class.
main(String[]) - Static method in class weka.datagenerators.classifiers.classification.BayesNet
  Main method for executing this class.
main(String[]) - Static method in class weka.datagenerators.classifiers.classification.LED24
  Main method for executing this class.
main(String[]) - Static method in class weka.datagenerators.classifiers.classification.RandomRBF
  Main method for executing this class.
main(String[]) - Static method in class weka.datagenerators.classifiers.classification.RDG1
  Main method for testing this class.
main(String[]) - Static method in class weka.datagenerators.classifiers.regression.Expression
  Main method for testing this class.
main(String[]) - Static method in class weka.datagenerators.classifiers.regression.MexicanHat
  Main method for testing this class.
main(String[]) - Static method in class weka.datagenerators.clusterers.BIRCHCluster
  Main method for testing this class.
main(String[]) - Static method in class weka.datagenerators.clusterers.SubspaceCluster
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.CheckEstimator
  Test method for this class
main(String[]) - Static method in class weka.estimators.DDConditionalEstimator
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.DiscreteEstimator
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.DKConditionalEstimator
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.DNConditionalEstimator
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.KDConditionalEstimator
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.KernelEstimator
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.KKConditionalEstimator
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.MahalanobisEstimator
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.MultivariateGaussianEstimator
main(String[]) - Static method in class weka.estimators.NDConditionalEstimator
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.NNConditionalEstimator
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.NormalEstimator
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.PoissonEstimator
  Main method for testing this class.
main(String[]) - Static method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Main method, used for testing this class.
main(String[]) - Static method in class weka.estimators.UnivariateKernelEstimator
  Main method, used for testing this class.
main(String[]) - Static method in class weka.estimators.UnivariateMixtureEstimator
  Main method, used for testing this class.
main(String[]) - Static method in class weka.estimators.UnivariateNormalEstimator
  Main method, used for testing this class.
main(String[]) - Static method in class weka.experiment.CrossValidationResultProducer
  Quick test of timestamp
main(String[]) - Static method in class weka.experiment.Experiment
  Configures/Runs the Experiment from the command line.
main(String[]) - Static method in class weka.experiment.InstanceQuery
  Test the class from the command line.
main(String[]) - Static method in class weka.experiment.OutputZipper
  Main method for testing this class
main(String[]) - Static method in class weka.experiment.PairedCorrectedTTester
  Test the class from the command line.
main(String[]) - Static method in class weka.experiment.PairedStats
  Tests the paired stats object from the command line.
main(String[]) - Static method in class weka.experiment.PairedTTester
  Test the class from the command line.
main(String[]) - Static method in class weka.experiment.RemoteEngine
  Main method.
main(String[]) - Static method in class weka.experiment.RemoteExperiment
  Configures/Runs the Experiment from the command line.
main(String[]) - Static method in class weka.experiment.ResultMatrixCSV
  for testing only.
main(String[]) - Static method in class weka.experiment.ResultMatrixGnuPlot
  for testing only.
main(String[]) - Static method in class weka.experiment.ResultMatrixHTML
  for testing only.
main(String[]) - Static method in class weka.experiment.ResultMatrixLatex
  for testing only.
main(String[]) - Static method in class weka.experiment.ResultMatrixPlainText
  for testing only.
main(String[]) - Static method in class weka.experiment.ResultMatrixSignificance
  for testing only.
main(String[]) - Static method in class weka.experiment.Stats
  Tests the paired stats object from the command line.
main(String[]) - Static method in class weka.experiment.xml.XMLExperiment
  for testing only.
main(String[]) - Static method in class weka.filters.AllFilter
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.CheckSource
  Executes the tests, use "-h" to list the commandline options.
main(String[]) - Static method in class weka.filters.Filter
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.MultiFilter
  Main method for executing this class.
main(String[]) - Static method in class weka.filters.supervised.attribute.AddClassification
  runs the filter with the given arguments.
main(String[]) - Static method in class weka.filters.supervised.attribute.AttributeSelection
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.attribute.ClassOrder
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.attribute.Discretize
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.attribute.MergeNominalValues
  runs the filter with the given arguments
main(String[]) - Static method in class weka.filters.supervised.attribute.NominalToBinary
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.attribute.PartitionMembership
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.instance.ClassBalancer
  runs the filter with the given arguments
main(String[]) - Static method in class weka.filters.supervised.instance.Resample
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.instance.SpreadSubsample
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Add
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.AddCluster
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.AddExpression
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.AddID
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.AddNoise
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.AddUserFields
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.AddValues
  Main method for testing and running this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Center
  Main method for running this filter.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.ClassAssigner
  Main method for executing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.ClusterMembership
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Copy
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Discretize
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.FirstOrder
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.InterquartileRange
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.KernelFilter
  runs the filter with the given arguments
main(String[]) - Static method in class weka.filters.unsupervised.attribute.MakeIndicator
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.MathExpression
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  runs the filter with the given arguments
main(String[]) - Static method in class weka.filters.unsupervised.attribute.MergeManyValues
  Main method for executing this filter.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NominalToBinary
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NominalToString
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Normalize
  Main method for running this filter.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NumericCleaner
  Runs the filter from commandline, use "-h" to see all options.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NumericToBinary
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NumericToNominal
  Runs the filter with the given parameters.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.NumericTransform
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Obfuscate
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Main method for executing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Main method for running this filter.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RandomProjection
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RandomSubset
  Runs the filter with the given parameters.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Remove
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RemoveByName
  runs the filter with the given arguments.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RemoveType
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RemoveUseless
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RenameAttribute
  Main method for executing this filter.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Reorder
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.SortLabels
  runs the filter with the given arguments.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Standardize
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.StringToNominal
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.StringToWordVector
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.SwapValues
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.attribute.Transpose
  runs the filter with the given arguments
main(String[]) - Static method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.Randomize
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemoveDuplicates
  Main method for running this filter.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemoveFolds
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemovePercentage
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemoveRange
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.RemoveWithValues
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.Resample
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.ReservoirSample
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.SparseToNonSparse
  Main method for testing this class.
main(String[]) - Static method in class weka.filters.unsupervised.instance.SubsetByExpression
  Main method for running this filter.
main(String[]) - Static method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Runs the parser from commandline.
main(String[]) - Static method in class weka.gui.arffviewer.ArffViewer
  shows the frame and it tries to load all the arff files that were provided as arguments.
main(String[]) - Static method in class weka.gui.AttributeListPanel
  Tests the attribute list panel from the command line.
main(String[]) - Static method in class weka.gui.AttributeSelectionPanel
  Tests the attribute selection panel from the command line.
main(String[]) - Static method in class weka.gui.AttributeSummaryPanel
  Tests out the attribute summary panel from the command line.
main(String[]) - Static method in class weka.gui.AttributeVisualizationPanel
  Main method to test this class from command line
main(String[]) - Static method in class weka.gui.beans.AttributeSummarizer
main(String[]) - Static method in class weka.gui.beans.CostBenefitAnalysis
main(String[]) - Static method in class weka.gui.beans.DataVisualizer
main(String[]) - Static method in class weka.gui.beans.EnvironmentField
  Main method for testing this class
main(String[]) - Static method in class weka.gui.beans.FlowRunner
  Main method for testing this class.
main(String[]) - Static method in class weka.gui.beans.KnowledgeFlow
  Shows the splash screen, launches the application and then disposes the splash screen.
main(String[]) - Static method in class weka.gui.beans.KnowledgeFlowApp
  Main method.
main(String[]) - Static method in class weka.gui.beans.Loader
main(String[]) - Static method in class weka.gui.beans.LogPanel
  Main method to test this class.
main(String[]) - Static method in class weka.gui.beans.ModelPerformanceChart
main(String[]) - Static method in class weka.gui.beans.Saver
  The main method for testing
main(String[]) - Static method in class weka.gui.beans.ScatterPlotMatrix
main(String[]) - Static method in class weka.gui.beans.SQLViewerPerspective
  Main method for testing this class
main(String[]) - Static method in class weka.gui.beans.StripChart
  Tests out the StripChart from the command line
main(String[]) - Static method in class weka.gui.beans.TextViewer
main(String[]) - Static method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Main method for testing this class
main(String[]) - Static method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
  Main method for testing this class
main(String[]) - Static method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Main method for testing this class
main(String[]) - Static method in class weka.gui.ConverterFileChooser
  For testing the file chooser.
main(String[]) - Static method in class weka.gui.DatabaseConnectionDialog
  for testing only
main(String[]) - Static method in class weka.gui.experiment.AlgorithmListPanel
  Tests out the algorithm list panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.DatasetListPanel
  Tests out the dataset list panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.DistributeExperimentPanel
  Tests out the panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.Experimenter
  Tests out the experiment environment.
main(String[]) - Static method in class weka.gui.experiment.ExperimenterDefaults
  only for testing - prints the content of the props file.
main(String[]) - Static method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
  Tests out the panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.HostListPanel
  Tests out the host list panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.OutputFormatDialog
  for testing only.
main(String[]) - Static method in class weka.gui.experiment.ResultsPanel
  Tests out the results panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.RunNumberPanel
  Tests out the panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.RunPanel
  Tests out the run panel from the command line.
main(String[]) - Static method in class weka.gui.experiment.SetupPanel
  Tests out the experiment setup from the command line.
main(String[]) - Static method in class weka.gui.explorer.AssociationsPanel
  Tests out the Associator panel from the command line.
main(String[]) - Static method in class weka.gui.explorer.AttributeSelectionPanel
  Tests out the attribute selection panel from the command line.
main(String[]) - Static method in class weka.gui.explorer.ClassifierPanel
  Tests out the classifier panel from the command line.
main(String[]) - Static method in class weka.gui.explorer.ClustererPanel
  Tests out the clusterer panel from the command line.
main(String[]) - Static method in class weka.gui.explorer.Explorer
  Tests out the explorer environment.
main(String[]) - Static method in class weka.gui.explorer.ExplorerDefaults
  only for testing - prints the content of the props file.
main(String[]) - Static method in class weka.gui.explorer.PreprocessPanel
  Tests out the instance-preprocessing panel from the command line.
main(String[]) - Static method in class weka.gui.explorer.VisualizePanel
  Tests out the visualize panel from the command line.
main(String[]) - Static method in class weka.gui.GenericArrayEditor
  Tests out the array editor from the command line.
main(String[]) - Static method in class weka.gui.GenericObjectEditor
  Tests out the Object editor from the command line.
main(String[]) - Static method in class weka.gui.GenericPropertiesCreator
  for generating props file: no parameter: see default constructor 1 parameter (i.e., filename): see default constructor + setOutputFilename(String) 2 parameters (i.e, filenames): see constructor with String argument + setOutputFilename(String)
main(String[]) - Static method in class weka.gui.graphvisualizer.GraphVisualizer
  Main method to load a text file with the description of a graph from the command line
main(String[]) - Static method in class weka.gui.GUIChooser
  Tests out the GUIChooser environment.
main(String[]) - Static method in class weka.gui.HierarchyPropertyParser
  Tests out the parser.
main(String[]) - Static method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
  Main method for testing this class.
main(String[]) - Static method in class weka.gui.InstancesSummaryPanel
  Tests out the instance summary panel from the command line.
main(String[]) - Static method in class weka.gui.ListSelectorDialog
  Tests out the list selector from the command line.
main(String[]) - Static method in class weka.gui.LogPanel
  Tests out the log panel from the command line.
main(String[]) - Static method in class weka.gui.LogWindow
  for testing only
main(String[]) - Static method in class weka.gui.LookAndFeel
  prints all the available LnFs to stdout
Main - Class in weka.gui
  Menu-based GUI for Weka, replacement for the GUIChooser.
Main() - Constructor for class weka.gui.Main
  default constructor.
main(String[]) - Static method in class weka.gui.Main
  starts the application.
main(String[]) - Static method in class weka.gui.PackageManager
main(String[]) - Static method in class weka.gui.PropertySelectorDialog
  Tests out the property selector from the command line.
main(String[]) - Static method in class weka.gui.ResultHistoryPanel
  Tests out the result history from the command line.
main(String[]) - Static method in class weka.gui.SaveBuffer
  Main method for testing this class
main(String[]) - Static method in class weka.gui.scripting.GroovyPanel
  Displays the panel in a frame.
main(String[]) - Static method in class weka.gui.scripting.GroovyScript
  Runs the script from commandline.
main(String[]) - Static method in class weka.gui.scripting.JythonPanel
  Displays the panel in a frame.
main(String[]) - Static method in class weka.gui.scripting.JythonScript
  Runs the script from commandline.
main(String[]) - Static method in class weka.gui.SelectedTagEditor
  Tests out the selectedtag editor from the command line.
main(String[]) - Static method in class weka.gui.SimpleCLI
  Method to start up the simple cli.
main(String[]) - Static method in class weka.gui.SimpleCLIPanel
  Displays the panel in a frame.
main(String[]) - Static method in class weka.gui.sql.SqlViewer
  starts the SQL-Viewer interface.
main(String[]) - Static method in class weka.gui.sql.SqlViewerDialog
  for testing only.
main(String[]) - Static method in class weka.gui.treevisualizer.TreeVisualizer
  Main method for testing this class.
main(String[]) - Static method in class weka.gui.visualize.AttributePanel
  Main method for testing this class.
main(String[]) - Static method in class weka.gui.visualize.BMPWriter
  for testing only.
main(String[]) - Static method in class weka.gui.visualize.ClassPanel
  Main method for testing this class.
main(String[]) - Static method in class weka.gui.visualize.JPEGWriter
  for testing only.
main(String[]) - Static method in class weka.gui.visualize.LegendPanel
  Main method for testing this class
main(String[]) - Static method in class weka.gui.visualize.MatrixPanel
  Main method for testing this class
main(String[]) - Static method in class weka.gui.visualize.Plot2D
  Main method for testing this class
main(String[]) - Static method in class weka.gui.visualize.PNGWriter
  for testing only.
main(String[]) - Static method in class weka.gui.visualize.PostscriptWriter
  for testing only
main(String[]) - Static method in class weka.gui.visualize.ThresholdVisualizePanel
  Starts the ThresholdVisualizationPanel with parameters from the command line.
main(String[]) - Static method in class weka.gui.visualize.VisualizePanel
  Main method for testing this class
main(String[]) - Static method in class weka.gui.WekaTaskMonitor
  Main method for testing this class
main(String[]) - Static method in class weka.Run
  Main method for this class.
Main.BackgroundDesktopPane - Class in weka.gui
  DesktopPane with background image.
Main.BackgroundDesktopPane(String) - Constructor for class weka.gui.Main.BackgroundDesktopPane
  intializes the desktop pane.
Main.ChildFrameMDI - Class in weka.gui
  Specialized JInternalFrame class.
Main.ChildFrameMDI(Main, String) - Constructor for class weka.gui.Main.ChildFrameMDI
  constructs a new internal frame that knows about its parent.
Main.ChildFrameSDI - Class in weka.gui
  Specialized JFrame class.
Main.ChildFrameSDI(Main, String) - Constructor for class weka.gui.Main.ChildFrameSDI
  constructs a new internal frame that knows about its parent.
MainMenuExtension - Interface in weka.gui
  Classes implementing this interface will be displayed in the "Extensions" menu in the main GUI of Weka.
MAJOR - Static variable in class weka.core.Version
  the major version
MAJORITY_VOTING_RULE - Static variable in class weka.classifiers.meta.Vote
  combination rule: Majority Voting (only nominal classes)
makeADTree(int, ArrayList<Integer>, Instances) - Static method in class weka.classifiers.bayes.net.ADNode
  create sub tree
makeADTree(Instances) - Static method in class weka.classifiers.bayes.net.ADNode
  create AD tree from set of instances
makeBinaryTipText() - Method in class weka.filters.supervised.attribute.Discretize
  Returns the tip text for this property
makeBinaryTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
  Returns the tip text for this property
makeCopies(Associator, int) - Static method in class weka.associations.AbstractAssociator
  Creates copies of the current associator.
makeCopies(ASEvaluation, int) - Static method in class weka.attributeSelection.ASEvaluation
  Creates copies of the current evaluator.
makeCopies(ASSearch, int) - Static method in class weka.attributeSelection.ASSearch
  Creates copies of the current search scheme.
makeCopies(Classifier, int) - Static method in class weka.classifiers.AbstractClassifier
  Creates a given number of deep copies of the given classifier using serialization.
makeCopies(Kernel, int) - Static method in class weka.classifiers.functions.supportVector.Kernel
  Creates a given number of deep or shallow (if the kernel implements Copyable) copies of the given kernel using serialization.
makeCopies(Clusterer, int) - Static method in class weka.clusterers.AbstractClusterer
  Creates copies of the current clusterer.
makeCopies(DensityBasedClusterer, int) - Static method in class weka.clusterers.AbstractDensityBasedClusterer
  Creates copies of the current clusterer.
makeCopies(Estimator, int) - Static method in class weka.estimators.Estimator
  Creates a given number of deep copies of the given estimator using serialization.
makeCopies(Filter, int) - Static method in class weka.filters.Filter
  Creates a given number of deep copies of the given filter using serialization.
makeCopy(Associator) - Static method in class weka.associations.AbstractAssociator
  Creates a deep copy of the given associator using serialization.
makeCopy(Classifier) - Static method in class weka.classifiers.AbstractClassifier
  Creates a deep copy of the given classifier using serialization.
makeCopy(Kernel) - Static method in class weka.classifiers.functions.supportVector.Kernel
  Creates a shallow copy of the kernel (if it implements Copyable) otherwise a deep copy using serialization.
makeCopy(Clusterer) - Static method in class weka.clusterers.AbstractClusterer
  Creates a deep copy of the given clusterer using serialization.
makeCopy(Estimator) - Static method in class weka.estimators.Estimator
  Creates a deep copy of the given estimator using serialization.
makeCopy(Filter) - Static method in class weka.filters.Filter
  Creates a deep copy of the given filter using serialization.
makeCopy(Object) - Static method in class weka.gui.GenericArrayEditor
  Makes a copy of an object using serialization.
makeCopy(Object) - Static method in class weka.gui.GenericObjectEditor
  Makes a copy of an object using serialization.
makeData(DataGenerator, String[]) - Static method in class weka.datagenerators.DataGenerator
  Calls the data generator.
MakeDecList - Class in weka.classifiers.rules.part
  Class for handling a decision list.
MakeDecList(ModelSelection, int) - Constructor for class weka.classifiers.rules.part.MakeDecList
  Constructor for unpruned dec list.
MakeDecList(ModelSelection, double, int) - Constructor for class weka.classifiers.rules.part.MakeDecList
  Constructor for dec list pruned using C4.5 pruning.
MakeDecList(ModelSelection, int, int, int) - Constructor for class weka.classifiers.rules.part.MakeDecList
  Constructor for dec list pruned using hold-out pruning.
MakeDensityBasedClusterer - Class in weka.clusterers
  Class for wrapping a Clusterer to make it return a distribution and density.
MakeDensityBasedClusterer() - Constructor for class weka.clusterers.MakeDensityBasedClusterer
  Default constructor.
MakeDensityBasedClusterer(Clusterer) - Constructor for class weka.clusterers.MakeDensityBasedClusterer
  Contructs a MakeDensityBasedClusterer wrapping a given Clusterer.
makeDistribution(double, int) - Static method in class weka.classifiers.evaluation.NominalPrediction
  Convert a single prediction into a probability distribution with all zero probabilities except the predicted value which has probability 1.0.
MakeIndicator - Class in weka.filters.unsupervised.attribute
  A filter that creates a new dataset with a boolean attribute replacing a nominal attribute.
MakeIndicator() - Constructor for class weka.filters.unsupervised.attribute.MakeIndicator
  Constructor
makeUniformDistribution(int) - Static method in class weka.classifiers.evaluation.NominalPrediction
  Creates a uniform probability distribution -- where each of the possible classes is assigned equal probability.
makeVaryNode(int, ArrayList<Integer>, Instances) - Static method in class weka.classifiers.bayes.net.ADNode
  create sub tree
makeWeighted(CostMatrix) - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Makes a copy of this ConfusionMatrix after applying the supplied CostMatrix to the cells.
ManhattanDistance - Class in weka.core
  Implements the Manhattan distance (or Taxicab geometry).
ManhattanDistance() - Constructor for class weka.core.ManhattanDistance
  Constructs an Manhattan Distance object, Instances must be still set.
ManhattanDistance(Instances) - Constructor for class weka.core.ManhattanDistance
  Constructs an Manhattan Distance object and automatically initializes the ranges.
map(String, String) - Method in class weka.core.matrix.DoubleVector
  Applies a method to the vector
mapClasses(int, int, int[][], int[], double[], double[], int) - Static method in class weka.clusterers.ClusterEvaluation
  Finds the minimum error mapping of classes to clusters.
MappingInfo - Class in weka.core.pmml
  Class that maintains the mapping between incoming data set structure and that of the mining schema.
MappingInfo(Instances, MiningSchema, Logger) - Constructor for class weka.core.pmml.MappingInfo
mapToMiningSchema(Instances) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
  Map mining schema to incoming instances.
MapValues - Class in weka.core.pmml.jaxbbindings
  Java class for MapValues element declaration.
MapValues() - Constructor for class weka.core.pmml.jaxbbindings.MapValues
margin() - Method in class weka.classifiers.evaluation.NominalPrediction
  Calculates the prediction margin.
MarginCalculator - Class in weka.classifiers.bayes.net
MarginCalculator() - Constructor for class weka.classifiers.bayes.net.MarginCalculator
MarginCalculator.JunctionTreeNode - Class in weka.classifiers.bayes.net
MarginCalculator.JunctionTreeSeparator - Class in weka.classifiers.bayes.net
MarginCurve - Class in weka.classifiers.evaluation
  Generates points illustrating the prediction margin.
MarginCurve() - Constructor for class weka.classifiers.evaluation.MarginCurve
markovBlanketClassifierTipText() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
markovBlanketClassifierTipText() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
maskKeyword(String) - Method in class weka.experiment.DatabaseUtils
  If the given string is a keyword, then the mask character will be appended and returned.
MatCell - Class in weka.core.pmml.jaxbbindings
  Java class for MatCell element declaration.
MatCell() - Constructor for class weka.core.pmml.jaxbbindings.MatCell
MATCH_PART_SEPARATOR - Static variable in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Separator for parts of the match specification
MATCH_RULE_SEPARATOR - Static variable in class weka.gui.beans.SubstringLabelerRules
  Separator for match rules in the internal representation
Matchable - Interface in weka.core
  Interface to something that can be matched with tree matching algorithms.
matchMissingValuesTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns the tip text for this property
matchRulesFromInternal(String, Instances, String, Logger, Environment) - Static method in class weka.gui.beans.SubstringLabelerRules
  Get a list of match rules from an internally encoded match specification
matchRulesFromInternal(String, Instances, String, Logger, Environment) - Static method in class weka.gui.beans.SubstringReplacerRules
  Get a list of match rules from an internally encoded match specification
MathematicalExpression - Class in weka.core
  Class for evaluating a string adhering the following grammar:
MathematicalExpression() - Constructor for class weka.core.MathematicalExpression
MathExpression - Class in weka.filters.unsupervised.attribute
  Modify numeric attributes according to a given expression

  Valid options are:

MathExpression() - Constructor for class weka.filters.unsupervised.attribute.MathExpression
  Constructor
Maths - Class in weka.core.matrix
  Utility class.
Maths() - Constructor for class weka.core.matrix.Maths
MatlabLoader - Class in weka.core.converters
  Reads a Matlab file containing a single matrix in ASCII format.
MatlabLoader() - Constructor for class weka.core.converters.MatlabLoader
MatlabSaver - Class in weka.core.converters
  Writes Matlab ASCII files, in single or double precision format.
MatlabSaver() - Constructor for class weka.core.converters.MatlabSaver
  Constructor.
matrix() - Method in class weka.classifiers.trees.j48.Distribution
  Returns matrix with distribution of class values.
Matrix - Class in weka.core
  Deprecated.
  Use `weka.core.matrix.Matrix` instead - only for backwards compatibility.
Matrix(int, int) - Constructor for class weka.core.Matrix
  Deprecated.
  Constructs a matrix and initializes it with default values.
Matrix(double[][]) - Constructor for class weka.core.Matrix
  Deprecated.
  Constructs a matrix using a given array.
Matrix(Reader) - Constructor for class weka.core.Matrix
  Deprecated.
  Reads a matrix from a reader.
Matrix - Class in weka.core.matrix
  Jama = Java Matrix class.
Matrix(int, int) - Constructor for class weka.core.matrix.Matrix
  Construct an m-by-n matrix of zeros.
Matrix(int, int, double) - Constructor for class weka.core.matrix.Matrix
  Construct an m-by-n constant matrix.
Matrix(double[][]) - Constructor for class weka.core.matrix.Matrix
  Construct a matrix from a 2-D array.
Matrix(double[][], int, int) - Constructor for class weka.core.matrix.Matrix
  Construct a matrix quickly without checking arguments.
Matrix(double[], int) - Constructor for class weka.core.matrix.Matrix
  Construct a matrix from a one-dimensional packed array
Matrix(Reader) - Constructor for class weka.core.matrix.Matrix
  Reads a matrix from a reader.
Matrix - Class in weka.core.pmml.jaxbbindings
  Java class for Matrix element declaration.
Matrix() - Constructor for class weka.core.pmml.jaxbbindings.Matrix
MATRIX_ON_DEMAND - Static variable in class weka.classifiers.meta.CostSensitiveClassifier
  load cost matrix on demand
MATRIX_SUPPLIED - Static variable in class weka.classifiers.meta.CostSensitiveClassifier
  use explicit cost matrix
MatrixPanel - Class in weka.gui.visualize
  This panel displays a plot matrix of the user selected attributes of a given data set.
MatrixPanel() - Constructor for class weka.gui.visualize.MatrixPanel
  Constructor
matrixToString(double[][]) - Static method in class weka.attributeSelection.PrincipalComponents
  Return a matrix as a String
matthewsCorrelationCoefficient(int) - Method in class weka.classifiers.evaluation.Evaluation
  Calculates the matthews correlation coefficient (sometimes called phi coefficient) for the supplied class
matthewsCorrelationCoefficient(int) - Method in class weka.classifiers.Evaluation
  Calculates the matthews correlation coefficient (sometimes called phi coefficient) for the supplied class
max() - Method in class weka.core.matrix.DoubleVector
  Returns the maximum value of all elements
MAX - Static variable in class weka.core.neighboursearch.KDTree
  The index of MAX value in attributes' range array.
MAX - Static variable in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Index of max value in an array of attributes' range.
max - Variable in class weka.experiment.Stats
  The maximum value seen, or Double.NaN if no values seen
MAX_DIGITS - Static variable in class weka.core.converters.SVMLightSaver
  the number of digits after the decimal point.
MAX_HISTORY_COUNT - Static variable in class weka.gui.GenericObjectEditorHistory
  the maximum entries in the history.
MAX_HISTORY_LENGTH - Static variable in class weka.gui.GenericObjectEditorHistory
  the maximum length of a caption in the history.
MAX_LINE_LENGTH - Static variable in class weka.gui.GenericObjectEditorHistory
  the menu max line length.
MAX_ROWS - Static variable in class weka.gui.sql.QueryPanel
  the name for the max rows in the history.
MAX_RULE - Static variable in class weka.classifiers.meta.Vote
  combination rule: Maximum Probability
MAX_SHAPES - Static variable in class weka.gui.visualize.Plot2D
MAX_SLEEP_TIME - Static variable in class weka.core.Memory
MAX_TABS - Static variable in class weka.gui.scripting.SyntaxDocument
  the maximum number of tabs.
maxBag() - Method in class weka.classifiers.trees.j48.Distribution
  Returns index of bag containing maximum number of instances.
maxBoostingIterationsTipText() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns the tip text for this property
maxCardinalityTipText() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
maxClass() - Method in class weka.classifiers.trees.j48.Distribution
  Returns class with highest frequency over all bags.
maxClass(int) - Method in class weka.classifiers.trees.j48.Distribution
  Returns class with highest frequency for given bag.
maxCountTipText() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Returns the tip text for this property
maxDecimalPlacesTipText() - Method in class weka.core.converters.ArffSaver
  Returns the tip text for this property.
maxDecimalPlacesTipText() - Method in class weka.core.converters.CSVSaver
  Returns the tip text for this property.
maxDefaultTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the tip text for this property
maxDepthTipText() - Method in class weka.classifiers.trees.RandomForest
  Returns the tip text for this property
maxDepthTipText() - Method in class weka.classifiers.trees.RandomTree
  Returns the tip text for this property
maxDepthTipText() - Method in class weka.classifiers.trees.REPTree
  Returns the tip text for this property
maxImpurity() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
  Returns the impurity of this split
maxImpurity() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
  Returns the impurity of this split
maxImpurity() - Method in class weka.classifiers.trees.m5.YongSplitInfo
  Returns the impurity of this split
maximumAttributeNamesTipText() - Method in class weka.attributeSelection.PrincipalComponents
  Returns the tip text for this property
maximumAttributeNamesTipText() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Returns the tip text for this property.
maximumAttributesTipText() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Returns the tip text for this property.
maximumNumberOfClustersTipText() - Method in class weka.clusterers.EM
  Returns the tip text for this property
maximumVariancePercentageAllowedTipText() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
  Returns the tip text for this property
maxIndex(double[]) - Static method in class weka.core.Utils
  Returns index of maximum element in a given array of doubles.
maxIndex(int[]) - Static method in class weka.core.Utils
  Returns index of maximum element in a given array of integers.
maxInstancesInLeafTipText() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Returns the tip text for this property.
maxInstInLeafTipText() - Method in class weka.core.neighboursearch.KDTree
  Tip text for this property.
maxInstNumTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns the tip text for this property
maxInstNumTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Returns the tip text for this property
maxIterationsTipText() - Method in class weka.clusterers.EM
  Returns the tip text for this property
maxIterationsTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property.
maxIterationsTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Returns the tip text for this property
maxItsTipText() - Method in class weka.classifiers.functions.Logistic
  Returns the tip text for this property
maxKTipText() - Method in class weka.classifiers.functions.VotedPerceptron
  Returns the tip text for this property
maxNrOfParentsTipText() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
maxNumberOfItemsTipText() - Method in class weka.associations.FPGrowth
  Tip text for this property suitable for displaying in the GUI.
maxNumCandidateCanopiesToHoldInMemory() - Method in class weka.clusterers.Canopy
  Returns the tip text for this property.
maxNumComponentsToolTipText() - Method in class weka.estimators.UnivariateMixtureEstimator
  The tool tip for this property.
maxParentSetSize(int) - Method in class weka.classifiers.bayes.net.ParentSet
  reserve memory for parent set
maxRadiusTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns the tip text for this property
maxRangeTipText() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Returns the tip text for this property
maxRelativeLeafRadiusTipText() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Returns the tip text for this property.
maxRuleSizeTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Returns the tip text for this property
maxSubsequenceLengthTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the tip text for this property
maxThresholdTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the tip text for this property
MAYBE_SUPPORT - Static variable in class weka.gui.GenericObjectEditor.GOETreeNode
  color for "maybe support".
mayRemoveInstanceAfterFirstBatchDone() - Method in class weka.filters.Filter
  Default implementation returns false.
mayRemoveInstanceAfterFirstBatchDone() - Method in class weka.filters.MultiFilter
  RemoveWithValues may return false from input() (thus not making an instance available immediately) even after the first batch has been completed due to matching a value that the user wants to remove.
mayRemoveInstanceAfterFirstBatchDone() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  RemoveWithValues may return false from input() (thus not making an instance available immediately) even after the first batch has been completed due to matching a value that the user wants to remove.
mayRemoveInstanceAfterFirstBatchDone() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  SubsetByExpression may return false from input() (thus not making an instance available immediately) even after the first batch has been completed if the user has opted to apply the filter to instances after the first batch (rather than just passing them through).
MDL - Static variable in interface weka.classifiers.bayes.net.search.local.Scoreable
mean(double[]) - Static method in class weka.core.Utils
  Computes the mean for an array of doubles.
mean - Variable in class weka.experiment.Stats
  The mean of values at the last calculateDerived() call
meanAbsoluteError() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the mean absolute error.
meanAbsoluteError() - Method in class weka.classifiers.Evaluation
  Returns the mean absolute error.
meanOrMode(int) - Method in class weka.core.Instances
  Returns the mean (mode) for a numeric (nominal) attribute as a floating-point value.
meanOrMode(Attribute) - Method in class weka.core.Instances
  Returns the mean (mode) for a numeric (nominal) attribute as a floating-point value.
meanPrecTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
meanPriorAbsoluteError() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the mean absolute error of the prior.
meanPriorAbsoluteError() - Method in class weka.classifiers.Evaluation
  Returns the mean absolute error of the prior.
meanSquaredTipText() - Method in class weka.classifiers.lazy.IBk
  Returns the tip text for this property.
meanStddevTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Returns the tip text for this property
meanWidthTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
measureAICScore() - Method in class weka.classifiers.bayes.BayesNet
measureAttributesUsed() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns the fraction of all attributes in the data that are used in the logistic model (in percent).
measureBayesScore() - Method in class weka.classifiers.bayes.BayesNet
measureBDeuScore() - Method in class weka.classifiers.bayes.BayesNet
measureBestNumIts() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the best number of iterations
measureBestVal() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the measure for the best model
measureDivergence() - Method in class weka.classifiers.bayes.BayesNet
measureEntropyScore() - Method in class weka.classifiers.bayes.BayesNet
measureExtraArcs() - Method in class weka.classifiers.bayes.BayesNet
measureMaxDepth() - Method in class weka.core.neighboursearch.BallTree
  Returns the depth of the tree.
measureMaxDepth() - Method in class weka.core.neighboursearch.CoverTree
  Returns the depth of the tree.
measureMaxDepth() - Method in class weka.core.neighboursearch.KDTree
  Returns the depth of the tree.
measureMDLScore() - Method in class weka.classifiers.bayes.BayesNet
measureMissingArcs() - Method in class weka.classifiers.bayes.BayesNet
measureNumAttributesSelected() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Additional measure --- number of attributes selected
measureNumIterations() - Method in class weka.classifiers.meta.AdditiveRegression
  return the number of iterations (base classifiers) completed
measureNumLeaves() - Method in class weka.classifiers.trees.J48
  Returns the number of leaves
measureNumLeaves() - Method in class weka.classifiers.trees.LMT
  Returns the number of leaves in the tree
measureNumLeaves() - Method in class weka.core.neighboursearch.BallTree
  Returns the number of leaves.
measureNumLeaves() - Method in class weka.core.neighboursearch.CoverTree
  Returns the number of leaves.
measureNumLeaves() - Method in class weka.core.neighboursearch.KDTree
  Returns the number of leaves.
measureNumRules() - Method in class weka.classifiers.rules.DecisionTable
  Returns the number of rules
measureNumRules() - Method in class weka.classifiers.rules.PART
  Return the number of rules.
measureNumRules() - Method in class weka.classifiers.trees.J48
  Returns the number of rules (same as number of leaves)
measureNumRules() - Method in class weka.classifiers.trees.m5.M5Base
  return the number of rules
measureOutOfBagError() - Method in class weka.classifiers.meta.Bagging
  Gets the out of bag error that was calculated as the classifier was built.
measureOutOfBagError() - Method in class weka.classifiers.trees.RandomForest
  Gets the out of bag error that was calculated as the classifier was built.
measurePerformanceTipText() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Returns the tip text for this property.
measureReversedArcs() - Method in class weka.classifiers.bayes.BayesNet
measureSelectionTime() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Additional measure --- time taken (milliseconds) to select the attributes
measureTime() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Additional measure --- time taken (milliseconds) to select attributes and build the classifier
measureTreeSize() - Method in class weka.classifiers.trees.J48
  Returns the size of the tree
measureTreeSize() - Method in class weka.classifiers.trees.LMT
  Returns the size of the tree
measureTreeSize() - Method in class weka.core.neighboursearch.BallTree
  Returns the size of the tree.
measureTreeSize() - Method in class weka.core.neighboursearch.CoverTree
  Returns the size of the tree.
measureTreeSize() - Method in class weka.core.neighboursearch.KDTree
  Returns the size of the tree.
MEDIAN_RULE - Static variable in class weka.classifiers.meta.Vote
  combination rule: Median Probability (only numeric class)
MedianDistanceFromArbitraryPoint - Class in weka.core.neighboursearch.balltrees
  Class that splits a BallNode of a ball tree using Uhlmann's described method.
  For information see:
  Jeffrey K.
MedianDistanceFromArbitraryPoint() - Constructor for class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
  Constructor.
MedianDistanceFromArbitraryPoint(int[], Instances, EuclideanDistance) - Constructor for class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
  Constructor.
MedianOfWidestDimension - Class in weka.core.neighboursearch.balltrees
  Class that splits a BallNode of a ball tree based on the median value of the widest dimension of the points in the ball.
MedianOfWidestDimension() - Constructor for class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Constructor.
MedianOfWidestDimension(int[], Instances, EuclideanDistance) - Constructor for class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Constructor.
MedianOfWidestDimension - Class in weka.core.neighboursearch.kdtrees
  The class that splits a KDTree node based on the median value of a dimension in which the node's points have the widest spread.
  For more information see also:
  Jerome H.
MedianOfWidestDimension() - Constructor for class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
Memory - Class in weka.core
  A little helper class for Memory management.
Memory() - Constructor for class weka.core.Memory
  initializes the memory management without GUI support
Memory(boolean) - Constructor for class weka.core.Memory
  initializes the memory management
memoryIsLow() - Method in class weka.core.Memory
  Checks to see if memory is running low.
MemoryUsagePanel - Class in weka.gui
  A panel for displaying the memory usage.
MemoryUsagePanel() - Constructor for class weka.gui.MemoryUsagePanel
  default constructor.
mergeAllItemSets(ArrayList<Object>, int, int) - Static method in class weka.associations.AprioriItemSet
  Merges all item sets in the set of (k-1)-item sets to create the (k)-item sets and updates the counters.
mergeAllItemSets(ArrayList<Object>, int, int) - Static method in class weka.associations.ItemSet
  Merges all item sets in the set of (k-1)-item sets to create the (k)-item sets and updates the counters.
mergeAllItemSets(ArrayList<Object>, int, int) - Static method in class weka.associations.LabeledItemSet
  Merges all item sets in the set of (k-1)-item sets to create the (k)-item sets and updates the counters.
MergeInfrequentNominalValues - Class in weka.filters.unsupervised.attribute
  Merges all values of the specified nominal attribute that are sufficiently infrequent.
MergeInfrequentNominalValues() - Constructor for class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
mergeInstance(Instance) - Method in class weka.core.BinarySparseInstance
  Merges this instance with the given instance and returns the result.
mergeInstance(Instance) - Method in class weka.core.DenseInstance
  Merges this instance with the given instance and returns the result.
mergeInstance(Instance) - Method in interface weka.core.Instance
  Merges this instance with the given instance and returns the result.
mergeInstance(Instance) - Method in class weka.core.SparseInstance
  Merges this instance with the given instance and returns the result.
mergeInstances(Instances, Instances) - Static method in class weka.core.Instances
  Merges two sets of Instances together.
MergeManyValues - Class in weka.filters.unsupervised.attribute
  Merges many values of a nominal attribute into one value.
MergeManyValues() - Constructor for class weka.filters.unsupervised.attribute.MergeManyValues
MergeNominalValues - Class in weka.filters.supervised.attribute
  Merges values of all nominal attributes among the specified attributes, excluding the class attribute, using the CHAID method, but without considering to re-split merged subsets.
MergeNominalValues() - Constructor for class weka.filters.supervised.attribute.MergeNominalValues
MergeTwoValues - Class in weka.filters.unsupervised.attribute
  Merges two values of a nominal attribute into one value.
MergeTwoValues() - Constructor for class weka.filters.unsupervised.attribute.MergeTwoValues
mergeValueRangeTipText() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Returns the tip text for this property.
MetaBean - Class in weka.gui.beans
  A meta bean that encapsulates several other regular beans, useful for grouping large KnowledgeFlows.
MetaBean() - Constructor for class weka.gui.beans.MetaBean
metaClassifierTipText() - Method in class weka.classifiers.meta.Stacking
  Returns the tip text for this property
METHOD_1_AGAINST_1 - Static variable in class weka.classifiers.meta.MultiClassClassifier
  1-against-1
METHOD_1_AGAINST_ALL - Static variable in class weka.classifiers.meta.MultiClassClassifier
  1-against-all
METHOD_ERROR_EXHAUSTIVE - Static variable in class weka.classifiers.meta.MultiClassClassifier
  exhaustive correction code
METHOD_ERROR_RANDOM - Static variable in class weka.classifiers.meta.MultiClassClassifier
  random correction code
MethodHandler - Class in weka.core.xml
  This class handles relationships between display names of properties (or classes) and Methods that are associated with them.
MethodHandler() - Constructor for class weka.core.xml.MethodHandler
  initializes the handler
methodNameTipText() - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Returns the tip text for this property
methodTipText() - Method in class weka.classifiers.meta.MultiClassClassifier
metricIsMaximisable(String) - Method in class weka.classifiers.evaluation.EvaluationMetricHelper
  Returns true if the named metric is maximisable
metricString() - Method in class weka.associations.Apriori
  Returns the metric string for the chosen metric type
metricString() - Method in interface weka.associations.CARuleMiner
  Gets name of the scoring metric used for car mining
metricTypeTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
metricTypeTipText() - Method in class weka.associations.FPGrowth
  Tip text for this property suitable for displaying in the GUI.
MexicanHat - Class in weka.datagenerators.classifiers.regression
  A data generator for the simple 'Mexian Hat' function:
  y = sin|x| / |x|
  In addition to this simple function, the amplitude can be changed and gaussian noise can be added.
MexicanHat() - Constructor for class weka.datagenerators.classifiers.regression.MexicanHat
  initializes the generator
MiddleOutConstructor - Class in weka.core.neighboursearch.balltrees
  The class that builds a BallTree middle out.
  For more information see also:
  Andrew W.
MiddleOutConstructor() - Constructor for class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Creates a new instance of MiddleOutConstructor.
MidPointOfWidestDimension - Class in weka.core.neighboursearch.kdtrees
  The class that splits a KDTree node based on the midpoint value of a dimension in which the node's points have the widest spread.
  For more information see also:
  Andrew Moore (1991).
MidPointOfWidestDimension() - Constructor for class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
MIN - Static variable in class weka.core.neighboursearch.KDTree
  The index of MIN value in attributes' range array.
MIN - Static variable in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Index of min value in an array of attributes' range.
min - Variable in class weka.experiment.Stats
  The minimum value seen, or Double.NaN if no values seen
MIN_RULE - Static variable in class weka.classifiers.meta.Vote
  combination rule: Minimum Probability
minAbsoluteCoefficientValueTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
minBoxRelWidthTipText() - Method in class weka.core.neighboursearch.KDTree
  Tip text for this property.
minBucketSizeTipText() - Method in class weka.classifiers.rules.OneR
  Returns the tip text for this property
minDataDLIfDeleted(int, double, boolean) - Method in class weka.classifiers.rules.RuleStats
  Compute the minimal data description length of the ruleset if the rule in the given position is deleted.
  The min_data_DL_if_deleted = data_DL_if_deleted - potential
minDataDLIfExists(int, double, boolean) - Method in class weka.classifiers.rules.RuleStats
  Compute the minimal data description length of the ruleset if the rule in the given position is NOT deleted.
  The min_data_DL_if_n_deleted = data_DL_if_n_deleted - potential
minDefaultTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the tip text for this property
mineCARs(Instances) - Method in class weka.associations.Apriori
  Method that mines all class association rules with minimum support and with a minimum confidence.
mineCARs(Instances) - Method in interface weka.associations.CARuleMiner
  Method for mining class association rules.
minimalTipText() - Method in class weka.classifiers.functions.LinearRegression
  Returns the tip text for this property.
minimizeAbsoluteErrorTipText() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns the tip text for this property
minimizeExpectedCostTipText() - Method in class weka.classifiers.meta.CostSensitiveClassifier
minimizeWindows() - Method in class weka.gui.Main
  minimizes all windows.
minimumBucketSizeTipText() - Method in class weka.attributeSelection.OneRAttributeEval
  Returns a string for this option suitable for display in the gui as a tip text
minimumCanopyDensityTipText() - Method in class weka.clusterers.Canopy
  Returns the tip text for this property.
minimumFractionOfWeightInfoGainTipText() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns the tip text for this property
minimumFrequencyTipText() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Returns the tip text for this property
minIndex(int[]) - Static method in class weka.core.Utils
  Returns index of minimum element in a given array of integers.
minIndex(double[]) - Static method in class weka.core.Utils
  Returns index of minimum element in a given array of doubles.
MiningBuildTask - Class in weka.core.pmml.jaxbbindings
  Java class for MiningBuildTask element declaration.
MiningBuildTask() - Constructor for class weka.core.pmml.jaxbbindings.MiningBuildTask
MiningField - Class in weka.core.pmml.jaxbbindings
  Java class for MiningField element declaration.
MiningField() - Constructor for class weka.core.pmml.jaxbbindings.MiningField
MiningField(String, FIELDUSAGETYPE) - Constructor for class weka.core.pmml.jaxbbindings.MiningField
MiningField(String, FIELDUSAGETYPE, MISSINGVALUETREATMENTMETHOD, String) - Constructor for class weka.core.pmml.jaxbbindings.MiningField
MiningFieldMetaInfo - Class in weka.core.pmml
  Class encapsulating information about a MiningField.
MiningFieldMetaInfo(Element) - Constructor for class weka.core.pmml.MiningFieldMetaInfo
  Constructs a new MiningFieldMetaInfo object.
MININGFUNCTION - Enum in weka.core.pmml.jaxbbindings
  Java class for MINING-FUNCTION.
MiningModel - Class in weka.core.pmml.jaxbbindings
  Java class for MiningModel element declaration.
MiningModel() - Constructor for class weka.core.pmml.jaxbbindings.MiningModel
MiningSchema - Class in weka.core.pmml.jaxbbindings
  Java class for MiningSchema element declaration.
MiningSchema() - Constructor for class weka.core.pmml.jaxbbindings.MiningSchema
MiningSchema - Class in weka.core.pmml
  This class encapsulates the mining schema from a PMML xml file.
MiningSchema(Element, Instances, TransformationDictionary) - Constructor for class weka.core.pmml.MiningSchema
  Constructor for MiningSchema.
minInstNumTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns the tip text for this property
minInstNumTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Returns the tip text for this property
Minkowski - Class in weka.core.pmml.jaxbbindings
  Java class for minkowski element declaration.
Minkowski() - Constructor for class weka.core.pmml.jaxbbindings.Minkowski
MinkowskiDistance - Class in weka.core
  Implementing Minkowski distance (or similarity) function.
  One object defines not one distance but the data model in which the distances between objects of that data model can be computed.
  Attention: For efficiency reasons the use of consistency checks (like are the data models of the two instances exactly the same), is low.
  For more information, see:
  Wikipedia.
MinkowskiDistance() - Constructor for class weka.core.MinkowskiDistance
  Constructs an Minkowski Distance object, Instances must be still set.
MinkowskiDistance(Instances) - Constructor for class weka.core.MinkowskiDistance
  Constructs an Minkowski Distance object and automatically initializes the ranges.
minLogLikelihoodImprovementCVTipText() - Method in class weka.clusterers.EM
  Returns the tip text for this property
minLogLikelihoodImprovementIteratingTipText() - Method in class weka.clusterers.EM
  Returns the tip text for this property
minMetricTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
minMetricTipText() - Method in class weka.associations.FPGrowth
  Returns the tip text for this property
minNoTipText() - Method in class weka.classifiers.rules.JRip
  Returns the tip text for this property
minNumInstancesTipText() - Method in class weka.classifiers.trees.LMT
  Returns the tip text for this property
minNumInstancesTipText() - Method in class weka.classifiers.trees.m5.M5Base
  Returns the tip text for this property
minNumObjTipText() - Method in class weka.classifiers.rules.PART
  Returns the tip text for this property
minNumObjTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
minNumTipText() - Method in class weka.classifiers.trees.RandomTree
  Returns the tip text for this property
minNumTipText() - Method in class weka.classifiers.trees.REPTree
  Returns the tip text for this property
MINOR - Static variable in class weka.core.Version
  the minor version
minProb - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
  used/reused to hold the smallest transformation probability
minRadiusTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns the tip text for this property
minRangeTipText() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Returns the tip text for this property
minRuleSizeTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Returns the tip text for this property
minsAndMaxs(Instances, double[][], int) - Method in class weka.classifiers.trees.j48.C45Split
  Returns the minsAndMaxs of the index.th subset.
minStdDevTipText() - Method in class weka.clusterers.EM
  Returns the tip text for this property
minStdDevTipText() - Method in class weka.clusterers.MakeDensityBasedClusterer
  Returns the tip text for this property
minTermFreqTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
minThresholdTipText() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Returns the tip text for this property
MINUS - Static variable in interface weka.core.mathematicalexpression.sym
minus(double) - Method in class weka.core.matrix.DoubleVector
  Subtracts a value
minus(DoubleVector) - Method in class weka.core.matrix.DoubleVector
  Subtracts another DoubleVector element by element
minus(Matrix) - Method in class weka.core.matrix.Matrix
  C = A - B
MINUS - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
minusEquals(double) - Method in class weka.core.matrix.DoubleVector
  Subtracts a value in place
minusEquals(DoubleVector) - Method in class weka.core.matrix.DoubleVector
  Subtracts another DoubleVector element by element in place
minusEquals(Matrix) - Method in class weka.core.matrix.Matrix
  A = A - B
minVariancePropTipText() - Method in class weka.classifiers.trees.RandomTree
  Returns the tip text for this property
minVariancePropTipText() - Method in class weka.classifiers.trees.REPTree
  Returns the tip text for this property
minWordFrequencyTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the tip text for this property
minWordFrequencyTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
MISSING_SHAPE - Static variable in class weka.gui.visualize.Plot2D
MISSING_VALUE - Static variable in interface weka.classifiers.evaluation.Prediction
  Constant representing a missing value.
MISSING_VALUE - Static variable in class weka.core.json.JSONInstances
  the missing value indicator.
missingArcs(BayesNet) - Method in class weka.classifiers.bayes.net.BIFReader
  Count nr of arcs missing from other network compared to current network Note that an arc is not 'missing' if it is reversed.
missingCount - Variable in class weka.core.AttributeStats
  The number of missing values
missingMergeTipText() - Method in class weka.attributeSelection.GainRatioAttributeEval
  Returns the tip text for this property
missingMergeTipText() - Method in class weka.attributeSelection.InfoGainAttributeEval
  Returns the tip text for this property
missingMergeTipText() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  Returns the tip text for this property
missingModeTipText() - Method in class weka.classifiers.lazy.KStar
  Returns the tip text for this property
missingSeparateTipText() - Method in class weka.attributeSelection.CfsSubsetEval
  Returns the tip text for this property
missingValue() - Static method in class weka.core.Utils
  Returns the value used to code a missing value.
MISSINGVALUESTRATEGY - Enum in weka.core.pmml.jaxbbindings
  Java class for MISSING-VALUE-STRATEGY.
missingValueTipText() - Method in class weka.core.converters.CSVLoader
  Returns the tip text for this property.
missingValueTipText() - Method in class weka.core.converters.CSVSaver
  Returns the tip text for this property.
MISSINGVALUETREATMENTMETHOD - Enum in weka.core.pmml.jaxbbindings
  Java class for MISSING-VALUE-TREATMENT-METHOD.
MissingValueWeights - Class in weka.core.pmml.jaxbbindings
  Java class for MissingValueWeights element declaration.
MissingValueWeights() - Constructor for class weka.core.pmml.jaxbbindings.MissingValueWeights
MODEL_FILE_EXTENSION - Static variable in class weka.gui.explorer.ClassifierPanel
  The filename extension that should be used for model files.
MODEL_FILE_EXTENSION - Static variable in class weka.gui.explorer.ClustererPanel
  The filename extension that should be used for model files
modelBuilt() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  flag to indicate whether the model was built yet
modelDistributionForInstance(Instance) - Method in class weka.classifiers.trees.lmt.LMTNode
  Returns the class probabilities for an instance according to the logistic model at the node.
ModelExplanation - Class in weka.core.pmml.jaxbbindings
  Java class for ModelExplanation element declaration.
ModelExplanation() - Constructor for class weka.core.pmml.jaxbbindings.ModelExplanation
modelFileTipText() - Method in class weka.classifiers.misc.SerializedClassifier
  Returns the tip text for this property
ModelLiftGraph - Class in weka.core.pmml.jaxbbindings
  Java class for ModelLiftGraph element declaration.
ModelLiftGraph() - Constructor for class weka.core.pmml.jaxbbindings.ModelLiftGraph
modelPathTipText() - Method in class weka.classifiers.misc.InputMappedClassifier
  Returns the tip text for this property
ModelPerformanceChart - Class in weka.gui.beans
  Bean that can be used for displaying threshold curves (e.g.
ModelPerformanceChart() - Constructor for class weka.gui.beans.ModelPerformanceChart
ModelPerformanceChartBeanInfo - Class in weka.gui.beans
  Bean info class for the model performance chart
ModelPerformanceChartBeanInfo() - Constructor for class weka.gui.beans.ModelPerformanceChartBeanInfo
ModelPerformanceChartCustomizer - Class in weka.gui.beans
  GUI customizer for model performance chart.
ModelPerformanceChartCustomizer() - Constructor for class weka.gui.beans.ModelPerformanceChartCustomizer
  Constructor
ModelSelection - Class in weka.classifiers.trees.j48
  Abstract class for model selection criteria.
ModelSelection() - Constructor for class weka.classifiers.trees.j48.ModelSelection
ModelStats - Class in weka.core.pmml.jaxbbindings
  Java class for ModelStats element declaration.
ModelStats() - Constructor for class weka.core.pmml.jaxbbindings.ModelStats
modelsToString() - Method in class weka.classifiers.trees.lmt.LMTNode
  Returns a string describing the logistic regression function at the node.
ModelVerification - Class in weka.core.pmml.jaxbbindings
  Java class for ModelVerification element declaration.
ModelVerification() - Constructor for class weka.core.pmml.jaxbbindings.ModelVerification
modifyHeaderTipText() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Returns the tip text for this property
modifyHeaderTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns the tip text for this property
momentumTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
moralize(BayesNet) - Method in class weka.classifiers.bayes.net.MarginCalculator
  moralize DAG and calculate adjacency matrix representation for a Bayes Network, effecively converting the directed acyclic graph to an undirected graph.
mostRecentVersionWithRespectToConstraint(PackageConstraint) - Static method in class weka.core.WekaPackageManager
  Find the most recent version of the package encapsulated in the supplied PackageConstraint argument that satisfies the constraint
mouseClicked(MouseEvent) - Method in class weka.gui.arffviewer.ArffPanel
  Invoked when a mouse button has been pressed and released on a component
mouseClicked(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
  Does nothing.
mouseDragged(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
  Performs intermediate updates to what the user wishes to do.
mouseEntered(MouseEvent) - Method in class weka.gui.arffviewer.ArffPanel
  Invoked when the mouse enters a component.
mouseEntered(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
  Does nothing.
mouseExited(MouseEvent) - Method in class weka.gui.arffviewer.ArffPanel
  Invoked when the mouse exits a component
mouseExited(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
  Does nothing.
mouseMoved(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
  Does nothing.
mousePressed(MouseEvent) - Method in class weka.gui.arffviewer.ArffPanel
  Invoked when a mouse button has been pressed on a component
mousePressed(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
  Determines what action the user wants to perform.
mouseReleased(MouseEvent) - Method in class weka.gui.arffviewer.ArffPanel
  Invoked when a mouse button has been released on a component.
mouseReleased(MouseEvent) - Method in class weka.gui.treevisualizer.TreeVisualizer
  Performs the final stages of what the user wants to perform.
move(File, File) - Static method in class weka.gui.scripting.ScriptUtils
  Moves the file/directory (recursively).
MOVE_DOWN - Static variable in class weka.gui.JListHelper
  moves items down
MOVE_UP - Static variable in class weka.gui.JListHelper
  moves items up
moveBottom(JList) - Static method in class weka.gui.JListHelper
  moves the selected items to the end
moveDown(JList) - Static method in class weka.gui.JListHelper
  moves the selected item down by 1
moveTop(JList) - Static method in class weka.gui.JListHelper
  moves the selected items to the top
moveUp(JList) - Static method in class weka.gui.JListHelper
  moves the selected items up by 1
MSE() - Method in class weka.estimators.UnivariateMixtureEstimator.MM
  Returns average of squared errors for current model.
MultiClassClassifier - Class in weka.classifiers.meta
  A metaclassifier for handling multi-class datasets with 2-class classifiers.
MultiClassClassifier() - Constructor for class weka.classifiers.meta.MultiClassClassifier
  Constructor.
MultiClassClassifierUpdateable - Class in weka.classifiers.meta
  A metaclassifier for handling multi-class datasets with 2-class classifiers.
MultiClassClassifierUpdateable() - Constructor for class weka.classifiers.meta.MultiClassClassifierUpdateable
  Constructor
MultiFilter - Class in weka.filters
  Applies several filters successively.
MultiFilter() - Constructor for class weka.filters.MultiFilter
MultiInstanceCapabilitiesHandler - Interface in weka.core
  Multi-Instance classifiers can specify an additional Capabilities object for the data in the relational attribute, since the format of multi-instance data is fixed to "bag/NOMINAL,data/RELATIONAL,class".
MultilayerPerceptron - Class in weka.classifiers.functions
  A Classifier that uses backpropagation to classify instances.
  This network can be built by hand, created by an algorithm or both.
MultilayerPerceptron() - Constructor for class weka.classifiers.functions.MultilayerPerceptron
  The constructor.
MultiNomialBMAEstimator - Class in weka.classifiers.bayes.net.estimate
  Multinomial BMA Estimator.
MultiNomialBMAEstimator() - Constructor for class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
MultipleClassifiersCombiner - Class in weka.classifiers
  Abstract utility class for handling settings common to meta classifiers that build an ensemble from multiple classifiers.
MultipleClassifiersCombiner() - Constructor for class weka.classifiers.MultipleClassifiersCombiner
MULTIPLEMODELMETHOD - Enum in weka.core.pmml.jaxbbindings
  Java class for MULTIPLE-MODEL-METHOD.
multiply(Matrix) - Method in class weka.core.Matrix
  Deprecated.
  Returns the multiplication of two matrices
multiResultsetFull(int, int) - Method in class weka.experiment.PairedTTester
  Creates a comparison table where a base resultset is compared to the other resultsets.
multiResultsetFull(int, int) - Method in interface weka.experiment.Tester
  Creates a comparison table where a base resultset is compared to the other resultsets.
multiResultsetRanking(int) - Method in class weka.experiment.PairedTTester
  returns a ranking of the resultsets
multiResultsetRanking(int) - Method in interface weka.experiment.Tester
multiResultsetSummary(int) - Method in class weka.experiment.PairedTTester
  Carries out a comparison between all resultsets, counting the number of datsets where one resultset outperforms the other.
multiResultsetSummary(int) - Method in interface weka.experiment.Tester
  Carries out a comparison between all resultsets, counting the number of datsets where one resultset outperforms the other.
multiResultsetWins(int, int[][]) - Method in class weka.experiment.PairedTTester
  Carries out a comparison between all resultsets, counting the number of datsets where one resultset outperforms the other.
multiResultsetWins(int, int[][]) - Method in interface weka.experiment.Tester
  Carries out a comparison between all resultsets, counting the number of datsets where one resultset outperforms the other.
MultiScheme - Class in weka.classifiers.meta
  Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data.
MultiScheme() - Constructor for class weka.classifiers.meta.MultiScheme
MultiStopwords - Class in weka.core.stopwords
  Applies the specified stopwords algorithms one after other.
  As soon as a word has been identified as stopword, the loop is exited.
MultiStopwords() - Constructor for class weka.core.stopwords.MultiStopwords
MultivariateEstimator - Interface in weka.estimators
  Interface to Multivariate Distribution Estimation
MultivariateGaussianEstimator - Class in weka.estimators
  Implementation of Multivariate Distribution Estimation using Normal Distribution.
MultivariateGaussianEstimator() - Constructor for class weka.estimators.MultivariateGaussianEstimator
MultivariateGaussianEstimator(double[], double[][]) - Constructor for class weka.estimators.MultivariateGaussianEstimator
MultivariateStat - Class in weka.core.pmml.jaxbbindings
  Java class for MultivariateStat element declaration.
MultivariateStat() - Constructor for class weka.core.pmml.jaxbbindings.MultivariateStat
MultivariateStats - Class in weka.core.pmml.jaxbbindings
  Java class for MultivariateStats element declaration.
MultivariateStats() - Constructor for class weka.core.pmml.jaxbbindings.MultivariateStats

## N

NaiveBayes - Class in weka.classifiers.bayes
  Class for a Naive Bayes classifier using estimator classes.
NaiveBayes() - Constructor for class weka.classifiers.bayes.NaiveBayes
NaiveBayes - Class in weka.classifiers.bayes.net.search.fixed
  The NaiveBayes class generates a fixed Bayes network structure with arrows from the class variable to each of the attribute variables.
NaiveBayes() - Constructor for class weka.classifiers.bayes.net.search.fixed.NaiveBayes
NaiveBayesModel - Class in weka.core.pmml.jaxbbindings
  Java class for NaiveBayesModel element declaration.
NaiveBayesModel() - Constructor for class weka.core.pmml.jaxbbindings.NaiveBayesModel
NaiveBayesMultinomial - Class in weka.classifiers.bayes
  Class for building and using a multinomial Naive Bayes classifier.
NaiveBayesMultinomial() - Constructor for class weka.classifiers.bayes.NaiveBayesMultinomial
NaiveBayesMultinomialText - Class in weka.classifiers.bayes
  Multinomial naive bayes for text data.
NaiveBayesMultinomialText() - Constructor for class weka.classifiers.bayes.NaiveBayesMultinomialText
NaiveBayesMultinomialUpdateable - Class in weka.classifiers.bayes
  Class for building and using a multinomial Naive Bayes classifier.
NaiveBayesMultinomialUpdateable() - Constructor for class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
naiveBayesPredictionThresholdTipText() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns the tip text for this property
NaiveBayesUpdateable - Class in weka.classifiers.bayes
  Class for a Naive Bayes classifier using estimator classes.
NaiveBayesUpdateable() - Constructor for class weka.classifiers.bayes.NaiveBayesUpdateable
name() - Method in class weka.core.Attribute
  Returns the attribute's name.
NAME - Static variable in class weka.core.json.JSONInstances
  the name attribute.
name() - Method in class weka.core.Option
  Returns the option's name.
NAME_CLASSFIRST - Static variable in class weka.experiment.xml.XMLExperiment
  the name of the classFirst property
NAME_PROPERTYNODE_PARENTCLASS - Static variable in class weka.experiment.xml.XMLExperiment
  PropertyNode member
NAME_PROPERTYNODE_PROPERTY - Static variable in class weka.experiment.xml.XMLExperiment
  PropertyNode member
NAME_PROPERTYNODE_VALUE - Static variable in class weka.experiment.xml.XMLExperiment
  PropertyNode member
NamedColor - Class in weka.gui.treevisualizer
  This class contains a color name and the rgb values of that color
NamedColor(String, int, int, int) - Constructor for class weka.gui.treevisualizer.NamedColor
nameTipText() - Method in class weka.filters.unsupervised.attribute.AddExpression
  Returns the tip text for this property
NBNode - Class in weka.classifiers.trees.ht
  Implements a LearningNode that uses a naive Bayes model
NBNode(Instances, double) - Constructor for class weka.classifiers.trees.ht.NBNode
  Construct a new NBNode
NBNodeAdaptive - Class in weka.classifiers.trees.ht
  Implements a LearningNode that chooses between using majority class or naive Bayes for prediction
NBNodeAdaptive(Instances, double) - Constructor for class weka.classifiers.trees.ht.NBNodeAdaptive
  Constructor
NBTreeClassifierTree - Class in weka.classifiers.trees.j48
  Class for handling a naive bayes tree structure used for classification.
NBTreeClassifierTree(ModelSelection) - Constructor for class weka.classifiers.trees.j48.NBTreeClassifierTree
NBTreeModelSelection - Class in weka.classifiers.trees.j48
  Class for selecting a NB tree split.
NBTreeModelSelection(int, Instances) - Constructor for class weka.classifiers.trees.j48.NBTreeModelSelection
  Initializes the split selection method with the given parameters.
NBTreeNoSplit - Class in weka.classifiers.trees.j48
  Class implementing a "no-split"-split (leaf node) for naive bayes trees.
NBTreeNoSplit() - Constructor for class weka.classifiers.trees.j48.NBTreeNoSplit
NBTreeSplit - Class in weka.classifiers.trees.j48
  Class implementing a NBTree split on an attribute.
NBTreeSplit(int, int, double) - Constructor for class weka.classifiers.trees.j48.NBTreeSplit
  Initializes the split model.
NDConditionalEstimator - Class in weka.estimators
  Conditional probability estimator for a numeric domain conditional upon a discrete domain (utilises separate normal estimators for each discrete conditioning value).
NDConditionalEstimator(int, double) - Constructor for class weka.estimators.NDConditionalEstimator
  Constructor
NearestNeighborModel - Class in weka.core.pmml.jaxbbindings
  Java class for NearestNeighborModel element declaration.
NearestNeighborModel() - Constructor for class weka.core.pmml.jaxbbindings.NearestNeighborModel
nearestNeighbour(Instance) - Method in class weka.core.neighboursearch.BallTree
  Returns the nearest instance in the current neighbourhood to the supplied instance.
nearestNeighbour(Instance) - Method in class weka.core.neighboursearch.CoverTree
  Returns the NN instance of a given target instance, from among the previously supplied training instances.
nearestNeighbour(Instance) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Returns the nearest neighbour for the given instance based on distance measured in the filtered space.
nearestNeighbour(Instance) - Method in class weka.core.neighboursearch.KDTree
  Returns the nearest neighbour of the supplied target instance.
nearestNeighbour(Instance) - Method in class weka.core.neighboursearch.LinearNNSearch
  Returns the nearest instance in the current neighbourhood to the supplied instance.
nearestNeighbour(Instance) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Returns the nearest instance in the current neighbourhood to the supplied instance.
NearestNeighbourSearch - Class in weka.core.neighboursearch
  Abstract class for nearest neighbour search.
NearestNeighbourSearch() - Constructor for class weka.core.neighboursearch.NearestNeighbourSearch
  Constructor.
NearestNeighbourSearch(Instances) - Constructor for class weka.core.neighboursearch.NearestNeighbourSearch
  Constructor.
nearestNeighbourSearchAlgorithmTipText() - Method in class weka.classifiers.lazy.IBk
  Returns the tip text for this property.
nearestNeighbourSearchAlgorithmTipText() - Method in class weka.classifiers.lazy.LWL
  Returns the tip text for this property.
needExponentialFormat(double) - Method in class weka.core.matrix.FlexibleDecimalFormat
needsUID(String) - Static method in class weka.core.SerializationHelper
  checks whether a class needs to declare a serialVersionUID, i.e., it implements the java.io.Serializable interface but doesn't declare a serialVersionUID.
needsUID(Class<?>) - Static method in class weka.core.SerializationHelper
  checks whether a class needs to declare a serialVersionUID, i.e., it implements the java.io.Serializable interface but doesn't declare a serialVersionUID.
NeuralConnection - Class in weka.classifiers.functions.neural
  Abstract unit in a NeuralNetwork.
NeuralConnection(String) - Constructor for class weka.classifiers.functions.neural.NeuralConnection
  Constructs The unit with the basic connection information prepared for use.
NeuralInput - Class in weka.core.pmml.jaxbbindings
  Java class for NeuralInput element declaration.
NeuralInput() - Constructor for class weka.core.pmml.jaxbbindings.NeuralInput
NeuralInputs - Class in weka.core.pmml.jaxbbindings
  Java class for NeuralInputs element declaration.
NeuralInputs() - Constructor for class weka.core.pmml.jaxbbindings.NeuralInputs
NeuralLayer - Class in weka.core.pmml.jaxbbindings
  Java class for NeuralLayer element declaration.
NeuralLayer() - Constructor for class weka.core.pmml.jaxbbindings.NeuralLayer
NeuralMethod - Interface in weka.classifiers.functions.neural
  This is an interface used to create classes that can be used by the neuralnode to perform all it's computations.
NeuralNetwork - Class in weka.classifiers.pmml.consumer
  Class implementing import of PMML Neural Network model.
NeuralNetwork(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.NeuralNetwork
NeuralNetwork - Class in weka.core.pmml.jaxbbindings
  Java class for NeuralNetwork element declaration.
NeuralNetwork() - Constructor for class weka.core.pmml.jaxbbindings.NeuralNetwork
NeuralNode - Class in weka.classifiers.functions.neural
  This class is used to represent a node in the neuralnet.
NeuralNode(String, Random, NeuralMethod) - Constructor for class weka.classifiers.functions.neural.NeuralNode
NeuralOutput - Class in weka.core.pmml.jaxbbindings
  Java class for NeuralOutput element declaration.
NeuralOutput() - Constructor for class weka.core.pmml.jaxbbindings.NeuralOutput
NeuralOutputs - Class in weka.core.pmml.jaxbbindings
  Java class for NeuralOutputs element declaration.
NeuralOutputs() - Constructor for class weka.core.pmml.jaxbbindings.NeuralOutputs
Neuron - Class in weka.core.pmml.jaxbbindings
  Java class for Neuron element declaration.
Neuron() - Constructor for class weka.core.pmml.jaxbbindings.Neuron
NEW_BATCH - Static variable in class weka.gui.beans.IncrementalClassifierEvent
newClassLoader() - Static method in class weka.core.scripting.Groovy
  initializes and returns a Groovy Interpreter.
newClock() - Static method in class weka.core.Debug
  returns a new instance of a clock
newDataFormat(DataSetEvent) - Method in class weka.gui.beans.ClassAssignerCustomizer
newDataFormat(DataSetEvent) - Method in interface weka.gui.beans.DataFormatListener
  Recieve a DataSetEvent that encapsulates a new data format.
newDocument(String, String) - Method in class weka.core.xml.XMLDocument
  creates a new Document with the given information.
newEnt(Distribution) - Method in class weka.classifiers.trees.j48.EntropyBasedSplitCrit
  Computes entropy of distribution after splitting.
Newick - Static variable in interface weka.core.Drawable
newInstance(File, Class<?>) - Static method in class weka.core.scripting.Groovy
  loads the module and returns a new instance of it as instance of the provided Java class template.
newInstance(File, Class<?>) - Static method in class weka.core.scripting.Jython
  loads the module and returns a new instance of it as instance of the provided Java class template.
newInstance(File, Class<?>, File[]) - Static method in class weka.core.scripting.Jython
  loads the module and returns a new instance of it as instance of the provided Java class template.
newInterpreter() - Static method in class weka.core.scripting.Jython
  initializes and returns a Python Interpreter
newLog(String, int, int) - Static method in class weka.core.Debug
  returns a new Log instance
newNominalRule(Attribute, Instances, int[]) - Method in class weka.classifiers.rules.OneR
  Create a rule branching on this nominal attribute.
newNumericRule(Attribute, Instances, int[]) - Method in class weka.classifiers.rules.OneR
  Create a rule branching on this numeric attribute
newRandom() - Static method in class weka.core.Debug
  returns a default debug random object, with no particular seed and debugging enabled.
newRandom(int) - Static method in class weka.core.Debug
  returns a debug random object with the specified seed and debugging enabled.
newRule(Attribute, Instances) - Method in class weka.classifiers.rules.OneR
  Create a rule branching on this attribute.
newThread(String[]) - Method in class weka.gui.scripting.GroovyScript
  Returns a new thread to execute.
newThread(String[]) - Method in class weka.gui.scripting.JythonScript
  Returns a new thread to execute.
newThread(String[]) - Method in class weka.gui.scripting.Script
  Returns a new thread to execute.
newTimestamp() - Static method in class weka.core.Debug
  returns a default timestamp for the current date/time
next() - Method in interface weka.classifiers.IterativeClassifier
  Performs one iteration.
next - Variable in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
  next table entry (separate chaining)
next() - Method in class weka.classifiers.meta.AdaBoostM1
  Perform the next boosting iteration.
next() - Method in class weka.classifiers.meta.AdditiveRegression
  Perform another iteration.
next() - Method in class weka.classifiers.meta.FilteredClassifier
  Performs one iteration.
next() - Method in class weka.classifiers.meta.LogitBoost
  Perform another iteration of boosting.
next() - Method in class weka.core.Trie.TrieIterator
  Returns the next element in the iteration.
next_token() - Method in class weka.core.json.Scanner
  Resumes scanning until the next regular expression is matched, the end of input is encountered or an I/O-Error occurs.
next_token() - Method in class weka.core.mathematicalexpression.Scanner
  Resumes scanning until the next regular expression is matched, the end of input is encountered or an I/O-Error occurs.
next_token() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  Resumes scanning until the next regular expression is matched, the end of input is encountered or an I/O-Error occurs.
nextBoolean() - Method in class weka.core.Debug.Random
  Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBytes(byte[]) - Method in class weka.core.Debug.Random
  Generates random bytes and places them into a user-supplied byte array.
nextDouble() - Method in class weka.core.Debug.Random
  Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextElement(Instances) - Method in class weka.core.converters.ConverterUtils.DataSource
  returns the next element and sets the specified dataset, null if none available.
nextElement() - Method in class weka.core.tokenizers.AlphabeticTokenizer
  returns the next element
nextElement() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Returns N-grams and also (N-1)-grams and ....
nextElement() - Method in class weka.core.tokenizers.NGramTokenizer
  Returns N-grams and also (N-1)-grams and ....
nextElement() - Method in class weka.core.tokenizers.Tokenizer
  Returns the next element of this enumeration if this enumeration object has at least one more element to provide.
nextElement() - Method in class weka.core.tokenizers.WordTokenizer
  Returns the next element of this enumeration if this enumeration object has at least one more element to provide.
nextElement() - Method in class weka.core.WekaEnumeration
  Returns the next element.
nextErlang(int) - Method in class weka.core.RandomVariates
  Generate a value of a variate following standard Erlang distribution.
nextExponential() - Method in class weka.core.RandomVariates
  Generate a value of a variate following standard exponential distribution using simple inverse method.
nextFloat() - Method in class weka.core.Debug.Random
  Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextGamma(double) - Method in class weka.core.RandomVariates
  Generate a value of a variate following standard Gamma distribution with shape parameter a.
nextGaussian() - Method in class weka.core.Debug.Random
  Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextInt() - Method in class weka.core.Debug.Random
  Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in class weka.core.Debug.Random
  Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextIteration() - Method in class weka.experiment.Experiment
  Carries out the next iteration of the experiment.
nextIteration() - Method in class weka.experiment.RemoteExperiment
  Overides the one in Experiment
nextLong() - Method in class weka.core.Debug.Random
  Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
NGramMaxSizeTipText() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Returns the tip text for this property.
NGramMaxSizeTipText() - Method in class weka.core.tokenizers.NGramTokenizer
  Returns the tip text for this property.
NGramMinSizeTipText() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Returns the tip text for this property.
NGramMinSizeTipText() - Method in class weka.core.tokenizers.NGramTokenizer
  Returns the tip text for this property.
NGramTokenizer - Class in weka.core.tokenizers
  Splits a string into an n-gram with min and max grams.
NGramTokenizer() - Constructor for class weka.core.tokenizers.NGramTokenizer
NNConditionalEstimator - Class in weka.estimators
  Conditional probability estimator for a numeric domain conditional upon a numeric domain (using Mahalanobis distance).
NNConditionalEstimator() - Constructor for class weka.estimators.NNConditionalEstimator
NNNORMALIZATIONMETHOD - Enum in weka.core.pmml.jaxbbindings
  Java class for NN-NORMALIZATION-METHOD.
NO_CLASS - Static variable in class weka.associations.CheckAssociator
  a "dummy" class type
NO_CLASS - Static variable in class weka.core.TestInstances
  can be used to avoid generating a class attribute
NO_CLASS - Static variable in class weka.gui.SetInstancesPanel
  the text denoting "no class" in the class combobox.
NO_COMMAND - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
NO_SUPPORT - Static variable in class weka.gui.GenericObjectEditor.GOETreeNode
  color for "no support".
Node - Class in weka.core.pmml.jaxbbindings
  Java class for Node element declaration.
Node() - Constructor for class weka.core.pmml.jaxbbindings.Node
Node - Class in weka.gui.treevisualizer
  This class records all the data about a particular node for displaying.
Node(String, String, int, int, Color, String) - Constructor for class weka.gui.treevisualizer.Node
  This will setup all the values of the node except for its top and center.
NodePlace - Interface in weka.gui.treevisualizer
  This is an interface for classes that wish to take a node structure and arrange them
nodeSplitterTipText() - Method in class weka.core.neighboursearch.KDTree
  Returns the tip text for this property.
nodeToString() - Method in class weka.classifiers.trees.m5.RuleNode
  Returns a description of this node (debugging purposes)
nodeType - Variable in class weka.gui.graphvisualizer.GraphNode
  Type of node.
noHeaderRowPresentTipText() - Method in class weka.core.converters.CSVLoader
  Returns the tip text for this property.
noHeaderRowTipText() - Method in class weka.core.converters.CSVSaver
  Returns the tip text for this property.
noisePercentTipText() - Method in class weka.datagenerators.classifiers.classification.LED24
  Returns the tip text for this property
noiseRateTipText() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Returns the tip text for this property
noiseRateTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns the tip text for this property
noiseRateTipText() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Returns the tip text for this property
noiseTipText() - Method in class weka.classifiers.functions.GaussianProcesses
  Returns the tip text for this property
noiseVarianceTipText() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Returns the tip text for this property
NOMINAL - Static variable in class weka.core.Attribute
  Constant set for nominal attributes.
NominalAttributeInfo - Class in weka.core
  Stores information for nominal and string attributes.
NominalAttributeInfo(List<String>, String) - Constructor for class weka.core.NominalAttributeInfo
  Constructs the info based on argument.
nominalAttributesTipText() - Method in class weka.core.converters.CSVLoader
  Returns the tip text for this property.
nominalColsTipText() - Method in class weka.datagenerators.ClusterGenerator
  Returns the tip text for this property
NominalConditionalSufficientStats - Class in weka.classifiers.trees.ht
  Maintains sufficient stats for the distribution of a nominal attribute
NominalConditionalSufficientStats() - Constructor for class weka.classifiers.trees.ht.NominalConditionalSufficientStats
nominalCounts - Variable in class weka.core.AttributeStats
  Counts of each nominal value
nominalIndicesTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns the tip text for this property
NominalItem - Class in weka.associations
  Class that encapsulates a nominal item.
NominalItem(Attribute, int) - Constructor for class weka.associations.NominalItem
  Constructs a new NominalItem.
nominalLabelSpecsTipText() - Method in class weka.core.converters.CSVLoader
  Returns the tip text for this property.
nominalLabelsTipText() - Method in class weka.filters.unsupervised.attribute.Add
  Returns the tip text for this property.
NominalPrediction - Class in weka.classifiers.evaluation
  Encapsulates an evaluatable nominal prediction: the predicted probability distribution plus the actual class value.
NominalPrediction(double, double[]) - Constructor for class weka.classifiers.evaluation.NominalPrediction
  Creates the NominalPrediction object with a default weight of 1.0.
NominalPrediction(double, double[], double) - Constructor for class weka.classifiers.evaluation.NominalPrediction
  Creates the NominalPrediction object.
nominalStringReplacementValueTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Tip text for this property suitable for displaying in the GUI.
NominalToBinary - Class in weka.filters.supervised.attribute
  Converts all nominal attributes into binary numeric attributes.
NominalToBinary() - Constructor for class weka.filters.supervised.attribute.NominalToBinary
NominalToBinary - Class in weka.filters.unsupervised.attribute
  Converts all nominal attributes into binary numeric attributes.
NominalToBinary() - Constructor for class weka.filters.unsupervised.attribute.NominalToBinary
  Constructor - initialises the filter
nominalToBinaryFilterTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
NominalToString - Class in weka.filters.unsupervised.attribute
  Converts a nominal attribute (i.e.
NominalToString() - Constructor for class weka.filters.unsupervised.attribute.NominalToString
nominalWeights - Variable in class weka.core.AttributeStats
  Weight mass for each nominal value
NON_NUMERIC - Static variable in class weka.filters.unsupervised.attribute.InterquartileRange
  indicator for non-numeric attributes
NONE - Static variable in interface weka.core.converters.Loader
  The retrieval modes
NONE - Static variable in interface weka.core.converters.Saver
  The retrieval modes
NONE - Static variable in class weka.gui.visualize.VisualizePanelEvent
  No longer used
nonEmptyCanopySetIntersection(long[], long[]) - Static method in class weka.clusterers.Canopy
  Tests if two sets of canopies have a non-empty intersection
NonSparseToSparse - Class in weka.filters.unsupervised.instance
  An instance filter that converts all incoming instances into sparse format.
NonSparseToSparse() - Constructor for class weka.filters.unsupervised.instance.NonSparseToSparse
noPruningTipText() - Method in class weka.classifiers.trees.REPTree
  Returns the tip text for this property
noReplacementTipText() - Method in class weka.filters.supervised.instance.Resample
  Returns the tip text for this property.
noReplacementTipText() - Method in class weka.filters.unsupervised.instance.Resample
  Returns the tip text for this property
norm() - Method in class weka.core.AlgVector
  Returns the norm of the vector
norm1() - Method in class weka.core.matrix.DoubleVector
  Returns the L1-norm of the vector
norm1() - Method in class weka.core.matrix.Matrix
  One norm
norm2() - Method in class weka.core.matrix.DoubleVector
  Returns the L2-norm of the vector
norm2() - Method in class weka.core.matrix.Matrix
  Two norm
norm2() - Method in class weka.core.matrix.SingularValueDecomposition
  Two norm
NORM_EXPECTED_COST_NAME - Static variable in class weka.classifiers.evaluation.CostCurve
  attribute name: Normalized Expected Cost
NORMAL - Static variable in interface weka.gui.graphvisualizer.GraphConstants
  NORMAL node - node actually contained in graphs description
normalDistribution - Static variable in class weka.core.matrix.Maths
  Distribution type: noraml
NormalEstimator - Class in weka.estimators
  Simple probability estimator that places a single normal distribution over the observed values.
NormalEstimator(double) - Constructor for class weka.estimators.NormalEstimator
  Constructor that takes a precision argument.
normalInverse(double) - Static method in class weka.core.Statistics
  Returns the value, `x`, for which the area under the Normal (Gaussian) probability density function (integrated from minus infinity to `x`) is equal to the argument `y` (assumes mean is zero, variance is one).
NormalizableDistance - Class in weka.core
  Represents the abstract ancestor for normalizable distance functions, like Euclidean or Manhattan distance.
NormalizableDistance() - Constructor for class weka.core.NormalizableDistance
  Invalidates the distance function, Instances must be still set.
NormalizableDistance(Instances) - Constructor for class weka.core.NormalizableDistance
  Initializes the distance function and automatically initializes the ranges.
normalize() - Method in class weka.classifiers.CostMatrix
  Normalizes the matrix so that the diagonal contains zeros.
normalize(double[]) - Static method in class weka.core.Utils
  Normalizes the doubles in the array by their sum.
normalize(double[], double) - Static method in class weka.core.Utils
  Normalizes the doubles in the array using the given value.
Normalize - Class in weka.filters.unsupervised.attribute
  Normalizes all numeric values in the given dataset (apart from the class attribute, if set).
Normalize() - Constructor for class weka.filters.unsupervised.attribute.Normalize
normalizeAttributesTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
normalizeDimWidthsTipText() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Returns the tip text for this property.
normalizedKernel(char[], char[]) - Method in class weka.classifiers.functions.supportVector.StringKernel
  evaluates the normalized kernel between s and t.
normalizeDocLengthTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the tip text for this property
normalizeDocLengthTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
normalizeDocLengthTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
NormalizedPolyKernel - Class in weka.classifiers.functions.supportVector
  The normalized polynomial kernel.
  K(x,y) = <x,y>/sqrt(<x,x><y,y>) where <x,y> = PolyKernel(x,y)

  Valid options are:

NormalizedPolyKernel() - Constructor for class weka.classifiers.functions.supportVector.NormalizedPolyKernel
  default constructor - does nothing
NormalizedPolyKernel(Instances, int, double, boolean) - Constructor for class weka.classifiers.functions.supportVector.NormalizedPolyKernel
  Creates a new `NormalizedPolyKernel` instance.
normalizeNodeWidthTipText() - Method in class weka.core.neighboursearch.KDTree
  Tip text for this property.
normalizeNumericClassTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
normalProbability(double) - Static method in class weka.core.Statistics
  Returns the area under the Normal (Gaussian) probability density function, integrated from minus infinity to `x` (assumes mean is zero, variance is one).
NormContinuous - Class in weka.core.pmml.jaxbbindings
  Java class for NormContinuous element declaration.
NormContinuous() - Constructor for class weka.core.pmml.jaxbbindings.NormContinuous
NormContinuous - Class in weka.core.pmml
  Class encapsulating a NormContinuous Expression.
NormContinuous(Element, FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.NormContinuous
NormDiscrete - Class in weka.core.pmml.jaxbbindings
  Java class for NormDiscrete element declaration.
NormDiscrete() - Constructor for class weka.core.pmml.jaxbbindings.NormDiscrete
NormDiscrete(String, String) - Constructor for class weka.core.pmml.jaxbbindings.NormDiscrete
NormDiscrete - Class in weka.core.pmml
  Class encapsulating a NormDiscrete Expression.
NormDiscrete(Element, FieldMetaInfo.Optype, ArrayList<Attribute>) - Constructor for class weka.core.pmml.NormDiscrete
  Constructor.
normF() - Method in class weka.core.matrix.Matrix
  Frobenius norm
normInf() - Method in class weka.core.matrix.Matrix
  Infinity norm
normTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the tip text for this property
normTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
normVector() - Method in class weka.core.AlgVector
  Norms this vector to length 1.0
NORTH_CONNECTOR - Static variable in class weka.gui.beans.BeanVisual
noSizeDeterminationTipText() - Method in class weka.experiment.ClassifierSplitEvaluator
  Returns the tip text for this property
noSizeDeterminationTipText() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Returns the tip text for this property
noSizeDeterminationTipText() - Method in class weka.experiment.RegressionSplitEvaluator
  Returns the tip text for this property
NoSplit - Class in weka.classifiers.trees.j48
  Class implementing a "no-split"-split.
NoSplit(Distribution) - Constructor for class weka.classifiers.trees.j48.NoSplit
  Creates "no-split"-split for given distribution.
NoSupportForMissingValuesException - Exception in weka.core
  Exception that is raised by an object that is unable to process data with missing values.
NoSupportForMissingValuesException() - Constructor for exception weka.core.NoSupportForMissingValuesException
  Creates a new NoSupportForMissingValuesException with no message.
NoSupportForMissingValuesException(String) - Constructor for exception weka.core.NoSupportForMissingValuesException
  Creates a new NoSupportForMissingValuesException.
NOT - Static variable in interface weka.core.mathematicalexpression.sym
NOT - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
NOT_DRAWABLE - Static variable in interface weka.core.Drawable
notCoveredInstances() - Method in class weka.classifiers.trees.m5.Rule
  Get the instances not covered by this rule
Note - Class in weka.gui.beans
  Simple bean for displaying a textual note on the layout.
Note() - Constructor for class weka.gui.beans.Note
  Constructor
NoteBeanInfo - Class in weka.gui.beans
  Bean info class for the Note bean.
NoteBeanInfo() - Constructor for class weka.gui.beans.NoteBeanInfo
NoteCustomizer - Class in weka.gui.beans
  Customizer for the note component.
NoteCustomizer() - Constructor for class weka.gui.beans.NoteCustomizer
  Constructs a new note customizer
notifyCapabilitiesFilterListener(Capabilities) - Method in class weka.gui.explorer.Explorer
  notifies all the listeners of a change
notifyListener() - Method in class weka.gui.arffviewer.ArffPanel
  notfies all listener of the change
notifyListener(TableModelEvent) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  notfies all listener of the change of the model
notifyListener(TableModelEvent) - Method in class weka.gui.arffviewer.ArffTableModel
  notfies all listener of the change of the model
NOTRUECHILDSTRATEGY - Enum in weka.core.pmml.jaxbbindings
  Java class for NO-TRUE-CHILD-STRATEGY.
nrOfGoodOperationsTipText() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
nrOfLookAheadStepsTipText() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
Null - Class in weka.classifiers.evaluation.output.prediction
  Suppresses all output.
Null() - Constructor for class weka.classifiers.evaluation.output.prediction.Null
NULL - Static variable in interface weka.core.json.sym
Null - Class in weka.core.stopwords
  Dummy stopwords scheme, always returns false.
Null() - Constructor for class weka.core.stopwords.Null
NullStemmer - Class in weka.core.stemmers
  A dummy stemmer that performs no stemming at all.
NullStemmer() - Constructor for class weka.core.stemmers.NullStemmer
NUM_RAND_COLS - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
numAllConditions(Instances) - Static method in class weka.classifiers.rules.RuleStats
  Compute the number of all possible conditions that could appear in a rule of a given data.
numArcsTipText() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Returns the tip text for this property
numArguments() - Method in class weka.core.Option
  Returns the option's number of arguments.
numAttributes() - Method in class weka.core.DenseInstance
  Returns the number of attributes.
numAttributes() - Method in interface weka.core.Instance
  Returns the number of attributes.
numAttributes() - Method in class weka.core.Instances
  Returns the number of attributes.
numAttributes() - Method in class weka.core.SparseInstance
  Returns the number of attributes.
numAttributesTipText() - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Returns the tip text for this property
numAttributesTipText() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Returns the tip text for this property
numAttributesTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Returns the tip text for this property
numAttributesTipText() - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Returns the tip text for this property
numAttributesTipText() - Method in class weka.datagenerators.ClusterGenerator
  Returns the tip text for this property
numAttributesTipText() - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Returns the tip text for this property.
numBags() - Method in class weka.classifiers.trees.j48.Distribution
  Returns number of bags.
NUMBER - Static variable in interface weka.core.mathematicalexpression.sym
NUMBER - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
numberAttributesSelected() - Method in class weka.attributeSelection.AttributeSelection
  Return the number of attributes selected from the most recent run of attribute selection
numberOfAttributesTipText() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Returns the tip text for this property
numberOfClusters() - Method in class weka.clusterers.AbstractClusterer
  Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.Canopy
numberOfClusters() - Method in interface weka.clusterers.Clusterer
  Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.Cobweb
  Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.EM
  Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.FarthestFirst
  Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.HierarchicalClusterer
numberOfClusters() - Method in class weka.clusterers.MakeDensityBasedClusterer
  Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.SimpleKMeans
  Returns the number of clusters.
numberOfClusters() - Method in class weka.clusterers.SingleClustererEnhancer
  Returns the number of clusters.
NumberOfClustersRequestable - Interface in weka.clusterers
  Interface to a clusterer that can generate a requested number of clusters
numberOfLinearModels() - Method in class weka.classifiers.trees.m5.RuleNode
  Get the number of linear models in the tree
numBinsTipText() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns the tip text for this property
numBoostingIterationsTipText() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns the tip text for this property
numBoostingIterationsTipText() - Method in class weka.classifiers.trees.LMT
  Returns the tip text for this property
numBootstrapRunsToolTipText() - Method in class weka.estimators.UnivariateMixtureEstimator
  The tool tip for this property.
numCacheHits() - Method in class weka.classifiers.functions.supportVector.CachedKernel
  Returns the number of cache hits on dot products.
numCacheHits() - Method in class weka.classifiers.functions.supportVector.Kernel
  Returns the number of dot product cache hits.
numCacheHits() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Returns the number of dot product cache hits.
numCacheHits() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the number of dot product cache hits.
numCentroidsTipText() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Returns the tip text for this property
numChildred() - Method in class weka.classifiers.trees.ht.SplitNode
  Number of child nodes
numChildren() - Method in class weka.gui.HierarchyPropertyParser
  The number of the children nodes.
numClassAttributeValues() - Method in class weka.classifiers.functions.SMO
numClasses() - Method in class weka.classifiers.trees.j48.Distribution
  Returns number of classes.
numClasses() - Method in class weka.core.AbstractInstance
  Returns the number of class labels.
numClasses() - Method in interface weka.core.Instance
  Returns the number of class labels.
numClasses() - Method in class weka.core.Instances
  Returns the number of class labels.
numClassesTipText() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Returns the tip text for this property
numClassesTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Returns the tip text for this property
numClustersTipText() - Method in class weka.clusterers.Canopy
  Returns the tip text for this property.
numClustersTipText() - Method in class weka.clusterers.EM
  Returns the tip text for this property
numClustersTipText() - Method in class weka.clusterers.FarthestFirst
  Returns the tip text for this property
numClustersTipText() - Method in class weka.clusterers.HierarchicalClusterer
numClustersTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property.
numClustersTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns the tip text for this property
numColumns() - Method in class weka.classifiers.CostMatrix
  Same as size
numColumns() - Method in class weka.core.Matrix
  Deprecated.
  Returns the number of columns in the matrix.
numComponentsToolTipText() - Method in class weka.estimators.UnivariateMixtureEstimator
  The tool tip for this property.
numCorrect() - Method in class weka.classifiers.trees.j48.Distribution
  Returns perClass(maxClass()).
numCorrect(int) - Method in class weka.classifiers.trees.j48.Distribution
  Returns perClassPerBag(index,maxClass(index)).
numCyclesTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns the tip text for this property
numDecimalsTipText() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns the tip text for this property.
numDistinctValues(int) - Method in class weka.core.Instances
  Returns the number of distinct values of a given attribute.
numDistinctValues(Attribute) - Method in class weka.core.Instances
  Returns the number of distinct values of a given attribute.
numElements() - Method in class weka.classifiers.functions.supportVector.SMOset
  Returns the number of elements in the set.
numElements() - Method in class weka.classifiers.meta.Bagging
  Returns the number of elements in the partition.
numElements() - Method in class weka.classifiers.meta.FilteredClassifier
  Returns the number of elements in the partition.
numElements() - Method in class weka.classifiers.meta.RandomCommittee
  Returns the number of elements in the partition.
numElements() - Method in class weka.classifiers.trees.J48
  Returns the number of elements in the partition.
numElements() - Method in class weka.classifiers.trees.RandomForest
  Returns the number of elements in the partition.
numElements() - Method in class weka.classifiers.trees.RandomTree
  Returns the number of elements in the partition.
numElements() - Method in class weka.classifiers.trees.REPTree
  Returns the number of elements in the partition.
numElements() - Method in class weka.core.AlgVector
  Returns the number of elements in the vector.
numElements() - Method in interface weka.core.PartitionGenerator
  Returns the number of elements in the partition.
numEntriesInClassDistribution() - Method in class weka.classifiers.trees.ht.HNode
  The size of the class distribution
NUMERIC - Static variable in class weka.core.Attribute
  Constant set for numeric attributes.
NumericCleaner - Class in weka.filters.unsupervised.attribute
  A filter that 'cleanses' the numeric data from values that are too small, too big or very close to a certain value (e.g., 0) and sets these values to a pre-defined default.
NumericCleaner() - Constructor for class weka.filters.unsupervised.attribute.NumericCleaner
NumericInfo - Class in weka.core.pmml.jaxbbindings
  Java class for NumericInfo element declaration.
NumericInfo() - Constructor for class weka.core.pmml.jaxbbindings.NumericInfo
NumericItem - Class in weka.associations
  Class that encapsulates a numeric item.
NumericItem(Attribute, double, NumericItem.Comparison) - Constructor for class weka.associations.NumericItem
  Constructs a new `NumericItem`
NumericItem.Comparison - Enum in weka.associations
NumericPrediction - Class in weka.classifiers.evaluation
  Encapsulates an evaluatable numeric prediction: the predicted class value plus the actual class value.
NumericPrediction(double, double) - Constructor for class weka.classifiers.evaluation.NumericPrediction
  Creates the NumericPrediction object with a default weight of 1.0.
NumericPrediction(double, double, double) - Constructor for class weka.classifiers.evaluation.NumericPrediction
  Creates the NumericPrediction object.
NumericPrediction(double, double, double, double[][]) - Constructor for class weka.classifiers.evaluation.NumericPrediction
  Creates the NumericPrediction object.
NumericPredictor - Class in weka.core.pmml.jaxbbindings
  Java class for NumericPredictor element declaration.
NumericPredictor() - Constructor for class weka.core.pmml.jaxbbindings.NumericPredictor
NumericPredictor(String, BigInteger, double) - Constructor for class weka.core.pmml.jaxbbindings.NumericPredictor
numericReplacementValueTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Tip text for this property suitable for displaying in the GUI.
numericStats - Variable in class weka.core.AttributeStats
  Stats on numeric value distributions
numericTipText() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
NumericToBinary - Class in weka.filters.unsupervised.attribute
  Converts all numeric attributes into binary attributes (apart from the class attribute, if set): if the value of the numeric attribute is exactly zero, the value of the new attribute will be zero.
NumericToBinary() - Constructor for class weka.filters.unsupervised.attribute.NumericToBinary
NumericToNominal - Class in weka.filters.unsupervised.attribute
  A filter for turning numeric attributes into nominal ones.
NumericToNominal() - Constructor for class weka.filters.unsupervised.attribute.NumericToNominal
NumericTransform - Class in weka.filters.unsupervised.attribute
  Transforms numeric attributes using a given transformation method.
NumericTransform() - Constructor for class weka.filters.unsupervised.attribute.NumericTransform
  Default constructor -- sets the default transform method to java.lang.Math.abs().
numEvals() - Method in class weka.classifiers.functions.supportVector.CachedKernel
  Returns the number of time Eval has been called.
numEvals() - Method in class weka.classifiers.functions.supportVector.Kernel
  Returns the number of kernel evaluation performed.
numEvals() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Returns the number of kernel evaluation performed.
numEvals() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the number of kernel evaluation performed.
numExamplesTipText() - Method in class weka.datagenerators.ClassificationGenerator
  Returns the tip text for this property
numExamplesTipText() - Method in class weka.datagenerators.RegressionGenerator
  Returns the tip text for this property
numExecutionSlotsTipText() - Method in class weka.attributeSelection.GreedyStepwise
numExecutionSlotsTipText() - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
  Returns the tip text for this property
numExecutionSlotsTipText() - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
  Returns the tip text for this property
numExecutionSlotsTipText() - Method in class weka.classifiers.trees.RandomForest
  Returns the tip text for this property
numExecutionSlotsTipText() - Method in class weka.clusterers.EM
  Returns the tip text for this property
numExecutionSlotsTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property
numFalseNegatives(int) - Method in class weka.classifiers.evaluation.Evaluation
  Calculate number of false negatives with respect to a particular class.
numFalseNegatives(int) - Method in class weka.classifiers.Evaluation
  Calculate number of false negatives with respect to a particular class.
numFalsePositives(int) - Method in class weka.classifiers.evaluation.Evaluation
  Calculate number of false positives with respect to a particular class.
numFalsePositives(int) - Method in class weka.classifiers.Evaluation
  Calculate number of false positives with respect to a particular class.
numFeaturesTipText() - Method in class weka.classifiers.trees.RandomForest
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.functions.SMO
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.meta.CVParameterSelection
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.meta.MultiScheme
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.meta.Stacking
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.rules.PART
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.trees.RandomTree
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.classifiers.trees.REPTree
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.clusterers.EM
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.experiment.CrossValidationResultProducer
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Returns the tip text for this property
numFoldsTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Returns the tip text for this property
numIncorrect() - Method in class weka.classifiers.trees.j48.Distribution
  Returns total-numCorrect().
numIncorrect(int) - Method in class weka.classifiers.trees.j48.Distribution
  Returns perBag(index)-numCorrect(index).
numInstances() - Method in class weka.classifiers.evaluation.Evaluation
  Gets the number of test instances that had a known class value (actually the sum of the weights of test instances with known class value).
numInstances() - Method in class weka.classifiers.Evaluation
  Gets the number of test instances that had a known class value (actually the sum of the weights of test instances with known class value).
numInstances() - Method in class weka.core.Instances
  Returns the number of instances in the dataset.
numInstances() - Method in class weka.core.neighboursearch.balltrees.BallNode
  Returns the number of instances in the hyper-spherical region of this node.
numInstances() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
  Returns the number of Instances in the rectangular region defined by this node.
numIrrelevantTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Returns the tip text for this property
numIterationsTipText() - Method in class weka.classifiers.functions.VotedPerceptron
  Returns the tip text for this property
numIterationsTipText() - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
  Returns the tip text for this property
numKMeansRunsTipText() - Method in class weka.clusterers.EM
  Returns the tip text for this property
numLeaves() - Method in class weka.classifiers.trees.j48.ClassifierTree
  Returns number of leaves in tree structure.
numLeaves() - Method in class weka.classifiers.trees.lmt.LMTNode
  Returns the number of leaves (normal count).
numLeaves(int) - Method in class weka.classifiers.trees.m5.RuleNode
  Sets the leaves' numbers
numNeighboursTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Returns the tip text for this property
numNodes() - Method in class weka.classifiers.trees.j48.ClassifierTree
  Returns number of nodes in tree structure.
numNodes() - Method in class weka.classifiers.trees.lmt.LMTNode
  Returns the number of nodes.
numNodes() - Method in class weka.classifiers.trees.REPTree
  Computes size of the tree.
numNonZero() - Method in class weka.core.pmml.SparseArray
  Get the number of non-zero values in this sparse array
numNumericTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Returns the tip text for this property
numParameters() - Method in class weka.classifiers.functions.LinearRegression
  Get the number of coefficients used in the model
numParameters() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
  Return the number of parameters (coefficients) in the linear model
numPendingOutput() - Method in class weka.filters.Filter
  Returns the number of instances pending output
numPendingOutput() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Returns the number of instances pending output
numRepositoryPackages() - Static method in class weka.core.WekaPackageManager
  Get the number of packages that are available at the repository.
numRows() - Method in class weka.classifiers.CostMatrix
  Same as size
numRows() - Method in class weka.core.Matrix
  Deprecated.
  Returns the number of rows in the matrix.
numRules() - Method in class weka.classifiers.rules.part.MakeDecList
  Outputs the number of rules in the classifier.
numRulesTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
numRulesToFindTipText() - Method in class weka.associations.FPGrowth
  Tip text for this property suitable for displaying in the GUI.
numRunsTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the tip text for this property
numSplits() - Method in class weka.classifiers.trees.ht.SplitCandidate
  Number of branches resulting from the split
numSubsets() - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Returns the number of created subsets for the split.
numThreadsTipText() - Method in class weka.attributeSelection.CfsSubsetEval
numThreadsTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
numThreadsTipText() - Method in class weka.classifiers.meta.LogitBoost
numToSelectTipText() - Method in class weka.attributeSelection.GreedyStepwise
  Returns the tip text for this property
numToSelectTipText() - Method in class weka.attributeSelection.Ranker
  Returns the tip text for this property
numTreesTipText() - Method in class weka.classifiers.trees.RandomForest
  Returns the tip text for this property
numTrueNegatives(int) - Method in class weka.classifiers.evaluation.Evaluation
  Calculate the number of true negatives with respect to a particular class.
numTrueNegatives(int) - Method in class weka.classifiers.Evaluation
  Calculate the number of true negatives with respect to a particular class.
numTruePositives(int) - Method in class weka.classifiers.evaluation.Evaluation
  Calculate the number of true positives with respect to a particular class.
numTruePositives(int) - Method in class weka.classifiers.Evaluation
  Calculate the number of true positives with respect to a particular class.
numValues() - Method in class weka.core.Attribute
  Returns the number of attribute values.
numValues() - Method in class weka.core.DenseInstance
  Returns the number of values present.
numValues() - Method in interface weka.core.Instance
  Returns the number of values present in a sparse representation.
numValues() - Method in class weka.core.pmml.Array
  Get the number of values in this array.
numValues() - Method in class weka.core.pmml.SparseArray
  Get the number of values in this array.
numValues() - Method in class weka.core.SparseInstance
  Returns the number of values in the sparse vector.
numValuesTipText() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Returns the tip text for this property

## O

Obfuscate - Class in weka.filters.unsupervised.attribute
  A simple instance filter that renames the relation, all attribute names and all nominal (and string) attribute values.
Obfuscate() - Constructor for class weka.filters.unsupervised.attribute.Obfuscate
ObjectFactory - Class in weka.core.pmml.jaxbbindings
  This object contains factory methods for each Java content interface and Java element interface generated in the weka.core.pmml.jaxbbindings package.
ObjectFactory() - Constructor for class weka.core.pmml.jaxbbindings.ObjectFactory
  Create a new ObjectFactory that can be used to create new instances of schema derived classes for package: weka.core.pmml.jaxbbindings
obtainVotes(Instance) - Method in class weka.classifiers.functions.SMO
  Returns an array of votes for the given instance.
OFF - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
OFF - Static variable in class weka.core.Debug
  the log level Off - i.e., no logging
OffscreenChartRenderer - Interface in weka.gui.beans
  Interface to something that can render certain types of charts in headless mode.
oldEnt(Distribution) - Method in class weka.classifiers.trees.j48.EntropyBasedSplitCrit
  Computes entropy of distribution before splitting.
omegaTipText() - Method in class weka.classifiers.functions.supportVector.Puk
  Returns the tip text for this property
ON - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
  Some usefull constants
onDemandDirectoryTipText() - Method in class weka.classifiers.meta.CostSensitiveClassifier
onDemandDirectoryTipText() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
  Returns the tip text for this property
OneR - Class in weka.classifiers.rules
  Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing numeric attributes.
OneR() - Constructor for class weka.classifiers.rules.OneR
OneRAttributeEval - Class in weka.attributeSelection
  OneRAttributeEval :
  Evaluates the worth of an attribute by using the OneR classifier.

  Valid options are:

OneRAttributeEval() - Constructor for class weka.attributeSelection.OneRAttributeEval
  Constructor
onUnit(Graphics, int, int, int, int) - Method in class weka.classifiers.functions.neural.NeuralConnection
  Call this function to determine if the point at x,y is on the unit.
open(File) - Method in class weka.gui.scripting.FileScriptingPanel
  Opens the specified file.
open(File) - Method in class weka.gui.scripting.Script
  Tries to open the file.
openFrame(String) - Method in class weka.gui.ResultHistoryPanel
  Opens the named result in a separate frame.
openURL(String) - Static method in class weka.gui.BrowserHelper
  opens the URL in a browser.
openURL(Component, String) - Static method in class weka.gui.BrowserHelper
  opens the URL in a browser.
openURL(Component, String, boolean) - Static method in class weka.gui.BrowserHelper
  opens the URL in a browser.
Optimization - Class in weka.core
  Implementation of Active-sets method with BFGS update to solve optimization problem with only bounds constraints in multi-dimensions.
Optimization() - Constructor for class weka.core.Optimization
optimizationsTipText() - Method in class weka.classifiers.rules.JRip
  Returns the tip text for this property
optimize() - Method in class weka.classifiers.functions.supportVector.RegSMO
  finds alpha and alpha* parameters that optimize the SVM target function
OptimumLiftGraph - Class in weka.core.pmml.jaxbbindings
  Java class for OptimumLiftGraph element declaration.
OptimumLiftGraph() - Constructor for class weka.core.pmml.jaxbbindings.OptimumLiftGraph
Option - Class in weka.core
  Class to store information about an option.
Option(String, String, int, String) - Constructor for class weka.core.Option
  Creates new option with the given parameters.
OptionHandler - Interface in weka.core
  Interface to something that understands options.
OptionHandlerJavadoc - Class in weka.core
  Generates Javadoc comments from the OptionHandler's options.
OptionHandlerJavadoc() - Constructor for class weka.core.OptionHandlerJavadoc
  default constructor
OPTIONS_ENDTAG - Static variable in class weka.core.OptionHandlerJavadoc
  the end comment tag for inserting the generated Javadoc
OPTIONS_STARTTAG - Static variable in class weka.core.OptionHandlerJavadoc
  the start comment tag for inserting the generated Javadoc
optionsTipTextHTML() - Method in class weka.gui.beans.AbstractOffscreenChartRenderer
  Gets a short list of additional options (if any), suitable for displaying in a tip text, in HTML form.
optionsTipTextHTML() - Method in interface weka.gui.beans.OffscreenChartRenderer
  Gets a short list of additional options (if any), suitable for displaying in a tip text, in HTML form
optionsTipTextHTML() - Method in class weka.gui.beans.WekaOffscreenChartRenderer
  Gets a short list of additional options (if any), suitable for displaying in a tip text, in HTML form
OPTYPE - Enum in weka.core.pmml.jaxbbindings
  Java class for OPTYPE.
or(Capabilities) - Method in class weka.core.Capabilities
  performs an OR conjunction with the capabilities of the given Capabilities object and updates itself
OR - Static variable in interface weka.core.mathematicalexpression.sym
OR - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
ORDERED - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
  Constant set for input order (option O)
ordering() - Method in class weka.core.Attribute
  Returns the ordering of the attribute.
ORDERING_MODULO - Static variable in class weka.core.Attribute
  Constant set for modulo-ordered attributes.
ORDERING_ORDERED - Static variable in class weka.core.Attribute
  Constant set for ordered attributes.
ORDERING_SYMBOLIC - Static variable in class weka.core.Attribute
  Constant set for symbolic attributes.
orderTipText() - Method in class weka.core.MinkowskiDistance
  Returns the tip text for this property.
originalValue(double) - Method in class weka.filters.supervised.attribute.ClassOrder
  Return the original internal class value given the randomized class value, i.e.
OUT_OF_MEMORY_THRESHOLD - Static variable in class weka.core.Memory
outcomes - Variable in class weka.gui.graphvisualizer.GraphNode
  The outcomes for the given node
outlierFactorTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Returns the tip text for this property
OUTLIERTREATMENTMETHOD - Enum in weka.core.pmml.jaxbbindings
  Java class for OUTLIER-TREATMENT-METHOD.
OUTPUT - Static variable in class weka.classifiers.functions.neural.NeuralConnection
  This unit is an output unit.
Output - Class in weka.core.pmml.jaxbbindings
  Java class for Output element declaration.
Output() - Constructor for class weka.core.pmml.jaxbbindings.Output
output() - Method in class weka.filters.Filter
  Output an instance after filtering and remove from the output queue.
output() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Output an instance after filtering and remove from the output queue.
outputAdditionalStatsTipText() - Method in class weka.classifiers.functions.LinearRegression
  Returns the tip text for this property.
outputAdditionalStatsTipText() - Method in class weka.classifiers.functions.SimpleLinearRegression
  Returns the tip text for this property.
outputClassificationTipText() - Method in class weka.filters.supervised.attribute.AddClassification
  Returns the tip text for this property.
outputDetailedInfoTipText() - Method in class weka.attributeSelection.CorrelationAttributeEval
  Returns the tip text for this property
outputDistributionTipText() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns the tip text for this property.
outputDistributionTipText() - Method in class weka.filters.supervised.attribute.AddClassification
  Returns the tip text for this property.
outputErrorFlagTipText() - Method in class weka.filters.supervised.attribute.AddClassification
  Returns the tip text for this property.
OutputField - Class in weka.core.pmml.jaxbbindings
  Java class for OutputField element declaration.
OutputField() - Constructor for class weka.core.pmml.jaxbbindings.OutputField
outputFileName() - Method in class weka.experiment.CSVResultListener
  Get the value of OutputFileName.
outputFilenameTipText() - Method in class weka.core.converters.TextDirectoryLoader
  the tip text for this property
outputFileTipText() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns the tip text for this property.
outputFileTipText() - Method in class weka.experiment.CrossValidationResultProducer
  Returns the tip text for this property
outputFileTipText() - Method in class weka.experiment.CSVResultListener
  Returns the tip text for this property
outputFileTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the tip text for this property.
outputFileTipText() - Method in class weka.experiment.RandomSplitResultProducer
  Returns the tip text for this property
outputFormat() - Method in class weka.gui.streams.InstanceJoiner
  Gets the format of the output instances.
outputFormat() - Method in class weka.gui.streams.InstanceLoader
outputFormat() - Method in interface weka.gui.streams.InstanceProducer
OutputFormatDialog - Class in weka.gui.experiment
  A dialog for setting various output format parameters.
OutputFormatDialog(Frame) - Constructor for class weka.gui.experiment.OutputFormatDialog
  initializes the dialog with the given parent frame.
outputItemSetsTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
OutputLogger - Class in weka.core.logging
  A logger that logs all output on stdout and stderr to a file.
OutputLogger() - Constructor for class weka.core.logging.OutputLogger
OutputLogger.OutputPrintStream - Class in weka.core.logging
  A print stream class to capture all data from stdout and stderr.
OutputLogger.OutputPrintStream(OutputLogger, PrintStream) - Constructor for class weka.core.logging.OutputLogger.OutputPrintStream
  Default constructor.
outputOffsetMultiplierTipText() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Returns the tip text for this property
outputPeek() - Method in class weka.filters.Filter
  Output an instance after filtering but do not remove from the output queue.
outputPeek() - Method in class weka.filters.unsupervised.attribute.RemoveType
  Output an instance after filtering but do not remove from the output queue.
outputPeek() - Method in class weka.gui.streams.InstanceJoiner
  Output an instance after filtering but do not remove from the output queue.
outputPeek() - Method in class weka.gui.streams.InstanceLoader
outputPeek() - Method in interface weka.gui.streams.InstanceProducer
outputPerClassInfoRetrievalStatsTipText() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Return a tip text string for this property
outputProbsForSVMTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
outputs(Vector<Object>, Integer...) - Static method in class weka.gui.beans.BeanConnection
  Returns a vector of BeanInstances that can be considered as outputs (or the right-hand side of a sub-flow)
outputsContains(BeanInstance) - Method in class weka.gui.beans.MetaBean
outputTipText() - Method in class weka.datagenerators.DataGenerator
  Returns the tip text for this property
outputTypeSet(int) - Method in class weka.core.Debug.DBO
  Return true if the outputtype is set
outputValue(NeuralNode) - Method in class weka.classifiers.functions.neural.LinearUnit
  This function calculates what the output value should be.
outputValue(boolean) - Method in class weka.classifiers.functions.neural.NeuralConnection
  Call this to get the output value of this unit.
outputValue(NeuralNode) - Method in interface weka.classifiers.functions.neural.NeuralMethod
  This function calculates what the output value should be.
outputValue(boolean) - Method in class weka.classifiers.functions.neural.NeuralNode
  Call this to get the output value of this unit.
outputValue(NeuralNode) - Method in class weka.classifiers.functions.neural.SigmoidUnit
  This function calculates what the output value should be.
outputWordCountsTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
OutputZipper - Class in weka.experiment
  OutputZipper writes output to either gzipped files or to a multi entry zip file.
OutputZipper(File) - Constructor for class weka.experiment.OutputZipper
  Constructor.
OVAL - Static variable in class weka.gui.visualize.VisualizePanelEvent

## P

p(String) - Static method in class weka.core.Debug.DBO
  prints out text.
p() - Method in class weka.core.neighboursearch.CoverTree.CoverTreeNode
  Returns the instance represented by the node.
p1evl(double, double[], int) - Static method in class weka.core.Statistics
  Evaluates the given polynomial of degree `N` at `x`.
PACKAGE - Static variable in class weka.core.stemmers.SnowballStemmer
  the package name for snowball.
PACKAGE_EXT - Static variable in class weka.core.stemmers.SnowballStemmer
  the package name where the stemmers are located.
PackageManager - Class in weka.gui
  A GUI interface the the package management system.
PackageManager() - Constructor for class weka.gui.PackageManager
packages() - Method in class weka.core.ClassCache
  Returns all the stored packages.
PACKAGES_DIR - Static variable in class weka.core.WekaPackageManager
  The default packages directory
pad(String, String, int, boolean) - Static method in class weka.core.pmml.PMMLUtils
  Utility method to left or right pad strings with arbitrary characters.
padLeft(String, int) - Static method in class weka.core.Utils
  Pads a string to a specified length, inserting spaces on the left as required.
padRight(String, int) - Static method in class weka.core.Utils
  Pads a string to a specified length, inserting spaces on the right as required.
PAGE_HEADER - Static variable in class weka.gui.PackageManager
paint(Graphics) - Method in class weka.gui.ETable
  Paints empty rows too, after letting the UI delegate do its painting.
paint(Graphics) - Method in class weka.gui.SplashWindow
  Paints the image on the window.
paintBorder(Component, Graphics, int, int, int, int) - Method in class weka.gui.beans.ShadowBorder
  Paints the drop shadow border around the given component.
paintComponent(Graphics) - Method in class weka.gui.AttributeVisualizationPanel
  Paints this component
paintComponent(Graphics) - Method in class weka.gui.beans.BeanVisual
paintComponent(Graphics) - Method in class weka.gui.hierarchyvisualizer.HierarchyVisualizer
  Updates the screen contents.
paintComponent(Graphics) - Method in class weka.gui.Main.BackgroundDesktopPane
  draws the background image.
paintComponent(Graphics) - Method in class weka.gui.MemoryUsagePanel
  draws the background image.
paintComponent(Graphics) - Method in class weka.gui.PropertyPanel
  Paints the component, using the property editor's paint method.
paintComponent(Graphics) - Method in class weka.gui.treevisualizer.TreeVisualizer
  Updates the screen contents.
paintComponent(Graphics) - Method in class weka.gui.visualize.ClassPanel
  Renders this component
paintComponent(Graphics) - Method in class weka.gui.visualize.Plot2D
  Renders this component
paintConnections(Graphics, Integer...) - Static method in class weka.gui.beans.BeanConnection
  Renders the connections and their names on the supplied graphics context
paintLabels(Graphics, Integer...) - Static method in class weka.gui.beans.BeanInstance
  Renders the textual labels for the beans.
paintValue(Graphics, Rectangle) - Method in class weka.gui.beans.EnvironmentField
paintValue(Graphics, Rectangle) - Method in class weka.gui.CostMatrixEditor
  Paints a graphical representation of the object.
paintValue(Graphics, Rectangle) - Method in class weka.gui.FileEditor
  Paints a representation of the current Object.
paintValue(Graphics, Rectangle) - Method in class weka.gui.GenericArrayEditor
  Paints a representation of the current classifier.
paintValue(Graphics, Rectangle) - Method in class weka.gui.GenericObjectEditor
  Paints a representation of the current Object.
paintValue(Graphics, Rectangle) - Method in class weka.gui.SimpleDateFormatEditor
  Paints a graphical representation of the object.
PairCounts - Class in weka.core.pmml.jaxbbindings
  Java class for PairCounts element declaration.
PairCounts() - Constructor for class weka.core.pmml.jaxbbindings.PairCounts
PairedCorrectedTTester - Class in weka.experiment
  Behaves the same as PairedTTester, only it uses the corrected resampled t-test statistic.
PairedCorrectedTTester() - Constructor for class weka.experiment.PairedCorrectedTTester
PairedStats - Class in weka.experiment
  A class for storing stats on a paired comparison (t-test and correlation)
PairedStats(double) - Constructor for class weka.experiment.PairedStats
  Creates a new PairedStats object with the supplied significance level.
PairedStatsCorrected - Class in weka.experiment
  A class for storing stats on a paired comparison.
PairedStatsCorrected(double, double) - Constructor for class weka.experiment.PairedStatsCorrected
  Creates a new PairedStatsCorrected object with the supplied significance level and train/test ratio.
PairedTTester - Class in weka.experiment
  Calculates T-Test statistics on data stored in a set of instances.
PairedTTester() - Constructor for class weka.experiment.PairedTTester
pairwiseCoupling(double[][], double[][]) - Static method in class weka.classifiers.meta.MultiClassClassifier
  Implements pairwise coupling.
ParallelIteratedSingleClassifierEnhancer - Class in weka.classifiers
  Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel from a single base learner.
ParallelIteratedSingleClassifierEnhancer() - Constructor for class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
ParallelMultipleClassifiersCombiner - Class in weka.classifiers
  Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multiple classifiers.
ParallelMultipleClassifiersCombiner() - Constructor for class weka.classifiers.ParallelMultipleClassifiersCombiner
Parameter - Class in weka.core.pmml.jaxbbindings
  Java class for Parameter element declaration.
Parameter() - Constructor for class weka.core.pmml.jaxbbindings.Parameter
ParameterField - Class in weka.core.pmml.jaxbbindings
  Java class for ParameterField element declaration.
ParameterField() - Constructor for class weka.core.pmml.jaxbbindings.ParameterField
ParameterList - Class in weka.core.pmml.jaxbbindings
  Java class for ParameterList element declaration.
ParameterList() - Constructor for class weka.core.pmml.jaxbbindings.ParameterList
ParamMatrix - Class in weka.core.pmml.jaxbbindings
  Java class for ParamMatrix element declaration.
ParamMatrix() - Constructor for class weka.core.pmml.jaxbbindings.ParamMatrix
parentClass - Variable in class weka.experiment.PropertyNode
  The class of the object with this property
parentNode() - Method in class weka.classifiers.trees.m5.RuleNode
  Get the parent of this node
ParentSet - Class in weka.classifiers.bayes.net
  Helper class for Bayes Network classifiers.
ParentSet() - Constructor for class weka.classifiers.bayes.net.ParentSet
  default constructor
ParentSet(int) - Constructor for class weka.classifiers.bayes.net.ParentSet
  constructor
ParentSet(ParentSet) - Constructor for class weka.classifiers.bayes.net.ParentSet
  copy constructor
parentTipText() - Method in class weka.datagenerators.ClusterDefinition
  Returns the tip text for this property
parentValue() - Method in class weka.gui.HierarchyPropertyParser
  The value in the parent node.
parse() - Method in class weka.gui.graphvisualizer.BIFParser
  This method parses the string or the InputStream that we passed in through the constructor and builds up the m_nodes and m_edges vectors
parse() - Method in class weka.gui.graphvisualizer.DotParser
  This method parses the string or the InputStream that we passed in through the constructor and builds up the m_nodes and m_edges vectors
parseDate(String) - Method in class weka.core.Attribute
  Parses the given String as Date, according to the current format and returns the corresponding amount of milliseconds.
parseMatlab(String) - Static method in class weka.classifiers.CostMatrix
  creates a matrix from the given Matlab string.
parseMatlab(String) - Static method in class weka.core.matrix.Matrix
  creates a matrix from the given Matlab string.
parseMatlab(String) - Static method in class weka.core.Matrix
  Deprecated.
  creates a matrix from the given Matlab string.
parsePath(String) - Static method in class weka.core.PropertyPath.Path
  returns a path object based on the given path string
Parser - Class in weka.core.json
  CUP v0.11a beta 20060608 generated parser.
Parser() - Constructor for class weka.core.json.Parser
  Default constructor.
Parser(Scanner) - Constructor for class weka.core.json.Parser
  Constructor which sets the default scanner.
Parser(Scanner, SymbolFactory) - Constructor for class weka.core.json.Parser
  Constructor which sets the default scanner.
Parser - Class in weka.core.mathematicalexpression
  CUP v0.11a beta 20060608 generated parser.
Parser() - Constructor for class weka.core.mathematicalexpression.Parser
  Default constructor.
Parser(Scanner) - Constructor for class weka.core.mathematicalexpression.Parser
  Constructor which sets the default scanner.
Parser(Scanner, SymbolFactory) - Constructor for class weka.core.mathematicalexpression.Parser
  Constructor which sets the default scanner.
Parser - Class in weka.filters.unsupervised.instance.subsetbyexpression
  CUP v0.11a beta 20060608 generated parser.
Parser() - Constructor for class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Default constructor.
Parser(Scanner) - Constructor for class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Constructor which sets the default scanner.
Parser(Scanner, SymbolFactory) - Constructor for class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Constructor which sets the default scanner.
PART - Class in weka.classifiers.rules
  Class for generating a PART decision list.
PART() - Constructor for class weka.classifiers.rules.PART
partition(Instances, int) - Static method in class weka.classifiers.rules.RuleStats
  Patition the data into 2, first of which has (numFolds-1)/numFolds of the data and the second has 1/numFolds of the data
Partition - Class in weka.core.pmml.jaxbbindings
  Java class for Partition element declaration.
Partition() - Constructor for class weka.core.pmml.jaxbbindings.Partition
PartitionedMultiFilter - Class in weka.filters.unsupervised.attribute
  A filter that applies filters on subsets of attributes and assembles the output into a new dataset.
PartitionedMultiFilter() - Constructor for class weka.filters.unsupervised.attribute.PartitionedMultiFilter
PartitionFieldStats - Class in weka.core.pmml.jaxbbindings
  Java class for PartitionFieldStats element declaration.
PartitionFieldStats() - Constructor for class weka.core.pmml.jaxbbindings.PartitionFieldStats
PartitionGenerator - Interface in weka.core
  This interface can be implemented by algorithms that generate a partition of the instance space (e.g., decision trees).
partitionGeneratorTipText() - Method in class weka.filters.supervised.attribute.PartitionMembership
  Returns a description of this option suitable for display as a tip text in the gui.
PartitionMembership - Class in weka.filters.supervised.attribute
  A filter that uses a PartitionGenerator to generate partition membership values; filtered instances are composed of these values plus the class attribute (if set in the input data) and rendered as sparse instances.
PartitionMembership() - Constructor for class weka.filters.supervised.attribute.PartitionMembership
partitionOptions(String[]) - Static method in class weka.classifiers.bayes.BayesNet
  Returns the secondary set of options (if any) contained in the supplied options array.
partitionOptions(String[]) - Static method in class weka.core.Utils
  Returns the secondary set of options (if any) contained in the supplied options array.
passesTest(Instance) - Method in class weka.datagenerators.Test
  Determines whether an instance passes the test.
passwordTipText() - Method in class weka.core.converters.DatabaseLoader
  the tip text for this property
passwordTipText() - Method in class weka.core.converters.DatabaseSaver
  Returns the tip text for this property.
passwordTipText() - Method in class weka.experiment.DatabaseUtils
  Returns the tip text for this property.
paste(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Apply paste operation with XMLBIF fragment.
pattern(int, int) - Static method in class weka.core.matrix.FloatingPointFormat
patternTipText() - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Returns the tip text for this property
PCell - Class in weka.core.pmml.jaxbbindings
  Java class for PCell element declaration.
PCell() - Constructor for class weka.core.pmml.jaxbbindings.PCell
PCell(String, String, BigInteger, double) - Constructor for class weka.core.pmml.jaxbbindings.PCell
pchisq(double) - Static method in class weka.core.matrix.Maths
  Returns the cumulative probability of the Chi-squared distribution
pchisq(double, double) - Static method in class weka.core.matrix.Maths
  Returns the cumulative probability of the noncentral Chi-squared distribution.
pchisq(double, DoubleVector) - Static method in class weka.core.matrix.Maths
  Returns the cumulative probability of a set of noncentral Chi-squared distributions.
PCovCell - Class in weka.core.pmml.jaxbbindings
  Java class for PCovCell element declaration.
PCovCell() - Constructor for class weka.core.pmml.jaxbbindings.PCovCell
PCovMatrix - Class in weka.core.pmml.jaxbbindings
  Java class for PCovMatrix element declaration.
PCovMatrix() - Constructor for class weka.core.pmml.jaxbbindings.PCovMatrix
pctCorrect() - Method in class weka.classifiers.evaluation.Evaluation
  Gets the percentage of instances correctly classified (that is, for which a correct prediction was made).
pctCorrect() - Method in class weka.classifiers.Evaluation
  Gets the percentage of instances correctly classified (that is, for which a correct prediction was made).
pctIncorrect() - Method in class weka.classifiers.evaluation.Evaluation
  Gets the percentage of instances incorrectly classified (that is, for which an incorrect prediction was made).
pctIncorrect() - Method in class weka.classifiers.Evaluation
  Gets the percentage of instances incorrectly classified (that is, for which an incorrect prediction was made).
pctUnclassified() - Method in class weka.classifiers.evaluation.Evaluation
  Gets the percentage of instances not classified (that is, for which no prediction was made by the classifier).
pctUnclassified() - Method in class weka.classifiers.Evaluation
  Gets the percentage of instances not classified (that is, for which no prediction was made by the classifier).
peek() - Method in class weka.core.Queue
  Gets object from the front of the queue.
PENTAHO_IMAGE1 - Static variable in class weka.core.RepositoryIndexGenerator
PENTAHO_IMAGE2 - Static variable in class weka.core.RepositoryIndexGenerator
perBag(int) - Method in class weka.classifiers.trees.j48.Distribution
  Returns number of (possibly fractional) instances in given bag.
percentageTipText() - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Returns the tip text for this property
percentAttributesUsed() - Method in class weka.classifiers.trees.lmt.LogisticBase
  Returns the fraction of all attributes in the data that are used in the logistic model (in percent).
percentTipText() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Returns the tip text for this property
percentTipText() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Returns the tip text for this property
perClass(int) - Method in class weka.classifiers.trees.j48.Distribution
  Returns number of (possibly fractional) instances of given class.
perClassPerBag(int, int) - Method in class weka.classifiers.trees.j48.Distribution
  Returns number of (possibly fractional) instances of given class in given bag.
PerformanceStats - Class in weka.core.neighboursearch
  The class that measures the performance of a nearest neighbour search (NNS) algorithm.
PerformanceStats() - Constructor for class weka.core.neighboursearch.PerformanceStats
  default constructor.
performRequest(String) - Method in class weka.gui.beans.Associator
  Perform a particular request
performRequest(String) - Method in class weka.gui.beans.AttributeSummarizer
  Perform a named user request
performRequest(String) - Method in class weka.gui.beans.Classifier
  Perform a particular request
performRequest(String) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Perform the named request
performRequest(String) - Method in class weka.gui.beans.Clusterer
  Perform a particular request
performRequest(String) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
  Perform the named request
performRequest(String) - Method in class weka.gui.beans.CostBenefitAnalysis
performRequest(String) - Method in class weka.gui.beans.CrossValidationFoldMaker
  Perform the named request
performRequest(String) - Method in class weka.gui.beans.DataVisualizer
  Describe `performRequest` method here.
performRequest(String) - Method in class weka.gui.beans.Filter
  Perform the named request
performRequest(String) - Method in class weka.gui.beans.GraphViewer
  Perform the named request
performRequest(String) - Method in class weka.gui.beans.ImageViewer
performRequest(String) - Method in class weka.gui.beans.MetaBean
  Perform a particular request
performRequest(String) - Method in class weka.gui.beans.ModelPerformanceChart
  Describe `performRequest` method here.
performRequest(String) - Method in class weka.gui.beans.ScatterPlotMatrix
  Perform a named user request
performRequest(String) - Method in class weka.gui.beans.StripChart
  Describe `performRequest` method here.
performRequest(String) - Method in class weka.gui.beans.TextViewer
  Perform the named request
performRequest(String) - Method in class weka.gui.beans.TrainTestSplitMaker
  Perform the named request
performRequest(String) - Method in interface weka.gui.beans.UserRequestAcceptor
  Perform the named request
periodicPruningRateTipText() - Method in class weka.clusterers.Canopy
  Returns the tip text for this property.
periodicPruningTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the tip text for this property
periodicPruningTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
periodicPruningTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
perturbationFractionTipText() - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Returns the tip text for this property
phaseIID(int, int[][]) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
  See Sugiyama et al.
phaseIIU(int, int[][]) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
  See Sugiyama et al.
phaseIU(int, int[][]) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
  See Sugiyama et al.
PI - Static variable in class weka.core.xml.XMLDocument
  the parsing instructions "<?xml version=\"1.0\" encoding=\"utf-8\"?>" (may not show up in Javadoc due to tags!).
PKIDiscretize - Class in weka.filters.unsupervised.attribute
  Discretizes numeric attributes using equal frequency binning, where the number of bins is equal to the square root of the number of non-missing values.
  For more information, see:
  Ying Yang, Geoffrey I.
PKIDiscretize() - Constructor for class weka.filters.unsupervised.attribute.PKIDiscretize
place(Node) - Method in interface weka.gui.treevisualizer.NodePlace
  The function to call to postion the tree that starts at Node r
place(Node) - Method in class weka.gui.treevisualizer.PlaceNode1
  Call this function to have each node in the tree starting at 'r' placed in a visual (not logical, they already are) tree position.
place(Node) - Method in class weka.gui.treevisualizer.PlaceNode2
  The Funtion to call to have the nodes arranged.
PlaceNode1 - Class in weka.gui.treevisualizer
  This class will place the Nodes of a tree.
PlaceNode1() - Constructor for class weka.gui.treevisualizer.PlaceNode1
PlaceNode2 - Class in weka.gui.treevisualizer
  This class will place the Nodes of a tree.
PlaceNode2() - Constructor for class weka.gui.treevisualizer.PlaceNode2
PlainText - Class in weka.classifiers.evaluation.output.prediction
  Outputs the predictions in plain text.
PlainText() - Constructor for class weka.classifiers.evaluation.output.prediction.PlainText
PLAINTEXT_ENDTAG - Static variable in class weka.core.TechnicalInformationHandlerJavadoc
  the end comment tag for inserting the generated BibTex
PLAINTEXT_STARTTAG - Static variable in class weka.core.TechnicalInformationHandlerJavadoc
  the start comment tag for inserting the generated BibTex
pln(String) - Static method in class weka.core.Debug.DBO
  prints out text + endofline.
Plot2D - Class in weka.gui.visualize
  This class plots datasets in two dimensions.
Plot2D() - Constructor for class weka.gui.visualize.Plot2D
  Constructor
Plot2DCompanion - Interface in weka.gui.visualize
  Interface for classes that need to draw to the Plot2D panel *before* Plot2D renders anything (eg.
PlotData2D - Class in weka.gui.visualize
  This class is a container for plottable data.
PlotData2D(Instances) - Constructor for class weka.gui.visualize.PlotData2D
  Construct a new PlotData2D using the supplied instances
plotTrainingData() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Render the training points on-screen.
plotTrainingData() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Plots the training data on-screen.
PluginManager - Class in weka.gui.beans
  Class that manages a global map of plugins.
PluginManager() - Constructor for class weka.gui.beans.PluginManager
PLURAL_DUMMY - Static variable in interface weka.gui.graphvisualizer.GraphConstants
  PLURAL_DUMMY node - node with more than one outgoing edge i.e.
PLUS - Static variable in interface weka.core.mathematicalexpression.sym
plus(double) - Method in class weka.core.matrix.DoubleVector
  Adds a value to all the elements
plus(DoubleVector) - Method in class weka.core.matrix.DoubleVector
  Adds another vector element by element
plus(Matrix) - Method in class weka.core.matrix.Matrix
  C = A + B
PLUS - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
PLUS_SHAPE - Static variable in class weka.gui.visualize.Plot2D
plusEquals(double) - Method in class weka.core.matrix.DoubleVector
  Adds a value to all the elements in place
plusEquals(DoubleVector) - Method in class weka.core.matrix.DoubleVector
  Adds another vector in place element by element
plusEquals(Matrix) - Method in class weka.core.matrix.Matrix
  A = A + B
pmiss - Variable in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
  transformation probability to missing value
PMML - Class in weka.core.pmml.jaxbbindings
  Java class for PMML element declaration.
PMML() - Constructor for class weka.core.pmml.jaxbbindings.PMML
PMML_FILE_EXTENSION - Static variable in class weka.gui.explorer.ClassifierPanel
  The filename extension that should be used for PMML xml files.
PMML_VERSION - Static variable in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
  PMML version that the jaxbbindings were created from
PMMLClassifier - Class in weka.classifiers.pmml.consumer
  Abstract base class for all PMML classifiers.
PMMLFactory - Class in weka.core.pmml
  This class is a factory class for reading/writing PMML models
PMMLFactory() - Constructor for class weka.core.pmml.PMMLFactory
PMMLModel - Interface in weka.core.pmml
  Interface for all PMML models
PMMLProducer - Interface in weka.core.pmml
  Interface to something that can produce a PMML representation of itself.
PMMLUtils - Class in weka.core.pmml
  Utility routines.
PMMLUtils() - Constructor for class weka.core.pmml.PMMLUtils
PNGWriter - Class in weka.gui.visualize
  This class takes any JComponent and outputs it to a PNG-file.
PNGWriter() - Constructor for class weka.gui.visualize.PNGWriter
  initializes the object.
PNGWriter(JComponent) - Constructor for class weka.gui.visualize.PNGWriter
  initializes the object with the given Component.
PNGWriter(JComponent, File) - Constructor for class weka.gui.visualize.PNGWriter
  initializes the object with the given Component and filename.
pnorm(double) - Static method in class weka.core.matrix.Maths
  Returns the cumulative probability of the standard normal.
pnorm(double, double, double) - Static method in class weka.core.matrix.Maths
  Returns the cumulative probability of a normal distribution.
pnorm(double, DoubleVector, double) - Static method in class weka.core.matrix.Maths
  Returns the cumulative probability of a set of normal distributions with different means.
POINT - Static variable in class weka.core.Version
  point revision
PointsClosestToFurthestChildren - Class in weka.core.neighboursearch.balltrees
  Implements the Moore's method to split a node of a ball tree.
  For more information please see section 2 of the 1st and 3.2.3 of the 2nd:
  Andrew W.
PointsClosestToFurthestChildren() - Constructor for class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
  Constructor.
PointsClosestToFurthestChildren(int[], Instances, EuclideanDistance) - Constructor for class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
  Constructor.
PoissonDistribution - Class in weka.core.pmml.jaxbbindings
  Java class for PoissonDistribution element declaration.
PoissonDistribution() - Constructor for class weka.core.pmml.jaxbbindings.PoissonDistribution
PoissonEstimator - Class in weka.estimators
  Simple probability estimator that places a single Poisson distribution over the observed values.
PoissonEstimator() - Constructor for class weka.estimators.PoissonEstimator
polevl(double, double[], int) - Static method in class weka.core.Statistics
  Evaluates the given polynomial of degree `N` at `x`.
POLYGON - Static variable in class weka.gui.visualize.VisualizePanelEvent
PolyKernel - Class in weka.classifiers.functions.supportVector
  The polynomial kernel : K(x, y) = <x, y>^p or K(x, y) = (<x, y>+1)^p

  Valid options are:

PolyKernel() - Constructor for class weka.classifiers.functions.supportVector.PolyKernel
  default constructor - does nothing.
PolyKernel(Instances, int, double, boolean) - Constructor for class weka.classifiers.functions.supportVector.PolyKernel
  Creates a new `PolyKernel` instance.
PolynomialKernelType - Class in weka.core.pmml.jaxbbindings
  Java class for PolynomialKernelType element declaration.
PolynomialKernelType() - Constructor for class weka.core.pmml.jaxbbindings.PolynomialKernelType
poolSizeTipText() - Method in class weka.attributeSelection.CfsSubsetEval
poolSizeTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
poolSizeTipText() - Method in class weka.classifiers.meta.LogitBoost
pop() - Method in class weka.core.neighboursearch.covertrees.Stack
  Pops (removes) the first (last added) element in the stack.
pop() - Method in class weka.core.Queue
  Pops an object from the front of the queue.
populationSizeTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
populationSizeTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
position() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
  Returns the position of the split in the sorted values.
position() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
  Returns the position of the split in the sorted values.
position() - Method in class weka.classifiers.trees.m5.YongSplitInfo
  Returns the position of the split in the sorted values.
positiveIndexTipText() - Method in class weka.associations.FPGrowth
  Tip text for this property suitable for displaying in the GUI.
postProcess(int[]) - Method in class weka.attributeSelection.ASEvaluation
  Provides a chance for a attribute evaluator to do any special post processing of the selected attribute set.
postProcess(int[]) - Method in class weka.attributeSelection.CfsSubsetEval
  Calls locallyPredictive in order to include locally predictive attributes (if requested).
postProcess(int[]) - Method in class weka.attributeSelection.GainRatioAttributeEval
postProcess(int[]) - Method in class weka.attributeSelection.OneRAttributeEval
postProcess(int[]) - Method in class weka.attributeSelection.ReliefFAttributeEval
postProcess(int[]) - Method in class weka.attributeSelection.WrapperSubsetEval
postProcess(ResultProducer) - Method in class weka.experiment.AveragingResultProducer
  When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
postProcess() - Method in class weka.experiment.AveragingResultProducer
  When this method is called, it indicates that no more requests to generate results for the current experiment will be sent.
postProcess() - Method in class weka.experiment.CrossValidationResultProducer
  Perform any postprocessing.
postProcess(ResultProducer) - Method in class weka.experiment.CSVResultListener
  Perform any postprocessing.
postProcess(ResultProducer) - Method in class weka.experiment.DatabaseResultListener
  Perform any postprocessing.
postProcess(ResultProducer) - Method in class weka.experiment.DatabaseResultProducer
  When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
postProcess() - Method in class weka.experiment.DatabaseResultProducer
  When this method is called, it indicates that no more requests to generate results for the current experiment will be sent.
postProcess() - Method in class weka.experiment.Experiment
  Signals that the experiment is finished running, so that cleanup can be done.
postProcess() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Perform any postprocessing.
postProcess(ResultProducer) - Method in class weka.experiment.InstancesResultListener
  Perform any postprocessing.
postProcess(ResultProducer) - Method in class weka.experiment.LearningRateResultProducer
  When this method is called, it indicates that no more results will be sent that need to be grouped together in any way.
postProcess() - Method in class weka.experiment.LearningRateResultProducer
  When this method is called, it indicates that no more requests to generate results for the current experiment will be sent.
postProcess() - Method in class weka.experiment.RandomSplitResultProducer
  Perform any postprocessing.
postProcess() - Method in class weka.experiment.RemoteExperiment
  overides the one in Experiment
postProcess(ResultProducer) - Method in interface weka.experiment.ResultListener
  Perform any postprocessing.
postProcess() - Method in interface weka.experiment.ResultProducer
  Perform any postprocessing.
postProcessDistances(double[]) - Method in interface weka.core.DistanceFunction
  Does post processing of the distances (if necessary) returned by distance(distance(Instance first, Instance second, double cutOffValue).
postProcessDistances(double[]) - Method in class weka.core.EuclideanDistance
  Does post processing of the distances (if necessary) returned by distance(distance(Instance first, Instance second, double cutOffValue).
postProcessDistances(double[]) - Method in class weka.core.FilteredDistance
  Does post processing of the distances (if necessary) returned by distance(distance(Instance first, Instance second, double cutOffValue).
postProcessDistances(double[]) - Method in class weka.core.MinkowskiDistance
  Does post processing of the distances (if necessary) returned by distance(distance(Instance first, Instance second, double cutOffValue).
postProcessDistances(double[]) - Method in class weka.core.NormalizableDistance
  Does nothing, derived classes may override it though.
PostscriptGraphics - Class in weka.gui.visualize
  The PostscriptGraphics class extends the Graphics2D class to produce an encapsulated postscript file rather than on-screen display.
PostscriptGraphics(int, int, OutputStream) - Constructor for class weka.gui.visualize.PostscriptGraphics
  Constructor Creates a new PostscriptGraphics object, given dimensions and output file.
PostscriptWriter - Class in weka.gui.visualize
  This class takes any Component and outputs it to a Postscript file.
PostscriptWriter() - Constructor for class weka.gui.visualize.PostscriptWriter
  initializes the object
PostscriptWriter(JComponent) - Constructor for class weka.gui.visualize.PostscriptWriter
  initializes the object with the given Component
PostscriptWriter(JComponent, File) - Constructor for class weka.gui.visualize.PostscriptWriter
  initializes the object with the given Component and filename
potential(int, double, double[], double[], boolean) - Method in class weka.classifiers.rules.RuleStats
  Calculate the potential to decrease DL of the ruleset, i.e.
PotentialClassIgnorer - Class in weka.filters.unsupervised.attribute
  This filter should be extended by other unsupervised attribute filters to allow processing of the class attribute if that's required.
PotentialClassIgnorer() - Constructor for class weka.filters.unsupervised.attribute.PotentialClassIgnorer
POW - Static variable in interface weka.core.mathematicalexpression.sym
POW - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
powerSeries(double, double, double) - Static method in class weka.core.Statistics
  Power series for incomplete beta integral.
PPCell - Class in weka.core.pmml.jaxbbindings
  Java class for PPCell element declaration.
PPCell() - Constructor for class weka.core.pmml.jaxbbindings.PPCell
PPMatrix - Class in weka.core.pmml.jaxbbindings
  Java class for PPMatrix element declaration.
PPMatrix() - Constructor for class weka.core.pmml.jaxbbindings.PPMatrix
preBuiltClassifiersTipText() - Method in class weka.classifiers.meta.Vote
  Returns the tip text for this property
precision(int) - Method in class weka.classifiers.evaluation.Evaluation
  Calculate the precision with respect to a particular class.
precision(int) - Method in class weka.classifiers.Evaluation
  Calculate the precision with respect to a particular class.
PRECISION_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: Precision
preComputeCorrelationMatrixTipText() - Method in class weka.attributeSelection.CfsSubsetEval
PrecomputedKernelMatrixKernel - Class in weka.classifiers.functions.supportVector
  This kernel is based on a static kernel matrix that is read from a file.
PrecomputedKernelMatrixKernel() - Constructor for class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
PreConstructedLinearModel - Class in weka.classifiers.trees.m5
  This class encapsulates a linear regression function.
PreConstructedLinearModel(double[], double) - Constructor for class weka.classifiers.trees.m5.PreConstructedLinearModel
  Constructor
predicted() - Method in class weka.classifiers.evaluation.NominalPrediction
  Gets the predicted class value.
predicted() - Method in class weka.classifiers.evaluation.NumericPrediction
  Gets the predicted class value.
predicted() - Method in interface weka.classifiers.evaluation.Prediction
  Gets the predicted class value.
predictIntervals(Instance, double) - Method in class weka.classifiers.functions.GaussianProcesses
  Computes a prediction interval for the given instance and confidence level.
predictIntervals(Instance, double) - Method in interface weka.classifiers.IntervalEstimator
  Returns an N * 2 array, where N is the number of prediction intervals.
predictIntervals(Instance, double) - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns an N * 2 array, where N is the number of prediction intervals.
predictIntervals(double) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Returns the interval for the given confidence value.
predictIntervals(double) - Method in interface weka.estimators.UnivariateIntervalEstimator
  Returns the intervals at the given confidence value.
predictIntervals(double) - Method in class weka.estimators.UnivariateKernelEstimator
  Returns the interval for the given confidence value.
predictIntervals(double) - Method in class weka.estimators.UnivariateMixtureEstimator.MM
  Returns the interval for the given confidence value.
predictIntervals(double) - Method in class weka.estimators.UnivariateMixtureEstimator
  Returns the interval for the given confidence value.
predictIntervals(double) - Method in class weka.estimators.UnivariateNormalEstimator
  Returns the interval for the given confidence value.
Prediction - Interface in weka.classifiers.evaluation
  Encapsulates a single evaluatable prediction: the predicted value plus the actual class value.
PredictionAppender - Class in weka.gui.beans
  Bean that can can accept batch or incremental classifier events and produce dataset or instance events which contain instances with predictions appended.
PredictionAppender() - Constructor for class weka.gui.beans.PredictionAppender
  Creates a new `PredictionAppender` instance.
PredictionAppenderBeanInfo - Class in weka.gui.beans
  Bean info class for PredictionAppender.
PredictionAppenderBeanInfo() - Constructor for class weka.gui.beans.PredictionAppenderBeanInfo
PredictionAppenderCustomizer - Class in weka.gui.beans
  GUI Customizer for the prediction appender bean
PredictionAppenderCustomizer() - Constructor for class weka.gui.beans.PredictionAppenderCustomizer
predictionIntervals() - Method in class weka.classifiers.evaluation.NumericPrediction
  Returns the predictions intervals.
predictions() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the predictions that have been collected.
predictions() - Method in class weka.classifiers.Evaluation
  Returns the predictions that have been collected.
PredictiveModelQuality - Class in weka.core.pmml.jaxbbindings
  Java class for PredictiveModelQuality element declaration.
PredictiveModelQuality() - Constructor for class weka.core.pmml.jaxbbindings.PredictiveModelQuality
Predictor - Class in weka.core.pmml.jaxbbindings
  Java class for Predictor element declaration.
Predictor() - Constructor for class weka.core.pmml.jaxbbindings.Predictor
PredictorTerm - Class in weka.core.pmml.jaxbbindings
  Java class for PredictorTerm element declaration.
PredictorTerm() - Constructor for class weka.core.pmml.jaxbbindings.PredictorTerm
predictQuantile(double) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Returns the quantile for the given percentage.
predictQuantile(double) - Method in class weka.estimators.UnivariateKernelEstimator
  Returns the quantile for the given percentage.
predictQuantile(double) - Method in class weka.estimators.UnivariateMixtureEstimator.MM
  Returns the quantile for the given percentage.
predictQuantile(double) - Method in class weka.estimators.UnivariateMixtureEstimator
  Returns the quantile for the given percentage.
predictQuantile(double) - Method in class weka.estimators.UnivariateNormalEstimator
  Returns the quantile for the given percentage.
predictQuantile(double) - Method in interface weka.estimators.UnivariateQuantileEstimator
  Returns the quantile for the given percentage
prefix() - Method in class weka.classifiers.trees.j48.ClassifierTree
  Returns tree in prefix order.
prefix() - Method in class weka.classifiers.trees.J48
  Returns tree in prefix order.
prefix() - Method in interface weka.core.Matchable
  Returns a string that describes a tree representing the object in prefix order.
prepareRenderer(TableCellRenderer, int, int) - Method in class weka.gui.ETable
  Shades alternate rows in different colors.
prePlot(Graphics) - Method in interface weka.gui.visualize.Plot2DCompanion
  Something to be drawn before the plot itself
preProcess(ResultProducer) - Method in class weka.experiment.AveragingResultProducer
  Prepare for the results to be received.
preProcess() - Method in class weka.experiment.AveragingResultProducer
  Prepare to generate results.
preProcess() - Method in class weka.experiment.CrossValidationResultProducer
  Prepare to generate results.
preProcess(ResultProducer) - Method in class weka.experiment.CSVResultListener
  Prepare for the results to be received.
preProcess(ResultProducer) - Method in class weka.experiment.DatabaseResultListener
  Prepare for the results to be received.
preProcess(ResultProducer) - Method in class weka.experiment.DatabaseResultProducer
  Prepare for the results to be received.
preProcess() - Method in class weka.experiment.DatabaseResultProducer
  Prepare to generate results.
preProcess() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Prepare to generate results.
preProcess(ResultProducer) - Method in class weka.experiment.InstancesResultListener
  Prepare for the results to be received.
preProcess(ResultProducer) - Method in class weka.experiment.LearningRateResultProducer
  Prepare for the results to be received.
preProcess() - Method in class weka.experiment.LearningRateResultProducer
  Prepare to generate results.
preProcess() - Method in class weka.experiment.RandomSplitResultProducer
  Prepare to generate results.
preProcess(ResultProducer) - Method in interface weka.experiment.ResultListener
  Prepare for the results to be received.
preProcess() - Method in interface weka.experiment.ResultProducer
  Prepare to generate results.
preprocessingTipText() - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Returns the tip text for this property
PreprocessPanel - Class in weka.gui.explorer
  This panel controls simple preprocessing of instances.
PreprocessPanel() - Constructor for class weka.gui.explorer.PreprocessPanel
  Creates the instances panel with no initial instances.
preserveInstancesOrderTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property.
PrincipalComponents - Class in weka.attributeSelection
  Performs a principal components analysis and transformation of the data.
PrincipalComponents() - Constructor for class weka.attributeSelection.PrincipalComponents
PrincipalComponents - Class in weka.filters.unsupervised.attribute
  Performs a principal components analysis and transformation of the data.
  Dimensionality reduction is accomplished by choosing enough eigenvectors to account for some percentage of the variance in the original data -- default 0.95 (95%).
  Based on code of the attribute selection scheme 'PrincipalComponents' by Mark Hall and Gabi Schmidberger.
PrincipalComponents() - Constructor for class weka.filters.unsupervised.attribute.PrincipalComponents
print() - Method in class weka.classifiers.bayes.net.ADNode
  print is used for debugging only and shows the ADTree in ASCII graphics
print(String) - Method in class weka.classifiers.bayes.net.VaryNode
  print is used for debugging only, called from ADNode
print(Classifier, ConverterUtils.DataSource) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Prints the header, classifications and footer to the buffer.
print(Classifier, Instances) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Prints the header, classifications and footer to the buffer.
print(int) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
  prints the given int to the streams.
print(boolean) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
  prints the given boolean to the streams.
print(String) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
  prints the given string to the streams.
print(Object) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
  prints the given object to the streams.
print(int, int) - Method in class weka.core.matrix.Matrix
  Print the matrix to stdout.
print(PrintWriter, int, int) - Method in class weka.core.matrix.Matrix
  Print the matrix to the output stream.
print(NumberFormat, int) - Method in class weka.core.matrix.Matrix
  Print the matrix to stdout.
print(PrintWriter, NumberFormat, int) - Method in class weka.core.matrix.Matrix
  Print the matrix to the output stream.
print(int) - Method in class weka.core.Tee
  prints the given int to the streams.
print(long) - Method in class weka.core.Tee
  prints the given long to the streams.
print(float) - Method in class weka.core.Tee
  prints the given float to the streams.
print(double) - Method in class weka.core.Tee
  prints the given double to the streams.
print(boolean) - Method in class weka.core.Tee
  prints the given boolean to the streams.
print(char) - Method in class weka.core.Tee
  prints the given char to the streams.
print(char[]) - Method in class weka.core.Tee
  prints the given char array to the streams.
print(String) - Method in class weka.core.Tee
  prints the given string to the streams.
print(Object) - Method in class weka.core.Tee
  prints the given object to the streams.
print() - Method in class weka.core.xml.XMLDocument
  prints the current DOM document to standard out.
print(Graphics, PageFormat, int) - Method in class weka.gui.DocumentPrinting
  Prints the page.
print(JTextPane) - Method in class weka.gui.DocumentPrinting
  Prints the document in the JTextPane.
print_hash_code() - Method in class weka.classifiers.rules.DecisionTableHashKey
  Prints the hash code
PrintableComponent - Class in weka.gui.visualize
  This class extends the component which is handed over in the constructor by a print dialog.
PrintableComponent(JComponent) - Constructor for class weka.gui.visualize.PrintableComponent
  initializes the panel.
PrintableHandler - Interface in weka.gui.visualize
  This interface is for all JComponent classes that provide the ability to print itself to a file.
PrintablePanel - Class in weka.gui.visualize
  This Panel enables the user to print the panel to various file formats.
PrintablePanel() - Constructor for class weka.gui.visualize.PrintablePanel
  initializes the panel
printAllModels() - Method in class weka.classifiers.trees.m5.RuleNode
  Print all the linear models at the learf (debugging purposes)
printCanopyAssignments(Instances, List<long[]>) - Static method in class weka.clusterers.Canopy
  Print the supplied instances and their canopies
printClassification(Classifier, Instance, int) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Prints the classification to the buffer.
printClassification(double[], Instance, int) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Prints the classification to the buffer.
printClassifications(Classifier, ConverterUtils.DataSource) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Prints the classifications to the buffer.
printClassifications(Classifier, Instances) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Prints the classifications to the buffer.
printColNamesTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
printDialog() - Method in class weka.gui.DocumentPrinting
  Shows the print dialog.
printElements() - Method in class weka.classifiers.functions.supportVector.SMOset
  Prints all the current elements in the set.
printFeatures() - Method in class weka.classifiers.rules.DecisionTable
  Returns a string description of the features selected
printFooter() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Prints the footer to the buffer.
printHeader() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Prints the header to the buffer.
printInsts(int, int) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  For printing indices in some given portion of the master index array.
printLeafModels() - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
  Print the models at the leaves
printLeafModels() - Method in class weka.classifiers.trees.m5.RuleNode
  print all leaf models
printLeafModelsTipText() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns the tip text for this property
printList(MiddleOutConstructor.MyIdxList) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  For printing indices in a given point list.
println() - Method in class weka.core.logging.OutputLogger.OutputPrintStream
  prints a new line to the streams.
println(int) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
  prints the given int to the streams.
println(boolean) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
  prints the given boolean to the streams.
println(String) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
  prints the given string to the streams.
println(Object) - Method in class weka.core.logging.OutputLogger.OutputPrintStream
  prints the given object to the streams (for Throwables we print the stack trace).
println() - Method in class weka.core.Tee
  prints a new line to the streams.
println(int) - Method in class weka.core.Tee
  prints the given int to the streams.
println(long) - Method in class weka.core.Tee
  prints the given long to the streams.
println(float) - Method in class weka.core.Tee
  prints the given float to the streams.
println(double) - Method in class weka.core.Tee
  prints the given double to the streams.
println(boolean) - Method in class weka.core.Tee
  prints the given boolean to the streams.
println(char) - Method in class weka.core.Tee
  prints the given char to the streams.
println(char[]) - Method in class weka.core.Tee
  prints the given char array to the streams.
println(String) - Method in class weka.core.Tee
  prints the given string to the streams.
println(Object) - Method in class weka.core.Tee
  prints the given object to the streams (for Throwables we print the stack trace).
printNewickTipText() - Method in class weka.clusterers.HierarchicalClusterer
printNodeLinearModel() - Method in class weka.classifiers.trees.m5.RuleNode
  print the linear model at this node
printRowNamesTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
printSingleAssignment(long[]) - Static method in class weka.clusterers.Canopy
printStackTrace() - Method in class weka.core.Debug.Random
  prints the current stacktrace
printTreesTipText() - Method in class weka.classifiers.trees.RandomForest
  Returns the tip text for this property
priorEntropy() - Method in class weka.classifiers.evaluation.Evaluation
  Calculate the entropy of the prior distribution.
priorEntropy() - Method in class weka.classifiers.Evaluation
  Calculate the entropy of the prior distribution.
prnts - Variable in class weka.gui.graphvisualizer.GraphNode
  The indices of parent nodes
prob(int) - Method in class weka.classifiers.trees.j48.Distribution
  Returns relative frequency of class over all bags.
prob(int, int) - Method in class weka.classifiers.trees.j48.Distribution
  Returns relative frequency of class for given bag.
PROB_COST_FUNC_NAME - Static variable in class weka.classifiers.evaluation.CostCurve
  attribute name: Probability Cost Function
probabilityOfAttValConditionedOnClass(double, String) - Method in class weka.classifiers.trees.ht.ConditionalSufficientStats
  Return the probability of an attribute value conditioned on a class value
probabilityOfAttValConditionedOnClass(double, String) - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
probabilityOfAttValConditionedOnClass(double, String) - Method in class weka.classifiers.trees.ht.NominalConditionalSufficientStats
probRound(double, Random) - Static method in class weka.core.Utils
  Rounds a double to the next nearest integer value in a probabilistic fashion (e.g.
probs - Variable in class weka.gui.graphvisualizer.GraphNode
  probability table for each outcome given outcomes of parents, if any
probToLogOdds(double) - Static method in class weka.core.Utils
  Returns the log-odds for a given probabilitiy.
process(boolean[][], BayesNet) - Method in class weka.classifiers.bayes.net.MarginCalculator
process(Instances) - Method in class weka.core.CheckScheme.PostProcessor
  Provides a hook for derived classes to further modify the data.
process(Instances, double[][], Evaluation) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
process(Instance, Classifier, Evaluation) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Process a classifier's prediction for an instance and update a set of plotting instances and additional plotting info.
processChangedLines(int, int) - Method in class weka.gui.scripting.SyntaxDocument
  Determine how many lines have been changed, then apply highlighting to each line.
processColour(String, Color) - Static method in class weka.gui.visualize.VisualizeUtils
  Parses a string containing either a named colour or r,g,b values.
processFile(String) - Method in class weka.classifiers.bayes.net.BIFReader
  processFile reads a BIFXML file and initializes a Bayes Net
processFilename(String) - Method in class weka.gui.Loader
  returns the processed filename, i.e.
processHeadlessEvents(List<EventObject>) - Method in class weka.gui.beans.CostBenefitAnalysis
  Process a list of events that have been collected earlier.
processHeadlessEvents(List<EventObject>) - Method in class weka.gui.beans.DataVisualizer
  Process a list of events that have been collected earlier.
processHeadlessEvents(List<EventObject>) - Method in interface weka.gui.beans.HeadlessEventCollector
  Process a list of events that have been collected earlier.
processHeadlessEvents(List<EventObject>) - Method in class weka.gui.beans.ModelPerformanceChart
  Process a list of events that have been collected earlier.
processHeadlessEvents(List<EventObject>) - Method in class weka.gui.beans.TextViewer
  Process a list of events that have been collected earlier.
PROCESSING - Static variable in class weka.experiment.TaskStatusInfo
processKeyString(String) - Static method in class weka.experiment.DatabaseUtils
  processes the string in such a way that it can be stored in the database, i.e., it changes backslashes into slashes and doubles single quotes.
processString(String) - Method in class weka.classifiers.bayes.net.BIFReader
PRODUCT_RULE - Static variable in class weka.classifiers.meta.Vote
  combination rule: Product of Probabilities (only nominal classes)
production_table() - Method in class weka.core.json.Parser
  Access to production table.
production_table() - Method in class weka.core.mathematicalexpression.Parser
  Access to production table.
production_table() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Access to production table.
PROPERTIES_DIR - Static variable in class weka.core.WekaPackageManager
  The default properties directory
PROPERTIES_FILE - Static variable in class weka.core.Capabilities
  the properties file for managing the tests
PROPERTIES_FILE - Static variable in class weka.core.logging.Logger
  the properties file.
PROPERTIES_FILE - Static variable in class weka.gui.scripting.GroovyPanel
  the Groovy setup.
PROPERTIES_FILE - Static variable in class weka.gui.scripting.JythonPanel
  the Groovy setup.
PROPERTIES_FILE - Static variable in class weka.gui.treevisualizer.TreeVisualizer
  the props file.
property - Variable in class weka.experiment.PropertyNode
  Other info about the property
PROPERTY_FILE - Static variable in class weka.core.Copyright
  the copyright file
PROPERTY_FILE - Static variable in class weka.experiment.DatabaseUtils
  The name of the properties file.
PROPERTY_FILE - Static variable in class weka.gui.experiment.ExperimenterDefaults
  The name of the properties file.
PROPERTY_FILE - Static variable in class weka.gui.explorer.ExplorerDefaults
  The name of the properties file.
PROPERTY_FILE - Static variable in class weka.gui.LookAndFeel
  The name of the properties file
propertyChange(PropertyChangeEvent) - Method in class weka.gui.beans.KnowledgeFlowApp
  Accept property change events
propertyChange(PropertyChangeEvent) - Method in class weka.gui.PropertySheetPanel
  Updates the property sheet panel with a changed property and also passed the event along.
PropertyDialog - Class in weka.gui
  Support for PropertyEditors with custom editors: puts the editor into a separate frame.
PropertyDialog(PropertyEditor, int, int) - Constructor for class weka.gui.PropertyDialog
  Deprecated.
  instead of this constructor, one should use the constructors with an explicit owner (either derived from `java.awt.Dialog` or from `java.awt.Frame`) or, if none available, using `(Frame) null` as owner.
PropertyDialog(Dialog, PropertyEditor) - Constructor for class weka.gui.PropertyDialog
  Creates the (screen-centered) editor dialog.
PropertyDialog(Dialog, PropertyEditor, int, int) - Constructor for class weka.gui.PropertyDialog
  Creates the editor dialog at the given position.
PropertyDialog(Frame, PropertyEditor) - Constructor for class weka.gui.PropertyDialog
  Creates the (screen-centered) editor dialog.
PropertyDialog(Frame, PropertyEditor, int, int) - Constructor for class weka.gui.PropertyDialog
  Creates the editor dialog at the given position.
PropertyHandler - Class in weka.core.xml
  This class stores information about properties to ignore or properties that are allowed for a certain class.
PropertyHandler() - Constructor for class weka.core.xml.PropertyHandler
  initializes the handling
PropertyNode - Class in weka.experiment
  Stores information on a property of an object: the class of the object with the property; the property descriptor, and the current value.
PropertyNode(Object) - Constructor for class weka.experiment.PropertyNode
  Creates a mostly empty property.
PropertyNode(Object, PropertyDescriptor, Class<?>) - Constructor for class weka.experiment.PropertyNode
  Creates a fully specified property node.
PropertyPanel - Class in weka.gui
  Support for drawing a property value in a component.
PropertyPanel(PropertyEditor) - Constructor for class weka.gui.PropertyPanel
  Create the panel with the supplied property editor.
PropertyPanel(PropertyEditor, boolean) - Constructor for class weka.gui.PropertyPanel
  Create the panel with the supplied property editor, optionally ignoring any custom panel the editor can provide.
PropertyPath - Class in weka.core
  A helper class for accessing properties in nested objects, e.g., accessing the "getRidge" method of a LinearRegression classifier part of MultipleClassifierCombiner, e.g., Vote.
PropertyPath() - Constructor for class weka.core.PropertyPath
PropertyPath.Path - Class in weka.core
  Contains a (property) path structure
PropertyPath.Path(String) - Constructor for class weka.core.PropertyPath.Path
  uses the given dot-path
PropertyPath.Path(Vector<PropertyPath.PathElement>) - Constructor for class weka.core.PropertyPath.Path
  uses the vector with PathElement objects to initialize with
PropertyPath.Path(String[]) - Constructor for class weka.core.PropertyPath.Path
  uses the given array as elements for the path
PropertyPath.PathElement - Class in weka.core
  Represents a single element of a property path
PropertyPath.PathElement(String) - Constructor for class weka.core.PropertyPath.PathElement
  initializes the path element with the given property
PropertySelectorDialog - Class in weka.gui
  Allows the user to select any (supported) property of an object, including properties that any of it's property values may have.
PropertySelectorDialog(Frame, Object) - Constructor for class weka.gui.PropertySelectorDialog
  Create the property selection dialog.
PropertySheetPanel - Class in weka.gui
  Displays a property sheet where (supported) properties of the target object may be edited.
PropertySheetPanel() - Constructor for class weka.gui.PropertySheetPanel
  Creates the property sheet panel.
ProtectedProperties - Class in weka.core
  Simple class that extends the Properties class so that the properties are unable to be modified.
ProtectedProperties(Properties) - Constructor for class weka.core.ProtectedProperties
  Creates a set of protected properties from a set of normal ones.
prune(Instances, boolean) - Method in class weka.classifiers.rules.JRip.RipperRule
  Prune all the possible final sequences of the rule using the pruning data.
prune() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
  Prunes a tree using C4.5's pruning procedure.
prune() - Method in class weka.classifiers.trees.j48.PruneableClassifierTree
  Prunes a tree.
prune(double) - Method in class weka.classifiers.trees.lmt.LMTNode
  Prunes a logistic model tree using the CART pruning scheme, given a cost-complexity parameter alpha.
prune(double[], double[], Instances) - Method in class weka.classifiers.trees.lmt.LMTNode
  Method for performing one fold in the cross-validation of the cost-complexity parameter.
prune() - Method in class weka.classifiers.trees.m5.RuleNode
  Recursively prune the tree
PruneableClassifierTree - Class in weka.classifiers.trees.j48
  Class for handling a tree structure that can be pruned using a pruning set.
PruneableClassifierTree(ModelSelection, boolean, int, boolean, int) - Constructor for class weka.classifiers.trees.j48.PruneableClassifierTree
  Constructor for pruneable tree structure.
PruneableDecList - Class in weka.classifiers.rules.part
  Class for handling a partial tree structure that can be pruned using a pruning set.
PruneableDecList(ModelSelection, int) - Constructor for class weka.classifiers.rules.part.PruneableDecList
  Constructor for pruneable partial tree structure.
pruneItemSets(ArrayList<Object>, Hashtable<ItemSet, Integer>) - Static method in class weka.associations.ItemSet
  Prunes a set of (k)-item sets using the given (k-1)-item sets.
pruneItemSets(ArrayList<Object>, Hashtable<ItemSet, Integer>) - Static method in class weka.associations.LabeledItemSet
  Prunes a set of (k)-item sets using the given (k-1)-item sets.
pruneRules(List<AssociationRule>, ArrayList<Item>, boolean) - Static method in class weka.associations.FPGrowth
pruneRules(ArrayList<Object>[], double) - Static method in class weka.associations.ItemSet
  Prunes a set of rules.
pruneToK(Instances, double[], int) - Method in class weka.classifiers.lazy.IBk
  Prunes the list to contain the k nearest neighbors.
PRUNING_LAMBDA - Static variable in class weka.classifiers.functions.supportVector.StringKernel
  Pruning method: Lambda See [2] for details.
PRUNING_NONE - Static variable in class weka.classifiers.functions.supportVector.StringKernel
  Pruning method: No Pruning
pruningMethodTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the tip text for this property
PSI - Static variable in class weka.core.matrix.Maths
  The constant 1 / sqrt(2 pi)
Puk - Class in weka.classifiers.functions.supportVector
  The Pearson VII function-based universal kernel.
  For more information see:
  B.
Puk() - Constructor for class weka.classifiers.functions.supportVector.Puk
  default constructor - does nothing.
Puk(Instances, int, double, double) - Constructor for class weka.classifiers.functions.supportVector.Puk
  Constructor.
PURE_INPUT - Static variable in class weka.classifiers.functions.neural.NeuralConnection
  This unit is a pure input unit.
PURE_OUTPUT - Static variable in class weka.classifiers.functions.neural.NeuralConnection
  This unit is a pure output unit.
push(T) - Method in class weka.core.neighboursearch.covertrees.Stack
  Pushes the given element to the stack.
push(Stack<T>, T) - Method in class weka.core.neighboursearch.covertrees.Stack
  Pushes the given element onto the given stack.
push(Object) - Method in class weka.core.Queue
  Appends an object to the back of the queue.
pushParameterDefs() - Method in class weka.core.pmml.DefineFunction
put(Object, Object) - Method in class weka.core.ProtectedProperties
  Overrides a method to prevent the properties from being modified.
putAll(Map<? extends Object, ? extends Object>) - Method in class weka.core.ProtectedProperties
  Overrides a method to prevent the properties from being modified.
putResultInTable(String, ResultProducer, Object[], Object[]) - Method in class weka.experiment.DatabaseUtils
  Executes a database query to insert a result for the supplied key into the database.

## Q

qr() - Method in class weka.core.matrix.Matrix
  QR Decomposition
QRDecomposition - Class in weka.core.matrix
  QR Decomposition.
QRDecomposition(Matrix) - Constructor for class weka.core.matrix.QRDecomposition
  QR Decomposition, computed by Householder reflections.
Quantile - Class in weka.core.pmml.jaxbbindings
  Java class for Quantile element declaration.
Quantile() - Constructor for class weka.core.pmml.jaxbbindings.Quantile
queryExecuted(QueryExecuteEvent) - Method in interface weka.gui.sql.event.QueryExecuteListener
  This method gets called when a query has been executed.
queryExecuted(QueryExecuteEvent) - Method in class weka.gui.sql.ResultPanel
  This method gets called when a query has been executed.
queryExecuted(QueryExecuteEvent) - Method in class weka.gui.sql.SqlViewer
  This method gets called when a query has been executed.
QueryExecuteEvent - Class in weka.gui.sql.event
  An event that is generated when a query is executed.
QueryExecuteEvent(Object, DbUtils, String, int, ResultSet, Exception) - Constructor for class weka.gui.sql.event.QueryExecuteEvent
  constructs the event
QueryExecuteListener - Interface in weka.gui.sql.event
  A listener for executing queries.
QueryPanel - Class in weka.gui.sql
  Represents a panel for entering an SQL query.
QueryPanel(JFrame) - Constructor for class weka.gui.sql.QueryPanel
  initializes the panel.
queryTipText() - Method in class weka.core.converters.DatabaseLoader
  the tip text for this property
queryTipText() - Method in class weka.experiment.InstanceQuery
  Returns the tip text for this property
Queue - Class in weka.core
  Class representing a FIFO queue.
Queue() - Constructor for class weka.core.Queue
quickSort(double[], double[], int, int) - Static method in class weka.core.neighboursearch.NearestNeighbourSearch
  performs quicksort.
quote(String) - Static method in class weka.core.Utils
  Quotes a string if it contains special characters.

## R

R_MAX - Static variable in class weka.core.NormalizableDistance
  Index in ranges for MAX.
R_MIN - Static variable in class weka.core.NormalizableDistance
  Index in ranges for MIN.
R_WIDTH - Static variable in class weka.core.NormalizableDistance
  Index in ranges for WIDTH.
RadialBasisKernelType - Class in weka.core.pmml.jaxbbindings
  Java class for RadialBasisKernelType element declaration.
RadialBasisKernelType() - Constructor for class weka.core.pmml.jaxbbindings.RadialBasisKernelType
Rainbow - Class in weka.core.stopwords
  Stopwords list based on Rainbow:
  http://www.cs.cmu.edu/~mccallum/bow/rainbow/

  Valid options are:

Rainbow() - Constructor for class weka.core.stopwords.Rainbow
randEntropy - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
  used/reused to hold the random entropy
RANDOM - Static variable in class weka.clusterers.SimpleKMeans
random(int) - Static method in class weka.core.matrix.DoubleVector
  Returns a random vector of uniform distribution
random(int, int) - Static method in class weka.core.matrix.Matrix
  Generate matrix with random elements
RANDOM - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
  Constant set for choice of pattern.
RANDOM - Static variable in class weka.filters.supervised.attribute.ClassOrder
  The class values are sorted in random order
RandomCommittee - Class in weka.classifiers.meta
  Class for building an ensemble of randomizable base classifiers.
RandomCommittee() - Constructor for class weka.classifiers.meta.RandomCommittee
  Constructor.
RandomForest - Class in weka.classifiers.trees
  Class for constructing a forest of random trees.
  For more information see:
  Leo Breiman (2001).
RandomForest() - Constructor for class weka.classifiers.trees.RandomForest
Randomizable - Interface in weka.core
  Interface to something that has random behaviour that is able to be seeded with an integer.
RandomizableClassifier - Class in weka.classifiers
  Abstract utility class for handling settings common to randomizable classifiers.
RandomizableClassifier() - Constructor for class weka.classifiers.RandomizableClassifier
RandomizableClusterer - Class in weka.clusterers
  Abstract utility class for handling settings common to randomizable clusterers.
RandomizableClusterer() - Constructor for class weka.clusterers.RandomizableClusterer
RandomizableDensityBasedClusterer - Class in weka.clusterers
  Abstract utility class for handling settings common to randomizable clusterers.
RandomizableDensityBasedClusterer() - Constructor for class weka.clusterers.RandomizableDensityBasedClusterer
RandomizableFilteredClassifier - Class in weka.classifiers.meta
  Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
RandomizableFilteredClassifier() - Constructor for class weka.classifiers.meta.RandomizableFilteredClassifier
  Default constructor.
RandomizableIteratedSingleClassifierEnhancer - Class in weka.classifiers
  Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.
RandomizableIteratedSingleClassifierEnhancer() - Constructor for class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
RandomizableMultipleClassifiersCombiner - Class in weka.classifiers
  Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from multiple classifiers based on a given random number seed.
RandomizableMultipleClassifiersCombiner() - Constructor for class weka.classifiers.RandomizableMultipleClassifiersCombiner
RandomizableParallelIteratedSingleClassifierEnhancer - Class in weka.classifiers
  Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble in parallel from a single base learner.
RandomizableParallelIteratedSingleClassifierEnhancer() - Constructor for class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
RandomizableParallelMultipleClassifiersCombiner - Class in weka.classifiers
  Abstract utility class for handling settings common to meta classifiers that build an ensemble in parallel using multiple classifiers based on a given random number seed.
RandomizableParallelMultipleClassifiersCombiner() - Constructor for class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
RandomizableSingleClassifierEnhancer - Class in weka.classifiers
  Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.
RandomizableSingleClassifierEnhancer() - Constructor for class weka.classifiers.RandomizableSingleClassifierEnhancer
RandomizableSingleClustererEnhancer - Class in weka.clusterers
  Abstract utility class for handling settings common to randomizable clusterers.
RandomizableSingleClustererEnhancer() - Constructor for class weka.clusterers.RandomizableSingleClustererEnhancer
randomize(int[], Random) - Method in class weka.classifiers.BVDecomposeSegCVSub
  Accepts an array of ints and randomises the values in the array, using the random seed.
randomize(Random) - Method in class weka.core.Instances
  Shuffles the instances in the set so that they are ordered randomly.
Randomize - Class in weka.filters.unsupervised.instance
  Randomly shuffles the order of instances passed through it.
Randomize() - Constructor for class weka.filters.unsupervised.instance.Randomize
RANDOMIZED - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
  Constant set for input order (default)
randomizeDataTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the tip text for this property.
randomizeDataTipText() - Method in class weka.experiment.RandomSplitResultProducer
  Returns the tip text for this property
RandomLiftGraph - Class in weka.core.pmml.jaxbbindings
  Java class for RandomLiftGraph element declaration.
RandomLiftGraph() - Constructor for class weka.core.pmml.jaxbbindings.RandomLiftGraph
randomOrderTipText() - Method in class weka.classifiers.bayes.net.search.global.K2
randomOrderTipText() - Method in class weka.classifiers.bayes.net.search.local.K2
RandomProjection - Class in weka.filters.unsupervised.attribute
  Reduces the dimensionality of the data by projecting it onto a lower dimensional subspace using a random matrix with columns of unit length (i.e.
RandomProjection() - Constructor for class weka.filters.unsupervised.attribute.RandomProjection
RandomRBF - Class in weka.datagenerators.classifiers.classification
  RandomRBF data is generated by first creating a random set of centers for each class.
RandomRBF() - Constructor for class weka.datagenerators.classifiers.classification.RandomRBF
  initializes the generator with default values
randomSeedTipText() - Method in class weka.classifiers.functions.SMO
  Returns the tip text for this property
randomSeedTipText() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
  Returns the tip text for this property.
randomSeedTipText() - Method in class weka.filters.supervised.instance.Resample
  Returns the tip text for this property.
randomSeedTipText() - Method in class weka.filters.supervised.instance.SpreadSubsample
  Returns the tip text for this property
randomSeedTipText() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Returns the tip text for this property
randomSeedTipText() - Method in class weka.filters.unsupervised.instance.Randomize
  Returns the tip text for this property
randomSeedTipText() - Method in class weka.filters.unsupervised.instance.Resample
  Returns the tip text for this property
randomSeedTipText() - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Returns the tip text for this property
RandomSplitResultProducer - Class in weka.experiment
  Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results.
RandomSplitResultProducer() - Constructor for class weka.experiment.RandomSplitResultProducer
RandomSubset - Class in weka.filters.unsupervised.attribute
  Chooses a random subset of attributes, either an absolute number or a percentage.
RandomSubset() - Constructor for class weka.filters.unsupervised.attribute.RandomSubset
RandomSubSpace - Class in weka.classifiers.meta
  This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows in complexity.
RandomSubSpace() - Constructor for class weka.classifiers.meta.RandomSubSpace
  Constructor.
randomTipText() - Method in class weka.datagenerators.DataGenerator
  Returns the tip text for this property
RandomTree - Class in weka.classifiers.trees
  Class for constructing a tree that considers K randomly chosen attributes at each node.
RandomTree() - Constructor for class weka.classifiers.trees.RandomTree
RandomVariates - Class in weka.core
  Class implementing some simple random variates generator.
RandomVariates() - Constructor for class weka.core.RandomVariates
  Simply the constructor of super class
RandomVariates(long) - Constructor for class weka.core.RandomVariates
  Simply the constructor of super class
randomWidthFactorTipText() - Method in class weka.classifiers.meta.MultiClassClassifier
Range - Class in weka.core
  Class representing a range of cardinal numbers.
Range() - Constructor for class weka.core.Range
  Default constructor.
Range(String) - Constructor for class weka.core.Range
  Constructor to set initial range.
rangesSet() - Method in class weka.core.NormalizableDistance
  Check if ranges are set.
rangesTipText() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Returns the tip text for this property.
rank() - Method in class weka.core.matrix.Matrix
  Matrix rank
rank() - Method in class weka.core.matrix.SingularValueDecomposition
  Effective numerical matrix rank
rankedAttributes() - Method in class weka.attributeSelection.AttributeSelection
  get the final ranking of the attributes.
rankedAttributes() - Method in class weka.attributeSelection.GreedyStepwise
  Produces a ranked list of attributes.
rankedAttributes() - Method in interface weka.attributeSelection.RankedOutputSearch
  Returns a X by 2 list of attribute indexes and corresponding evaluations from best (highest) to worst.
rankedAttributes() - Method in class weka.attributeSelection.Ranker
  Sorts the evaluated attribute list
RankedOutputSearch - Interface in weka.attributeSelection
  Interface for search methods capable of producing a ranked list of attributes.
Ranker - Class in weka.attributeSelection
  Ranker :
  Ranks attributes by their individual evaluations.
Ranker() - Constructor for class weka.attributeSelection.Ranker
  Constructor
rawOutputTipText() - Method in class weka.experiment.CrossValidationResultProducer
  Returns the tip text for this property
rawOutputTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the tip text for this property.
rawOutputTipText() - Method in class weka.experiment.RandomSplitResultProducer
  Returns the tip text for this property
RBFKernel - Class in weka.classifiers.functions.supportVector
  The RBF kernel.
RBFKernel() - Constructor for class weka.classifiers.functions.supportVector.RBFKernel
  default constructor - does nothing.
RBFKernel(Instances, int, double) - Constructor for class weka.classifiers.functions.supportVector.RBFKernel
  Constructor.
rchisq(int, double, Random) - Static method in class weka.core.matrix.Maths
  Generates a sample of a Chi-square distribution.
RCURLY - Static variable in interface weka.core.json.sym
RDG1 - Class in weka.datagenerators.classifiers.classification
  A data generator that produces data randomly by producing a decision list.
  The decision list consists of rules.
  Instances are generated randomly one by one.
RDG1() - Constructor for class weka.datagenerators.classifiers.classification.RDG1
  initializes the generator with default values
read(String) - Static method in class weka.core.converters.ConverterUtils.DataSource
  convencience method for loading a dataset in batch mode.
read(InputStream) - Static method in class weka.core.converters.ConverterUtils.DataSource
  convencience method for loading a dataset in batch mode from a stream.
read(Loader) - Static method in class weka.core.converters.ConverterUtils.DataSource
  convencience method for loading a dataset in batch mode.
read(Reader) - Static method in class weka.core.json.JSONNode
  Reads the JSON object from the given reader.
read(BufferedReader) - Static method in class weka.core.matrix.Matrix
  Read a matrix from a stream.
read(String) - Static method in class weka.core.SerializationHelper
  deserializes the given file and returns the object from it.
read(InputStream) - Static method in class weka.core.SerializationHelper
  deserializes from the given stream and returns the object from it.
read(String) - Method in class weka.core.Stopwords
  Generates a new Stopwords object from the given file
read(File) - Method in class weka.core.Stopwords
  Generates a new Stopwords object from the given file
read(BufferedReader) - Method in class weka.core.Stopwords
  Generates a new Stopwords object from the reader.
read(String) - Static method in class weka.core.xml.KOML
  reads the XML-serialized object from the given file
read(File) - Static method in class weka.core.xml.KOML
  reads the XML-serialized object from the given file
read(InputStream) - Static method in class weka.core.xml.KOML
  reads the XML-serialized object from a stream
read(String) - Method in class weka.core.xml.XMLDocument
  parses the given XML string (can be XML or a filename) and returns a DOM Document.
read(File) - Method in class weka.core.xml.XMLDocument
  parses the given file and returns a DOM document.
read(InputStream) - Method in class weka.core.xml.XMLDocument
  parses the given stream and returns a DOM document.
read(Reader) - Method in class weka.core.xml.XMLDocument
  parses the given reader and returns a DOM document.
read(String) - Method in class weka.core.xml.XMLSerialization
  parses the given XML string (can be XML or a filename) and returns an Object generated from the representation
read(File) - Method in class weka.core.xml.XMLSerialization
  parses the given file and returns a DOM document
read(InputStream) - Method in class weka.core.xml.XMLSerialization
  parses the given stream and returns a DOM document
read(Reader) - Method in class weka.core.xml.XMLSerialization
  parses the given reader and returns a DOM document
read() - Method in class weka.core.xml.XMLSerializationMethodHandler
  returns the handler for read methods
read(String) - Static method in class weka.core.xml.XStream
  reads the XML-serialized object from the given file
read(File) - Static method in class weka.core.xml.XStream
  reads the XML-serialized object from the given file
read(InputStream) - Static method in class weka.core.xml.XStream
  reads the XML-serialized object from the given input stream
read(Reader) - Static method in class weka.core.xml.XStream
  reads the XML-serialized object from the given Reader
read(String) - Static method in class weka.experiment.Experiment
  Loads an experiment from a file.
readAll(String) - Static method in class weka.core.SerializationHelper
  deserializes the given file and returns the objects from it.
readAll(InputStream) - Static method in class weka.core.SerializationHelper
  deserializes from the given stream and returns the object from it.
readBeanConnection(Element) - Method in class weka.gui.beans.xml.XMLBeans
  builds the BeanConnection from the given DOM node.
readBeanInstance(Element) - Method in class weka.gui.beans.xml.XMLBeans
  builds the BeanInstance from the given DOM node.
readBeanVisual(Element) - Method in class weka.gui.beans.xml.XMLBeans
  builds the BeanVisual from the given DOM node.
readBIF(String) - Method in class weka.gui.graphvisualizer.GraphVisualizer
  BIF reader
  Reads a graph description in XMLBIF03 from a string
readBIF(InputStream) - Method in class weka.gui.graphvisualizer.GraphVisualizer
  BIF reader
  Reads a graph description in XMLBIF03 from an InputStrem
readBIFFromFile(String) - Method in class weka.classifiers.bayes.net.GUI
  BIF reader
  Reads a graph description in XMLBIF03 from an file with name sFileName
readBooleanFromXML(Element) - Method in class weka.core.xml.XMLSerialization
  builds the primitive from the given DOM node.
readByteFromXML(Element) - Method in class weka.core.xml.XMLSerialization
  builds the primitive from the given DOM node.
readCharFromXML(Element) - Method in class weka.core.xml.XMLSerialization
  builds the primitive from the given DOM node.
readCollection(Element) - Method in class weka.core.xml.XMLBasicSerialization
  builds the Collection from the given DOM node.
readColor(Element) - Method in class weka.gui.beans.xml.XMLBeans
  builds the Color from the given DOM node.
readColorUIResource(Element) - Method in class weka.gui.beans.xml.XMLBeans
  builds the ColorUIResource from the given DOM node.
readCostMatrixOld(Element) - Method in class weka.core.xml.XMLBasicSerialization
  builds the Matrix (old) from the given DOM node.
readDefaultListModel(Element) - Method in class weka.core.xml.XMLBasicSerialization
  builds the DefaultListModel from the given DOM node.
readDimension(Element) - Method in class weka.gui.beans.xml.XMLBeans
  builds the Dimension from the given DOM node.
readDOT(Reader) - Method in class weka.gui.graphvisualizer.GraphVisualizer
  Dot reader
  Reads a graph description in DOT format from a string
readDoubleFromXML(Element) - Method in class weka.core.xml.XMLSerialization
  builds the primitive from the given DOM node.
ReaderToTextPane - Class in weka.gui
  A class that sends all lines from a reader to a JTextPane component.
ReaderToTextPane(Reader, JTextPane) - Constructor for class weka.gui.ReaderToTextPane
  Sets up the thread.
ReaderToTextPane(Reader, JTextPane, Color) - Constructor for class weka.gui.ReaderToTextPane
  Sets up the thread.
readFloatFromXML(Element) - Method in class weka.core.xml.XMLSerialization
  builds the primitive from the given DOM node.
readFont(Element) - Method in class weka.gui.beans.xml.XMLBeans
  builds the Font from the given DOM node.
readFontUIResource(Element) - Method in class weka.gui.beans.xml.XMLBeans
  builds the FontUIResource from the given DOM node.
readFromXML(Object, String, Element) - Method in class weka.core.xml.XMLSerialization
  adds the specific node to the object via a set method
readFromXML(Element) - Method in class weka.core.xml.XMLSerialization
  builds the object from the given DOM node.
readInstance(Instances) - Method in class weka.core.converters.ArffLoader.ArffReader
  Reads a single instance using the tokenizer and returns it.
readInstance(Instances, boolean) - Method in class weka.core.converters.ArffLoader.ArffReader
  Reads a single instance using the tokenizer and returns it.
readInstance(Reader) - Method in class weka.core.Instances
  Deprecated.
  instead of using this method in conjunction with the `readInstance(Reader)` method, one should use the `ArffLoader` or `DataSource` class instead.
readIntFromXML(Element) - Method in class weka.core.xml.XMLSerialization
  builds the primitive from the given DOM node.
readLoader(Element) - Method in class weka.gui.beans.xml.XMLBeans
  builds the Loader from the given DOM node.
readLongFromXML(Element) - Method in class weka.core.xml.XMLSerialization
  builds the primitive from the given DOM node.
readMap(Element) - Method in class weka.core.xml.XMLBasicSerialization
  builds the Map from the given DOM node.
readMatrix(Element) - Method in class weka.core.xml.XMLBasicSerialization
  builds the Matrix from the given DOM node.
readMatrixOld(Element) - Method in class weka.core.xml.XMLBasicSerialization
  builds the Matrix (old) from the given DOM node.
readMetaBean(Element) - Method in class weka.gui.beans.xml.XMLBeans
  builds the MetaBean from the given DOM node.
readOldFormat(Reader) - Method in class weka.classifiers.CostMatrix
  Loads a cost matrix in the old format from a reader.
readPoint(Element) - Method in class weka.gui.beans.xml.XMLBeans
  builds the Point from the given DOM node.
readProperties(String) - Static method in class weka.core.Utils
  Reads properties that inherit from three locations.
readPropertyNode(Element) - Method in class weka.experiment.xml.XMLExperiment
  builds the PropertyNode from the given DOM node.
readSaver(Element) - Method in class weka.gui.beans.xml.XMLBeans
  builds the Saver from the given DOM node.
readShortFromXML(Element) - Method in class weka.core.xml.XMLSerialization
  builds the primitive from the given DOM node.
realCount - Variable in class weka.core.AttributeStats
  The number of real-like values (i.e.
REALSparseArray - Class in weka.core.pmml.jaxbbindings
  Java class for REAL-SparseArray element declaration.
REALSparseArray() - Constructor for class weka.core.pmml.jaxbbindings.REALSparseArray
recall(int) - Method in class weka.classifiers.evaluation.Evaluation
  Calculate the recall with respect to a particular class.
recall(int) - Method in class weka.classifiers.Evaluation
  Calculate the recall with respect to a particular class.
RECALL_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: Recall
RECTANGLE - Static variable in class weka.gui.visualize.VisualizePanelEvent
redo() - Method in class weka.classifiers.bayes.net.EditableBayesNet
  redo the last edit action performed on the network.
reduce_table() - Method in class weka.core.json.Parser
  Access to `reduce_goto` table.
reduce_table() - Method in class weka.core.mathematicalexpression.Parser
  Access to `reduce_goto` table.
reduce_table() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Access to `reduce_goto` table.
reducedErrorPruningTipText() - Method in class weka.classifiers.rules.PART
  Returns the tip text for this property
reducedErrorPruningTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
reduceDimensionality(Instances) - Method in class weka.attributeSelection.AttributeSelection
  reduce the dimensionality of a set of instances to include only those attributes chosen by the last run of attribute selection.
reduceDimensionality(Instance) - Method in class weka.attributeSelection.AttributeSelection
  reduce the dimensionality of a single instance to include only those attributes chosen by the last run of attribute selection.
reduceDL(double, boolean) - Method in class weka.classifiers.rules.RuleStats
  Try to reduce the DL of the ruleset by testing removing the rules one by one in reverse order and update all the stats
reduceMatrix(double[][]) - Static method in class weka.core.ContingencyTables
  Reduces a matrix by deleting all zero rows and columns.
reduceNumberOfDistanceCalcsViaCanopiesTipText() - Method in class weka.clusterers.SimpleKMeans
  Returns the tip text for this property.
refresh() - Method in class weka.gui.arffviewer.ArffViewer
  validates and repaints the frame
refresh() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  validates and repaints the frame
refreshCache(PrintStream...) - Static method in class weka.core.WekaPackageManager
  Refresh the local copy of the package meta data
refreshFreqTipText() - Method in class weka.gui.beans.StripChart
  GUI Tip text
refreshGOEProperties() - Static method in class weka.core.WekaPackageManager
  Refresh the generic object editor properties via re-running of the dynamic class discovery process.
regenerateGlobalOutputProperties() - Static method in class weka.gui.GenericPropertiesCreator
  Regenerate the global output properties.
REGEXP - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
RegExpFromFile - Class in weka.core.stopwords
  Uses the regular expressions stored in the file for determining whether a word is a stopword (ignored if pointing to a directory).
RegExpFromFile() - Constructor for class weka.core.stopwords.RegExpFromFile
register(Object, Class<?>, String) - Method in class weka.core.xml.XMLSerializationMethodHandler
  adds read and write methods for the given class, i.e., read&;lt;name> and write<name> ("name" is prefixed by read and write)
registerEditor(String, String) - Static method in class weka.gui.GenericObjectEditor
registerEditors() - Static method in class weka.gui.GenericObjectEditor
  registers all the editors in Weka.
RegOptimizer - Class in weka.classifiers.functions.supportVector
  Base class implementation for learning algorithm of SMOreg Valid options are:

RegOptimizer() - Constructor for class weka.classifiers.functions.supportVector.RegOptimizer
  the default constructor
regOptimizerTipText() - Method in class weka.classifiers.functions.SMOreg
  Returns the tip text for this property
Regression - Class in weka.classifiers.pmml.consumer
  Class implementing import of PMML Regression model.
Regression(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.Regression
  Constructs a new PMML Regression.
regression(Matrix, double) - Method in class weka.core.matrix.Matrix
  Performs a (ridged) linear regression.
regression(Matrix, double[], double) - Method in class weka.core.matrix.Matrix
  Performs a weighted (ridged) linear regression.
regression(Matrix, double) - Method in class weka.core.Matrix
  Deprecated.
  Performs a (ridged) linear regression.
regression(Matrix, double[], double) - Method in class weka.core.Matrix
  Deprecated.
  Performs a weighted (ridged) linear regression.
Regression - Class in weka.core.pmml.jaxbbindings
  Java class for Regression element declaration.
Regression() - Constructor for class weka.core.pmml.jaxbbindings.Regression
RegressionAnalysis - Class in weka.classifiers.evaluation
  Analyzes linear regression model by using the Student's t-test on each coefficient.
RegressionAnalysis() - Constructor for class weka.classifiers.evaluation.RegressionAnalysis
RegressionByDiscretization - Class in weka.classifiers.meta
  A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized.
RegressionByDiscretization() - Constructor for class weka.classifiers.meta.RegressionByDiscretization
  Default constructor.
RegressionGenerator - Class in weka.datagenerators
  Abstract class for data generators for regression classifiers.
RegressionGenerator() - Constructor for class weka.datagenerators.RegressionGenerator
  initializes the generator with default values
RegressionModel - Class in weka.core.pmml.jaxbbindings
  Java class for RegressionModel element declaration.
RegressionModel() - Constructor for class weka.core.pmml.jaxbbindings.RegressionModel
REGRESSIONNORMALIZATIONMETHOD - Enum in weka.core.pmml.jaxbbindings
  Java class for REGRESSIONNORMALIZATIONMETHOD.
RegressionSplitEvaluator - Class in weka.experiment
  A SplitEvaluator that produces results for a classification scheme on a numeric class attribute.
RegressionSplitEvaluator() - Constructor for class weka.experiment.RegressionSplitEvaluator
  No args constructor.
RegressionTable - Class in weka.core.pmml.jaxbbindings
  Java class for RegressionTable element declaration.
RegressionTable() - Constructor for class weka.core.pmml.jaxbbindings.RegressionTable
RegressionTable(String) - Constructor for class weka.core.pmml.jaxbbindings.RegressionTable
RegSMO - Class in weka.classifiers.functions.supportVector
  Implementation of SMO for support vector regression as described in :
  A.J.
RegSMO() - Constructor for class weka.classifiers.functions.supportVector.RegSMO
  default constructor
RegSMOImproved - Class in weka.classifiers.functions.supportVector
  Learn SVM for regression using SMO with Shevade, Keerthi, et al.
RegSMOImproved() - Constructor for class weka.classifiers.functions.supportVector.RegSMOImproved
reInitialize() - Static method in class weka.gui.beans.KnowledgeFlowApp
relation() - Method in class weka.core.Attribute
  Returns the header info for a relation-valued attribute, null if the attribute is not relation-valued.
relation(int) - Method in class weka.core.Attribute
  Returns a value of a relation-valued attribute.
RELATION - Static variable in class weka.core.json.JSONInstances
  the relation name.
RELATION_NAME - Static variable in class weka.classifiers.evaluation.CostCurve
  The name of the relation used in cost curve datasets
RELATION_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  The name of the relation used in threshold curve datasets
RELATIONAL - Static variable in class weka.core.Attribute
  Constant set for relation-valued attributes.
RelationalAttributeInfo - Class in weka.core
  Stores information for relational attributes.
RelationalAttributeInfo(Instances) - Constructor for class weka.core.RelationalAttributeInfo
  Constructs the information object based on the given parameter.
RelationalLocator - Class in weka.core
  This class locates and records the indices of relational attributes,
RelationalLocator(Instances) - Constructor for class weka.core.RelationalLocator
  Initializes the RelationalLocator with the given data.
RelationalLocator(Instances, int, int) - Constructor for class weka.core.RelationalLocator
  Initializes the RelationalLocator with the given data.
RelationalLocator(Instances, int[]) - Constructor for class weka.core.RelationalLocator
  Initializes the RelationalLocator with the given data.
relationalValue(int) - Method in class weka.core.AbstractInstance
  Returns the relational value of a relational attribute.
relationalValue(Attribute) - Method in class weka.core.AbstractInstance
  Returns the relational value of a relational attribute.
relationalValue(int) - Method in interface weka.core.Instance
  Returns the relational value of a relational attribute.
relationalValue(Attribute) - Method in interface weka.core.Instance
  Returns the relational value of a relational attribute.
relationFindTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the tip text for this property.
relationForTableNameTipText() - Method in class weka.core.converters.DatabaseSaver
  Returns the tip text fo this property.
relationName() - Method in class weka.core.Instances
  Returns the relation's name.
relationNameTipText() - Method in class weka.datagenerators.DataGenerator
  Returns the tip text for this property
relationReplaceTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the tip text for this property.
relativeAbsoluteError() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the relative absolute error.
relativeAbsoluteError() - Method in class weka.classifiers.Evaluation
  Returns the relative absolute error.
relativeDL(int, double, boolean) - Method in class weka.classifiers.rules.RuleStats
  The description length (DL) of the ruleset relative to if the rule in the given position is deleted, which is obtained by:
  MDL if the rule exists - MDL if the rule does not exist
  Note the minimal possible DL of the ruleset is calculated(i.e.
ReliefFAttributeEval - Class in weka.attributeSelection
  ReliefFAttributeEval :
  Evaluates the worth of an attribute by repeatedly sampling an instance and considering the value of the given attribute for the nearest instance of the same and different class.
ReliefFAttributeEval() - Constructor for class weka.attributeSelection.ReliefFAttributeEval
  Constructor
RemoteBoundaryVisualizerSubTask - Class in weka.gui.boundaryvisualizer
  Class that encapsulates a sub task for distributed boundary visualization.
RemoteBoundaryVisualizerSubTask() - Constructor for class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
RemoteEngine - Class in weka.experiment
  A general purpose server for executing Task objects sent via RMI.
RemoteEngine(String) - Constructor for class weka.experiment.RemoteEngine
  Constructor
RemoteExperiment - Class in weka.experiment
  Holds all the necessary configuration information for a distributed experiment.
RemoteExperiment() - Constructor for class weka.experiment.RemoteExperiment
  Construct a new RemoteExperiment using an empty Experiment as base Experiment
RemoteExperiment(Experiment) - Constructor for class weka.experiment.RemoteExperiment
  Construct a new RemoteExperiment using a base Experiment
RemoteExperimentEvent - Class in weka.experiment
  Class encapsulating information on progress of a remote experiment
RemoteExperimentEvent(boolean, boolean, boolean, String) - Constructor for class weka.experiment.RemoteExperimentEvent
  Constructor
RemoteExperimentListener - Interface in weka.experiment
  Interface for classes that want to listen for updates on RemoteExperiment progress
remoteExperimentStatus(RemoteExperimentEvent) - Method in interface weka.experiment.RemoteExperimentListener
  Called when progress has been made in a remote experiment
RemoteExperimentSubTask - Class in weka.experiment
  Class to encapsulate an experiment as a task that can be executed on a remote host.
RemoteExperimentSubTask() - Constructor for class weka.experiment.RemoteExperimentSubTask
RemoteResult - Class in weka.gui.boundaryvisualizer
  Class that encapsulates a result (and progress info) for part of a distributed boundary visualization.
RemoteResult(int, int) - Constructor for class weka.gui.boundaryvisualizer.RemoteResult
  Creates a new `RemoteResult` instance.
remove(String) - Method in class weka.core.ClassCache
  Removes the classname from the cache.
remove(int) - Method in class weka.core.Instances
  Removes the instance at the given position.
remove(Object) - Method in class weka.core.ProtectedProperties
  Overrides a method to prevent the properties from being modified.
remove(String) - Method in class weka.core.Stopwords
  removes the word from the stopword list
remove(PrintStream) - Method in class weka.core.Tee
  removes the given PrintStream from the list.
remove(int) - Method in class weka.core.Tee
  removes the given PrintStream from the list.
remove(Object) - Method in class weka.core.Trie
  Removes a single instance of the specified element from this collection, if it is present.
remove() - Method in class weka.core.Trie.TrieIterator
  ignored
remove(String) - Method in class weka.core.Trie.TrieNode
  Removes a suffix from the trie.
remove(String) - Method in class weka.core.xml.MethodHandler
  removes the method for the property specified by the display name from its internal list.
remove(Class<?>) - Method in class weka.core.xml.MethodHandler
  removes the method for the specified class from its internal list.
Remove - Class in weka.filters.unsupervised.attribute
  An filter that removes a range of attributes from the dataset.
Remove() - Constructor for class weka.filters.unsupervised.attribute.Remove
  Constructor so that we can initialize the Range variable properly.
remove(Integer...) - Method in class weka.gui.beans.BeanConnection
  Remove this connection
remove(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Removes the element at the specified position in this list.
remove(int, int) - Method in class weka.gui.scripting.SyntaxDocument
  Applies syntax highlighting after the document has been updated.
REMOVE_CHILDREN - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
REMOVE_POINT_RADIUS - Static variable in class weka.gui.boundaryvisualizer.BoundaryPanel
  The distance we can click away from a point in the GUI and still remove it.
removeActionListener(ActionListener) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Remove a listener
removeAll(Collection<?>) - Method in class weka.core.Trie
  Removes all this collection's elements that are also contained in the specified collection
removeAllBeansFromContainer(JComponent, Integer...) - Static method in class weka.gui.beans.BeanInstance
  Removes all beans from containing component
removeAllElements() - Method in class weka.core.FastVector
  Deprecated.
  Removes all components from this vector and sets its size to zero.
removeAllElements() - Method in class weka.core.Queue
  Removes all objects from the queue m_Tail.m_Next.
removeAllInputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
  This function will remove all the inputs to this unit.
removeAllInputs() - Method in class weka.classifiers.functions.neural.NeuralNode
  This function will remove all the inputs to this unit.
removeAllInstances() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Deletes all training instances from our dataset.
removeAllMissingColsTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
removeAllOutputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
  This function will remove all outputs to this unit.
removeAllowed(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
  removes the given property (display name) for the specified class from the list of allowed properties.
removeAllPlots() - Method in class weka.gui.visualize.Plot2D
  Clears all plots
removeAllPlots() - Method in class weka.gui.visualize.VisualizePanel
  Removes all the plots.
removeBatchAssociationRulesListener(BatchAssociationRulesListener) - Method in class weka.gui.beans.Associator
  Remove a batch association rules listener
removeBatchClassifierListener(BatchClassifierListener) - Method in class weka.gui.beans.Classifier
  Remove a batch classifier listener
removeBatchClustererListener(BatchClustererListener) - Method in class weka.gui.beans.Clusterer
  Remove a batch clusterer listener
removeBean(JComponent, Integer...) - Method in class weka.gui.beans.BeanInstance
  Remove this bean from the list of beans and from the containing component
removeBeanInstances(JComponent, Integer) - Static method in class weka.gui.beans.BeanInstance
  Remove the vector of bean instances from the supplied index in the list of collections.
RemoveByName - Class in weka.filters.unsupervised.attribute
  Removes attributes based on a regular expression matched against their names.
RemoveByName() - Constructor for class weka.filters.unsupervised.attribute.RemoveByName
removeCancelListener(ActionListener) - Method in class weka.gui.GenericObjectEditor.GOEPanel
  This is used to remove an action listener from the cancel button.
removeCapabilitiesFilter() - Method in class weka.gui.GenericObjectEditor
  Removes the current Capabilities filter.
removeCapabilitiesFilterListener(Explorer.CapabilitiesFilterChangeListener) - Method in class weka.gui.explorer.Explorer
  Removes the specified listener from the set of listeners if it is present.
removeChangeListener(ChangeListener) - Method in class weka.gui.arffviewer.ArffPanel
  Removes a ChangeListener from the panel
removeChangeListener(ChangeListener) - Method in class weka.gui.arffviewer.ArffTable
  Removes a ChangeListener from the panel
removeChartListener(ChartListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Remove a chart listener
removeChildFrame(Container) - Method in class weka.gui.GUIChooser
  tries to remove the child frame, it returns true if it could do such.
removeChildFrame(Container) - Method in class weka.gui.Main
  tries to remove the child frame, it returns true if it could do such.
removeClassColumnTipText() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Returns the tip text for this property
removeConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Associator
  We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
removeConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Classifier
  We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
removeConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Clusterer
  We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
removeConfigurationListener(ConfigurationListener) - Method in interface weka.gui.beans.ConfigurationProducer
  We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
removeConfigurationListener(ConfigurationListener) - Method in class weka.gui.beans.Filter
  We don't have to keep track of configuration listeners (see the documentation for ConfigurationListener/ConfigurationEvent).
removeConnectionList(Integer) - Static method in class weka.gui.beans.BeanConnection
  Remove the list of connections at the supplied index
removeConnectionListener(ConnectionListener) - Method in class weka.gui.sql.ConnectionPanel
  removes the given listener from the list of listeners.
removeConnectionListener(ConnectionListener) - Method in class weka.gui.sql.SqlViewer
  removes the given listener from the list of listeners.
removeConnections(BeanInstance, Integer...) - Static method in class weka.gui.beans.BeanConnection
  Remove all connections for a bean.
removeDataFormatListener(DataFormatListener) - Method in class weka.gui.beans.ClassAssigner
removeDataFormatListener(DataFormatListener) - Method in class weka.gui.beans.ClassValuePicker
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.AbstractDataSource
  Remove a listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Appender
  Remove a data source listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.ClassAssigner
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.ClassValuePicker
removeDataSourceListener(DataSourceListener) - Method in interface weka.gui.beans.DataSource
  Remove a data source listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.DataVisualizer
  Remove a listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Filter
  Remove a data source listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.FlowByExpression
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Join
  Remove a data souce listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Loader
  Remove a listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.PredictionAppender
  Remove a datasource listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.Sorter
  Remove a datasource listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.SubstringLabeler
  Remove a datasource listener
removeDataSourceListener(DataSourceListener) - Method in class weka.gui.beans.SubstringReplacer
  Remove a data source listener
RemoveDuplicates - Class in weka.filters.unsupervised.instance
  Removes all duplicate instances from the first batch of data it receives.
RemoveDuplicates() - Constructor for class weka.filters.unsupervised.instance.RemoveDuplicates
removeElement(Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Removes the first (lowest-indexed) occurrence of the argument from this list.
removeElementAt(int) - Method in class weka.core.FastVector
  Deprecated.
  Deletes an element from this vector.
removeExplorerProps(String) - Static method in class weka.core.WekaPackageManager
  Remove any ExplorerDefaults properties specified in the supplied package
removeFilterNameTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
RemoveFolds - Class in weka.filters.unsupervised.instance
  This filter takes a dataset and outputs a specified fold for cross validation.
RemoveFolds() - Constructor for class weka.filters.unsupervised.instance.RemoveFolds
RemoveFrequentValues - Class in weka.filters.unsupervised.instance
  Determines which values (frequent or infrequent ones) of an (nominal) attribute are retained and filters the instances accordingly.
RemoveFrequentValues() - Constructor for class weka.filters.unsupervised.instance.RemoveFrequentValues
removeFromDisabledList(List<String>) - Static method in class weka.gui.beans.PluginManager
  Remove the supplied list of fully qualified class names to the disabled list
removeFromDisabledList(String) - Static method in class weka.gui.beans.PluginManager
  Remove the supplied fully qualified class name from the list of disabled plugins
removeFromPluginBeanProps(File) - Static method in class weka.gui.beans.BeansProperties
removeFromPluginBeanProps(File) - Static method in class weka.gui.beans.KnowledgeFlowApp
  Remove a plugin bean props file
removeGraphListener(GraphListener) - Method in class weka.gui.beans.Associator
  Remove a graph listener
removeGraphListener(GraphListener) - Method in class weka.gui.beans.Classifier
  Remove a graph listener
removeGraphListener(GraphListener) - Method in class weka.gui.beans.Clusterer
  Remove a graph listener
removeHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.ConnectionPanel
  removes the given listener from the list of listeners.
removeHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.QueryPanel
  removes the given listener from the list of listeners.
removeHistoryChangedListener(HistoryChangedListener) - Method in class weka.gui.sql.SqlViewer
  removes the given listener from the list of listeners.
removeIgnored(String) - Method in class weka.core.xml.PropertyHandler
  removes the given display name from the ignore list.
removeIgnored(Class<?>, String) - Method in class weka.core.xml.PropertyHandler
  removes the given display name from the ignore list of the class.
removeImageListener(ImageListener) - Method in class weka.gui.beans.DataVisualizer
  Remove an image listener
removeImageListener(ImageListener) - Method in class weka.gui.beans.ModelPerformanceChart
  Remove an image listener
removeIncrementalClassifierListener(IncrementalClassifierListener) - Method in class weka.gui.beans.Classifier
  Remove an incremental classifier listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.AbstractDataSource
  Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.Appender
  Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.ClassAssigner
removeInstanceListener(InstanceListener) - Method in interface weka.gui.beans.DataSource
  Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.Filter
  Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.FlowByExpression
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.Join
  Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.Loader
  Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.PredictionAppender
  Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.Sorter
  Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.SubstringLabeler
  Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.beans.SubstringReplacer
  Remove an instance listener
removeInstanceListener(InstanceListener) - Method in class weka.gui.streams.InstanceJoiner
removeInstanceListener(InstanceListener) - Method in class weka.gui.streams.InstanceLoader
removeInstanceListener(InstanceListener) - Method in interface weka.gui.streams.InstanceProducer
removeKeyword(String) - Method in class weka.gui.scripting.SyntaxDocument
  Removes an association between a keyword with a particular formatting style.
removeLast() - Method in class weka.classifiers.rules.RuleStats
  Remove the last rule in the ruleset as well as it's stats.
removeLayoutCompleteEventListener(LayoutCompleteEventListener) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
  Method to remove a LayoutCompleteEventListener.
removeLayoutCompleteEventListener(LayoutCompleteEventListener) - Method in interface weka.gui.graphvisualizer.LayoutEngine
  This method removes a LayoutCompleteEventListener from the LayoutEngine.
removeLinkAt(int) - Method in class weka.attributeSelection.BestFirst.LinkedList2
  removes an element (Link) at a specific index from the list.
RemoveMisclassified - Class in weka.filters.unsupervised.instance
  A filter that removes instances which are incorrectly classified.
RemoveMisclassified() - Constructor for class weka.filters.unsupervised.instance.RemoveMisclassified
removeNotify() - Method in class weka.gui.beans.FileEnvironmentField
removeNotify() - Method in class weka.gui.PropertyPanel
  Cleans up when the panel is destroyed.
removeOkListener(ActionListener) - Method in class weka.gui.GenericObjectEditor.GOEPanel
  This is used to remove an action listener from the ok button.
removeOldClassTipText() - Method in class weka.filters.supervised.attribute.AddClassification
  Returns the tip text for this property.
RemovePercentage - Class in weka.filters.unsupervised.instance
  A filter that removes a given percentage of a dataset.
RemovePercentage() - Constructor for class weka.filters.unsupervised.instance.RemovePercentage
removePlugin(String, String) - Static method in class weka.gui.beans.PluginManager
  Remove a plugin.
removePlugins(String, List<String>) - Static method in class weka.gui.beans.PluginManager
  Remove plugins of a specific type.
removePreBuiltClassifier(Classifier) - Method in class weka.classifiers.meta.Vote
  Remove a prebuilt classifier from the list to use in the ensemble
removePropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.AbstractDataSource
  Remove a property change listener from this bean
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.AssociatorCustomizer
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.BeanVisual
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassAssignerCustomizer
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassifierCustomizer
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClassValuePickerCustomizer
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.ClustererCustomizer
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
  Remove a property change listener
removePropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.DataVisualizer
  Remove a property change listener from this bean
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.EnvironmentField
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.FilterCustomizer
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.LoaderCustomizer
  Remove a property change listener
removePropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.ModelPerformanceChart
  Remove a property change listener from this bean
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.PredictionAppenderCustomizer
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.SaverCustomizer
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.StripChartCustomizer
  Remove a property change listener
removePropertyChangeListener(String, PropertyChangeListener) - Method in class weka.gui.beans.TextViewer
  Remove a property change listener from this bean
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.beans.TrainTestSplitMakerCustomizer
  Remove a property change listener
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.CostMatrixEditor
  Removes an object from the list of those that wish to be informed when the cost matrix changes.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SetupPanel
  Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.experiment.SimpleSetupPanel
  Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.explorer.PreprocessPanel
  Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.GenericArrayEditor
  Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.GenericObjectEditor
  Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.PropertySheetPanel
  Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.SetInstancesPanel
  Removes a PropertyChangeListener.
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.SimpleDateFormatEditor
  Removes an object from the list of those that wish to be informed when the date format changes.
removePropertyChangeListenersSubFlow(PropertyChangeListener) - Method in class weka.gui.beans.MetaBean
removeQueryExecuteListener(QueryExecuteListener) - Method in class weka.gui.sql.QueryPanel
  removes the given listener from the list of listeners.
removeQueryExecuteListener(QueryExecuteListener) - Method in class weka.gui.sql.SqlViewer
  removes the given listener from the list of listeners.
RemoveRange - Class in weka.filters.unsupervised.instance
  A filter that removes a given range of instances of a dataset.
RemoveRange() - Constructor for class weka.filters.unsupervised.instance.RemoveRange
removeResult(String) - Method in class weka.gui.ResultHistoryPanel
  Removes one of the result buffers from the history.
removeResultChangedListener(ResultChangedListener) - Method in class weka.gui.sql.ResultPanel
  removes the given listener from the list of listeners
removeResultChangedListener(ResultChangedListener) - Method in class weka.gui.sql.SqlViewer
  removes the given listener from the list of listeners.
removeScriptFinishedListener(ScriptExecutionListener) - Method in class weka.gui.scripting.Script
  Removes the given listener from its internal list.
removeSubstring(String, String) - Static method in class weka.core.Utils
  Removes all occurrences of a string from another string.
removeTab(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
removeTableModelListener(TableModelListener) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  removes a listener from the list that is notified each time a change to the data model occurs
removeTableModelListener(TableModelListener) - Method in class weka.gui.arffviewer.ArffTableModel
  removes a listener from the list that is notified each time a change to the data model occurs
removeTableModelListener(TableModelListener) - Method in class weka.gui.sql.ResultSetTableModel
  removes a listener from the list that is notified each time a change to the data model occurs.
removeTestSetListener(TestSetListener) - Method in class weka.gui.beans.AbstractTestSetProducer
  Remove a listener for test sets
removeTestSetListener(TestSetListener) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Remove a test set listener
removeTestSetListener(TestSetListener) - Method in class weka.gui.beans.ClassAssigner
removeTestSetListener(TestSetListener) - Method in class weka.gui.beans.Filter
  Remove a test set listener
removeTestSetListener(TestSetListener) - Method in class weka.gui.beans.PredictionAppender
  Remove a test set listener
removeTestSetListener(TestSetListener) - Method in interface weka.gui.beans.TestSetProducer
  Remove a listener for test set events
removeTextListener(TextListener) - Method in class weka.gui.beans.Associator
  Remove a text listener
removeTextListener(TextListener) - Method in class weka.gui.beans.Classifier
  Remove a text listener
removeTextListener(TextListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Remove a text listener
removeTextListener(TextListener) - Method in class weka.gui.beans.Clusterer
  Remove a text listener
removeTextListener(TextListener) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
  Remove a text listener
removeTextListener(TextListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Remove a text listener
removeTextListener(TextListener) - Method in class weka.gui.beans.TextViewer
  Remove a text listener
removeThresholdDataListener(ThresholdDataListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Remove a Threshold data listener
removeTitleUpdatedListener(TitleUpdatedListener) - Method in class weka.gui.scripting.ScriptingPanel
  Removes the listener from the internal list.
removeTrainingInstanceFromMouseLocation(int, int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Removes a single training instance from our dataset, if there is one that is close enough to the specified mouse location.
removeTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Remove a training set listener
removeTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.AbstractTrainingSetProducer
  Remove a training set listener
removeTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.ClassAssigner
removeTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.Filter
  Remove a training set listener
removeTrainingSetListener(TrainingSetListener) - Method in class weka.gui.beans.PredictionAppender
  Remove a training set listener
removeTrainingSetListener(TrainingSetListener) - Method in interface weka.gui.beans.TrainingSetProducer
  Remove a training set listener
RemoveType - Class in weka.filters.unsupervised.attribute
  Removes attributes of a given type.
RemoveType() - Constructor for class weka.filters.unsupervised.attribute.RemoveType
removeUnusedTipText() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Returns the tip text for this property.
RemoveUseless - Class in weka.filters.unsupervised.attribute
  This filter removes attributes that do not vary at all or that vary too much.
RemoveUseless() - Constructor for class weka.filters.unsupervised.attribute.RemoveUseless
removeVariable(String) - Method in class weka.core.Environment
  Remove a named variable from the map.
removeVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.AbstractDataSource
  Remove a vetoable change listener from this bean
removeVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.CostBenefitAnalysis
removeVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.DataVisualizer
  Remove a vetoable change listener from this bean
removeVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.GraphViewer
  Remove a vetoable change listener from this bean
removeVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.ModelPerformanceChart
  Remove a vetoable change listener from this bean
removeVetoableChangeListener(String, VetoableChangeListener) - Method in class weka.gui.beans.TextViewer
  Remove a vetoable change listener from this bean
removeVisualizableErrorListener(VisualizableErrorListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Remove a visualizable error listener
RemoveWithValues - Class in weka.filters.unsupervised.instance
  Filters instances according to the value of an attribute.
RemoveWithValues() - Constructor for class weka.filters.unsupervised.instance.RemoveWithValues
  Default constructor
renameAttribute(int, String) - Method in class weka.core.Instances
  Renames an attribute.
renameAttribute(Attribute, String) - Method in class weka.core.Instances
  Renames an attribute.
RenameAttribute - Class in weka.filters.unsupervised.attribute
  This filter is used for renaming attribute names.
  Regular expressions can be used in the matching and replacing.
  See Javadoc of java.util.regex.Pattern class for more information:
  http://java.sun.com/javase/6/docs/api/java/util/regex/Pattern.html

  Valid options are:

RenameAttribute() - Constructor for class weka.filters.unsupervised.attribute.RenameAttribute
renameAttribute() - Method in class weka.gui.arffviewer.ArffPanel
  renames the current attribute
renameAttribute() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  renames the current selected Attribute
renameAttributeAt(int, String) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  renames the attribute at the given col index
renameAttributeAt(int, String) - Method in class weka.gui.arffviewer.ArffTableModel
  renames the attribute at the given col index
renameAttributeValue(int, int, String) - Method in class weka.core.Instances
  Renames the value of a nominal (or string) attribute value.
renameAttributeValue(Attribute, String, String) - Method in class weka.core.Instances
  Renames the value of a nominal (or string) attribute value.
renameNodeValue(int, String, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  change the name of a value of a node
RenameNominalValues - Class in weka.filters.unsupervised.attribute
  Renames the values of nominal attributes.
RenameNominalValues() - Constructor for class weka.filters.unsupervised.attribute.RenameNominalValues
rendererName() - Method in interface weka.gui.beans.OffscreenChartRenderer
  The name of this off screen renderer
rendererName() - Method in class weka.gui.beans.WekaOffscreenChartRenderer
  The name of this off screen renderer
renderHistogram(int, int, List<Instances>, String, List<String>) - Method in interface weka.gui.beans.OffscreenChartRenderer
  Render histogram(s) (numeric attribute) or bar chart(s) (nominal attribute).
renderHistogram(int, int, List<Instances>, String, List<String>) - Method in class weka.gui.beans.WekaOffscreenChartRenderer
  Render histogram(s) (numeric attribute) or pie chart (nominal attribute).
renderXYLineChart(int, int, List<Instances>, String, String, List<String>) - Method in interface weka.gui.beans.OffscreenChartRenderer
  Render an XY line chart
renderXYLineChart(int, int, List<Instances>, String, String, List<String>) - Method in class weka.gui.beans.WekaOffscreenChartRenderer
  Render an XY line chart
renderXYScatterPlot(int, int, List<Instances>, String, String, List<String>) - Method in interface weka.gui.beans.OffscreenChartRenderer
  Render an XY scatter plot
renderXYScatterPlot(int, int, List<Instances>, String, String, List<String>) - Method in class weka.gui.beans.WekaOffscreenChartRenderer
  Render an XY scatter plot
Reorder - Class in weka.filters.unsupervised.attribute
  A filter that generates output with a new order of the attributes.
Reorder() - Constructor for class weka.filters.unsupervised.attribute.Reorder
RepeatedHillClimber - Class in weka.classifiers.bayes.net.search.global
  This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and return the best structure of the various runs.
RepeatedHillClimber() - Constructor for class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
RepeatedHillClimber - Class in weka.classifiers.bayes.net.search.local
  This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and return the best structure of the various runs.
RepeatedHillClimber() - Constructor for class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
replaceAllBy(Stack<T>) - Method in class weka.core.neighboursearch.covertrees.Stack
  Replace all elements in the stack with the elements of another given stack.
replaceAllTipText() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Returns the tip text for this property.
replaceAttributeAt(Attribute, int) - Method in class weka.core.Instances
  Replaces the attribute at the given position (0 to numAttributes()) with the given attribute and sets all its values to be missing.
replaceMissingValues(double[]) - Method in class weka.core.BinarySparseInstance
  Does nothing, since we don't support missing values.
replaceMissingValues(double[]) - Method in class weka.core.DenseInstance
  Replaces all missing values in the instance with the values contained in the given array.
replaceMissingValues(double[]) - Method in interface weka.core.Instance
  Replaces all missing values in the instance with the values contained in the given array.
replaceMissingValues(double[]) - Method in class weka.core.SparseInstance
  Replaces all missing values in the instance with the values contained in the given array.
ReplaceMissingValues - Class in weka.filters.unsupervised.attribute
  Replaces all missing values for nominal and numeric attributes in a dataset with the modes and means from the training data.
ReplaceMissingValues() - Constructor for class weka.filters.unsupervised.attribute.ReplaceMissingValues
replaceMissingValuesTipText() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Returns the tip text for this property
replaceMissingWithMAX_VALUE(double[]) - Static method in class weka.core.Utils
  Replaces all "missing values" in the given array of double values with MAX_VALUE.
ReplaceMissingWithUserConstant - Class in weka.filters.unsupervised.attribute
  Replaces all missing values for nominal, string, numeric and date attributes in the dataset with user-supplied constant values.
ReplaceMissingWithUserConstant() - Constructor for class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
replaceSubstring(String, String, String) - Static method in class weka.core.Utils
  Replaces with a new string, all occurrences of a string from another string.
replaceTipText() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Returns the tip text for this property.
replot() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Quickly replot the display using cached probability estimates
RepositoryIndexGenerator - Class in weka.core
  Class for generating html index files and supporting text files for a Weka package meta data repository.
RepositoryIndexGenerator() - Constructor for class weka.core.RepositoryIndexGenerator
repoZipArchiveSize() - Static method in class weka.core.WekaPackageManager
  Retrieves the size (in KB) of the repository zip archive stored on the server.
representCopiesUsingWeightsTipText() - Method in class weka.classifiers.meta.Bagging
  Returns the tip text for this property
REPTree - Class in weka.classifiers.trees
  Fast decision tree learner.
REPTree() - Constructor for class weka.classifiers.trees.REPTree
resample(Random) - Method in class weka.core.Instances
  Creates a new dataset of the same size using random sampling with replacement.
Resample - Class in weka.filters.supervised.instance
  Produces a random subsample of a dataset using either sampling with replacement or without replacement.
  The original dataset must fit entirely in memory.
Resample() - Constructor for class weka.filters.supervised.instance.Resample
Resample - Class in weka.filters.unsupervised.instance
  Produces a random subsample of a dataset using either sampling with replacement or without replacement.
Resample() - Constructor for class weka.filters.unsupervised.instance.Resample
resampleWithWeights(Random) - Method in class weka.core.Instances
  Creates a new dataset of the same size using random sampling with replacement according to the current instance weights.
resampleWithWeights(Random, boolean[]) - Method in class weka.core.Instances
  Creates a new dataset of the same size using random sampling with replacement according to the current instance weights.
resampleWithWeights(Random, boolean) - Method in class weka.core.Instances
  Creates a new dataset of the same size using random sampling with replacement according to the current instance weights.
resampleWithWeights(Random, boolean[], boolean) - Method in class weka.core.Instances
  Creates a new dataset of the same size using random sampling with replacement according to the current instance weights.
resampleWithWeights(Random, double[]) - Method in class weka.core.Instances
  Creates a new dataset of the same size using random sampling with replacement according to the given weight vector.
resampleWithWeights(Random, double[], boolean[]) - Method in class weka.core.Instances
  Creates a new dataset of the same size using random sampling with replacement according to the given weight vector.
resampleWithWeights(Random, double[], boolean[], boolean) - Method in class weka.core.Instances
  Creates a new dataset of the same size using random sampling with replacement according to the given weight vector.
resampleWithWeights(Random, boolean[]) - Method in class weka.estimators.UnivariateMixtureEstimator
  Creates a new dataset of the same size using random sampling with replacement according to the given weight vector.
ReservoirSample - Class in weka.filters.unsupervised.instance
  Produces a random subsample of a dataset using the reservoir sampling Algorithm "R" by Vitter.
ReservoirSample() - Constructor for class weka.filters.unsupervised.instance.ReservoirSample
reset() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Reset the classifier.
reset() - Method in class weka.classifiers.functions.neural.NeuralConnection
  Call this to reset the unit for another run.
reset() - Method in class weka.classifiers.functions.neural.NeuralNode
  Call this to reset the value and error for this unit, ready for the next run.
reset() - Method in class weka.classifiers.functions.SGD
  Reset the classifier.
reset() - Method in class weka.classifiers.functions.SGDText
  Reset the classifier.
reset() - Method in class weka.core.converters.AbstractFileLoader
  Resets the loader ready to read a new data set
reset() - Method in class weka.core.converters.AbstractLoader
  Default implementation sets retrieval mode to NONE
reset() - Method in class weka.core.converters.ArffLoader
  Resets the Loader ready to read a new data set or the same data set again.
reset() - Method in class weka.core.converters.C45Loader
  Resets the Loader ready to read a new data set or the same data set again.
reset() - Method in class weka.core.converters.ConverterUtils.DataSource
  resets the loader.
reset() - Method in class weka.core.converters.CSVLoader
reset() - Method in class weka.core.converters.DatabaseLoader
  Resets the Loader ready to read a new data set using set options
reset() - Method in class weka.core.converters.JSONLoader
  Resets the Loader ready to read a new data set.
reset() - Method in class weka.core.converters.LibSVMLoader
  Resets the Loader ready to read a new data set.
reset() - Method in interface weka.core.converters.Loader
  Resets the Loader object ready to begin loading.
reset() - Method in class weka.core.converters.MatlabLoader
  Resets the Loader ready to read a new data set.
reset() - Method in class weka.core.converters.SerializedInstancesLoader
  Resets the Loader ready to read a new data set
reset() - Method in class weka.core.converters.SVMLightLoader
  Resets the Loader ready to read a new data set.
reset() - Method in class weka.core.converters.TextDirectoryLoader
  Resets the loader ready to read a new data set
reset() - Method in class weka.core.converters.XRFFLoader
  Resets the Loader ready to read a new data set
reset() - Method in class weka.core.neighboursearch.PerformanceStats
  Resets all internal fields/counters.
reset() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Resets all internal fields/counters.
resetDistribution(Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
  Sets distribution associated with model.
resetDistribution(Instances) - Method in class weka.classifiers.trees.j48.C45Split
  Sets distribution associated with model.
resetDistribution(Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Sets distribution associated with model.
resetFileFilters() - Method in class weka.gui.beans.FileEnvironmentField
  Resets the list of choosable file filters.
resetOptions() - Method in class weka.associations.Apriori
  Resets the options to the default values.
resetOptions() - Method in class weka.associations.FPGrowth
  Reset all options to their default values.
resetOptions() - Method in class weka.core.converters.AbstractFileSaver
  resets the options
resetOptions() - Method in class weka.core.converters.AbstractSaver
  resets the options
resetOptions() - Method in class weka.core.converters.ArffSaver
  Resets the Saver
resetOptions() - Method in class weka.core.converters.C45Saver
  Resets the Saver
resetOptions() - Method in class weka.core.converters.CSVSaver
  Resets the Saver.
resetOptions() - Method in class weka.core.converters.DatabaseLoader
  Resets the Loader to the settings in either the default DatabaseUtils.props or any property file that the user has specified via setCustomPropsFile().
resetOptions() - Method in class weka.core.converters.DatabaseSaver
  Resets the Saver ready to save a new data set.
resetOptions() - Method in class weka.core.converters.JSONSaver
  Resets the Saver.
resetOptions() - Method in class weka.core.converters.LibSVMSaver
  Resets the Saver
resetOptions() - Method in class weka.core.converters.MatlabSaver
  Resets the Saver.
resetOptions() - Method in class weka.core.converters.SerializedInstancesSaver
  Resets the Saver.
resetOptions() - Method in class weka.core.converters.SVMLightSaver
  Resets the Saver.
resetOptions() - Method in class weka.core.converters.XRFFSaver
  Resets the Saver
resetStructure() - Method in class weka.core.converters.AbstractSaver
  Resets the structure (header information of the instances)
resetStructure() - Method in class weka.core.converters.DatabaseLoader
  Resets the structure of instances
resetTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
resetWriter() - Method in class weka.core.converters.AbstractFileSaver
  Sets the writer to null.
resetWriter() - Method in class weka.core.converters.SerializedInstancesSaver
  Resets the writer, setting writer and objectstream to null.
ResidualModelSelection - Class in weka.classifiers.trees.lmt
  Helper class for logistic model trees (weka.classifiers.trees.lmt.LMT) to implement the splitting criterion based on residuals.
ResidualModelSelection(int) - Constructor for class weka.classifiers.trees.lmt.ResidualModelSelection
  Constructor to create ResidualModelSelection object.
ResidualSplit - Class in weka.classifiers.trees.lmt
  Helper class for logistic model trees (weka.classifiers.trees.lmt.LMT) to implement the splitting criterion based on residuals of the LogitBoost algorithm.
ResidualSplit(int) - Constructor for class weka.classifiers.trees.lmt.ResidualSplit
  Creates a split object
restoreBeans(int, int) - Method in class weka.gui.beans.MetaBean
restoreWeights() - Method in class weka.classifiers.functions.neural.NeuralConnection
  Call this to have the connection restore from the saved weights.
restoreWeights() - Method in class weka.classifiers.functions.neural.NeuralNode
  Call this to have the connection restore from the saved weights.
restoreWindows() - Method in class weka.gui.Main
  restores all windows.
resultChanged(ResultChangedEvent) - Method in interface weka.gui.sql.event.ResultChangedListener
  This method gets called when a query has been executed.
resultChanged(ResultChangedEvent) - Method in class weka.gui.sql.SqlViewer
  This method gets called when a query has been executed.
resultChanged(ResultChangedEvent) - Method in class weka.gui.sql.SqlViewerDialog
  This method gets called when a query has been executed.
ResultChangedEvent - Class in weka.gui.sql.event
  An event that is generated when a different Result is activated in the ResultPanel.
ResultChangedEvent(Object, String, String, String, String) - Constructor for class weka.gui.sql.event.ResultChangedEvent
  constructs the event
ResultChangedListener - Interface in weka.gui.sql.event
  A listener that is notified if another Result is activated in the ResultPanel.
RESULTFEATURE - Enum in weka.core.pmml.jaxbbindings
  Java class for RESULT-FEATURE.
ResultField - Class in weka.core.pmml.jaxbbindings
  Java class for ResultField element declaration.
ResultField() - Constructor for class weka.core.pmml.jaxbbindings.ResultField
ResultHistoryPanel - Class in weka.gui
  A component that accepts named stringbuffers and displays the name in a list box.
ResultHistoryPanel(JTextComponent) - Constructor for class weka.gui.ResultHistoryPanel
  Create the result history object
ResultHistoryPanel.RKeyAdapter - Class in weka.gui
  Extension of KeyAdapter that implements Serializable.
ResultHistoryPanel.RKeyAdapter() - Constructor for class weka.gui.ResultHistoryPanel.RKeyAdapter
ResultHistoryPanel.RMouseAdapter - Class in weka.gui
  Extension of MouseAdapter that implements Serializable.
ResultHistoryPanel.RMouseAdapter() - Constructor for class weka.gui.ResultHistoryPanel.RMouseAdapter
ResultListener - Interface in weka.experiment
  Interface for objects able to listen for results obtained by a ResultProducer
ResultMatrix - Class in weka.experiment
  This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrix() - Constructor for class weka.experiment.ResultMatrix
  initializes the matrix as 1x1 matrix.
ResultMatrix(int, int) - Constructor for class weka.experiment.ResultMatrix
  initializes the matrix with the given dimensions.
ResultMatrix(ResultMatrix) - Constructor for class weka.experiment.ResultMatrix
  initializes the matrix with the values from the given matrix.
ResultMatrixCSV - Class in weka.experiment
  Generates the matrix in CSV ('comma-separated values') format.
ResultMatrixCSV() - Constructor for class weka.experiment.ResultMatrixCSV
  initializes the matrix as 1x1 matrix.
ResultMatrixCSV(int, int) - Constructor for class weka.experiment.ResultMatrixCSV
  initializes the matrix with the given dimensions.
ResultMatrixCSV(ResultMatrix) - Constructor for class weka.experiment.ResultMatrixCSV
  initializes the matrix with the values from the given matrix.
ResultMatrixGnuPlot - Class in weka.experiment
  Generates output for a data and script file for GnuPlot.
ResultMatrixGnuPlot() - Constructor for class weka.experiment.ResultMatrixGnuPlot
  initializes the matrix as 1x1 matrix.
ResultMatrixGnuPlot(int, int) - Constructor for class weka.experiment.ResultMatrixGnuPlot
  initializes the matrix with the given dimensions.
ResultMatrixGnuPlot(ResultMatrix) - Constructor for class weka.experiment.ResultMatrixGnuPlot
  initializes the matrix with the values from the given matrix.
ResultMatrixHTML - Class in weka.experiment
  Generates the matrix output as HTML.
ResultMatrixHTML() - Constructor for class weka.experiment.ResultMatrixHTML
  initializes the matrix as 1x1 matrix.
ResultMatrixHTML(int, int) - Constructor for class weka.experiment.ResultMatrixHTML
  initializes the matrix with the given dimensions.
ResultMatrixHTML(ResultMatrix) - Constructor for class weka.experiment.ResultMatrixHTML
  initializes the matrix with the values from the given matrix.
ResultMatrixLatex - Class in weka.experiment
  Generates the matrix output in LaTeX-syntax.
ResultMatrixLatex() - Constructor for class weka.experiment.ResultMatrixLatex
  initializes the matrix as 1x1 matrix.
ResultMatrixLatex(int, int) - Constructor for class weka.experiment.ResultMatrixLatex
  initializes the matrix with the given dimensions.
ResultMatrixLatex(ResultMatrix) - Constructor for class weka.experiment.ResultMatrixLatex
  initializes the matrix with the values from the given matrix.
ResultMatrixPlainText - Class in weka.experiment
  Generates the output as plain text (for fixed width fonts).
ResultMatrixPlainText() - Constructor for class weka.experiment.ResultMatrixPlainText
  initializes the matrix as 1x1 matrix.
ResultMatrixPlainText(int, int) - Constructor for class weka.experiment.ResultMatrixPlainText
  initializes the matrix with the given dimensions.
ResultMatrixPlainText(ResultMatrix) - Constructor for class weka.experiment.ResultMatrixPlainText
  initializes the matrix with the values from the given matrix.
ResultMatrixSignificance - Class in weka.experiment
  Only outputs the significance indicators.
ResultMatrixSignificance() - Constructor for class weka.experiment.ResultMatrixSignificance
  initializes the matrix as 1x1 matrix.
ResultMatrixSignificance(int, int) - Constructor for class weka.experiment.ResultMatrixSignificance
  initializes the matrix with the given dimensions.
ResultMatrixSignificance(ResultMatrix) - Constructor for class weka.experiment.ResultMatrixSignificance
  initializes the matrix with the values from the given matrix.
ResultPanel - Class in weka.gui.sql
  Represents a panel for displaying the results of a query in table format.
ResultPanel(JFrame) - Constructor for class weka.gui.sql.ResultPanel
  initializes the panel
ResultProducer - Interface in weka.experiment
  This interface defines the methods required for an object that produces results for different randomizations of a dataset.
resultProducerTipText() - Method in class weka.experiment.AveragingResultProducer
  Returns the tip text for this property
resultProducerTipText() - Method in class weka.experiment.DatabaseResultProducer
  Returns the tip text for this property
resultProducerTipText() - Method in class weka.experiment.LearningRateResultProducer
  Returns the tip text for this property
ResultSetHelper - Class in weka.gui.sql
  Represents an extended JTable, containing a table model based on a ResultSet and the corresponding query.
ResultSetHelper(ResultSet) - Constructor for class weka.gui.sql.ResultSetHelper
  initializes the helper, with unlimited number of rows.
ResultSetHelper(ResultSet, int) - Constructor for class weka.gui.sql.ResultSetHelper
  initializes the helper, with the given maximum number of rows (less than 1 means unlimited).
resultsetKey() - Method in class weka.experiment.PairedTTester
  Creates a key that maps resultset numbers to their descriptions.
resultsetKey() - Method in interface weka.experiment.Tester
  Creates a key that maps resultset numbers to their descriptions.
ResultSetTable - Class in weka.gui.sql
  Represents an extended JTable, containing a table model based on a ResultSet and the corresponding query.
ResultSetTable(String, String, String, String, ResultSetTableModel) - Constructor for class weka.gui.sql.ResultSetTable
  initializes the table
ResultSetTableCellRenderer - Class in weka.gui.sql
  Handles the background colors for missing values differently than the DefaultTableCellRenderer.
ResultSetTableCellRenderer() - Constructor for class weka.gui.sql.ResultSetTableCellRenderer
  initializes the Renderer with a standard color
ResultSetTableCellRenderer(Color, Color) - Constructor for class weka.gui.sql.ResultSetTableCellRenderer
  initializes the Renderer with the given colors
ResultSetTableModel - Class in weka.gui.sql
  The model for an SQL ResultSet.
ResultSetTableModel(ResultSet) - Constructor for class weka.gui.sql.ResultSetTableModel
  initializes the model, retrieves all rows.
ResultSetTableModel(ResultSet, int) - Constructor for class weka.gui.sql.ResultSetTableModel
  initializes the model, retrieves only the given amount of rows (0 means all).
ResultsPanel - Class in weka.gui.experiment
  This panel controls simple analysis of experimental results.
ResultsPanel() - Constructor for class weka.gui.experiment.ResultsPanel
  Creates the results panel with no initial experiment.
retainAll(Collection<?>) - Method in class weka.core.Trie
  Retains only the elements in this collection that are contained in the specified collection
retainStringValsTipText() - Method in class weka.core.converters.ArffLoader
  Tool tip text for this property
retrieveDir() - Method in class weka.core.converters.AbstractFileSaver
  Gets the directory
retrieveDir() - Method in class weka.core.converters.AbstractSaver
  Default implementation throws an IOException.
retrieveDir() - Method in interface weka.core.converters.Saver
  Gets the driectory of the output file This method is used in the KnowledgeFlow GUI.
retrieveFile() - Method in class weka.core.converters.AbstractFileLoader
  get the File specified as the source
retrieveFile() - Method in class weka.core.converters.AbstractFileSaver
  Gets the destination file.
retrieveFile() - Method in class weka.core.converters.ArffLoader
  get the File specified as the source
retrieveFile() - Method in interface weka.core.converters.FileSourcedConverter
  Return the current source file/ destination file
retrieveHeadlessEvents() - Method in class weka.gui.beans.CostBenefitAnalysis
  Get the list of events processed in headless mode.
retrieveHeadlessEvents() - Method in class weka.gui.beans.DataVisualizer
  Get the list of events processed in headless mode.
retrieveHeadlessEvents() - Method in interface weka.gui.beans.HeadlessEventCollector
  Get the list of events processed in headless mode.
retrieveHeadlessEvents() - Method in class weka.gui.beans.ModelPerformanceChart
  Get the list of events processed in headless mode.
retrieveHeadlessEvents() - Method in class weka.gui.beans.TextViewer
  Get the list of events processed in headless mode.
retrieveInstances() - Method in class weka.experiment.InstanceQuery
  Makes a database query using the query set through the -Q option to convert a table into a set of instances
retrieveInstances(InstanceQueryAdapter, ResultSet) - Static method in class weka.experiment.InstanceQuery
retrieveInstances(String) - Method in class weka.experiment.InstanceQuery
  Makes a database query to convert a table into a set of instances
retrieveURL() - Method in class weka.core.converters.ArffLoader
  Return the current url
retrieveURL() - Method in class weka.core.converters.JSONLoader
  Return the current url.
retrieveURL() - Method in class weka.core.converters.LibSVMLoader
  Return the current url.
retrieveURL() - Method in class weka.core.converters.MatlabLoader
  Return the current url.
retrieveURL() - Method in class weka.core.converters.SVMLightLoader
  Return the current url.
retrieveURL() - Method in interface weka.core.converters.URLSourcedLoader
  Return the current url
retrieveURL() - Method in class weka.core.converters.XRFFLoader
  Return the current url
returnLeaves(ArrayList<RuleNode>[]) - Method in class weka.classifiers.trees.m5.RuleNode
  Return a list containing all the leaves in the tree
rev() - Method in class weka.core.matrix.DoubleVector
  Returns the reverse vector
REVERSED - Static variable in interface weka.gui.graphvisualizer.GraphConstants
  Types of Edges
reversedArcs(BayesNet) - Method in class weka.classifiers.bayes.net.BIFReader
  Count nr of reversed arcs from other network compared to current network
revertNewLines(String) - Static method in class weka.core.Utils
  Reverts \r and \n in a string into carriage returns and new lines.
REVISION - Static variable in class weka.core.Version
  the revision
RevisionHandler - Interface in weka.core
  For classes that should return their source control revision.
RevisionUtils - Class in weka.core
  Contains utility functions for handling revisions.
RevisionUtils() - Constructor for class weka.core.RevisionUtils
RevisionUtils.Type - Enum in weka.core
  Enumeration of source control types.
ridgeTipText() - Method in class weka.classifiers.functions.LinearRegression
  Returns the tip text for this property
ridgeTipText() - Method in class weka.classifiers.functions.Logistic
  Returns the tip text for this property
RIGHT_PARENTHESES - Variable in class weka.experiment.ResultMatrix
  the right parentheses for enumerating cols/rows.
rightNode() - Method in class weka.classifiers.trees.m5.RuleNode
  Get the right child of this node
rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
  Prints the condition satisfied by instances in a subset.
rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.C45Split
  Prints the condition satisfied by instances in a subset.
rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Prints left side of condition satisfied by instances in subset index.
rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Does nothing because no condition has to be satisfied.
rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.NBTreeSplit
  Prints the condition satisfied by instances in a subset.
rightSide(int, Instances) - Method in class weka.classifiers.trees.j48.NoSplit
  Does nothing because no condition has to be satisfied.
rightSide(int, Instances) - Method in class weka.classifiers.trees.lmt.ResidualSplit
  Prints the condition satisfied by instances in a subset.
RINT - Static variable in interface weka.core.mathematicalexpression.sym
RINT - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
rmCoveredBySuccessives(Instances, ArrayList<Rule>, int) - Static method in class weka.classifiers.rules.RuleStats
  Static utility function to count the data covered by the rules after the given index in the given rules, and then remove them.
rnorm(int, double, double, Random) - Static method in class weka.core.matrix.Maths
  Generates a sample of a normal distribution.
ROC - Class in weka.core.pmml.jaxbbindings
  Java class for ROC element declaration.
ROC() - Constructor for class weka.core.pmml.jaxbbindings.ROC
ROCGraph - Class in weka.core.pmml.jaxbbindings
  Java class for ROCGraph element declaration.
ROCGraph() - Constructor for class weka.core.pmml.jaxbbindings.ROCGraph
ROOT_FINDER_ACCURACY - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
ROOT_FINDER_MAX_ITER - Static variable in interface weka.classifiers.lazy.kstar.KStarConstants
  How close the root finder for numeric and nominal have to get
ROOT_NODE - Static variable in class weka.core.xml.XMLOptions
  the root node.
ROOT_NODE - Static variable in class weka.core.xml.XMLSerialization
  the root node of the XML document
rootMeanPriorSquaredError() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the root mean prior squared error.
rootMeanPriorSquaredError() - Method in class weka.classifiers.Evaluation
  Returns the root mean prior squared error.
rootMeanSquaredError() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the root mean squared error.
rootMeanSquaredError() - Method in class weka.classifiers.Evaluation
  Returns the root mean squared error.
rootRelativeSquaredError() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the root relative squared error if the class is numeric.
rootRelativeSquaredError() - Method in class weka.classifiers.Evaluation
  Returns the root relative squared error if the class is numeric.
rotate(double, double, double) - Method in class weka.gui.visualize.PostscriptGraphics
rotate(double) - Method in class weka.gui.visualize.PostscriptGraphics
round(double) - Static method in class weka.core.Utils
  Rounds a double to the next nearest integer value.
roundDouble(double, int) - Static method in class weka.core.Utils
  Rounds a double to the given number of decimal places.
Row - Class in weka.core.pmml.jaxbbindings
  Java class for row element declaration.
Row() - Constructor for class weka.core.pmml.jaxbbindings.Row
rowNameWidthTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
RPAREN - Static variable in interface weka.core.mathematicalexpression.sym
RPAREN - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
RSQUARE - Static variable in interface weka.core.json.sym
Rule - Class in weka.classifiers.rules
  Abstract class of generic rule
Rule() - Constructor for class weka.classifiers.rules.Rule
Rule - Class in weka.classifiers.trees.m5
  Generates a single m5 tree or rule
Rule() - Constructor for class weka.classifiers.trees.m5.Rule
  Constructor declaration
RULEFEATURE - Enum in weka.core.pmml.jaxbbindings
  Java class for RULE-FEATURE.
RuleNode - Class in weka.classifiers.trees.m5
  Constructs a node for use in an m5 tree or rule
RuleNode(double, double, RuleNode) - Constructor for class weka.classifiers.trees.m5.RuleNode
  Creates a new `RuleNode` instance.
RuleSelectionMethod - Class in weka.core.pmml.jaxbbindings
  Java class for RuleSelectionMethod element declaration.
RuleSelectionMethod() - Constructor for class weka.core.pmml.jaxbbindings.RuleSelectionMethod
RuleSet - Class in weka.core.pmml.jaxbbindings
  Java class for RuleSet element declaration.
RuleSet() - Constructor for class weka.core.pmml.jaxbbindings.RuleSet
RuleSetModel - Class in weka.classifiers.pmml.consumer
  Class implementing import of PMML RuleSetModel.
RuleSetModel(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.RuleSetModel
  Constructor for a RuleSetModel
RuleSetModel - Class in weka.core.pmml.jaxbbindings
  Java class for RuleSetModel element declaration.
RuleSetModel() - Constructor for class weka.core.pmml.jaxbbindings.RuleSetModel
rulesMustContainTipText() - Method in class weka.associations.FPGrowth
  Returns the tip text for this property
RuleStats - Class in weka.classifiers.rules
  This class implements the statistics functions used in the propositional rule learner, from the simpler ones like count of true/false positive/negatives, filter data based on the ruleset, etc.
RuleStats() - Constructor for class weka.classifiers.rules.RuleStats
  Default constructor
RuleStats(Instances, ArrayList<Rule>) - Constructor for class weka.classifiers.rules.RuleStats
  Constructor that provides ruleset and data
run(Object, String[]) - Method in interface weka.core.CommandlineRunnable
  Execute the supplied object.
run() - Method in class weka.gui.beans.FlowRunner
  Launch all loaded KnowledgeFlow
run() - Method in class weka.gui.ReaderToTextPane
  Sit here listening for lines of input and appending them straight to the text component.
run(File, String[]) - Method in class weka.gui.scripting.Script
  Executes the script without loading it first.
run() - Method in class weka.gui.scripting.Script.ScriptThread
  Executes the script.
Run - Class in weka
  Helper class that executes Weka schemes from the command line.
Run() - Constructor for class weka.Run
Run.SchemeType - Enum in weka
RUN_FIELD_NAME - Static variable in class weka.experiment.CrossValidationResultProducer
  The name of the key field containing the run number
RUN_FIELD_NAME - Static variable in class weka.experiment.ExplicitTestsetResultProducer
  The name of the key field containing the run number.
RUN_FIELD_NAME - Static variable in class weka.experiment.RandomSplitResultProducer
  The name of the key field containing the run number
runAssociator(Associator, String[]) - Static method in class weka.associations.AbstractAssociator
  runs the associator with the given commandline options
runClassifier(Classifier, String[]) - Static method in class weka.classifiers.AbstractClassifier
  runs the classifier instance with the given options.
runClusterer(Clusterer, String[]) - Static method in class weka.clusterers.AbstractClusterer
  runs the clusterer instance with the given options.
runCommand(String) - Method in class weka.gui.SimpleCLIPanel
  Executes a simple cli command.
runDataGenerator(DataGenerator, String[]) - Static method in class weka.datagenerators.DataGenerator
  runs the datagenerator instance with the given options.
runEvaluator(ASEvaluation, String[]) - Static method in class weka.attributeSelection.ASEvaluation
  runs the evaluator with the given commandline options
runExperiment(boolean) - Method in class weka.experiment.Experiment
runExperiment() - Method in class weka.experiment.Experiment
  Runs all iterations of the experiment, continuing past errors.
runExperiment() - Method in class weka.experiment.RemoteExperiment
  Overides runExperiment in Experiment
runFileLoader(AbstractFileLoader, String[]) - Static method in class weka.core.converters.AbstractFileLoader
  runs the given loader with the provided options
runFileSaver(AbstractFileSaver, String[]) - Static method in class weka.core.converters.AbstractFileSaver
  runs the given saver with the specified options
runFilter(Filter, String[]) - Static method in class weka.filters.Filter
  runs the filter instance with the given options.
RunNumberPanel - Class in weka.gui.experiment
  This panel controls configuration of lower and upper run numbers in an experiment.
RunNumberPanel() - Constructor for class weka.gui.experiment.RunNumberPanel
  Creates the panel with no initial experiment.
RunNumberPanel(Experiment) - Constructor for class weka.gui.experiment.RunNumberPanel
  Creates the panel with the supplied initial experiment.
RunPanel - Class in weka.gui.experiment
  This panel controls the running of an experiment.
RunPanel() - Constructor for class weka.gui.experiment.RunPanel
  Creates the run panel with no initial experiment.
RunPanel(Experiment) - Constructor for class weka.gui.experiment.RunPanel
  Creates the panel with the supplied initial experiment.
runScript(Script, String[]) - Static method in class weka.gui.scripting.Script
  Runs the specified script.
runsTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
runsTipText() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
runsTipText() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
runsTipText() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
runsTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
runsTipText() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
runsTipText() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
runsTipText() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
runTokenizer(Tokenizer, String[]) - Static method in class weka.core.tokenizers.Tokenizer
  initializes the given tokenizer with the given options and runs the tokenizer over all the remaining strings in the options array.

## S

s_atLeastOnePackageUpgradeHasOccurredInThisSession - Static variable in class weka.gui.PackageManager
s_fileFormatsAvailable - Static variable in class weka.gui.beans.SerializedModelSaver
  Available file formats.
s_numericAfterDecimalPoint - Static variable in class weka.core.AbstractInstance
  Default max number of digits after the decimal point for numeric values
s_startupListeners - Static variable in class weka.gui.beans.KnowledgeFlowApp
SAMPLE_SIZE_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: Sample Size
sampleSizePercentTipText() - Method in class weka.filters.supervised.instance.Resample
  Returns the tip text for this property.
sampleSizePercentTipText() - Method in class weka.filters.unsupervised.instance.Resample
  Returns the tip text for this property
sampleSizeTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Returns the tip text for this property
sampleSizeTipText() - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Returns the tip text for this property
save(StringBuffer) - Method in class weka.gui.SaveBuffer
  Save a buffer
save() - Method in class weka.gui.scripting.Script
  Saves the file under with the current filename.
save(File, String) - Static method in class weka.gui.scripting.ScriptUtils
  Saves the content to a file.
saveAs(File) - Method in class weka.gui.scripting.Script
  Saves the file under with the given filename (and updates the internal filename).
saveBatch() - Method in class weka.gui.beans.Saver
  Saves instances in batch mode
saveBinary(File, Object, Instances) - Static method in class weka.gui.beans.SerializedModelSaver
  Save a model in binary form.
SaveBuffer - Class in weka.gui
  This class handles the saving of StringBuffers to files.
SaveBuffer(Logger, Component) - Constructor for class weka.gui.SaveBuffer
  Constructor
saveComponent() - Method in class weka.gui.visualize.PrintableComponent
  displays a save dialog for saving the panel to a file.
saveComponent() - Method in interface weka.gui.visualize.PrintableHandler
  displays a save dialog for saving the component to a file.
saveComponent() - Method in class weka.gui.visualize.PrintablePanel
  displays a save dialog for saving the panel to a file.
saveFile() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  saves the current data into a file
saveFileAs() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  saves the current data into a new file
saveInstanceDataTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
saveInstanceDataTipText() - Method in class weka.clusterers.Cobweb
  Returns the tip text for this property
saveInstancesTipText() - Method in class weka.classifiers.trees.M5P
  Returns the tip text for this property
saveInstancesToFile(AbstractFileSaver, Instances) - Method in class weka.gui.explorer.PreprocessPanel
  saves the data with the specified saver
saveKOML(File, Object, Instances) - Static method in class weka.gui.beans.SerializedModelSaver
  Save a model in KOML deep object serialized XML form.
saveLayout(File, int) - Method in class weka.gui.beans.KnowledgeFlowApp
saveLayout(OutputStream, int) - Method in class weka.gui.beans.KnowledgeFlowApp
  Save the knowledge flow into the OutputStream passed at input.
saveModel() - Method in class weka.gui.beans.Classifier
saveModel() - Method in class weka.gui.beans.Clusterer
Saver - Interface in weka.core.converters
  Interface to something that can save Instances to an output destination in some format.
Saver - Class in weka.gui.beans
  Saves data sets using weka.core.converter classes
Saver() - Constructor for class weka.gui.beans.Saver
  Contsructor
SAVER_DIALOG - Static variable in class weka.gui.ConverterFileChooser
  the saver dialog.
SaverBeanInfo - Class in weka.gui.beans
  Bean info class for the saver bean
SaverBeanInfo() - Constructor for class weka.gui.beans.SaverBeanInfo
SaverCustomizer - Class in weka.gui.beans
  GUI Customizer for the saver bean
SaverCustomizer() - Constructor for class weka.gui.beans.SaverCustomizer
  Constructor
saveSize() - Method in class weka.gui.sql.SqlViewer
  obtains the size of the panel and saves it in the history.
saveToFile(String, Object) - Static method in class weka.core.Debug
  writes the serialized object to the speicified file
saveWeights() - Method in class weka.classifiers.functions.neural.NeuralConnection
  Call this to have the connection save the current weights.
saveWeights() - Method in class weka.classifiers.functions.neural.NeuralNode
  Call this to have the connection save the current weights.
saveWorkingInstancesToFileQ() - Method in class weka.gui.explorer.PreprocessPanel
  Queries the user for a file to save instances as, then saves the instances in a background process.
saveXStream(File, Object, Instances) - Static method in class weka.gui.beans.SerializedModelSaver
  Save a model in XStream deep object serialized XML form.
scalarMultiply(double) - Method in class weka.core.AlgVector
  Computes the scalar product of this vector with a scalar
scale(int) - Method in class weka.gui.beans.BeanVisual
  Reduce this BeanVisual's icon size by the given factor
scale(double) - Method in class weka.gui.beans.BeanVisual
scale(double, double) - Method in class weka.gui.visualize.PostscriptGraphics
scaleTipText() - Method in class weka.filters.unsupervised.attribute.Normalize
  Returns the tip text for this property.
Scanner - Class in weka.core.json
  A scanner for JSON data files.
Scanner(InputStream, SymbolFactory) - Constructor for class weka.core.json.Scanner
Scanner(Reader, SymbolFactory) - Constructor for class weka.core.json.Scanner
Scanner(Reader) - Constructor for class weka.core.json.Scanner
  Creates a new scanner There is also a java.io.InputStream version of this constructor.
Scanner(InputStream) - Constructor for class weka.core.json.Scanner
  Creates a new scanner.
Scanner - Class in weka.core.mathematicalexpression
  A scanner for mathematical expressions.
Scanner(InputStream, SymbolFactory) - Constructor for class weka.core.mathematicalexpression.Scanner
Scanner(Reader) - Constructor for class weka.core.mathematicalexpression.Scanner
  Creates a new scanner There is also a java.io.InputStream version of this constructor.
Scanner(InputStream) - Constructor for class weka.core.mathematicalexpression.Scanner
  Creates a new scanner.
Scanner - Class in weka.filters.unsupervised.instance.subsetbyexpression
  A scanner for evaluating whether an Instance is to be included in a subset or not.
Scanner(InputStream, SymbolFactory) - Constructor for class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
Scanner(Reader) - Constructor for class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  Creates a new scanner There is also a java.io.InputStream version of this constructor.
Scanner(InputStream) - Constructor for class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  Creates a new scanner.
scatter(double[][], double[], double, int) - Static method in class weka.estimators.MultivariateGaussianEstimator
  Calculates the scatter matrix of a sample matrix.
ScatterPlotMatrix - Class in weka.gui.beans
  Bean that encapsulates weka.gui.visualize.MatrixPanel for displaying a scatter plot matrix.
ScatterPlotMatrix() - Constructor for class weka.gui.beans.ScatterPlotMatrix
ScatterPlotMatrixBeanInfo - Class in weka.gui.beans
  Bean info class for the scatter plot matrix bean
ScatterPlotMatrixBeanInfo() - Constructor for class weka.gui.beans.ScatterPlotMatrixBeanInfo
Scoreable - Interface in weka.classifiers.bayes.net.search.local
  Interface for allowing to score a classifier
Scorecard - Class in weka.core.pmml.jaxbbindings
  Java class for Scorecard element declaration.
Scorecard() - Constructor for class weka.core.pmml.jaxbbindings.Scorecard
ScoreDistribution - Class in weka.core.pmml.jaxbbindings
  Java class for ScoreDistribution element declaration.
ScoreDistribution() - Constructor for class weka.core.pmml.jaxbbindings.ScoreDistribution
scoreTypeTipText() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
Script - Class in weka.gui.scripting
  A simple helper class for loading, saving scripts.
Script() - Constructor for class weka.gui.scripting.Script
  Initializes the script.
Script(Document) - Constructor for class weka.gui.scripting.Script
  Initializes the script.
Script(Document, File) - Constructor for class weka.gui.scripting.Script
  Initializes the script.
Script.ScriptThread - Class in weka.gui.scripting
  The Thread for running a script.
Script.ScriptThread(Script, String[]) - Constructor for class weka.gui.scripting.Script.ScriptThread
  Initializes the thread.
ScriptExecutionEvent - Class in weka.gui.scripting.event
  Event that gets sent when a script is executed.
ScriptExecutionEvent(Script, ScriptExecutionEvent.Type) - Constructor for class weka.gui.scripting.event.ScriptExecutionEvent
  Initializes the event.
ScriptExecutionEvent(Script, ScriptExecutionEvent.Type, Object) - Constructor for class weka.gui.scripting.event.ScriptExecutionEvent
  Initializes the event.
ScriptExecutionEvent.Type - Enum in weka.gui.scripting.event
  Defines the type of event.
ScriptExecutionListener - Interface in weka.gui.scripting.event
  For classes that want to be notified about changes in the script execution.
scriptFinished(ScriptExecutionEvent) - Method in interface weka.gui.scripting.event.ScriptExecutionListener
  Gets sent when a script execution changes.
scriptFinished(ScriptExecutionEvent) - Method in class weka.gui.scripting.FileScriptingPanel
  Gets sent when a script finishes execution.
ScriptingPanel - Class in weka.gui.scripting
  Abstract ancestor for scripting panels.
ScriptingPanel() - Constructor for class weka.gui.scripting.ScriptingPanel
  Default constructor.
ScriptUtils - Class in weka.gui.scripting
  A helper class for Script related stuff.
ScriptUtils() - Constructor for class weka.gui.scripting.ScriptUtils
scrollToVisible(int, int) - Method in class weka.gui.JTableHelper
  Assumes table is contained in a JScrollPane.
scrollToVisible(JTable, int, int) - Static method in class weka.gui.JTableHelper
  Assumes table is contained in a JScrollPane.
search(ASEvaluation, Instances) - Method in class weka.attributeSelection.ASSearch
  Searches the attribute subset/ranking space.
search(ASEvaluation, Instances) - Method in class weka.attributeSelection.BestFirst
  Searches the attribute subset space by best first search
search(ASEvaluation, Instances) - Method in class weka.attributeSelection.GreedyStepwise
  Searches the attribute subset space by forward selection.
search(ASEvaluation, Instances) - Method in class weka.attributeSelection.Ranker
  Kind of a dummy search algorithm.
search(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.global.K2
  search determines the network structure/graph of the network with the K2 algorithm, restricted by its initial structure (which can be an empty graph, or a Naive Bayes graph.
search(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
search(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.local.K2
  search determines the network structure/graph of the network with the K2 algorithm, restricted by its initial structure (which can be an empty graph, or a Naive Bayes graph.
search(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
search() - Method in class weka.gui.arffviewer.ArffPanel
  searches for a string in the cells
search() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  searches for a string in the cells
search(Vector<HierarchyPropertyParser.TreeNode>, String) - Method in class weka.gui.HierarchyPropertyParser
  Helper function to search for the given target string in a given vector in which the elements' value may hopefully is equal to the target.
SearchAlgorithm - Class in weka.classifiers.bayes.net.search
  This is the base class for all search algorithms for learning Bayes networks.
SearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.SearchAlgorithm
  c'tor
searchAlgorithmTipText() - Method in class weka.classifiers.bayes.BayesNet
searchBackwardsTipText() - Method in class weka.attributeSelection.GreedyStepwise
  Returns the tip text for this property
searchFinish() - Method in class weka.core.neighboursearch.PerformanceStats
  Signals end of the nearest neighbour search.
searchFinish() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Signals end of the nearest neighbour search.
searchMethodTipText() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Returns the tip text for this property
searchPoints(int, int, boolean) - Method in class weka.gui.visualize.Plot2D
  Pops up a window displaying attribute information on any instances at a point+-plotting_point_size (in panel coordinates)
searchStart() - Method in class weka.core.neighboursearch.PerformanceStats
  Signals start of the nearest neighbour search.
searchStart() - Method in class weka.core.neighboursearch.TreePerformanceStats
  Signals start of the nearest neighbour search.
searchTerminationTipText() - Method in class weka.attributeSelection.BestFirst
  Returns the tip text for this property
searchTipText() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Returns the tip text for this property
searchTipText() - Method in class weka.classifiers.rules.DecisionTable
  Returns the tip text for this property
searchTipText() - Method in class weka.filters.supervised.attribute.AttributeSelection
  Returns the tip text for this property
SeasonalityExpoSmooth - Class in weka.core.pmml.jaxbbindings
  Java class for Seasonality_ExpoSmooth element declaration.
SeasonalityExpoSmooth() - Constructor for class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
secondInstanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceJoiner
secondInstanceProduced(InstanceEvent) - Method in interface weka.gui.streams.SerialInstanceListener
secondValueIndexTipText() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
secondValueIndexTipText() - Method in class weka.filters.unsupervised.attribute.SwapValues
seedTipText() - Method in class weka.attributeSelection.OneRAttributeEval
  Returns a string for this option suitable for display in the gui as a tip text
seedTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Returns the tip text for this property
seedTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
seedTipText() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
seedTipText() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
seedTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
seedTipText() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
seedTipText() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
seedTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
seedTipText() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.functions.VotedPerceptron
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.meta.MultiScheme
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.RandomizableClassifier
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.rules.JRip
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.rules.PART
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.trees.RandomForest
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.trees.RandomTree
  Returns the tip text for this property
seedTipText() - Method in class weka.classifiers.trees.REPTree
  Returns the tip text for this property
seedTipText() - Method in class weka.clusterers.Cobweb
  Returns the tip text for this property
seedTipText() - Method in class weka.clusterers.RandomizableClusterer
  Returns the tip text for this property
seedTipText() - Method in class weka.clusterers.RandomizableDensityBasedClusterer
  Returns the tip text for this property
seedTipText() - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
  Returns the tip text for this property
seedTipText() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Returns the tip text for this property.
seedTipText() - Method in class weka.datagenerators.DataGenerator
  Returns the tip text for this property
seedTipText() - Method in class weka.estimators.UnivariateMixtureEstimator
  Returns the tip text for this property
seedTipText() - Method in class weka.filters.supervised.attribute.ClassOrder
  Returns the tip text for this property
seedTipText() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Returns the tip text for this property
seedTipText() - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Returns the tip text for this property
seedTipText() - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Returns the tip text for this property.
seedTipText() - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Returns the tip text for this property
seedTipText() - Method in class weka.gui.beans.CrossValidationFoldMaker
  Tip text for this property
seedTipText() - Method in class weka.gui.beans.TrainTestSplitMaker
  Tip text for this property
Segment - Class in weka.core.pmml.jaxbbindings
  Java class for Segment element declaration.
Segment() - Constructor for class weka.core.pmml.jaxbbindings.Segment
Segmentation - Class in weka.core.pmml.jaxbbindings
  Java class for Segmentation element declaration.
Segmentation() - Constructor for class weka.core.pmml.jaxbbindings.Segmentation
select(int, int[], int, int, int) - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Implements computation of the kth-smallest element according to Manber's "Introduction to Algorithms".
select(int, int[], int, int, int) - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
  Implements computation of the kth-smallest element according to Manber's "Introduction to Algorithms".
select(String) - Method in class weka.experiment.DatabaseUtils
  Executes a SQL SELECT query that returns a ResultSet.
SelectAttributes(ASEvaluation, String[]) - Static method in class weka.attributeSelection.AttributeSelection
  Perform attribute selection with a particular evaluator and a set of options specifying search method and input file etc.
SelectAttributes(Instances) - Method in class weka.attributeSelection.AttributeSelection
  Perform attribute selection on the supplied training instances.
SelectAttributes(ASEvaluation, String[], Instances) - Static method in class weka.attributeSelection.AttributeSelection
  Perform attribute selection with a particular evaluator and a set of options specifying search method and options for the search method and evaluator.
selectAttributesCVSplit(Instances) - Method in class weka.attributeSelection.AttributeSelection
  Select attributes for a split of the data.
selectedAttributes() - Method in class weka.attributeSelection.AttributeSelection
  get the final selected set of attributes.
selectedAttributesTipText() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Returns the tip text for this property
SelectedTag - Class in weka.core
  Represents a selected value from a finite set of values, where each value is a Tag (i.e.
SelectedTag(int, Tag[]) - Constructor for class weka.core.SelectedTag
  Creates a new `SelectedTag` instance.
SelectedTag(String, Tag[]) - Constructor for class weka.core.SelectedTag
  Creates a new `SelectedTag` instance.
SelectedTagEditor - Class in weka.gui
  A PropertyEditor that uses tags, where the tags are obtained from a weka.core.SelectedTag object.
SelectedTagEditor() - Constructor for class weka.gui.SelectedTagEditor
SELECTION_GREEDY - Static variable in class weka.classifiers.functions.LinearRegression
  Attribute selection method: Greedy method
SELECTION_M5 - Static variable in class weka.classifiers.functions.LinearRegression
  Attribute selection method: M5 method
SELECTION_NONE - Static variable in class weka.classifiers.functions.LinearRegression
  Attribute selection method: No attribute selection
selectModel(Instances) - Method in class weka.classifiers.trees.j48.BinC45ModelSelection
  Selects C4.5-type split for the given dataset.
selectModel(Instances, Instances) - Method in class weka.classifiers.trees.j48.BinC45ModelSelection
  Selects C4.5-type split for the given dataset.
selectModel(Instances) - Method in class weka.classifiers.trees.j48.C45ModelSelection
  Selects C4.5-type split for the given dataset.
selectModel(Instances, Instances) - Method in class weka.classifiers.trees.j48.C45ModelSelection
  Selects C4.5-type split for the given dataset.
selectModel(Instances) - Method in class weka.classifiers.trees.j48.ModelSelection
  Selects a model for the given dataset.
selectModel(Instances, Instances) - Method in class weka.classifiers.trees.j48.ModelSelection
  Selects a model for the given train data using the given test data
selectModel(Instances) - Method in class weka.classifiers.trees.j48.NBTreeModelSelection
  Selects NBTree-type split for the given dataset.
selectModel(Instances, Instances) - Method in class weka.classifiers.trees.j48.NBTreeModelSelection
  Selects NBTree-type split for the given dataset.
selectModel(Instances, double[][], double[][]) - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
  Selects split based on residuals for the given dataset.
selectModel(Instances) - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
  Method not in use
selectModel(Instances, Instances) - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
  Method not in use
SEND_INSTANCES - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
  Command to remove instances from this node and send them to the VisualizePanel.
seq(int, int) - Static method in class weka.core.matrix.IntVector
  Generates an IntVector that stores all integers inclusively between two integers.
Sequence - Class in weka.core.pmml.jaxbbindings
  Java class for Sequence element declaration.
Sequence() - Constructor for class weka.core.pmml.jaxbbindings.Sequence
SequenceModel - Class in weka.core.pmml.jaxbbindings
  Java class for SequenceModel element declaration.
SequenceModel() - Constructor for class weka.core.pmml.jaxbbindings.SequenceModel
SequenceReference - Class in weka.core.pmml.jaxbbindings
  Java class for SequenceReference element declaration.
SequenceReference() - Constructor for class weka.core.pmml.jaxbbindings.SequenceReference
SequenceRule - Class in weka.core.pmml.jaxbbindings
  Java class for SequenceRule element declaration.
SequenceRule() - Constructor for class weka.core.pmml.jaxbbindings.SequenceRule
SERIAL_VERSION_UID - Static variable in class weka.core.SerializationHelper
  the field name of serialVersionUID.
SerialInstanceListener - Interface in weka.gui.streams
  Defines an interface for objects able to produce two output streams of instances.
SerializationHelper - Class in weka.core
  A helper class for determining serialVersionUIDs and checking whether classes contain one and/or need one.
SerializationHelper() - Constructor for class weka.core.SerializationHelper
serialize(Object) - Static method in class weka.core.xml.XStream
  Serializes the supplied object xml
SERIALIZED_OBJ_FILE_EXTENSION - Static variable in class weka.core.Instances
  The filename extension that should be used for bin.
SerializedClassifier - Class in weka.classifiers.misc
  A wrapper around a serialized classifier model.
SerializedClassifier() - Constructor for class weka.classifiers.misc.SerializedClassifier
serializedClassifierFileTipText() - Method in class weka.filters.supervised.attribute.AddClassification
  Returns the tip text for this property.
serializedClustererFileTipText() - Method in class weka.filters.unsupervised.attribute.AddCluster
  Returns the tip text for this property.
SerializedInstancesLoader - Class in weka.core.converters
  Reads a source that contains serialized Instances.
SerializedInstancesLoader() - Constructor for class weka.core.converters.SerializedInstancesLoader
SerializedInstancesSaver - Class in weka.core.converters
  Serializes the instances to a file with extension bsi.
SerializedInstancesSaver() - Constructor for class weka.core.converters.SerializedInstancesSaver
  Constructor.
SerializedModelSaver - Class in weka.gui.beans
  A bean that saves serialized models
SerializedModelSaver() - Constructor for class weka.gui.beans.SerializedModelSaver
  Constructor.
SerializedModelSaverBeanInfo - Class in weka.gui.beans
  Bean info class for the serialized model saver bean
SerializedModelSaverBeanInfo() - Constructor for class weka.gui.beans.SerializedModelSaverBeanInfo
SerializedModelSaverCustomizer - Class in weka.gui.beans
  GUI Customizer for the SerializedModelSaver bean
SerializedModelSaverCustomizer() - Constructor for class weka.gui.beans.SerializedModelSaverCustomizer
  Constructor
SerializedObject - Class in weka.core
  Class for storing an object in serialized form in memory.
SerializedObject(Object) - Constructor for class weka.core.SerializedObject
  Creates a new serialized object (without compression).
SerializedObject(Object, boolean) - Constructor for class weka.core.SerializedObject
  Creates a new serialized object.
serializePMMLModel(PMMLModel, String) - Static method in class weka.core.pmml.PMMLFactory
  Serialize a `PMMLModel` object that encapsulates a PMML model
serializePMMLModel(PMMLModel, File) - Static method in class weka.core.pmml.PMMLFactory
  Serialize a `PMMLModel` object that encapsulates a PMML model
serializePMMLModel(PMMLModel, OutputStream) - Static method in class weka.core.pmml.PMMLFactory
  Serialize a `PMMLModel` object that encapsulates a PMML model
SerialUIDChanger - Class in weka.core.xml
  This class enables one to change the UID of a serialized object and therefore not losing the data stored in the binary format.
SerialUIDChanger() - Constructor for class weka.core.xml.SerialUIDChanger
set(int, Instance) - Method in class weka.core.Instances
  Replaces the instance at the given position.
set(int, double) - Method in class weka.core.matrix.DoubleVector
  Set a single element.
set(double) - Method in class weka.core.matrix.DoubleVector
  Set all elements to a value
set(int, int, double) - Method in class weka.core.matrix.DoubleVector
  Set some elements to a value
set(int, int, double[], int) - Method in class weka.core.matrix.DoubleVector
  Set some elements using a 2-D array
set(DoubleVector) - Method in class weka.core.matrix.DoubleVector
  Set the elements using a DoubleVector
set(int, int, DoubleVector, int) - Method in class weka.core.matrix.DoubleVector
  Set some elements using a DoubleVector.
set(int) - Method in class weka.core.matrix.IntVector
  Sets the value of an element.
set(int, int, int[], int) - Method in class weka.core.matrix.IntVector
  Sets the values of elements from an int array.
set(int, int, IntVector, int) - Method in class weka.core.matrix.IntVector
  Sets the values of elements from another IntVector.
set(IntVector) - Method in class weka.core.matrix.IntVector
  Sets the values of elements from another IntVector.
set(int, int) - Method in class weka.core.matrix.IntVector
  Sets a single element.
set(int, int, double) - Method in class weka.core.matrix.Matrix
  Set a single element.
set(int, T) - Method in class weka.core.neighboursearch.covertrees.Stack
  Sets the ith element in the stack.
set(int, Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Replaces the element at the specified position in this list with the specified element.
set(String, String) - Static method in class weka.gui.explorer.ExplorerDefaults
setAbsoluteValue(Double) - Method in class weka.core.pmml.jaxbbindings.Coefficients
  Sets the value of the absoluteValue property.
setActivationFunction(ACTIVATIONFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Sets the value of the activationFunction property.
setActivationFunction(ACTIVATIONFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Sets the value of the activationFunction property.
setActive(boolean) - Method in class weka.gui.beans.AttributeSummarizer
  Set active status of this perspective.
setActive(boolean) - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
  Set active status of this perspective.
setActive(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setActive(boolean) - Method in class weka.gui.beans.ScatterPlotMatrix
  Set active status of this perspective.
setActive(boolean) - Method in class weka.gui.beans.SQLViewerPerspective
  Set active status of this perspective.
setActiveTab(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setAcuity(double) - Method in class weka.clusterers.Cobweb
  set the acuity.
setAdditionalMeasures(String[]) - Method in class weka.experiment.AveragingResultProducer
  Set a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in class weka.experiment.ClassifierSplitEvaluator
  Set a list of method names for additional measures to look for in Classifiers.
setAdditionalMeasures(String[]) - Method in class weka.experiment.CrossValidationResultProducer
  Set a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in class weka.experiment.DatabaseResultProducer
  Set a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Set a list of method names for additional measures to look for in Classifiers.
setAdditionalMeasures(String[]) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Set a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in class weka.experiment.LearningRateResultProducer
  Set a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in class weka.experiment.RandomSplitResultProducer
  Set a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in class weka.experiment.RegressionSplitEvaluator
  Set a list of method names for additional measures to look for in Classifiers.
setAdditionalMeasures(String[]) - Method in interface weka.experiment.ResultProducer
  Sets a list of method names for additional measures to look for in SplitEvaluators.
setAdditionalMeasures(String[]) - Method in interface weka.experiment.SplitEvaluator
  Sets a list of method names for additional measures to look for in SplitEvaluators.
setAddMatchingEndBlocks(boolean) - Method in class weka.gui.scripting.SyntaxDocument
  Sets whether matching block ends are inserted or not.
setAdjRSquared(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the adjRSquared property.
setAdjustWeights(boolean) - Method in class weka.filters.supervised.instance.SpreadSubsample
  Sets whether the instance weights will be adjusted to maintain total weight per class.
setAdvanceDataSetFirst(boolean) - Method in class weka.experiment.Experiment
  Set the value of m_AdvanceDataSetFirst.
setAffinity(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Sets the value of the affinity property.
setAggregate(Aggregate) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Sets the value of the aggregate property.
setAggregate(Aggregate) - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Sets the value of the aggregate property.
setAggregate(Aggregate) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the aggregate property.
setAIC(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the aic property.
setAICc(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the aiCc property.
setAlgorithm(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the algorithm property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.BaselineModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.MiningModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.Regression
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.TextModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
  Sets the value of the algorithmName property.
setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Sets the value of the algorithmName property.
setAllowMultipleTabs(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp
setAllowUnclassifiedInstances(boolean) - Method in class weka.classifiers.trees.RandomTree
  Set the value of AllowUnclassifiedInstances.
setAlpha(double) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
  Set prior used in probability table estimation
setAlpha(Double) - Method in class weka.core.pmml.jaxbbindings.Level
  Sets the value of the alpha property.
setAlternate(Alternate) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Sets the value of the alternate property.
setAlternateTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
  Sets the value of the alternateTargetCategory property.
setAltitude(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Sets the value of the altitude property.
setAltitude(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Sets the value of the altitude property.
setAltitude(Double) - Method in class weka.core.pmml.jaxbbindings.Neuron
  Sets the value of the altitude property.
setAmplitude(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Sets the amplitude multiplier.
setAnimated() - Method in class weka.gui.beans.BeanVisual
  Deprecated.
setAnova(Anova) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Sets the value of the anova property.
setAntecedent(String) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Sets the value of the antecedent property.
setAnyDistribution(AnyDistribution) - Method in class weka.core.pmml.jaxbbindings.Alternate
  Sets the value of the anyDistribution property.
setAnyDistribution(AnyDistribution) - Method in class weka.core.pmml.jaxbbindings.Baseline
  Sets the value of the anyDistribution property.
setAppend(boolean) - Method in class weka.gui.beans.TextSaver
setAppendPredictedProbabilities(boolean) - Method in class weka.gui.beans.PredictionAppender
  Set whether to append predicted probabilities rather than class value (for discrete class data sets)
setApplication(Application) - Method in class weka.core.pmml.jaxbbindings.Header
  Sets the value of the application property.
setApply(Apply) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Sets the value of the apply property.
setApply(Apply) - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Sets the value of the apply property.
setApply(Apply) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the apply property.
setAppropriateSize() - Method in class weka.classifiers.bayes.net.GUI
  Sets the preferred size for m_GraphPanel GraphPanel to the minimum size that is neccessary to display the graph.
setArffFile(String) - Method in class weka.gui.streams.InstanceLoader
setArffFile(String) - Method in class weka.gui.streams.InstanceSavePanel
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.BoundaryValueMeans
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.BoundaryValues
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.ClassLabels
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.Cluster
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.CorrelationFields
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.MissingValueWeights
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.SetPredicate
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.TextDictionary
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.TimeCycle
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.TimeException
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.VectorInstance
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.XCoordinates
  Sets the value of the array property.
setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.YCoordinates
  Sets the value of the array property.
setAssociatedConnections(Vector<BeanConnection>) - Method in class weka.gui.beans.MetaBean
setAssociationModel(AssociationModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the associationModel property.
setAssociator(Associator) - Method in class weka.associations.CheckAssociator
  Set the associator to test.
setAssociator(Associator) - Method in class weka.associations.SingleAssociatorEnhancer
  Set the base associator.
setAssociator(Associator) - Method in class weka.gui.beans.Associator
  Set the associator for this wrapper
setAsText(String) - Method in class weka.gui.beans.EnvironmentField
setAsText(String) - Method in class weka.gui.CostMatrixEditor
  Some objects can be represented as text, but a cost matrix cannot.
setAsText(String) - Method in class weka.gui.GenericArrayEditor
  Returns null as we don't support getting/setting values as text.
setAsText(String) - Method in class weka.gui.GenericObjectEditor
  Returns null as we don't support getting/setting values as text.
setAsText(String) - Method in class weka.gui.SelectedTagEditor
  Sets the current property value as text.
setAsText(String) - Method in class weka.gui.SimpleDateFormatEditor
  Sets the date format string.
setAttList_Irr(boolean[]) - Method in class weka.datagenerators.classifiers.classification.RDG1
  Sets the array that defines which of the attributes are seen to be irrelevant.
setAttribute(int) - Method in class weka.gui.AttributeSummaryPanel
  Sets the attribute that statistics will be displayed for.
setAttribute(int) - Method in class weka.gui.AttributeVisualizationPanel
  Tells the panel which attribute to visualize.
setAttributeColor(SyntaxDocument.ATTR_TYPE, Color) - Method in class weka.gui.scripting.SyntaxDocument
  Sets the foreground (font) color of the specified attribute.
setAttributeColor(MutableAttributeSet, Color) - Static method in class weka.gui.scripting.SyntaxDocument
  Sets the foreground (font) color of the specified attribute.
setAttributeFont(SyntaxDocument.ATTR_TYPE, int) - Method in class weka.gui.scripting.SyntaxDocument
  Sets the font of the specified attribute.
setAttributeFont(MutableAttributeSet, Font) - Static method in class weka.gui.scripting.SyntaxDocument
  Sets the font of the specified attribute.
setAttributeID(int) - Method in class weka.experiment.ClassifierSplitEvaluator
  Set the index of Attibute Identifying the instances
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.Add
  Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.AddNoise
  Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.AddValues
  Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Sets the index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.SwapValues
  Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Sets index of the attribute used.
setAttributeIndex(String) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Sets index of the attribute used.
setAttributeIndexes(String) - Method in class weka.filters.unsupervised.attribute.NominalToString
  Sets index of the attribute used.
setAttributeIndices(String) - Method in interface weka.core.DistanceFunction
  Sets the range of attributes to use in the calculation of the distance.
setAttributeIndices(String) - Method in class weka.core.FilteredDistance
  Sets the range of attributes to use in the calculation of the distance.
setAttributeIndices(String) - Method in class weka.core.NormalizableDistance
  Sets the range of attributes to use in the calculation of the distance.
setAttributeIndices(String) - Method in class weka.filters.supervised.attribute.Discretize
  Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).
setAttributeIndices(String) - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Set which attributes are to be acted on (or not, if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Set which attributes are to be copied (or kept if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.Copy
  Set which attributes are to be copied (or kept if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.Discretize
  Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.FirstOrder
  Set which attributes are to be deleted (or kept if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Sets which attributes are to be used for interquartile calculations and outlier/extreme value detection (only numeric attributes among the selection will be used).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Set which attributes are to be acted on (or not, if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Sets which attributes are to be acted on.
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Sets the columns to use, e.g., first-last or first-3,5-last
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Sets which attributes are to be "nominalized" (only numeric attributes among the selection will be transformed).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Set which attributes are to be transformed (or kept if invert is true).
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.Remove
  Set which attributes are to be deleted (or kept if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Sets which attributes are to be acted on.
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.Reorder
  Set which attributes are to be copied (or kept if invert is true)
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.SortLabels
  Set the range of attributes to process.
setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets which attributes are to be worked on.
setAttributeIndicesArray(int[]) - Method in class weka.filters.supervised.attribute.Discretize
  Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).
setAttributeIndicesArray(int[]) - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Set which attributes are to be acted on (or not, if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Set which attributes are to be copied (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.Copy
  Set which attributes are to be copied (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.Discretize
  Sets which attributes are to be Discretized (only numeric attributes among the selection will be Discretized).
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.FirstOrder
  Set which attributes are to be deleted (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Sets which attributes are to be used for interquartile calculations and outlier/extreme value detection (only numeric attributes among the selection will be used).
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Set which attributes are to be acted on (or not, if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Sets which attributes are to be transoformed to nominal.
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Set which attributes are to be transformed (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.Remove
  Set which attributes are to be deleted (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.Reorder
  Set which attributes are to be copied (or kept if invert is true)
setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets which attributes are to be processed.
setAttributeName(String) - Method in class weka.filters.unsupervised.attribute.Add
  Set the new attribute's name.
setAttributeName(String) - Method in class weka.filters.unsupervised.attribute.AddID
  Set the new attribute's name
setAttributeNamePrefix(String) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Set the attribute name prefix.
setAttributeRange(String) - Method in class weka.filters.unsupervised.attribute.StringToNominal
  Sets range of indices of the attributes used.
setAttributes(String) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Sets the range of attributes to output.
setAttributes(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Set the list of attributes to consider for replacing missing values
setAttributeSelectionMethod(SelectedTag) - Method in class weka.classifiers.functions.LinearRegression
  Sets the method used to select attributes for use in the linear regression.
setAttributeSpecs(List<AddUserFields.AttributeSpec>) - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Set the list of attribute specs to use to create the new attributes.
setAttributeType(SelectedTag) - Method in class weka.filters.unsupervised.attribute.Add
  Sets the type of attribute to generate.
setAttributeType(SelectedTag) - Method in class weka.filters.unsupervised.attribute.RemoveType
  Sets the attribute type to be deleted by the filter.
setAttributeTypes(Hashtable) - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Sets the attribute - attribute-type relation to use.
setAttrIndexRange(String) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Sets which attributes are used in the cluster attributes among the selection will be discretized.
setAttsToApplyTo(String) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Set the attributes to apply the rule to
setAttsToApplyTo(String) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Set the attributes to apply the rule to
setAutoBuild(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
  This will set whether the network is automatically built or if it is left up to the user.
setAutoKeyGeneration(boolean) - Method in class weka.core.converters.DatabaseSaver
  En/Dis-ables the automatic generation of a primary key.
setAvgNumberOfItemsPerTA(Double) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the avgNumberOfItemsPerTA property.
setAvgNumberOfItemsPerTransaction(Double) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Sets the value of the avgNumberOfItemsPerTransaction property.
setAvgNumberOfTAsPerTAGroup(Double) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Sets the value of the avgNumberOfTAsPerTAGroup property.
setBackground(Color) - Method in class weka.gui.visualize.BMPWriter
  sets the background color to use in creating the BMP.
setBackground(Color) - Method in class weka.gui.visualize.JPEGWriter
  sets the background color to use in creating the JPEG.
setBackground(Color) - Method in class weka.gui.visualize.PNGWriter
  sets the background color to use in creating the PNG.
setBackground(Color) - Method in class weka.gui.visualize.PostscriptGraphics
setBackgroundColor(Color) - Method in class weka.gui.scripting.SyntaxDocument
  Sets the background color.
setBagSizePercent(int) - Method in class weka.classifiers.meta.Bagging
  Sets the size of each bag, as a percentage of the training set size.
setBalanceClass(boolean) - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Sets whether the class is balanced.
setBallSplitter(BallSplitter) - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
  Sets the ball splitting algorithm to be used by the TopDown constructor.
setBallTreeConstructor(BallTreeConstructor) - Method in class weka.core.neighboursearch.BallTree
  Sets the BallTreeConstructor for building the BallTree (default TopDownConstructor).
setBase(double) - Method in class weka.core.neighboursearch.CoverTree
  Sets the base to use for expansion constant.
setBaseEvaluation(Evaluation) - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
  Set the base evaluation object to use.
setBaseExperiment(Experiment) - Method in class weka.experiment.RemoteExperiment
  Set the base experiment.
setBaseline(Baseline) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Sets the value of the baseline property.
setBaselineMethod(String) - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Sets the value of the baselineMethod property.
setBaselineModel(BaselineModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the baselineModel property.
setBaselineScore(Double) - Method in class weka.core.pmml.jaxbbindings.Characteristic
  Sets the value of the baselineScore property.
setBaselineScore(Double) - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Sets the value of the baselineScore property.
setBaselineStrataVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the baselineStrataVariable property.
setBatchSize(String) - Method in class weka.classifiers.meta.FilteredClassifier
  Set the batch size to use.
setBatchSize(String) - Method in class weka.classifiers.meta.LogitBoost
  Dummy method to satisfy BatchPredictor interface.
setBatchSize(String) - Method in interface weka.core.BatchPredictor
  Set the batch size to use.
setBeanContext(BeanContext) - Method in class weka.gui.beans.AbstractDataSource
  Set a bean context for this bean
setBeanContext(BeanContext) - Method in class weka.gui.beans.CostBenefitAnalysis
setBeanContext(BeanContext) - Method in class weka.gui.beans.DataVisualizer
  Set a bean context for this bean
setBeanContext(BeanContext) - Method in class weka.gui.beans.GraphViewer
  Set a bean context for this bean
setBeanContext(BeanContext) - Method in class weka.gui.beans.Loader
  Set a bean context for this bean
setBeanContext(BeanContext) - Method in class weka.gui.beans.ModelPerformanceChart
  Set a bean context for this bean
setBeanContext(BeanContext) - Method in class weka.gui.beans.TextViewer
  Set a bean context for this bean
setBeanInstances(Vector<Object>, JComponent, Integer...) - Static method in class weka.gui.beans.BeanInstance
  Adds the supplied collection of beans at the supplied index in the list of collections.
setBestFit(TIMESERIESALGORITHM) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
  Sets the value of the bestFit property.
setBeta(double) - Method in class weka.core.pmml.jaxbbindings.PCell
  Sets the value of the beta property.
setBias(double) - Method in class weka.classifiers.functions.SGDText
setBias(Double) - Method in class weka.core.pmml.jaxbbindings.Neuron
  Sets the value of the bias property.
setBiasToUniformClass(double) - Method in class weka.filters.supervised.instance.Resample
  Sets the bias towards a uniform class.
setBIC(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the bic property.
setBIFFile(String) - Method in class weka.classifiers.bayes.BayesNet
  Set name of network in BIF file to compare with
setBIFFile(String) - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
  Set name of network in BIF file to read structure from
setBinarizeNumericAttributes(boolean) - Method in class weka.attributeSelection.InfoGainAttributeEval
  Binarize numeric attributes.
setBinaryAttributesNominal(boolean) - Method in class weka.filters.supervised.attribute.NominalToBinary
  Sets if binary attributes are to be treates as nominal ones.
setBinaryAttributesNominal(boolean) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Sets if binary attributes are to be treates as nominal ones.
setBinarySimilarity(BinarySimilarity) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the binarySimilarity property.
setBinarySplits(boolean) - Method in class weka.classifiers.rules.PART
  Set the value of binarySplits.
setBinarySplits(boolean) - Method in class weka.classifiers.trees.J48
  Set the value of binarySplits.
setBinRangePrecision(int) - Method in class weka.filters.supervised.attribute.Discretize
  Set the precision for bin boundaries.
setBins(int) - Method in class weka.filters.unsupervised.attribute.Discretize
  Sets the number of bins to divide each selected numeric attribute into
setBins(int) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Ignored
setBinValue(String) - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
  Sets the value of the binValue property.
setBlendFactor(int) - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
  Set the blending factor
setBlendMethod(int) - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
  Set the blending method
setBlockEnd(String) - Method in class weka.gui.scripting.SyntaxDocument
  Sets the string that is the end of a block.
setBlockOnLastFold(boolean) - Method in class weka.gui.beans.Classifier
  Set whether to block on receiving the last fold of the last run rather than rejecting any further data until all processing is complete.
setBlockStart(String) - Method in class weka.gui.scripting.SyntaxDocument
  Sets the string that is the start of a block.
setBooleanCols(Range) - Method in class weka.datagenerators.ClusterGenerator
  Sets which attributes are boolean.
setBooleanIndices(String) - Method in class weka.datagenerators.ClusterGenerator
  Sets which attributes are boolean
setBooleanOperator(String) - Method in class weka.core.pmml.jaxbbindings.CompoundPredicate
  Sets the value of the booleanOperator property.
setBooleanOperator(String) - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
  Sets the value of the booleanOperator property.
setBoundaryValueMeans(BoundaryValueMeans) - Method in class weka.core.pmml.jaxbbindings.LiftGraph
  Sets the value of the boundaryValueMeans property.
setBoundaryValues(BoundaryValues) - Method in class weka.core.pmml.jaxbbindings.LiftGraph
  Sets the value of the boundaryValues property.
setBoundaryValues(BoundaryValues) - Method in class weka.core.pmml.jaxbbindings.ROCGraph
  Sets the value of the boundaryValues property.
setBuffer(StringBuffer) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Sets the buffer to use.
setBufferSize(int) - Method in class weka.core.converters.CSVLoader
  Set the buffer size to use - i.e.
setBufferSize(String) - Method in class weka.gui.beans.Sorter
  Set the size of the in-memory buffer
setBuildLogisticModels(boolean) - Method in class weka.classifiers.functions.SMO
  Set the value of buildLogisticModels.
setBuildRegressionTree(boolean) - Method in class weka.classifiers.trees.m5.M5Base
  Set the value of regressionTree.
setBusinessProblem(String) - Method in class weka.core.pmml.jaxbbindings.Decisions
  Sets the value of the businessProblem property.
setC(double) - Method in class weka.classifiers.functions.SMO
  Set the value of C.
setC(double) - Method in class weka.classifiers.functions.SMOreg
  Set the value of C.
setC00Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Sets the value of the c00Parameter property.
setC01Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Sets the value of the c01Parameter property.
setC10Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Sets the value of the c10Parameter property.
setC11Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Sets the value of the c11Parameter property.
setCacheKeyName(String) - Method in class weka.experiment.DatabaseResultListener
  Set the value of CacheKeyName.
setCacheSize(int) - Method in class weka.classifiers.functions.supportVector.CachedKernel
  Sets the size of the cache to use (a prime number)
setCacheSize(int) - Method in class weka.classifiers.functions.supportVector.StringKernel
  Sets the size of the cache to use (a prime number)
setCalcOutOfBag(boolean) - Method in class weka.classifiers.meta.Bagging
  Set whether the out of bag error is calculated.
setCalculateStdDevs(boolean) - Method in class weka.experiment.AveragingResultProducer
  Set the value of CalculateStdDevs.
setCanChangeClassInDialog(boolean) - Method in class weka.gui.GenericObjectEditor
  Sets whether the user can change the class in the dialog.
setCanopies(Instances) - Method in class weka.clusterers.Canopy
  Set the canopies to use (replaces any learned by this clusterer already)
setCanopyMaxNumCanopiesToHoldInMemory(int) - Method in class weka.clusterers.SimpleKMeans
  Set the maximum number of candidate canopies to retain in memory during training.
setCanopyMinimumCanopyDensity(double) - Method in class weka.clusterers.SimpleKMeans
  Set the minimum T2-based density below which a canopy will be pruned during periodic pruning.
setCanopyPeriodicPruningRate(int) - Method in class weka.clusterers.SimpleKMeans
  Set the how often to prune low density canopies during training (if using canopy clustering)
setCanopyT1(double) - Method in class weka.clusterers.SimpleKMeans
  Set the t1 radius to use when canopy clustering is being used as start points and/or to reduce the number of distance calcs
setCanopyT2(double) - Method in class weka.clusterers.SimpleKMeans
  Set the t2 radius to use when canopy clustering is being used as start points and/or to reduce the number of distance calcs
setCapabilities(Capabilities) - Method in class weka.core.FindWithCapabilities
  Uses the given Capabilities for the search.
setCapabilities(Capabilities) - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
  sets the initial capabilities.
setCapabilitiesFilter(Capabilities) - Method in class weka.gui.ConverterFileChooser
  sets the capabilities that the savers must have.
setCapabilitiesFilter(Capabilities) - Method in class weka.gui.GenericObjectEditor
  Sets the capabilities to use for filtering.
setCapacity(int) - Method in class weka.core.FastVector
  Deprecated.
  Sets the vector's capacity to the given value.
setCapacity(int) - Method in class weka.core.matrix.DoubleVector
  Sets the capacity of the vector
setCapacity(int) - Method in class weka.core.matrix.IntVector
  Sets the capacity of the vector
setCar(boolean) - Method in class weka.associations.Apriori
  Sets class association rule mining
setCardinality(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Counts
  Sets the value of the cardinality property.
setCardinality(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Sets the cardinality of the attributes (incl class attribute)
setCaseSensitive(boolean) - Method in class weka.gui.scripting.SyntaxDocument
  Sets whether the keywords are case-sensitive or not.
setCastInteger(String) - Method in class weka.core.pmml.jaxbbindings.Target
  Sets the value of the castInteger property.
setCategoricalScoringMethod(CATSCORINGMETHOD) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Sets the value of the categoricalScoringMethod property.
setCategories(Categories) - Method in class weka.core.pmml.jaxbbindings.Predictor
  Sets the value of the categories property.
setCategory(String) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the category property.
setCell(int, int, Object) - Method in class weka.classifiers.CostMatrix
  Set the value of a particular cell in the matrix
setCenter(double) - Method in class weka.gui.treevisualizer.Node
  Set the value of center.
setCenterData(boolean) - Method in class weka.attributeSelection.PrincipalComponents
  Set whether to center (rather than standardize) the data.
setCenterData(boolean) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Set whether to center (rather than standardize) the data.
setCenteredLocation() - Method in class weka.gui.arffviewer.ArffViewer
  positions the window at the center of the screen
setChanged(boolean) - Method in class weka.gui.arffviewer.ArffPanel
  can only reset the changed state to FALSE
setChar(Character) - Method in class weka.core.Trie.TrieNode
  sets the character this node represents
setCharSet(String) - Method in class weka.core.converters.TextDirectoryLoader
  Set the character set to use when reading text files (an empty string indicates that the default character set will be used).
setChartingEvalWindowSize(int) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Set whether to compute evaluation for charting over a fixed sized window of the most recent instances (rather than the whole stream).
setChebychev(Chebychev) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the chebychev property.
setChecked(int, boolean) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  sets the checked state of the element at the given index
setChecked(int, boolean) - Method in class weka.gui.CheckBoxList
  sets the checked state of the element at the given index
setCheckErrorRate(boolean) - Method in class weka.classifiers.rules.JRip
  Sets whether to check for error rate is in stopping criterion
setChecksTurnedOff(boolean) - Method in class weka.classifiers.functions.SMO
  Disables or enables the checks (which could be time-consuming).
setChecksTurnedOff(boolean) - Method in class weka.classifiers.functions.supportVector.Kernel
  Disables or enables the checks (which could be time-consuming).
setChecksTurnedOff(boolean) - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Disables or enables the checks (which could be time-consuming).
setChild(String, HNode) - Method in class weka.classifiers.trees.ht.SplitNode
  Add a child
setChildField(String) - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Sets the value of the childField property.
setChiSquareValue(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the chiSquareValue property.
setCindex(int, double, double) - Method in class weka.gui.visualize.AttributePanel
  Set the index of the attribute by which to colour the data.
setCindex(int) - Method in class weka.gui.visualize.AttributePanel
  Set the index of the attribute by which to colour the data.
setCindex(int) - Method in class weka.gui.visualize.ClassPanel
  Set the index of the attribute to display coloured labels for
setCindex(int) - Method in class weka.gui.visualize.Plot2D
  Set the index of the attribute to use for colouring
setCindex(int) - Method in class weka.gui.visualize.PlotData2D
  Set the colouring index of the data
setCityBlock(CityBlock) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the cityBlock property.
setClass(Attribute) - Method in class weka.core.Instances
  Sets the class attribute.
setClassColumn(String) - Method in class weka.gui.beans.ClassAssigner
setClassFlag(boolean) - Method in class weka.datagenerators.ClusterGenerator
  Sets the class flag, if class flag is set, the cluster is listed as class atrribute in an extra attribute.
setClassForIRStatistics(int) - Method in class weka.experiment.ClassifierSplitEvaluator
  Set the value of ClassForIRStatistics.
setClassificationMethod(SVMCLASSIFICATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Sets the value of the classificationMethod property.
setClassifier(Classifier) - Method in class weka.attributeSelection.WrapperSubsetEval
  Set the classifier to use for accuracy estimation
setClassifier(Classifier) - Method in class weka.classifiers.BVDecompose
  Set the classifiers being analysed
setClassifier(Classifier) - Method in class weka.classifiers.BVDecomposeSegCVSub
  Set the classifiers being analysed
setClassifier(Classifier) - Method in class weka.classifiers.CheckClassifier
  Set the classifier for boosting.
setClassifier(Classifier) - Method in class weka.classifiers.CheckSource
  Sets the classifier to use for the comparison.
setClassifier(Classifier) - Method in class weka.classifiers.SingleClassifierEnhancer
  Set the base learner.
setClassifier(Classifier) - Method in class weka.experiment.ClassifierSplitEvaluator
  Sets the classifier.
setClassifier(Classifier) - Method in class weka.experiment.RegressionSplitEvaluator
  Sets the classifier.
setClassifier(Classifier) - Method in class weka.filters.supervised.attribute.AddClassification
  Sets the classifier to classify instances with.
setClassifier(Classifier) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Sets the classifier to classify instances with.
setClassifier(Classifier) - Method in class weka.gui.beans.BatchClassifierEvent
  Set the classifier
setClassifier(Classifier) - Method in class weka.gui.beans.IncrementalClassifierEvent
setClassifier(Classifier) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Set the classifier to use.
setClassifier(Classifier) - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Set a classifier to use
setClassifier(Classifier) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the classifier to use
setClassifier(Classifier) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Sets the classifier used for making the predictions.
setClassifierName(String) - Method in class weka.experiment.ClassifierSplitEvaluator
  Set the Classifier to use, given it's class name.
setClassifierName(String) - Method in class weka.experiment.RegressionSplitEvaluator
  Set the Classifier to use, given it's class name.
setClassifierPanel(ClassifierPanel) - Method in interface weka.gui.explorer.ClassifierPanelLaunchHandlerPlugin
  Allows the classifier panel to pass in a reference to itself
setClassifiers(Classifier[]) - Method in class weka.classifiers.meta.MultiScheme
  Sets the list of possible classifers to choose from.
setClassifiers(Classifier[]) - Method in class weka.classifiers.MultipleClassifiersCombiner
  Sets the list of possible classifers to choose from.
setClassifierTemplate(Classifier) - Method in class weka.gui.beans.Classifier
  Set the template classifier for this wrapper
setClassifyIterations(int) - Method in class weka.classifiers.BVDecomposeSegCVSub
  Sets the number of times an instance is classified
setClassIndex(int) - Method in class weka.associations.Apriori
  Sets the class index
setClassIndex(int) - Method in interface weka.associations.CARuleMiner
  Sets the class index for the class association rule miner
setClassIndex(int) - Method in class weka.associations.FilteredAssociator
  Sets the class index
setClassIndex(int) - Method in class weka.classifiers.BVDecompose
  Sets index of attribute to discretize on
setClassIndex(int) - Method in class weka.classifiers.BVDecomposeSegCVSub
  Sets index of attribute to discretize on
setClassIndex(int) - Method in class weka.classifiers.CheckSource
  Sets the class index of the dataset.
setClassIndex(String) - Method in class weka.core.converters.JSONSaver
  Sets index of the class attribute.
setClassIndex(String) - Method in class weka.core.converters.LibSVMSaver
  Sets index of the class attribute.
setClassIndex(String) - Method in class weka.core.converters.SVMLightSaver
  Sets index of the class attribute.
setClassIndex(String) - Method in class weka.core.converters.XRFFSaver
  Sets index of the class attribute.
setClassIndex(String) - Method in class weka.core.FindWithCapabilities
  sets the class index, -1 for none, first and last are also valid.
setClassIndex(int) - Method in class weka.core.Instances
  Sets the class index of the set.
setClassIndex(int) - Method in class weka.core.TestInstances
  sets the class index (0-based)
setClassIndex(int) - Method in class weka.filters.CheckSource
  Sets the class index of the dataset.
setClassIndex(String) - Method in class weka.filters.unsupervised.attribute.ClassAssigner
  sets the class index.
setClassIndex(int) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Sets the attribute on which misclassifications are based.
setClassIndex(int) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Sets the 0-based class index.
setClassLabels(ClassLabels) - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
  Sets the value of the classLabels property.
setClassMissing() - Method in class weka.core.AbstractInstance
  Sets the class value of an instance to be "missing".
setClassMissing() - Method in interface weka.core.Instance
  Sets the class value of an instance to be "missing".
setClassname(String) - Method in class weka.core.AllJavadoc
  sets the classname of the class to generate the Javadoc for
setClassname(String) - Method in class weka.core.Javadoc
  sets the classname of the class to generate the Javadoc for
setClassname(String) - Method in class weka.core.ListOptions
  sets the classname of the class to generate the Javadoc for
setClassName(String) - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Sets the class containing the transformation method.
setClassOrder(int) - Method in class weka.filters.supervised.attribute.ClassOrder
  Set the wanted class order
setClassType(int) - Method in class weka.core.TestInstances
  sets the class attribute type
setClassType(Class<?>) - Method in class weka.gui.GenericObjectEditor
  Sets the class of values that can be edited.
setClassValue(double) - Method in class weka.core.AbstractInstance
  Sets the class value of an instance to the given value (internal floating-point format).
setClassValue(String) - Method in class weka.core.AbstractInstance
  Sets the class value of an instance to the given value.
setClassValue(double) - Method in interface weka.core.Instance
  Sets the class value of an instance to the given value (internal floating-point format).
setClassValue(String) - Method in interface weka.core.Instance
  Sets the class value of an instance to the given value.
setClassValue(String) - Method in class weka.gui.beans.ClassValuePicker
  Set the class value considered to be the "positive" class value.
setClassValueIndex(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Set the class value index to use
setClearEachDataset(boolean) - Method in class weka.gui.streams.InstanceViewer
setClip(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
setClip(Shape) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
setCloseTo(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Set the "close to" number.
setCloseToDefault(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Set the "close to" default.
setCloseToTolerance(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Set the "close to" Tolerance.
setClosure(String) - Method in class weka.core.pmml.jaxbbindings.Interval
  Sets the value of the closure property.
setClusterCanopyAssignments(List<long[]>) - Method in class weka.clusterers.Canopy
  Set the canopies that each canopy (cluster center) is within T1 distance of
setClusterDefinitions(ClusterDefinition[]) - Method in class weka.datagenerators.clusterers.SubspaceCluster
  sets the clusters to use
setClusterer(Clusterer) - Method in class weka.attributeSelection.UnsupervisedSubsetEvaluator
  Set the clusterer to use
setClusterer(Clusterer) - Method in class weka.clusterers.CheckClusterer
  Set the clusterer for testing.
setClusterer(Clusterer) - Method in class weka.clusterers.ClusterEvaluation
  set the clusterer
setClusterer(Clusterer) - Method in class weka.clusterers.MakeDensityBasedClusterer
  Sets the clusterer to wrap.
setClusterer(Clusterer) - Method in class weka.clusterers.SingleClustererEnhancer
  Set the base clusterer.
setClusterer(DensityBasedClusterer) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Sets the clusterer.
setClusterer(Clusterer) - Method in class weka.filters.unsupervised.attribute.AddCluster
  Sets the clusterer to assign clusters with.
setClusterer(Clusterer) - Method in class weka.gui.beans.Clusterer
  Set the clusterer for this wrapper
setClusterer(Clusterer) - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
  Sets the classifier used for making the predictions.
setClustererName(String) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Set the Clusterer to use, given it's class name.
setClustererPanel(ClustererPanel) - Method in interface weka.gui.explorer.ClustererPanelLaunchHandlerPlugin
  Allows the clusterer panel to pass in a reference to itself
setClusterEvaluation(ClusterEvaluation) - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
  Sets the cluster evaluation object to use.
setClusteringModel(ClusteringModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the clusteringModel property.
setClusterSubType(SelectedTag) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Sets the cluster sub type.
setClusterType(SelectedTag) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Sets the cluster type.
setCoef0(Double) - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
  Sets the value of the coef0 property.
setCoef0(Double) - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
  Sets the value of the coef0 property.
setCoefficient(double) - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
  Sets the value of the coefficient property.
setCoefficient(double) - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
  Sets the value of the coefficient property.
setCoefficient(double) - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
  Sets the value of the coefficient property.
setCoefficients(Coefficients) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
  Sets the value of the coefficients property.
setCol(BigInteger) - Method in class weka.core.pmml.jaxbbindings.MatCell
  Sets the value of the col property.
setColHidden(int, boolean) - Method in class weka.experiment.ResultMatrix
  sets the hidden status of the column (if the index is valid).
setCollapseTree(boolean) - Method in class weka.classifiers.trees.J48
  Set the value of collapseTree.
setColName(int, String) - Method in class weka.experiment.ResultMatrix
  sets the name of the column (if the index is valid).
setColNameWidth(int) - Method in class weka.experiment.ResultMatrix
  sets the width for the column names (0 = optimal).
setColor(Color) - Method in class weka.gui.treevisualizer.Node
  Set the value of color.
setColor(Color) - Method in class weka.gui.visualize.PostscriptGraphics
  Set current pen color.
setColOrder(int[]) - Method in class weka.experiment.ResultMatrix
  sets the ordering of the columns, null means default.
setColoringIndex(int) - Method in class weka.gui.AttributeVisualizationPanel
  Set the coloring (class) index for the plot
setColoringIndex(int) - Method in class weka.gui.beans.AttributeSummarizer
  Set the coloring index for the attribute summary plots
setColors(ArrayList<Color>) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Set a vector of Color objects for the classes
setColourIndex(int) - Method in class weka.gui.visualize.VisualizePanel
  Sets the index used for colouring.
setColours(ArrayList<Color>) - Method in class weka.gui.visualize.AttributePanel
  Sets a list of colours to use for colouring data points
setColours(ArrayList<Color>) - Method in class weka.gui.visualize.ClassPanel
  Set a list of colours to use for colouring labels
setColours(ArrayList<Color>) - Method in class weka.gui.visualize.Plot2D
  Set a list of colours to use when colouring points according to class values or cluster numbers
setColumn(int, double[]) - Method in class weka.core.Matrix
  Deprecated.
  Sets a column of the matrix to the given column.
setColumn(String) - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
  Sets the value of the column property.
setColumn(String) - Method in class weka.core.pmml.jaxbbindings.InstanceField
  Sets the value of the column property.
setColumn(String) - Method in class weka.core.pmml.jaxbbindings.VerificationField
  Sets the value of the column property.
setCombinationRule(SelectedTag) - Method in class weka.classifiers.meta.Vote
  Sets the combination rule to use.
setCompareFunction(COMPAREFUNCTION) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Sets the value of the compareFunction property.
setCompareFunction(COMPAREFUNCTION) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the compareFunction property.
setCompareFunction(COMPAREFUNCTION) - Method in class weka.core.pmml.jaxbbindings.KNNInput
  Sets the value of the compareFunction property.
setComparisons(Comparisons) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Sets the value of the comparisons property.
setComponent(JComponent) - Method in class weka.gui.visualize.JComponentWriter
  sets the component to print to an output format
setComposite(Composite) - Method in class weka.gui.visualize.PostscriptGraphics
setCompoundPredicate(CompoundPredicate) - Method in class weka.core.pmml.jaxbbindings.Attribute
  Sets the value of the compoundPredicate property.
setCompoundPredicate(CompoundPredicate) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
  Sets the value of the compoundPredicate property.
setCompoundPredicate(CompoundPredicate) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the compoundPredicate property.
setCompoundPredicate(CompoundPredicate) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Sets the value of the compoundPredicate property.
setCompressOutput(boolean) - Method in class weka.core.converters.ArffSaver
  Sets whether to compress the output.
setCompressOutput(boolean) - Method in class weka.core.converters.JSONSaver
  Sets whether to compress the output.
setCompressOutput(boolean) - Method in class weka.core.converters.XRFFSaver
  Sets whether to compress the output.
setConfidence(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Sets the value of the confidence property.
setConfidence(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
  Sets the value of the confidence property.
setConfidence(double) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Sets the value of the confidence property.
setConfidence(Double) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Sets the value of the confidence property.
setConfidenceFactor(float) - Method in class weka.classifiers.rules.PART
  Set the value of CF.
setConfidenceFactor(float) - Method in class weka.classifiers.trees.J48
  Set the value of CF.
setConfidenceLevel(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the confidenceLevel property.
setConfidenceLowerBound(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the confidenceLowerBound property.
setConfidenceUpperBound(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the confidenceUpperBound property.
setConfirmExit(boolean) - Method in class weka.gui.arffviewer.ArffViewer
  whether to present a MessageBox on Exit or not
setConfirmExit(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  whether to present a MessageBox on Exit or not
setConfusionMatrix(ConfusionMatrix) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the confusionMatrix property.
setConnections(Vector<BeanConnection>, Integer...) - Static method in class weka.gui.beans.BeanConnection
  Describe `setConnections` method here.
setConnectPoints(boolean[]) - Method in class weka.gui.visualize.PlotData2D
  Set whether consecutive points should be connected by lines
setConnectPoints(ArrayList<Boolean>) - Method in class weka.gui.visualize.PlotData2D
  Set whether consecutive points should be connected by lines
setConsequent(double) - Method in class weka.classifiers.rules.JRip.RipperRule
  Sets the internal representation of the class label to be predicted
setConsequent(String) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Sets the value of the consequent property.
setConservativeForwardSelection(boolean) - Method in class weka.attributeSelection.GreedyStepwise
  Set whether attributes should continue to be added during a forward search as long as merit does not decrease
setConstant(Constant) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Sets the value of the constant property.
setConstant(Constant) - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Sets the value of the constant property.
setConstant(Constant) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the constant property.
setConsumeNonMatching(boolean) - Method in class weka.gui.beans.SubstringLabeler
  Set whether instances that do not match any of the rules should be "consumed" rather than output with a missing value set for the new attribute.
setConsumeNonMatching(boolean) - Method in class weka.gui.beans.SubstringLabelerRules
  Set whether to consume non matching instances.
setContainChildBalls(boolean) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Sets whether if a parent ball should completely enclose its two child balls.
setContent(String) - Method in class weka.core.pmml.jaxbbindings.ArrayType
  Sets the value of the content property.
setContent(String) - Method in class weka.gui.scripting.Script
  Sets the content.
setContentType(String) - Method in class weka.gui.DocumentPrinting
  Sets the content type.
setContinuousScoringMethod(CONTSCORINGMETHOD) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Sets the value of the continuousScoringMethod property.
setContrastMatrixType(String) - Method in class weka.core.pmml.jaxbbindings.Predictor
  Sets the value of the contrastMatrixType property.
setContStats(ContStats) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Sets the value of the contStats property.
setConvertNominal(boolean) - Method in class weka.classifiers.trees.LMT
  Set the value of convertNominal.
setCoord1(Float) - Method in class weka.core.pmml.jaxbbindings.KohonenMap
  Sets the value of the coord1 property.
setCoord2(Float) - Method in class weka.core.pmml.jaxbbindings.KohonenMap
  Sets the value of the coord2 property.
setCoord3(Float) - Method in class weka.core.pmml.jaxbbindings.KohonenMap
  Sets the value of the coord3 property.
setCopyright(String) - Method in class weka.core.pmml.jaxbbindings.Header
  Sets the value of the copyright property.
setCoreConvertersOnly(boolean) - Method in class weka.gui.ConverterFileChooser
  Whether to display only the hardocded core converters.
setCorrelationFields(CorrelationFields) - Method in class weka.core.pmml.jaxbbindings.Correlations
  Sets the value of the correlationFields property.
setCorrelationMethods(CorrelationMethods) - Method in class weka.core.pmml.jaxbbindings.Correlations
  Sets the value of the correlationMethods property.
setCorrelations(Correlations) - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
  Sets the value of the correlations property.
setCorrelationValues(CorrelationValues) - Method in class weka.core.pmml.jaxbbindings.Correlations
  Sets the value of the correlationValues property.
setCostMatrix(CostMatrix) - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Sets the misclassification cost matrix.
setCostMatrixSource(SelectedTag) - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Sets the source location of the cost matrix.
setCount(double) - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
  Sets the value of the count property.
setCount(double) - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
  Sets the value of the count property.
setCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeException
  Sets the value of the count property.
setCount(int, double) - Method in class weka.experiment.ResultMatrix
  sets the count for the row (if the index is valid).
setCounter(int) - Method in class weka.associations.ItemSet
  Sets the counter
setCounts(Counts) - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
  Sets the value of the counts property.
setCounts(Counts) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Sets the value of the counts property.
setCountTable(COUNTTABLETYPE) - Method in class weka.core.pmml.jaxbbindings.Baseline
  Sets the value of the countTable property.
setCountWidth(int) - Method in class weka.experiment.ResultMatrix
  sets the width for the counts (0 = optimal).
setCovariances(Covariances) - Method in class weka.core.pmml.jaxbbindings.Cluster
  Sets the value of the covariances property.
setCreatorApplication(Document) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
  Set the name of the application (if specified) that created this model
setCreatorApplication(Document) - Method in interface weka.core.pmml.PMMLModel
  Set the name of the application (if specified) that created this.
setCriterion(String) - Method in class weka.core.pmml.jaxbbindings.RuleSelectionMethod
  Sets the value of the criterion property.
setCrossVal(int) - Method in class weka.classifiers.rules.DecisionTable
  Sets the number of folds for cross validation (1 = leave one out)
setCrossValidate(boolean) - Method in class weka.classifiers.lazy.IBk
  Sets whether hold-one-out cross-validation will be used to select the best k value.
setCumHazard(double) - Method in class weka.core.pmml.jaxbbindings.BaselineCell
  Sets the value of the cumHazard property.
setCumulativeLink(CUMULATIVELINKFUNCTION) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the cumulativeLink property.
setCurrentFilename(String) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  sets the filename of the current tab
setCurrentInstance(Instance) - Method in class weka.gui.beans.IncrementalClassifierEvent
  Set the current instance for this event
setCurrentZoomSetting(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setCurveData(PlotData2D, Attribute) - Method in class weka.gui.beans.CostBenefitAnalysis
  Set the threshold curve data to use.
setCustomColour(Color) - Method in class weka.gui.visualize.PlotData2D
  Set a custom colour to use for this plot.
setCustomHeight(int) - Method in class weka.gui.visualize.JComponentWriter
  sets the custom height to use
setCustomName(String) - Method in class weka.gui.beans.Appender
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Associator
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in interface weka.gui.beans.BeanCommon
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.ClassAssigner
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Classifier
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.ClassValuePicker
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Clusterer
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.CostBenefitAnalysis
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.CrossValidationFoldMaker
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.DataVisualizer
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Filter
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.FlowByExpression
setCustomName(String) - Method in class weka.gui.beans.ImageSaver
setCustomName(String) - Method in class weka.gui.beans.ImageViewer
setCustomName(String) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Join
  Set a custom name for this step
setCustomName(String) - Method in class weka.gui.beans.Loader
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.MetaBean
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.ModelPerformanceChart
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.PredictionAppender
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Saver
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.SerializedModelSaver
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.Sorter
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.StripChart
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.SubstringLabeler
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.SubstringReplacer
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.TestSetMaker
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.TextSaver
setCustomName(String) - Method in class weka.gui.beans.TextViewer
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.TrainingSetMaker
  Set a custom (descriptive) name for this bean
setCustomName(String) - Method in class weka.gui.beans.TrainTestSplitMaker
  Set a custom (descriptive) name for this bean
setCustomPropsFile(File) - Method in class weka.core.converters.DatabaseLoader
  Sets the custom properties file to use.
setCustomPropsFile(File) - Method in class weka.core.converters.DatabaseSaver
  Sets the custom properties file to use.
setCustomPropsFile(File) - Method in class weka.experiment.InstanceQuery
  Sets the custom properties file to use.
setCustomWidth(int) - Method in class weka.gui.visualize.JComponentWriter
  sets the custom width to use
setCutoff(double) - Method in class weka.clusterers.Cobweb
  set the cutoff
setCVisible(boolean) - Method in class weka.gui.treevisualizer.Node
  Sets all the children of this node either to visible or invisible
setCVParameters(Object[]) - Method in class weka.classifiers.meta.CVParameterSelection
  Set method for CVParameters.
setCVType(SelectedTag) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  set cross validation strategy to be used in searching for networks.
setD00Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Sets the value of the d00Parameter property.
setD01Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Sets the value of the d01Parameter property.
setD10Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Sets the value of the d10Parameter property.
setD11Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
  Sets the value of the d11Parameter property.
setData(Instances) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Assuming a network structure is defined and we want to learn from data, the data set must be put if correct order first and possibly discretized/missing values filled in before proceeding to CPT learning.
setData(Instances) - Method in class weka.classifiers.rules.RuleStats
  Set the data of the stats, overwriting the old one if any
setDatabaseURL(String) - Method in class weka.experiment.DatabaseUtils
  Set the value of DatabaseURL.
setDataDictionary(DataDictionary) - Method in class weka.core.pmml.jaxbbindings.PMML
  Sets the value of the dataDictionary property.
setDataFileName(String) - Method in class weka.classifiers.BVDecompose
  Sets the name of the data file used for the decomposition
setDataFileName(String) - Method in class weka.classifiers.BVDecomposeSegCVSub
  Sets the name of the dataset file.
setDataGenerator(DataGenerator) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Set the data generator to use for generating new instances
setDataGenerator(DataGenerator) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the density estimator to use
setDataName(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
  Sets the value of the dataName property.
setDataName(String) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the dataName property.
setDataPoint(double[]) - Method in class weka.gui.beans.ChartEvent
  Set the data point
setDataset(File) - Method in class weka.classifiers.CheckSource
  Sets the dataset to use for testing.
setDataset(Instances) - Method in class weka.core.AbstractInstance
  Sets the reference to the dataset.
setDataset(Instances) - Method in interface weka.core.Instance
  Sets the reference to the dataset.
setDataset(File) - Method in class weka.filters.CheckSource
  Sets the dataset to use for testing.
setDatasetFormat(Instances) - Method in class weka.datagenerators.DataGenerator
  Sets the format of the dataset that is to be generated.
setDatasetKeyColumns(Range) - Method in class weka.experiment.PairedTTester
  Set the value of DatasetKeyColumns.
setDatasetKeyColumns(Range) - Method in interface weka.experiment.Tester
  Set the value of DatasetKeyColumns.
setDatasetKeyFromDialog() - Method in class weka.gui.experiment.ResultsPanel
setDatasets(DefaultListModel) - Method in class weka.experiment.Experiment
  Set the datasets to use in the experiment
setDatasets(DefaultListModel) - Method in class weka.experiment.RemoteExperiment
  Set the datasets to use in the experiment
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.Constant
  Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.DataField
  Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.Discretize
  Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.MapValues
  Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.ParameterField
  Sets the value of the dataType property.
setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.ResultField
  Sets the value of the dataType property.
setDataType(int) - Method in class weka.gui.beans.xml.XMLBeans
  sets what kind of data is to be read/written
setDataUsage(String) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the dataUsage property.
setDateAttributes(String) - Method in class weka.core.converters.CSVLoader
  Set the attribute range to be forced to type date.
setDateFormat(String) - Method in class weka.core.converters.CSVLoader
  Set the format to use for parsing date values.
setDateFormat(String) - Method in class weka.filters.unsupervised.attribute.Add
  Set the date format, complying to ISO-8601.
setDateFormat(String) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Sets the output date format.
setDateFormat(SimpleDateFormat) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Sets the output date format.
setDateFormat(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Set the date format to use for parsing the date replacement constant
setDateReplacementValue(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Set the date replacement value
setDB(boolean) - Method in class weka.gui.beans.Loader
setDebug(boolean) - Method in class weka.attributeSelection.CfsSubsetEval
  Set whether to output debugging info
setDebug(boolean) - Method in class weka.classifiers.AbstractClassifier
  Set debugging mode.
setDebug(boolean) - Method in class weka.classifiers.BVDecompose
  Sets debugging mode
setDebug(boolean) - Method in class weka.classifiers.BVDecomposeSegCVSub
  Sets debugging mode
setDebug(boolean) - Method in class weka.classifiers.functions.Logistic
  Sets whether debugging output will be printed.
setDebug(boolean) - Method in class weka.classifiers.functions.supportVector.Kernel
  Enables or disables the output of debug information (if the derived kernel supports that)
setDebug(boolean) - Method in class weka.classifiers.meta.MultiScheme
  Set debugging mode
setDebug(boolean) - Method in class weka.classifiers.rules.JRip
  Sets whether debug information is output to the console
setDebug(boolean) - Method in class weka.clusterers.AbstractClusterer
  Set debugging mode.
setDebug(boolean) - Method in class weka.clusterers.EM
  Set debug mode - verbose output
setDebug(boolean) - Method in class weka.core.Check
  Set debugging mode
setDebug(boolean) - Method in class weka.core.converters.TextDirectoryLoader
  Sets whether to print some debug information.
setDebug(boolean) - Method in class weka.core.Debug.Random
  sets whether to print the generated random values or not
setDebug(boolean) - Method in class weka.core.Optimization
  Set whether in debug mode
setDebug(boolean) - Method in class weka.core.stopwords.AbstractStopwords
  Set debugging mode.
setDebug(boolean) - Method in class weka.datagenerators.DataGenerator
  Sets the debug flag.
setDebug(boolean) - Method in class weka.estimators.CheckEstimator
  Set debugging mode
setDebug(boolean) - Method in class weka.estimators.Estimator
  Set debugging mode.
setDebug(boolean) - Method in class weka.experiment.DatabaseUtils
  Sets whether there should be printed some debugging output to stderr or not.
setDebug(boolean) - Method in class weka.filters.Filter
  Set debugging mode.
setDebug(boolean) - Method in class weka.filters.unsupervised.attribute.AddExpression
  Set debug mode.
setDebug(boolean) - Method in class weka.gui.scripting.ScriptingPanel
  Turns on/off debugging mode.
setDebug(boolean) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
  sets debug mode on/off.
setDebug(boolean) - Method in class weka.gui.streams.InstanceCounter
setDebug(boolean) - Method in class weka.gui.streams.InstanceJoiner
setDebug(boolean) - Method in class weka.gui.streams.InstanceLoader
setDebug(boolean) - Method in class weka.gui.streams.InstanceSavePanel
setDebug(boolean) - Method in class weka.gui.streams.InstanceTable
setDebug(boolean) - Method in class weka.gui.streams.InstanceViewer
setDebuggingOutput(boolean) - Method in class weka.attributeSelection.GreedyStepwise
  Set whether to output debugging info to the console
setDecay(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
setDecimals(int) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Set the number of decimals to round to.
setDecisions(Decisions) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the decisions property.
setDefaultChild(String) - Method in class weka.core.pmml.jaxbbindings.Node
  Sets the value of the defaultChild property.
setDefaultConfidence(Double) - Method in class weka.core.pmml.jaxbbindings.RuleSet
  Sets the value of the defaultConfidence property.
setDefaultScore(String) - Method in class weka.core.pmml.jaxbbindings.RuleSet
  Sets the value of the defaultScore property.
setDefaultValue(String) - Method in class weka.core.pmml.jaxbbindings.Discretize
  Sets the value of the defaultValue property.
setDefaultValue(BigInteger) - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
  Sets the value of the defaultValue property.
setDefaultValue(String) - Method in class weka.core.pmml.jaxbbindings.MapValues
  Sets the value of the defaultValue property.
setDefaultValue(Double) - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
  Sets the value of the defaultValue property.
setDefaultValue(Double) - Method in class weka.core.pmml.jaxbbindings.TargetValue
  Sets the value of the defaultValue property.
setDefaultValue() - Method in class weka.gui.GenericObjectEditor
  Sets the current object to be the default, taken as the first item in the chooser.
setDegree(Double) - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
  Sets the value of the degree property.
setDegreesOfFreedom(double) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Sets the value of the degreesOfFreedom property.
setDegreesOfFreedom(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the degreesOfFreedom property.
setDegreesOfFreedom(int) - Method in class weka.experiment.PairedStats
  Sets the degrees of freedom (if calibration is required).
setDeleteEmptyBins(boolean) - Method in class weka.classifiers.meta.RegressionByDiscretization
  Sets whether to delete empty bins.
setDelimiter(DELIMITER2) - Method in class weka.core.pmml.jaxbbindings.Delimiter
  Sets the value of the delimiter property.
setDelimiters(String) - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
  Set the value of delimiters.
setDelimiters(String) - Method in class weka.gui.scripting.SyntaxDocument
  Sets the delimiter characters to use.
setDelta(double) - Method in class weka.associations.Apriori
  Set the value of delta.
setDelta(double) - Method in class weka.associations.FPGrowth
  Set the value of delta.
setDelta(double) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
  Sets the m_fDelta.
setDelta(double) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
  Sets the m_fDelta.
setDelta(Double) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
  Sets the value of the delta property.
setDensityBasedClusterer(DensityBasedClusterer) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Set the clusterer for use in filtering
setDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.BayesInput
  Sets the value of the derivedField property.
setDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.NeuralInput
  Sets the value of the derivedField property.
setDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
  Sets the value of the derivedField property.
setDescendantPopulationSize(int) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
setDescendantPopulationSize(int) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.Decision
  Sets the value of the description property.
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.Decisions
  Sets the value of the description property.
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.Header
  Sets the value of the description property.
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.LinearKernelType
  Sets the value of the description property.
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
  Sets the value of the description property.
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
  Sets the value of the description property.
setDescription(String) - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
  Sets the value of the description property.
setDesign(boolean) - Method in class weka.gui.beans.AttributeSummarizer
  Set whether the appearance of this bean should be design or application
setDesiredWeightOfInstancesPerInterval(double) - Method in class weka.filters.unsupervised.attribute.Discretize
  Set the DesiredWeightOfInstancesPerInterval value.
setDestination(File) - Method in class weka.core.converters.AbstractFileSaver
  Sets the destination file (and directories if necessary).
setDestination(OutputStream) - Method in class weka.core.converters.AbstractFileSaver
  Sets the destination output stream.
setDestination(File) - Method in class weka.core.converters.AbstractSaver
  Default implementation throws an IOException.
setDestination(OutputStream) - Method in class weka.core.converters.AbstractSaver
  Default implementation throws an IOException.
setDestination(OutputStream) - Method in class weka.core.converters.ArffSaver
  Sets the destination output stream.
setDestination(String, String, String) - Method in class weka.core.converters.DatabaseSaver
  Sets the database url.
setDestination(String) - Method in class weka.core.converters.DatabaseSaver
  Sets the database url.
setDestination() - Method in class weka.core.converters.DatabaseSaver
  Sets the database url using the DatabaseUtils file.
setDestination(OutputStream) - Method in class weka.core.converters.JSONSaver
  Sets the destination output stream.
setDestination(File) - Method in interface weka.core.converters.Saver
  Resets the Saver object and sets the destination to be the supplied File object.
setDestination(OutputStream) - Method in interface weka.core.converters.Saver
  Resets the Saver object and sets the destination to be the supplied InputStream.
setDestination(OutputStream) - Method in class weka.core.converters.SerializedInstancesSaver
  Sets the destination output stream.
setDestination(OutputStream) - Method in class weka.core.converters.XRFFSaver
  Sets the destination output stream.
setDetectionPerAttribute(boolean) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Set whether an Outlier/ExtremeValue attribute pair is generated for each numeric attribute ("true") or just one pair for all numeric attributes together ("false").
setDF(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the df property.
setDf(BigInteger) - Method in class weka.core.pmml.jaxbbindings.PCell
  Sets the value of the df property.
setDiagDefault(Double) - Method in class weka.core.pmml.jaxbbindings.Matrix
  Sets the value of the diagDefault property.
setDir(String) - Method in class weka.core.converters.AbstractFileSaver
  Sets the directory where the instances should be stored
setDir(String) - Method in class weka.core.converters.AbstractSaver
  Default implementation throws an IOException.
setDir(String) - Method in interface weka.core.converters.Saver
  Sets the directory of the output file.
setDir(String) - Method in class weka.core.Javadoc
  sets the dir containing the file that is to be updated.
setDirAndPrefix(String, String) - Method in class weka.core.converters.AbstractFileSaver
  Sets the directory and the file prefix.
setDirAndPrefix(String, String) - Method in class weka.core.converters.AbstractSaver
  Default implementation throws an IOException.
setDirAndPrefix(String, String) - Method in interface weka.core.converters.Saver
  Sets the file prefix and the directory.
setDirection(SelectedTag) - Method in class weka.attributeSelection.BestFirst
  Set the search direction
setDirectory(File) - Method in class weka.core.converters.TextDirectoryLoader
  sets the source directory
setDirectory(File) - Method in class weka.gui.beans.SerializedModelSaver
  Set the directory that the model(s) will be saved into.
setDiscardPredictions(boolean) - Method in class weka.classifiers.evaluation.Evaluation
  Sets whether to discard predictions, ie, not storing them for future reference via predictions() method in order to conserve memory.
setDiscardPredictions(boolean) - Method in class weka.classifiers.Evaluation
  Sets whether to discard predictions, ie, not storing them for future reference via predictions() method in order to conserve memory.
setDiscretize(Discretize) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Sets the value of the discretize property.
setDiscretize(Discretize) - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Sets the value of the discretize property.
setDiscretize(Discretize) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the discretize property.
setDiscrStats(DiscrStats) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Sets the value of the discrStats property.
setDisplayConnectors(boolean) - Method in class weka.gui.beans.BeanVisual
  Turn on/off the connector points
setDisplayConnectors(boolean, Color) - Method in class weka.gui.beans.BeanVisual
  Turn on/off the connector points
setDisplayedFromDialog() - Method in class weka.gui.experiment.ResultsPanel
setDisplayedResultsets(int[]) - Method in class weka.experiment.PairedTTester
  Sets the indicies of the datasets to display (`null` means all).
setDisplayedResultsets(int[]) - Method in interface weka.experiment.Tester
  Sets the indicies of the datasets to display (`null` means all).
setDisplayModelInOldFormat(boolean) - Method in class weka.classifiers.bayes.NaiveBayes
  Set whether to display model output in the old, original format.
setDisplayModelInOldFormat(boolean) - Method in class weka.clusterers.EM
  Set whether to display model output in the old, original format.
setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.DataField
  Sets the value of the displayName property.
setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Sets the value of the displayName property.
setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the displayName property.
setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.ResultField
  Sets the value of the displayName property.
setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
  Sets the value of the displayName property.
setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.TimeCycle
  Sets the value of the displayName property.
setDisplayRules(boolean) - Method in class weka.classifiers.rules.DecisionTable
  Sets whether rules are to be printed
setDisplayStdDevs(boolean) - Method in class weka.clusterers.SimpleKMeans
  Sets whether standard deviations and nominal count.
setDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.Decision
  Sets the value of the displayValue property.
setDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.TargetValue
  Sets the value of the displayValue property.
setDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.Value
  Sets the value of the displayValue property.
setDistance(DistanceFunction) - Method in class weka.core.FilteredDistance
  Sets the distance
setDistanceFunction(DistanceFunction) - Method in class weka.clusterers.HierarchicalClusterer
setDistanceFunction(DistanceFunction) - Method in class weka.clusterers.SimpleKMeans
  sets the distance function to use for instance comparison.
setDistanceFunction(DistanceFunction) - Method in class weka.core.neighboursearch.CoverTree
  Sets the distance function to use for nearest neighbour search.
setDistanceFunction(DistanceFunction) - Method in class weka.core.neighboursearch.KDTree
  sets the distance function to use for nearest neighbour search.
setDistanceFunction(DistanceFunction) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  sets the distance function to use for nearest neighbour search.
setDistanceIsBranchLength(boolean) - Method in class weka.clusterers.HierarchicalClusterer
setDistanceWeighting(SelectedTag) - Method in class weka.classifiers.lazy.IBk
  Sets the distance weighting method used.
setDistMult(double) - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Sets the distance multiplier.
setDistParameter(Double) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the distParameter property.
setDistribution(String, double[][]) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  specify distribution of a node
setDistribution(int, double[][]) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  specify distribution of a node
setDistribution(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the distribution property.
setDistribution(SelectedTag) - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Sets the distribution to use for calculating the random matrix
setDistributionSpread(double) - Method in class weka.filters.supervised.instance.SpreadSubsample
  Sets the value for the distribution spread
setDocType(String) - Method in class weka.core.xml.XMLDocument
  sets the DOCTYPE-String to use in the XML output.
setDocument(Document) - Method in class weka.core.xml.XMLDocument
  sets the DOM document to use.
setDocument(JTextPane) - Method in class weka.gui.DocumentPrinting
  Sets the document from the given JTextPane.
setDocument(String, Document) - Method in class weka.gui.DocumentPrinting
  Sets the document and the according content type.
setDocumentNormalization(String) - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
  Sets the value of the documentNormalization property.
setDoNotCheckCapabilities(boolean) - Method in class weka.associations.AbstractAssociator
  Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.attributeSelection.ASEvaluation
  Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.classifiers.AbstractClassifier
  Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.classifiers.functions.supportVector.Kernel
  Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.clusterers.AbstractClusterer
  Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in interface weka.core.CapabilitiesIgnorer
  If argument is true, capabilities are not actually checked to improve runtime.
setDoNotCheckCapabilities(boolean) - Method in class weka.core.converters.AbstractSaver
  Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.core.FindWithCapabilities
  Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.estimators.Estimator
  Set whether not to check capabilities.
setDoNotCheckCapabilities(boolean) - Method in class weka.filters.Filter
  Set whether not to check capabilities.
setDoNotMakeSplitPointActualValue(boolean) - Method in class weka.classifiers.rules.PART
  Sets the value of doNotMakeSplitPointActualValue.
setDoNotMakeSplitPointActualValue(boolean) - Method in class weka.classifiers.trees.J48
  Sets the value of doNotMakeSplitPointActualValue.
setDoNotMakeSplitPointActualValue(boolean) - Method in class weka.classifiers.trees.LMT
  Sets the value of doNotMakeSplitPointActualValue.
setDoNotOperateOnPerClassBasis(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Set the DoNotOperateOnPerClassBasis value.
setDoNotPrintModels(boolean) - Method in class weka.classifiers.meta.Vote
  Set whether to print the individual ensemble models in the output
setDontCalculateOutOfBagError(boolean) - Method in class weka.classifiers.trees.RandomForest
  Set whether to turn off the calculation of out of bag error
setDontFilterAfterFirstBatch(boolean) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Set whether to apply the filter to instances that arrive once the first (training) batch has been seen.
setDontNormalize(boolean) - Method in class weka.classifiers.functions.SGD
  Turn normalization off/on.
setDontNormalize(boolean) - Method in class weka.core.NormalizableDistance
  Sets whether if the attribute values are to be normalized in distance calculation.
setDontReplaceMissing(boolean) - Method in class weka.classifiers.functions.SGD
  Turn global replacement of missing values off/on.
setDontReplaceMissingValues(boolean) - Method in class weka.clusterers.Canopy
  Sets whether missing values are to be replaced.
setDontReplaceMissingValues(boolean) - Method in class weka.clusterers.SimpleKMeans
  Sets whether missing values are to be replaced.
setDontShowDialog(String) - Static method in class weka.core.Utils
  Specify that the named dialog is not to be displayed in the future.
setDontShowDialogResponse(String, String) - Static method in class weka.core.Utils
  Specify that the named dialog is not to be shown again in the future.
setEditable(boolean) - Method in class weka.gui.beans.EnvironmentField
  Set the editable status of the combo box.
setEditedStatus(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setEditedStatus(int, boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setElement(int, int, double) - Method in class weka.classifiers.CostMatrix
  Set the value of a cell as a double
setElement(int, double) - Method in class weka.core.AlgVector
  Sets an element of the matrix to the given value.
setElement(int, int, double) - Method in class weka.core.Matrix
  Deprecated.
  Sets an element of the matrix to the given value.
setElementAt(E, int) - Method in class weka.core.FastVector
  Deprecated.
  Sets the element at the given index.
setElementAt(Object, int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Sets the component at the specified index of this list to be the specified object.
setElements(double[]) - Method in class weka.core.AlgVector
  Sets the elements of the vector to values of the given array.
setEliminateColinearAttributes(boolean) - Method in class weka.classifiers.functions.LinearRegression
  Set the value of EliminateColinearAttributes.
setEnabled(boolean) - Method in class weka.core.Debug
  sets whether the logging is enabled or not
setEnabled(boolean) - Method in class weka.core.Memory
  sets whether the memory management is enabled
setEnabled(boolean) - Method in class weka.gui.beans.EnvironmentField
  Set the enabled status of the combo box.
setEnabled(boolean) - Method in class weka.gui.beans.FileEnvironmentField
  Set the enabled status of the combo box and button
setEnabled(boolean) - Method in class weka.gui.GenericObjectEditor
  Sets whether the editor is "enabled", meaning that the current values will be painted.
setEnabled(boolean) - Method in class weka.gui.PropertyPanel
  Passes on enabled/disabled status to the custom panel (if one is set).
setEnclosureCharacters(String) - Method in class weka.core.converters.CSVLoader
  Set the character(s) to use/recognize as string enclosures
setEndTime(Double) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
  Sets the value of the endTime property.
setEndTimeVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the endTimeVariable property.
setEntropicAutoBlend(boolean) - Method in class weka.classifiers.lazy.KStar
  Set whether entropic blending is to be used.
setEnumerateColNames(boolean) - Method in class weka.experiment.ResultMatrix
  sets whether the column names are prefixed with "(x)" where "x" is the index.
setEnumerateRowNames(boolean) - Method in class weka.experiment.ResultMatrix
  sets whether to the row names are prefixed with the index.
setEnvironment(Environment) - Method in class weka.classifiers.meta.Vote
  Set environment variable values to substitute in the paths of serialized models to load
setEnvironment(Environment) - Method in class weka.classifiers.misc.InputMappedClassifier
  Set the environment variables to use
setEnvironment(Environment) - Method in class weka.core.converters.AbstractFileLoader
  Set the environment variables to use.
setEnvironment(Environment) - Method in class weka.core.converters.AbstractFileSaver
  Set the environment variables to use.
setEnvironment(Environment) - Method in class weka.core.converters.DatabaseLoader
  Set the environment variables to use.
setEnvironment(Environment) - Method in class weka.core.converters.DatabaseSaver
  Set the environment variables to use.
setEnvironment(Environment) - Method in interface weka.core.EnvironmentHandler
  Set environment variables to use.
setEnvironment(Environment) - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Set environment varialbes to use
setEnvironment(Environment) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
setEnvironment(Environment) - Method in class weka.gui.beans.Associator
  Set environment variables to use.
setEnvironment(Environment) - Method in class weka.gui.beans.AttributeSummarizerCustomizer
  Set the environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.Classifier
  Set environment variables to pass on to the classifier (if if is an EnvironmentHandler)
setEnvironment(Environment) - Method in class weka.gui.beans.ClassifierCustomizer
  Set any environment variables to pass to the PropertySheetPanel
setEnvironment(Environment) - Method in class weka.gui.beans.DataVisualizer
setEnvironment(Environment) - Method in class weka.gui.beans.DataVisualizerCustomizer
  Set the environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.EnvironmentField
  Set the environment variables to display in the drop down list.
setEnvironment(Environment) - Method in class weka.gui.beans.FlowByExpression
setEnvironment(Environment) - Method in class weka.gui.beans.FlowByExpressionCustomizer
setEnvironment(Environment) - Method in class weka.gui.beans.FlowRunner
  Set the environment variables to use.
setEnvironment(Environment) - Method in class weka.gui.beans.ImageSaver
  Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.ImageSaverCustomizer
  Set the environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.Join
  Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.JoinCustomizer
setEnvironment(Environment) - Method in class weka.gui.beans.KnowledgeFlowApp
  Set the environment variables to use.
setEnvironment(Environment) - Method in class weka.gui.beans.Loader
  Set environment variables to use.
setEnvironment(Environment) - Method in class weka.gui.beans.LoaderCustomizer
setEnvironment(Environment) - Method in class weka.gui.beans.ModelPerformanceChart
setEnvironment(Environment) - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
  Set the environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.Saver
  Set environment variables to use.
setEnvironment(Environment) - Method in class weka.gui.beans.SaverCustomizer
setEnvironment(Environment) - Method in class weka.gui.beans.SerializedModelSaver
  Set environment variables to use.
setEnvironment(Environment) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
setEnvironment(Environment) - Method in class weka.gui.beans.Sorter
  Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.SorterCustomizer
  Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.SubstringLabeler
  Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.SubstringLabelerCustomizer
  Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.SubstringLabelerRules
setEnvironment(Environment) - Method in class weka.gui.beans.SubstringReplacer
  Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.SubstringReplacerCustomizer
  Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.SubstringReplacerRules
setEnvironment(Environment) - Method in class weka.gui.beans.TextSaver
  Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.beans.TextSaverCustomizer
  Set the environment variables to use
setEnvironment(Environment) - Method in class weka.gui.filters.AddUserFieldsCustomizer
  Set environment variables to use
setEnvironment(Environment) - Method in class weka.gui.PropertySheetPanel
  Set environment variables to pass on to any editor that can use them
setEpochs(int) - Method in class weka.classifiers.functions.SGD
  Set the number of epochs to use
setEpochs(int) - Method in class weka.classifiers.functions.SGDText
  Set the number of epochs to use
setEpsilon(double) - Method in class weka.classifiers.functions.SGD
  Set the epsilon threshold on the error for epsilon insensitive and Huber loss functions
setEpsilon(double) - Method in class weka.classifiers.functions.SMO
  Set the value of epsilon.
setEpsilon(double) - Method in class weka.classifiers.functions.supportVector.RegSMO
  Set the value of epsilon.
setEpsilonParameter(double) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  Set the value of epsilon parameter of the epsilon insensitive loss function.
setErrorOnProbabilities(boolean) - Method in class weka.classifiers.functions.SimpleLogistic
  Set the value of errorOnProbabilities.
setErrorOnProbabilities(boolean) - Method in class weka.classifiers.trees.LMT
  Set the value of errorOnProbabilities.
setErrorPlotPointSizeProportionalToMargin(boolean) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Set whether the point size on classification error plots should be proportional to the prediction margin.
setEstimator(BayesNetEstimator) - Method in class weka.classifiers.bayes.BayesNet
  Set the Estimator Algorithm used in calculating the CPTs
setEstimator(UnivariateDensityEstimator) - Method in class weka.classifiers.meta.RegressionByDiscretization
  Set the estimator
setEstimator(Estimator) - Method in class weka.estimators.CheckEstimator
  Set the estimator for boosting.
setEuclidean(Euclidean) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the euclidean property.
setEuclideanDistanceFunction(EuclideanDistance) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
  Sets the distance function used to (or to be used to) build the tree.
setEuclideanDistanceFunction(EuclideanDistance) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Sets the distance function to use to build the tree.
setEuclideanDistanceFunction(EuclideanDistance) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Sets the EuclideanDistance object to use for splitting nodes.
setEvaluation(Evaluation) - Method in class weka.classifiers.evaluation.EvaluationMetricHelper
  Sets the Evaluation object to use
setEvaluation(Evaluation) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Sets the Evaluation object to use.
setEvaluationMeasure(SelectedTag) - Method in class weka.attributeSelection.WrapperSubsetEval
  Sets the performance evaluation measure to use for selecting attributes for the decision table
setEvaluationMeasure(SelectedTag) - Method in class weka.classifiers.rules.DecisionTable
  Sets the performance evaluation measure to use for selecting attributes for the decision table
setEvaluationMetric(SelectedTag) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Set the evaluation metric to use
setEvaluationMetricsToOutput(String) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Set the evaluation metrics to output (as a comma-separated list).
setEvaluator(ASEvaluation) - Method in class weka.attributeSelection.AttributeSelection
  set the attribute/subset evaluator
setEvaluator(ASEvaluation) - Method in class weka.attributeSelection.CheckAttributeSelection
  Set the evaluator to test.
setEvaluator(ASEvaluation) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Sets the attribute evaluator
setEvaluator(ASEvaluation) - Method in class weka.filters.supervised.attribute.AttributeSelection
  set attribute/subset evaluator
setEvalUsingTrainingData(boolean) - Method in class weka.attributeSelection.OneRAttributeEval
  Use the training data to evaluate attributes rather than cross validation
setEvidence(int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  set evidence state of a node.
setEvidence(int, int) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
setEvidence(int, int) - Method in class weka.classifiers.bayes.net.MarginCalculator
setExecuting(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setExecuting(int, boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setExecutionSlots(int) - Method in class weka.gui.beans.Classifier
  Set the number of execution slots (threads) to use to train models with.
setExecutionSlots(int) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Set the number of executions slots to use.
setExecutionStatus(int) - Method in class weka.experiment.TaskStatusInfo
  Set the execution status of this Task.
setExecutionThread(KnowledgeFlowApp.RunThread) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setExecutionThread(int, KnowledgeFlowApp.RunThread) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setExitIfNoWindowsOpen(boolean) - Static method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Sets whether System.exit gets called when no more windows are open.
setExitOnClose(boolean) - Method in class weka.gui.arffviewer.ArffViewer
  whether to do a System.exit(0) on close
setExitOnClose(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  whether to do a System.exit(0) on close
setExpectedResultsPerAverage(int) - Method in class weka.experiment.AveragingResultProducer
  Set the value of ExpectedResultsPerAverage.
setExperiment(Experiment) - Method in class weka.experiment.RemoteExperimentSubTask
  Set the experiment for this sub task
setExperiment(Experiment) - Method in class weka.gui.experiment.AlgorithmListPanel
  Tells the panel to act on a new experiment.
setExperiment(Experiment) - Method in class weka.gui.experiment.DatasetListPanel
  Tells the panel to act on a new experiment.
setExperiment(Experiment) - Method in class weka.gui.experiment.DistributeExperimentPanel
  Sets the experiment to be configured.
setExperiment(Experiment) - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
  Sets the experiment which will have the custom properties edited.
setExperiment(RemoteExperiment) - Method in class weka.gui.experiment.HostListPanel
  Tells the panel to act on a new experiment.
setExperiment(Experiment) - Method in class weka.gui.experiment.ResultsPanel
  Tells the panel to use a new experiment.
setExperiment(Experiment) - Method in class weka.gui.experiment.RunNumberPanel
  Sets the experiment to be configured.
setExperiment(Experiment) - Method in class weka.gui.experiment.RunPanel
  Sets the experiment the panel operates on.
setExperiment(Experiment) - Method in class weka.gui.experiment.SetupPanel
  Sets the experiment to configure.
setExperiment(Experiment) - Method in class weka.gui.experiment.SimpleSetupPanel
  Sets the experiment to configure.
setExplicitPropsFile(boolean) - Method in class weka.gui.GenericPropertiesCreator
  if FALSE, the locating of a props-file of the Utils-class is used, otherwise it's tried to load the specified file
setExplorer(Explorer) - Method in class weka.gui.explorer.AssociationsPanel
  Sets the Explorer to use as parent frame (used for sending notifications about changes in the data)
setExplorer(Explorer) - Method in class weka.gui.explorer.AttributeSelectionPanel
  Sets the Explorer to use as parent frame (used for sending notifications about changes in the data)
setExplorer(Explorer) - Method in class weka.gui.explorer.ClassifierPanel
  Sets the Explorer to use as parent frame (used for sending notifications about changes in the data).
setExplorer(Explorer) - Method in class weka.gui.explorer.ClustererPanel
  Sets the Explorer to use as parent frame (used for sending notifications about changes in the data)
setExplorer(Explorer) - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
  Sets the Explorer to use as parent frame (used for sending notifications about changes in the data)
setExplorer(Explorer) - Method in class weka.gui.explorer.PreprocessPanel
  Sets the Explorer to use as parent frame (used for sending notifications about changes in the data)
setExplorer(Explorer) - Method in class weka.gui.explorer.VisualizePanel
  Sets the Explorer to use as parent frame (used for sending notifications about changes in the data)
setExponent(double) - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
  Sets the exponent value (must be different from 1.0).
setExponent(double) - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Sets the exponent value.
setExponent(double) - Method in class weka.classifiers.functions.VotedPerceptron
  Set the value of exponent.
setExponent(BigInteger) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the exponent property.
setExponent(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
  Sets the value of the exponent property.
setExpression(String) - Method in class weka.datagenerators.classifiers.regression.Expression
  Sets the mathematical expression to generate y out of x.
setExpression(String) - Method in class weka.filters.unsupervised.attribute.AddExpression
  Set the expression to apply
setExpression(String) - Method in class weka.filters.unsupervised.attribute.MathExpression
  Set the expression to apply
setExpression(String) - Method in class weka.filters.unsupervised.attribute.RemoveByName
  Sets the regular expression to match the attribute names against.
setExpression(String) - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Sets the expression used for filtering.
setExpressionString(String) - Method in class weka.gui.beans.FlowByExpression
  Set the expression (in internal format)
setExtender(String) - Method in class weka.core.pmml.jaxbbindings.Extension
  Sets the value of the extender property.
setExtremeValuesAsOutliers(boolean) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Set whether extreme values are also tagged as outliers.
setExtremeValuesFactor(double) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Sets the factor for determining the thresholds for extreme values.
setFalse(False) - Method in class weka.core.pmml.jaxbbindings.Attribute
  Sets the value of the false property.
setFalse(False) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
  Sets the value of the false property.
setFalse(False) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the false property.
setFalse(False) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Sets the value of the false property.
setFalseNegative(double) - Method in class weka.classifiers.evaluation.TwoClassStats
  Sets the number of positive instances predicted as negative
setFalsePositive(double) - Method in class weka.classifiers.evaluation.TwoClassStats
  Sets the number of negative instances predicted as positive
setFalseStepName(String) - Method in class weka.gui.beans.FlowByExpression
  Set the name of the connected step to send "false" instances to
setFastDistanceCalc(boolean) - Method in class weka.clusterers.SimpleKMeans
  Sets whether to use faster distance calculation.
setFastRegression(boolean) - Method in class weka.classifiers.trees.LMT
  Set the value of fastRegression.
setFeature(RESULTFEATURE) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the feature property.
setFeature(RESULTFEATURE) - Method in class weka.core.pmml.jaxbbindings.ResultField
  Sets the value of the feature property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.Aggregate
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.Discretize
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.FieldRef
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.FieldValue
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.InstanceField
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.KNNInput
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.NormContinuous
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.SetPredicate
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.Target
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Sets the value of the field property.
setField(String) - Method in class weka.core.pmml.jaxbbindings.VerificationField
  Sets the value of the field property.
setFieldCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.ModelVerification
  Sets the value of the fieldCount property.
setFieldCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Sets the value of the fieldCount property.
setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.DerivedFieldMetaInfo
  Upadate the field definitions for this derived field
setFieldDefs(Instances) - Method in class weka.core.pmml.DerivedFieldMetaInfo
  Upadate the field definitions for this derived field
setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.Discretize
  Set the field definitions for this Expression to use
setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.Expression
  Set the field definitions for this Expression to use
setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.FieldRef
setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.NormContinuous
  Set the field definitions for this Expression to use
setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.NormDiscrete
  Set the field definitions for this Expression to use
setFieldName(String) - Method in class weka.core.pmml.jaxbbindings.BayesInput
  Sets the value of the fieldName property.
setFieldName(String) - Method in class weka.core.pmml.jaxbbindings.BayesOutput
  Sets the value of the fieldName property.
setFieldRef(FieldRef) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Sets the value of the fieldRef property.
setFieldRef(FieldRef) - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Sets the value of the fieldRef property.
setFieldRef(FieldRef) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the fieldRef property.
setFieldSeparator(String) - Method in class weka.core.converters.CSVLoader
  Sets the character used as column separator.
setFieldSeparator(String) - Method in class weka.core.converters.CSVSaver
  Sets the character used as column separator.
setFieldWeight(Double) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Sets the value of the fieldWeight property.
setFieldWeight(Double) - Method in class weka.core.pmml.jaxbbindings.KNNInput
  Sets the value of the fieldWeight property.
setFile(File) - Method in class weka.core.converters.AbstractFileLoader
  sets the source File
setFile(File) - Method in class weka.core.converters.AbstractFileSaver
  Sets the destination file.
setFile(File) - Method in class weka.core.converters.AbstractSaver
  Default implementation throws an IOException.
setFile(File) - Method in class weka.core.converters.ArffLoader
  sets the source File
setFile(File) - Method in class weka.core.converters.ArffSaver
  Sets the destination file.
setFile(File) - Method in interface weka.core.converters.FileSourcedConverter
  Set the file to load from/ to save in
setFile(File) - Method in class weka.core.converters.JSONSaver
  Sets the destination file.
setFile(File) - Method in interface weka.core.converters.Saver
  Sets the output file
setFile(File) - Method in class weka.core.converters.XRFFSaver
  Sets the destination file.
setFile(String) - Method in class weka.core.pmml.jaxbbindings.TextDocument
  Sets the value of the file property.
setFile(File) - Method in class weka.gui.visualize.JComponentWriter
  sets the file to store the output in
setFileFormat(Tag) - Method in class weka.gui.beans.SerializedModelSaver
  Set the file format to use for saving.
setFileMustExist(boolean) - Method in class weka.gui.ConverterFileChooser
  Whether the selected file must exst (only open dialog).
setFilename(String) - Method in class weka.core.FindWithCapabilities
  Sets the dataset filename to base the capabilities on.
setFilename(String) - Method in class weka.gui.arffviewer.ArffPanel
  sets the filename
setFilename(int, String) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  sets the filename of the specified panel
setFilename(String) - Method in class weka.gui.beans.ImageSaver
  Set the filename to save to
setFilename(String) - Method in class weka.gui.beans.TextSaver
  Set the filename to save to
setFilePrefix(String) - Method in class weka.core.converters.AbstractFileSaver
  Sets the file name prefix
setFilePrefix(String) - Method in class weka.core.converters.AbstractSaver
  Default implementation throws an IOException.
setFilePrefix(String) - Method in interface weka.core.converters.Saver
  Sets the file prefix.
setFillWithMissing(boolean) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Sets whether missing values should be used rather than removing instances where the translated value is not known (due to border effects).
setFilter(Filter) - Method in class weka.associations.FilteredAssociator
  Sets the filter
setFilter(Filter) - Method in class weka.classifiers.meta.FilteredClassifier
  Sets the filter
setFilter(Filter) - Method in class weka.clusterers.FilteredClusterer
  Sets the filter.
setFilter(Filter) - Method in class weka.core.FilteredDistance
  Sets the filter
setFilter(Filter) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Sets the filter
setFilter(Filter) - Method in class weka.filters.CheckSource
  Sets the filter to use for the comparison.
setFilter(Filter) - Method in class weka.gui.beans.Filter
  Set the filter to be wrapped by this bean
setFilterAfterFirstBatch(boolean) - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Set whether to apply the filter to instances that arrive once the first (training) batch has been seen.
setFilters(Filter[]) - Method in class weka.filters.MultiFilter
  Sets the list of possible filters to choose from.
setFilters(Filter[]) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Sets the list of possible filters to choose from.
setFilterType(SelectedTag) - Method in class weka.classifiers.functions.GaussianProcesses
  Sets how the training data will be transformed.
setFilterType(SelectedTag) - Method in class weka.classifiers.functions.SMO
  Sets how the training data will be transformed.
setFilterType(SelectedTag) - Method in class weka.classifiers.functions.SMOreg
  Sets how the training data will be transformed.
setFind(String) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Sets the regular expression that the attribute names must match.
setFindAllRulesForSupportLevel(boolean) - Method in class weka.associations.FPGrowth
  If true then turn off the iterative support reduction method of finding x rules that meet the minimum support and metric thresholds and just return all the rules that meet the lower bound on minimum support and the minimum metric.
setFindNumBins(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
  Set the value of FindNumBins.
setFindNumBins(boolean) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Set the value of FindNumBins.
setFirstValueIndex(String) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Sets index of the first value used.
setFirstValueIndex(String) - Method in class weka.filters.unsupervised.attribute.SwapValues
  Sets index of the first value used.
setFlow(Vector<Vector<?>>) - Method in class weka.gui.beans.KnowledgeFlowApp
  Set the flow for the KnowledgeFlow to edit.
setFlowFile(File) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setFlowFile(int, File) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setFlows(Vector<Object>) - Method in class weka.gui.beans.FlowRunner
  Set the vector holding the flows(s) to run
setFocus() - Method in class weka.gui.sql.ConnectionPanel
  sets the focus in a designated control.
setFocus() - Method in class weka.gui.sql.InfoPanel
  sets the focus in a designated control
setFocus() - Method in class weka.gui.sql.QueryPanel
  sets the focus in a designated control.
setFocus() - Method in class weka.gui.sql.ResultPanel
  sets the focus in a designated control
setFold(int) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Selects a fold.
setFold(int) - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Selects a fold.
setFoldColumn(int) - Method in class weka.experiment.PairedTTester
  Set the value of FoldColumn.
setFoldColumn(int) - Method in interface weka.experiment.Tester
  Set the value of FoldColumn.
setFolds(int) - Method in class weka.attributeSelection.AttributeSelection
  set the number of folds for cross validation
setFolds(int) - Method in class weka.attributeSelection.OneRAttributeEval
  Set the number of folds to use for cross validation
setFolds(int) - Method in class weka.attributeSelection.WrapperSubsetEval
  Set the number of folds to use for accuracy estimation
setFolds(int) - Method in class weka.classifiers.rules.JRip
  Sets the number of folds to use
setFolds(int) - Method in class weka.gui.beans.CrossValidationFoldMaker
  Set the number of folds for the cross validation
setFont(Font) - Method in class weka.gui.visualize.PostscriptGraphics
  Set current font.
setFontName(String) - Method in class weka.gui.scripting.SyntaxDocument
  sets the current font family (affects all built-in styles).
setFontSize(int) - Method in class weka.gui.scripting.SyntaxDocument
  sets the current font size (affects all built-in styles).
setFontSizeAdjust(int) - Method in class weka.gui.beans.Note
  set the font size adjustment
setFormat(String) - Method in class weka.core.Debug.Timestamp
  sets the format for the timestamp
setFrom(String) - Method in class weka.core.pmml.jaxbbindings.Con1
  Sets the value of the from property.
setFStatistic(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the fStatistic property.
setFStatistic(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the fStatistic property.
setFunction(String) - Method in class weka.core.pmml.jaxbbindings.Aggregate
  Sets the value of the function property.
setFunction(String) - Method in class weka.core.pmml.jaxbbindings.Apply
  Sets the value of the function property.
setFunction(SelectedTag) - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Sets the function for generating the data.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.BaselineModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.MiningModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.Regression
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.TextModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
  Sets the value of the functionName property.
setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Sets the value of the functionName property.
setFValue(Double) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Sets the value of the fValue property.
setGamma(double) - Method in class weka.classifiers.functions.supportVector.RBFKernel
  Sets the gamma value.
setGamma(Double) - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
  Sets the value of the gamma property.
setGamma(Double) - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
  Sets the value of the gamma property.
setGamma(Double) - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
  Sets the value of the gamma property.
setGamma(Double) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
  Sets the value of the gamma property.
setGap(GAP) - Method in class weka.core.pmml.jaxbbindings.Delimiter
  Sets the value of the gap property.
setGaussianDistribution(GaussianDistribution) - Method in class weka.core.pmml.jaxbbindings.Alternate
  Sets the value of the gaussianDistribution property.
setGaussianDistribution(GaussianDistribution) - Method in class weka.core.pmml.jaxbbindings.Baseline
  Sets the value of the gaussianDistribution property.
setGeneralRegressionModel(GeneralRegressionModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the generalRegressionModel property.
setGenerateRanking(boolean) - Method in class weka.attributeSelection.GreedyStepwise
  Records whether the user has requested a ranked list of attributes.
setGenerateRanking(boolean) - Method in interface weka.attributeSelection.RankedOutputSearch
  Sets whether or not ranking is to be performed.
setGenerateRanking(boolean) - Method in class weka.attributeSelection.Ranker
  This is a dummy set method---Ranker is ONLY capable of producing a ranked list of attributes for attribute evaluators.
setGenerator(DataGenerator) - Method in class weka.gui.explorer.DataGeneratorPanel
  sets the generator to use initially
setGeneratorSamplesBase(double) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Set the base for computing the number of samples to obtain from each generator.
setGeneratorSamplesBase(double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the base for computing the number of samples to obtain from each generator.
setGlobalBlend(int) - Method in class weka.classifiers.lazy.KStar
  Set the global blend parameter
setGlobalModel(NBTreeNoSplit) - Method in class weka.classifiers.trees.j48.NBTreeSplit
  Set the global naive bayes model for this node
setGlobalTermWeights(String) - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
  Sets the value of the globalTermWeights property.
setGracePeriod(double) - Method in class weka.classifiers.trees.HoeffdingTree
  Set the number of instances (or total weight of instances) a leaf should observe between split attempts
setGridWidth(int) - Method in class weka.gui.beans.AttributeSummarizer
  Set the width of the grid of plots
setGroupField(String) - Method in class weka.core.pmml.jaxbbindings.Aggregate
  Sets the value of the groupField property.
setGroupIdentifier(long) - Method in class weka.gui.beans.BatchClassifierEvent
setGUI(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
  This will set whether A GUI is brought up to allow interaction by the user with the neural network during training.
setGUIType(SelectedTag) - Method in class weka.gui.Main
  Sets the type of GUI to use.
setHandler(CapabilitiesHandler) - Method in class weka.core.FindWithCapabilities
  sets the Capabilities handler to generate the data for.
setHandler(CapabilitiesHandler) - Method in class weka.core.TestInstances
  sets the Capabilities handler to generate the data for
setHandleRightClicks(boolean) - Method in class weka.gui.ResultHistoryPanel
  Set whether the result history list should handle right clicks or whether the parent object will handle them.
setHeader(Instances) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Sets the header of the dataset.
setHeader(Header) - Method in class weka.core.pmml.jaxbbindings.PMML
  Sets the value of the header property.
setHeuristicStop(int) - Method in class weka.classifiers.functions.SimpleLogistic
  Set the value of heuristicStop.
setHeuristicStop(int) - Method in class weka.classifiers.trees.lmt.LogisticBase
  Sets the option "heuristicStop".
setHidden(boolean) - Method in class weka.gui.beans.BeanConnection
  Make this connection invisible on the display
setHiddenLayers(String) - Method in class weka.classifiers.functions.MultilayerPerceptron
  This will set what the hidden layers are made up of when auto build is enabled.
setHighlight(String) - Method in class weka.gui.treevisualizer.TreeVisualizer
  Set the highlight for the node with the given id
setHighlighted(boolean) - Method in class weka.gui.beans.Note
setHighValue(Double) - Method in class weka.core.pmml.jaxbbindings.MiningField
  Sets the value of the highValue property.
setHistory(DefaultListModel) - Method in class weka.gui.sql.ConnectionPanel
  sets the local history to the given one.
setHistory(DefaultListModel) - Method in class weka.gui.sql.QueryPanel
  sets the local history to the given one.
setHoeffdingTieThreshold(double) - Method in class weka.classifiers.trees.HoeffdingTree
  Set the threshold below which a split will be forced to break ties
setId(String) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Cluster
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Item
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Itemset
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.NeuralInput
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Neuron
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Node
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.Sequence
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.SetPredicate
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.TextDocument
  Sets the value of the id property.
setId(String) - Method in class weka.core.pmml.jaxbbindings.VectorInstance
  Sets the value of the id property.
setID(int) - Method in class weka.core.Tag
  Sets the numeric ID of the Tag.
setIDFTransform(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets whether if the word frequencies in a document should be transformed into:
  fij*log(num of Docs/num of Docs with word i)
  where fij is the frequency of word i in document(instance) j.
setIDIndex(String) - Method in class weka.filters.unsupervised.attribute.AddID
  Sets index of the attribute used.
setIDStr(String) - Method in class weka.core.Tag
  Sets the string ID of the Tag.
setIgnoreCase(boolean) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
setIgnoreCase(boolean) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Set whether to ignore case when matching
setIgnoreCase(boolean) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Set whether to ignore case when matching
setIgnoreCaseForNames(boolean) - Method in class weka.classifiers.misc.InputMappedClassifier
  Set whether to ignore case when matching attribute names and nominal values.
setIgnoreClass(boolean) - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
  Set the IgnoreClass value.
setIgnoredAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.AddCluster
  Sets the ranges of attributes to be ignored.
setIgnoredAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Sets the ranges of attributes to be ignored.
setIgnoredProperties(String) - Method in class weka.core.CheckGOE
  Sets the properties to ignore in checkToolTips().
setIgnoreRange(String) - Method in class weka.filters.unsupervised.attribute.MathExpression
  Set which attributes are to be ignored
setImportance(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MiningField
  Sets the value of the importance property.
setImportance(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the importance property.
setIncludeClass(boolean) - Method in class weka.core.InstanceComparator
  Sets whether the class should be included in the comparison.
setIncludeClass(boolean) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Sets whether the class can be cleaned, too.
setIncludeRelationName(boolean) - Method in class weka.gui.beans.SerializedModelSaver
  Set whether the relation name of the training data used to create the model should be included as part of the filename for the serialized model.
setIncrementalSaveSchedule(int) - Method in class weka.gui.beans.SerializedModelSaver
  Set how often to save incremental models.
setIndentationSize(int) - Method in class weka.gui.scripting.SyntaxDocument
  Sets the number of blanks to use for indentation.
setIndex(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeValue
  Sets the value of the index property.
setIndex(int) - Method in class weka.core.pmml.MiningFieldMetaInfo
  Set the index of this field in the mining schema Instances
setInfoData(Vector<Instances>) - Method in interface weka.gui.visualize.InstanceInfo
  Sets the underlying data.
setInfoData(Vector<Instances>) - Method in class weka.gui.visualize.InstanceInfoFrame
  Sets the underlying data.
setInfoText(String) - Method in interface weka.gui.visualize.InstanceInfo
  Sets the text to display.
setInfoText(String) - Method in class weka.gui.visualize.InstanceInfoFrame
  Sets the text to display.
setInitAsNaiveBayes(boolean) - Method in class weka.classifiers.bayes.net.search.global.HillClimber
  Sets whether to init as naive bayes
setInitAsNaiveBayes(boolean) - Method in class weka.classifiers.bayes.net.search.global.K2
  Sets whether to init as naive bayes
setInitAsNaiveBayes(boolean) - Method in class weka.classifiers.bayes.net.search.local.HillClimber
  Sets whether to init as naive bayes
setInitAsNaiveBayes(boolean) - Method in class weka.classifiers.bayes.net.search.local.K2
  Sets whether to init as naive bayes
setInitFile(File) - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Sets the file to initialize the filter with, can be null.
setInitFileClassIndex(String) - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Sets class index of the file to initialize the filter with.
setInitialAnchorRandom(boolean) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Sets whether if the initial anchor is chosen randomly.
setInitialCount(double) - Method in class weka.classifiers.trees.REPTree
  Set the value of InitialCount.
setInitializationMethod(SelectedTag) - Method in class weka.clusterers.SimpleKMeans
  Set the initialization method to use
setInitialScore(Double) - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Sets the value of the initialScore property.
setInitialSplitPaneDividerLocation() - Method in class weka.gui.PackageManager
  Setting the initial placement of the divider line on a JSplitPane is problematic.
setInlineTable(InlineTable) - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Sets the value of the inlineTable property.
setInlineTable(InlineTable) - Method in class weka.core.pmml.jaxbbindings.MapValues
  Sets the value of the inlineTable property.
setInlineTable(InlineTable) - Method in class weka.core.pmml.jaxbbindings.ModelVerification
  Sets the value of the inlineTable property.
setInlineTable(InlineTable) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Sets the value of the inlineTable property.
setInputFilename(String) - Method in class weka.gui.GenericPropertiesCreator
  sets the file to get the information about the packages from.
setInputFormat(Instances) - Method in class weka.filters.AllFilter
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.Filter
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.SimpleFilter
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.attribute.ClassOrder
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.attribute.Discretize
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.attribute.NominalToBinary
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.attribute.PartitionMembership
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.instance.Resample
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.instance.SpreadSubsample
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Add
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddCluster
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddExpression
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddID
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddNoise
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddValues
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Center
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Copy
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Discretize
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.FirstOrder
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.MathExpression
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NominalToString
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Normalize
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Obfuscate
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Remove
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RemoveType
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RemoveUseless
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Reorder
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Standardize
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.StringToNominal
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.SwapValues
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.Randomize
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveRange
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.Resample
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Sets the format of the input instances.
setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
  Sets the format of the input instances.
setInputOrder(SelectedTag) - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Sets the input order.
setInputs(Vector<Object>) - Method in class weka.gui.beans.MetaBean
setInsertDummyNominalFirstValue(boolean) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Set whether to insert a dummy first value in the definition for each nominal attribute or not.
setInstance(Instance) - Method in class weka.gui.beans.InstanceEvent
  Set the instance
setInstanceFields(InstanceFields) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Sets the value of the instanceFields property.
setInstanceIdVariable(String) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Sets the value of the instanceIdVariable property.
setInstanceList(int[]) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
  Sets the master index array containing indices of the training instances.
setInstanceList(int[]) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Sets the master index array that points to instances in m_Instances, so that only this array is manipulated, and m_Instances is left untouched.
setInstanceList(int[]) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Sets the master index array that points to instances in m_Instances, so that only this array is manipulated, and m_Instances is left untouched.
setInstanceList(int[]) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Sets the master index array containing indices of the training instances.
setInstanceRange(int) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Sets the number of instances forward to translate values between.
setInstances(Instances) - Method in class weka.core.converters.AbstractSaver
  Sets instances that should be stored.
setInstances(Instances) - Method in class weka.core.converters.JSONSaver
  Sets instances that should be stored.
setInstances(Instances) - Method in class weka.core.converters.LibSVMSaver
  Sets instances that should be stored.
setInstances(Instances) - Method in interface weka.core.converters.Saver
  Sets the instances to be saved
setInstances(Instances) - Method in class weka.core.converters.SVMLightSaver
  Sets instances that should be stored.
setInstances(Instances) - Method in class weka.core.converters.XRFFSaver
  Sets instances that should be stored.
setInstances(Instances) - Method in interface weka.core.DistanceFunction
  Sets the instances.
setInstances(Instances) - Method in class weka.core.FilteredDistance
  Sets the instances.
setInstances(Instances) - Method in class weka.core.neighboursearch.BallTree
  Builds the BallTree based on the given set of instances.
setInstances(Instances) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
  Sets the training instances on which the tree is (or is to be) built.
setInstances(Instances) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Sets the instances on which the tree is to be built.
setInstances(Instances) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Sets the instances on which the tree is to be built.
setInstances(Instances) - Method in class weka.core.neighboursearch.CoverTree
  Builds the Cover Tree on the given set of instances.
setInstances(Instances) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Sets the instances to build the filtering model from.
setInstances(Instances) - Method in class weka.core.neighboursearch.KDTree
  Builds the KDTree on the given set of instances.
setInstances(Instances) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Sets the training instances on which the tree is (or is to be) built.
setInstances(Instances) - Method in class weka.core.neighboursearch.LinearNNSearch
  Sets the instances comprising the current neighbourhood.
setInstances(Instances) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Sets the instances.
setInstances(Instances) - Method in class weka.core.NormalizableDistance
  Sets the instances.
setInstances(Instances) - Method in class weka.core.xml.XMLInstances
  builds up the XML structure based on the given data
setInstances(Instances) - Method in class weka.experiment.AveragingResultProducer
  Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in class weka.experiment.CrossValidationResultProducer
  Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in class weka.experiment.DatabaseResultProducer
  Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in class weka.experiment.LearningRateResultProducer
  Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in class weka.experiment.PairedTTester
  Set the value of Instances.
setInstances(Instances) - Method in class weka.experiment.RandomSplitResultProducer
  Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in interface weka.experiment.ResultProducer
  Sets the dataset that results will be obtained for.
setInstances(Instances) - Method in interface weka.experiment.Tester
  Set the value of Instances.
setInstances(Instances) - Method in class weka.gui.arffviewer.ArffPanel
  displays the given instances, i.e.
setInstances(Instances) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  sets the data
setInstances(Instances) - Method in class weka.gui.arffviewer.ArffTableModel
  sets the data
setInstances(Instances) - Method in class weka.gui.AttributeListPanel
  Sets the instances who's attribute names will be displayed.
setInstances(Instances) - Method in class weka.gui.AttributeSelectionPanel
  Sets the instances who's attribute names will be displayed.
setInstances(Instances) - Method in class weka.gui.AttributeSummaryPanel
  Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.gui.AttributeVisualizationPanel
  Sets the instances for use
setInstances(Instances) - Method in class weka.gui.beans.AttributeSummarizer
  Set instances for this bean.
setInstances(Instances) - Method in class weka.gui.beans.DataVisualizer
  Set instances for this bean.
setInstances(Instances) - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
  Set instances (if the perspective accepts them)
setInstances(Instances) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setInstances(Instances) - Method in class weka.gui.beans.ScatterPlotMatrix
  Set instances for this bean.
setInstances(Instances) - Method in class weka.gui.beans.SQLViewerPerspective
  Set instances (if the perspective accepts them)
setInstances(Instances) - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Set the training instances
setInstances(Instances) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the training data
setInstances(Instances) - Method in class weka.gui.experiment.ResultsPanel
  Sets up the panel with a new set of instances, attempting to guess the correct settings for various columns.
setInstances(Instances) - Method in class weka.gui.explorer.AbstractPlotInstances
  Sets the instances that are the basis for the plot instances.
setInstances(Instances) - Method in class weka.gui.explorer.AssociationsPanel
  Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.gui.explorer.AttributeSelectionPanel
  Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.gui.explorer.ClassifierPanel
  Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.gui.explorer.ClustererPanel
  Tells the panel to use a new set of instances.
setInstances(Instances) - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
  Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.gui.explorer.PreprocessPanel
  Tells the panel to use a new base set of instances.
setInstances(Instances) - Method in class weka.gui.InstancesSummaryPanel
  Tells the panel to use a new set of instances.
setInstances(Instances) - Method in class weka.gui.SetInstancesPanel
  Updates the set of instances that is currently held by the panel.
setInstances(Instances) - Method in class weka.gui.ViewerDialog
  sets the instances to display
setInstances(Instances) - Method in class weka.gui.visualize.AttributePanel
  This sets the instances to be drawn into the attribute panel
setInstances(Instances) - Method in class weka.gui.visualize.ClassPanel
  Set the instances.
setInstances(Instances) - Method in class weka.gui.visualize.MatrixPanel
  This method changes the Instances object of this class to a new one.
setInstances(Instances) - Method in class weka.gui.visualize.Plot2D
  Sets the master plot from a set of instances
setInstances(Instances) - Method in class weka.gui.visualize.VisualizePanel
  Tells the panel to use a new set of instances.
setInstancesFromDB(InstanceQuery) - Method in class weka.gui.explorer.PreprocessPanel
  Loads instances from a database
setInstancesFromDBQ(String, String, String, String) - Method in class weka.gui.explorer.PreprocessPanel
  Loads (non-sparse) instances from an SQL query the user provided with the SqlViewerDialog, then loads the instances in a background process.
setInstancesFromDBQ(String, String, String, String, boolean) - Method in class weka.gui.explorer.PreprocessPanel
  Loads instances from an SQL query the user provided with the SqlViewerDialog, then loads the instances in a background process.
setInstancesFromFile(AbstractFileLoader) - Method in class weka.gui.explorer.PreprocessPanel
  Loads results from a set of instances retrieved with the supplied loader.
setInstancesFromFileQ() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Queries the user for a file to load instances from, then loads the instances in a background process.
setInstancesFromFileQ() - Method in class weka.gui.explorer.PreprocessPanel
  Queries the user for a file to load instances from, then loads the instances in a background process.
setInstancesFromFileQ() - Method in class weka.gui.SetInstancesPanel
  Queries the user for a file to load instances from, then loads the instances in a background process.
setInstancesFromURL(URL) - Method in class weka.gui.explorer.PreprocessPanel
  Loads instances from a URL.
setInstancesFromURLQ() - Method in class weka.gui.explorer.PreprocessPanel
  Queries the user for a URL to load instances from, then loads the instances in a background process.
setInstancesFromURLQ() - Method in class weka.gui.SetInstancesPanel
  Queries the user for a URL to load instances from, then loads the instances in a background process.
setInstancesIndices(String) - Method in class weka.filters.unsupervised.instance.RemoveRange
  Sets the ranges of instances to be selected.
SetInstancesPanel - Class in weka.gui
  A panel that displays an instance summary for a set of instances and lets the user open a set of instances from either a file or URL.
SetInstancesPanel() - Constructor for class weka.gui.SetInstancesPanel
  Default constructor.
SetInstancesPanel(boolean, boolean, ConverterFileChooser) - Constructor for class weka.gui.SetInstancesPanel
  Create the panel.
setInterAnchorDistances(Vector<MiddleOutConstructor.TempNode>, MiddleOutConstructor.TempNode, Vector<double[]>) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Sets the distances of a supplied new anchor to all the rest of the previous anchor points.
setIntercept(double) - Method in class weka.core.pmml.jaxbbindings.RegressionTable
  Sets the value of the intercept property.
setInternalCacheSize(int) - Method in class weka.classifiers.functions.supportVector.StringKernel
  sets the size of the internal cache for intermediate results.
setInterpolationMethod(INTERPOLATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
  Sets the value of the interpolationMethod property.
setInterQuartileRange(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Sets the value of the interQuartileRange property.
setInterval(Interval) - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
  Sets the value of the interval property.
setInvalidFreq(Double) - Method in class weka.core.pmml.jaxbbindings.Counts
  Sets the value of the invalidFreq property.
setInvalidValueTreatment(INVALIDVALUETREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.Apply
  Sets the value of the invalidValueTreatment property.
setInvalidValueTreatment(INVALIDVALUETREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.MiningField
  Sets the value of the invalidValueTreatment property.
setInvert(boolean) - Method in class weka.core.InstanceComparator
  Sets whether to invert the matching sense of the attribute range.
setInvert(boolean) - Method in class weka.core.Range
  Sets whether the range sense is inverted, i.e.
setInvert(boolean) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Set whether selection is inverted.
setInvertSelection(boolean) - Method in interface weka.core.DistanceFunction
  Sets whether the matching sense of attribute indices is inverted or not.
setInvertSelection(boolean) - Method in class weka.core.FilteredDistance
  Sets whether the matching sense of attribute indices is inverted or not.
setInvertSelection(boolean) - Method in class weka.core.NormalizableDistance
  Sets whether the matching sense of attribute indices is inverted or not.
setInvertSelection(boolean) - Method in class weka.filters.supervised.attribute.Discretize
  Sets whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Set whether selected attributes should be acted on or all other attributes.
setInvertSelection(boolean) - Method in class weka.filters.supervised.instance.Resample
  Sets whether the selection is inverted (only if instances are drawn WIHTOUT replacement).
setInvertSelection(boolean) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Sets if selection is to be inverted.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Set whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.Copy
  Set whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
  Sets whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.MathExpression
  Set whether selected columns should be select or unselect.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Set whether selected attributes should be acted on or all other attributes.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Sets whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Sets whether the selection of the indices is inverted or not
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Sets whether selected columns should be worked on or all the others apart from these.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Set whether selected columns should be transformed or not.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Set whether to invert the selection - i.e.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.Remove
  Set whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RemoveByName
  Set whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RemoveType
  Set whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Sets whether to invert the selection of the attributes.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Set whether selected columns should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.SortLabels
  Sets whether selected columns should be processed or skipped.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets whether selected columns should be processed or skipped.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Sets if selection is to be inverted.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Set whether selected values should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Sets if selection is to be inverted.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemoveRange
  Sets if selection is to be inverted.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Set whether selected values should be removed or kept.
setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.Resample
  Sets whether the selection is inverted (only if instances are drawn WIHTOUT replacement).
setIRClassValue(String) - Method in class weka.attributeSelection.WrapperSubsetEval
  Set the class value (label or index) to use with IR metric evaluation of subsets.
setIsCenterField(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Sets the value of the isCenterField property.
setIsCyclic(String) - Method in class weka.core.pmml.jaxbbindings.DataField
  Sets the value of the isCyclic property.
setIsIntercept(Boolean) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the isIntercept property.
setIsMultiValued(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the isMultiValued property.
setIsRecursive(String) - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Sets the value of the isRecursive property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.BaselineModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.MiningModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.TextModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
  Sets the value of the isScorable property.
setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Sets the value of the isScorable property.
setIsTransformed(Boolean) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Sets the value of the isTransformed property.
setItem(int[]) - Method in class weka.associations.ItemSet
  Sets an item sets
setItemAt(int, int) - Method in class weka.associations.ItemSet
  Sets the index of an attribute value
setItemRef(String) - Method in class weka.core.pmml.jaxbbindings.ItemRef
  Sets the value of the itemRef property.
setIterativeClassifier(IterativeClassifier) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Set the base learner.
setJaccard(Jaccard) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the jaccard property.
setJitter(int) - Method in class weka.gui.visualize.Plot2D
  Set level of jitter and repaint the plot using the new jitter value
setKernel(Kernel) - Method in class weka.classifiers.functions.GaussianProcesses
  Sets the kernel to use.
setKernel(Kernel) - Method in class weka.classifiers.functions.SMO.BinarySMO
  sets the kernel to use
setKernel(Kernel) - Method in class weka.classifiers.functions.SMO
  sets the kernel to use
setKernel(Kernel) - Method in class weka.classifiers.functions.SMOreg
  sets the kernel to use
setKernel(Kernel) - Method in class weka.classifiers.functions.supportVector.CheckKernel
  Set the lernel to test.
setKernel(Kernel) - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Sets the kernel to use.
setKernelBandwidth(int) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
  Set the kernel bandwidth (number of nearest neighbours to cover)
setKernelFactorExpression(String) - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Sets the expression for the kernel.
setKernelMatrixFile(File) - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Sets the file holding the kernel matrix
setKeyFieldName(String) - Method in class weka.experiment.AveragingResultProducer
  Set the value of KeyFieldName.
setKeys(String) - Method in class weka.core.converters.DatabaseLoader
  Sets the key columns of a database table
setKeySpec(String) - Method in class weka.gui.beans.Join
  Set the key specification (in internal format - k11,k12,...,k1nKEY_SPEC_SEPARATORk21,k22,...,k2n)
setKeywords(String) - Method in class weka.experiment.DatabaseUtils
  Sets the keywords (comma-separated list) to use.
setKeywordsMaskChar(String) - Method in class weka.experiment.DatabaseUtils
  Sets the mask character to append to table or attribute names that are a reserved keyword.
setKind(String) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the kind property.
setKind(String) - Method in class weka.core.pmml.jaxbbindings.Matrix
  Sets the value of the kind property.
setKNN(int) - Method in class weka.classifiers.lazy.IBk
  Set the number of neighbours the learner is to use.
setKNN(int) - Method in class weka.classifiers.lazy.LWL
  Sets the number of neighbours used for kernel bandwidth setting.
setKohonenMap(KohonenMap) - Method in class weka.core.pmml.jaxbbindings.Cluster
  Sets the value of the kohonenMap property.
setKValue(int) - Method in class weka.classifiers.trees.RandomTree
  Set the value of K.
setLabel(String) - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
  Sets the value of the label property.
setLabel(String) - Method in class weka.core.pmml.jaxbbindings.Parameter
  Sets the value of the label property.
setLabel(String) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Sets label of the merged class.
setLabel(String) - Method in class weka.gui.beans.BatchClassifierEvent
  Set the label for this event.
setLabel(String) - Method in class weka.gui.beans.EnvironmentField
  Set the label for this widget.
setLabel(String) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Set the label to assign if this rule matches, or empty string if binary flag attribute is being created.
setLabels(String) - Method in class weka.filters.unsupervised.attribute.AddValues
  Sets the comma-separated list of labels.
setLambda(double) - Method in class weka.classifiers.functions.SGD
  Set the value of lambda to use
setLambda(double) - Method in class weka.classifiers.functions.SGDText
  Set the value of lambda to use
setLambda(double) - Method in class weka.classifiers.functions.supportVector.StringKernel
  Sets the lambda constant used in the string kernel
setLeafPredictionStrategy(SelectedTag) - Method in class weka.classifiers.trees.HoeffdingTree
  Set the leaf prediction strategy to use (majority class, naive Bayes or naive Bayes adaptive)
setLearningRate(double) - Method in class weka.classifiers.functions.MultilayerPerceptron
  The learning rate can be set using this command.
setLearningRate(double) - Method in class weka.classifiers.functions.SGD
  Set the learning rate.
setLearningRate(double) - Method in class weka.classifiers.functions.SGDText
  Set the learning rate.
setLeftMargin(Double) - Method in class weka.core.pmml.jaxbbindings.Interval
  Sets the value of the leftMargin property.
setLegendText(Vector<String>) - Method in class weka.gui.beans.ChartEvent
  Set the legend text vector
setLength(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TextDocument
  Sets the value of the length property.
setLength(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeCycle
  Sets the value of the length property.
setLengthLimit(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the lengthLimit property.
setLevel(Level) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
  Sets the value of the level property.
setLeverage(Float) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Sets the value of the leverage property.
setLift(Float) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Sets the value of the lift property.
setLift(Double) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Sets the value of the lift property.
setLiftData(LiftData) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the liftData property.
setLiftGraph(LiftGraph) - Method in class weka.core.pmml.jaxbbindings.ModelLiftGraph
  Sets the value of the liftGraph property.
setLiftGraph(LiftGraph) - Method in class weka.core.pmml.jaxbbindings.OptimumLiftGraph
  Sets the value of the liftGraph property.
setLiftGraph(LiftGraph) - Method in class weka.core.pmml.jaxbbindings.RandomLiftGraph
  Sets the value of the liftGraph property.
setLikelihoodThreshold(double) - Method in class weka.classifiers.meta.LogitBoost
  Set the value of Precision.
setLinkFunction(LINKFUNCTION) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the linkFunction property.
setLinkParameter(Double) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the linkParameter property.
setLinkType(SelectedTag) - Method in class weka.clusterers.HierarchicalClusterer
setListData(Object[]) - Method in class weka.gui.CheckBoxList
  Constructs a CheckBoxListModel from an array of objects and then applies setModel to it.
setListData(Vector) - Method in class weka.gui.CheckBoxList
  Constructs a CheckBoxListModel from a Vector and then applies setModel to it.
setLNorm(double) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Set the L-norm to used
setLNorm(double) - Method in class weka.classifiers.functions.SGDText
  Set the L-norm to used
setLoadClassifierFileName(String) - Method in class weka.gui.beans.Classifier
  Set the name of the classifier to load at execution time.
setLoaded(boolean) - Method in class weka.gui.beans.AttributeSummarizer
  Set whether this perspective is "loaded" - i.e.
setLoaded(boolean) - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
  Set whether this perspective is "loaded" - i.e.
setLoaded(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setLoaded(boolean) - Method in class weka.gui.beans.ScatterPlotMatrix
  Set whether this perspective is "loaded" - i.e.
setLoaded(boolean) - Method in class weka.gui.beans.SQLViewerPerspective
  Set whether this perspective is "loaded" - i.e.
setLoader(Loader) - Method in class weka.gui.beans.Loader
  Set the loader to use
setLocallyPredictive(boolean) - Method in class weka.attributeSelection.CfsSubsetEval
  Include locally predictive attributes
setLocalTermWeights(String) - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
  Sets the value of the localTermWeights property.
setLocalTransformations(LocalTransformations) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Sets the value of the localTransformations property.
setLocalTransformations(LocalTransformations) - Method in class weka.core.pmml.jaxbbindings.Regression
  Sets the value of the localTransformations property.
setLocationProbs(int, double[]) - Method in class weka.gui.boundaryvisualizer.RemoteResult
  Store the classifier's distribution for a particular pixel in the visualization
setLog(Logger) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
  Set a logger to use.
setLog(Debug.Log) - Method in class weka.core.Debug.Random
  the log to use, if it is null then stdout is used
setLog(Logger) - Method in interface weka.core.LogHandler
  Set the log to use
setLog(Logger) - Method in interface weka.core.pmml.PMMLModel
  Set a logger to use.
setLog(Logger) - Method in class weka.gui.beans.AbstractDataSink
  Set a log for this bean
setLog(Logger) - Method in class weka.gui.beans.AbstractEvaluator
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.AbstractTestSetProducer
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Set a log for this bean
setLog(Logger) - Method in class weka.gui.beans.AbstractTrainingSetProducer
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.Appender
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.Associator
  Set a logger
setLog(Logger) - Method in interface weka.gui.beans.BeanCommon
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.ClassAssigner
setLog(Logger) - Method in class weka.gui.beans.Classifier
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.ClassValuePicker
setLog(Logger) - Method in class weka.gui.beans.Clusterer
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.CostBenefitAnalysis
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.DataVisualizer
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.Filter
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.FlowByExpression
setLog(Logger) - Method in class weka.gui.beans.FlowRunner
setLog(Logger) - Method in class weka.gui.beans.ImageSaver
setLog(Logger) - Method in class weka.gui.beans.ImageViewer
setLog(Logger) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.Join
  Set a log to use
setLog(Logger) - Method in class weka.gui.beans.Loader
  Set a logger
setLog(Logger) - Method in interface weka.gui.beans.LogWriter
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.MetaBean
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.ModelPerformanceChart
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.PredictionAppender
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.SerializedModelSaver
  Set a log for this bean.
setLog(Logger) - Method in class weka.gui.beans.Sorter
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.StripChart
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.SubstringLabeler
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.SubstringReplacer
  Set a logger
setLog(Logger) - Method in class weka.gui.beans.TextSaver
setLog(Logger) - Method in class weka.gui.beans.TextViewer
  Set a logger
setLog(Logger) - Method in class weka.gui.explorer.AssociationsPanel
  Sets the Logger to receive informational messages
setLog(Logger) - Method in class weka.gui.explorer.AttributeSelectionPanel
  Sets the Logger to receive informational messages
setLog(Logger) - Method in class weka.gui.explorer.ClassifierPanel
  Sets the Logger to receive informational messages.
setLog(Logger) - Method in class weka.gui.explorer.ClustererPanel
  Sets the Logger to receive informational messages
setLog(Logger) - Method in class weka.gui.explorer.DataGeneratorPanel
  Sets the Logger to receive informational messages
setLog(Logger) - Method in interface weka.gui.explorer.Explorer.LogHandler
  Sets the Logger to receive informational messages
setLog(Logger) - Method in class weka.gui.explorer.PreprocessPanel
  Sets the Logger to receive informational messages
setLog(Logger) - Method in class weka.gui.visualize.VisualizePanel
  Sets the Logger to receive informational messages
setLookAheadIterations(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Set the value of LookAheadIterations.
setLookAndFeel(String) - Static method in class weka.gui.LookAndFeel
  sets the look and feel to the specified class
setLookAndFeel() - Static method in class weka.gui.LookAndFeel
  sets the look and feel to the one in the props-file or if not set the default one of the system
setLookupCacheSize(int) - Method in class weka.attributeSelection.BestFirst
  Set the maximum size of the evaluated subset cache (hashtable).
setLossFunction(SelectedTag) - Method in class weka.classifiers.functions.SGD
  Set the loss function to use.
setLossFunction(SelectedTag) - Method in class weka.classifiers.functions.SGDText
  Set the loss function to use.
setLower(double) - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
  Sets the value of the lower property.
setLowerBoundMinSupport(double) - Method in class weka.associations.Apriori
  Set the value of lowerBoundMinSupport.
setLowerBoundMinSupport(double) - Method in class weka.associations.FPGrowth
  Set the value of lowerBoundMinSupport.
setLowercaseTokens(boolean) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Set whether to convert all tokens to lowercase
setLowercaseTokens(boolean) - Method in class weka.classifiers.functions.SGDText
  Set whether to convert all tokens to lowercase
setLowerCaseTokens(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets whether if the tokens are to be downcased or not.
setLowerSize(int) - Method in class weka.experiment.LearningRateResultProducer
  Set the value of LowerSize.
setLowValue(Double) - Method in class weka.core.pmml.jaxbbindings.MiningField
  Sets the value of the lowValue property.
setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in class weka.gui.beans.AttributeSummarizer
  Set a reference to the main KnowledgeFlow perspective - i.e.
setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
  Set a reference to the main KnowledgeFlow perspective - i.e.
setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in class weka.gui.beans.ScatterPlotMatrix
  Set a reference to the main KnowledgeFlow perspective - i.e.
setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in class weka.gui.beans.SQLViewerPerspective
  Set a reference to the main KnowledgeFlow perspective - i.e.
setMakeBinary(boolean) - Method in class weka.filters.supervised.attribute.Discretize
  Sets whether binary attributes should be made for discretized ones.
setMakeBinary(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
  Sets whether binary attributes should be made for discretized ones.
setMapMissingTo(String) - Method in class weka.core.pmml.jaxbbindings.Apply
  Sets the value of the mapMissingTo property.
setMapMissingTo(String) - Method in class weka.core.pmml.jaxbbindings.Discretize
  Sets the value of the mapMissingTo property.
setMapMissingTo(String) - Method in class weka.core.pmml.jaxbbindings.FieldRef
  Sets the value of the mapMissingTo property.
setMapMissingTo(String) - Method in class weka.core.pmml.jaxbbindings.MapValues
  Sets the value of the mapMissingTo property.
setMapMissingTo(Double) - Method in class weka.core.pmml.jaxbbindings.NormContinuous
  Sets the value of the mapMissingTo property.
setMapMissingTo(Double) - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
  Sets the value of the mapMissingTo property.
setMappedValue(String) - Method in class weka.core.pmml.jaxbbindings.Item
  Sets the value of the mappedValue property.
setMapValues(MapValues) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Sets the value of the mapValues property.
setMapValues(MapValues) - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Sets the value of the mapValues property.
setMapValues(MapValues) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the mapValues property.
setMargin(int, double[]) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  set marginal distibution for a node
setMarkovBlanketClassifier(boolean) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
setMarkovBlanketClassifier(boolean) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
setMasterPlot(PlotData2D) - Method in class weka.gui.visualize.Plot2D
  Set the master plot.
setMasterPlot(PlotData2D) - Method in class weka.gui.visualize.VisualizePanel
  Set the master plot for the visualize panel
setMatch(String) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Set the string/regex to use for matching
setMatch(String) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Set the string/regex to use for matching
setMatchAttributeName(String) - Method in class weka.gui.beans.SubstringLabeler
setMatchDetails(String) - Method in class weka.gui.beans.SubstringLabeler
  Set internally encoded list of match rules
setMatchMissingValues(boolean) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Sets whether missing values are counted as a match.
setMatchReplaceDetails(String) - Method in class weka.gui.beans.SubstringReplacer
  Set internally encoded list of match-replace rules
setMatrix(int, int, int, int, Matrix) - Method in class weka.core.matrix.Matrix
  Set a submatrix.
setMatrix(int[], int[], Matrix) - Method in class weka.core.matrix.Matrix
  Set a submatrix.
setMatrix(int[], int, int, Matrix) - Method in class weka.core.matrix.Matrix
  Set a submatrix.
setMatrix(int, int, int[], Matrix) - Method in class weka.core.matrix.Matrix
  Set a submatrix.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.Comparisons
  Sets the value of the matrix property.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
  Sets the value of the matrix property.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.CorrelationMethods
  Sets the value of the matrix property.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.CorrelationValues
  Sets the value of the matrix property.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.Covariances
  Sets the value of the matrix property.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.DocumentTermMatrix
  Sets the value of the matrix property.
setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.Predictor
  Sets the value of the matrix property.
setMax(Double) - Method in class weka.core.pmml.jaxbbindings.Target
  Sets the value of the max property.
setMax(Double) - Method in class weka.core.pmml.jaxbbindings.Time
  Sets the value of the max property.
setMax(double) - Method in class weka.gui.beans.ChartEvent
  Set the max y value
setMaxBoostingIterations(int) - Method in class weka.classifiers.functions.SimpleLogistic
  Set the value of maxBoostingIterations.
setMaxCardinality(int) - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
  sets the cardinality
setMaxCount(double) - Method in class weka.filters.supervised.instance.SpreadSubsample
  Sets the value for the max count
setMaxDecimalPlaces(int) - Method in class weka.core.converters.ArffSaver
  Set the maximum number of decimal places to print
setMaxDecimalPlaces(int) - Method in class weka.core.converters.CSVSaver
  Set the maximum number of decimal places to print
setMaxDefault(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Set the naximum default.
setMaxDepth(int) - Method in class weka.classifiers.trees.RandomForest
  Set the maximum depth of the tree, 0 for unlimited.
setMaxDepth(int) - Method in class weka.classifiers.trees.RandomTree
  Set the maximum depth of the tree, 0 for unlimited.
setMaxDepth(int) - Method in class weka.classifiers.trees.REPTree
  Set the value of MaxDepth.
setMaximum(Double) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the maximum property.
setMaximum(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Sets the value of the maximum property.
setMaximumAntConsSeparationTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the maximumAntConsSeparationTime property.
setMaximumAttributeNames(int) - Method in class weka.attributeSelection.PrincipalComponents
  Sets maximum number of attributes to include in transformed attribute names.
setMaximumAttributeNames(int) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Sets maximum number of attributes to include in transformed attribute names.
setMaximumAttributes(int) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Sets maximum number of PC attributes to retain.
setMaximumItemsetSeparationTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the maximumItemsetSeparationTime property.
setMaximumNumberOfAntecedentItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the maximumNumberOfAntecedentItems property.
setMaximumNumberOfClusters(int) - Method in class weka.clusterers.EM
  Set the maximum number of clusters to consider when cross-validating
setMaximumNumberOfConsequentItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the maximumNumberOfConsequentItems property.
setMaximumNumberOfItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the maximumNumberOfItems property.
setMaximumTotalSequenceTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the maximumTotalSequenceTime property.
setMaximumVariancePercentageAllowed(double) - Method in class weka.filters.unsupervised.attribute.RemoveUseless
  Sets the maximum variance attributes are allowed to have before they are deleted by the filter.
setMaxInstancesInLeaf(int) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Sets the maximum number of instances allowed in a leaf.
setMaxInstancesInLeaf(int) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Sets the maximum number of instances allowed in a leaf.
setMaxInstInLeaf(int) - Method in class weka.core.neighboursearch.KDTree
  Sets the maximum number of instances in a leaf.
setMaxInstNum(int) - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Sets the upper boundary for instances per cluster.
setMaxInstNum(int) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Sets the upper boundary for instances per cluster.
setMaxIteration(int) - Method in class weka.core.Optimization
  Set the maximal number of iterations in searching (Default 200)
setMaxIterations(int) - Method in class weka.classifiers.trees.lmt.LogisticBase
  Sets the parameter "maxIterations".
setMaxIterations(int) - Method in class weka.clusterers.EM
  Set the maximum number of iterations to perform
setMaxIterations(int) - Method in class weka.clusterers.SimpleKMeans
  set the maximum number of iterations to be executed.
setMaxIterations(int) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Sets the maximum number of cleansing iterations to perform - < 1 means go until fully cleansed
setMaxIts(int) - Method in class weka.classifiers.functions.Logistic
  Set the value of MaxIts.
setMaxK(int) - Method in class weka.classifiers.functions.VotedPerceptron
  Set the value of maxK.
setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.global.HillClimber
  Sets the max number of parents
setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.global.K2
  Sets the max number of parents
setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.local.HillClimber
  Sets the max number of parents
setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.local.K2
  Sets the max number of parents
setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
  Sets the max number of parents
setMaxNumberOfItems(int) - Method in class weka.associations.FPGrowth
  Set the maximum number of items to include in large items sets.
setMaxNumberOfItemsPerTA(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the maxNumberOfItemsPerTA property.
setMaxNumberOfItemsPerTransaction(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Sets the value of the maxNumberOfItemsPerTransaction property.
setMaxNumberOfTAsPerTAGroup(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Sets the value of the maxNumberOfTAsPerTAGroup property.
setMaxNumCandidateCanopiesToHoldInMemory(int) - Method in class weka.clusterers.Canopy
  Set the maximum number of candidate canopies to retain in memory during training.
setMaxNumComponents(int) - Method in class weka.estimators.UnivariateMixtureEstimator
  Sets the number of components to use.
setMaxPlots(int) - Method in class weka.gui.beans.AttributeSummarizer
  Set the maximum number of plots to display
setMaxRadius(double) - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Sets the upper boundary for the radiuses of the clusters.
setMaxRange(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Sets the upper boundary for the range of x
setMaxRelativeLeafRadius(double) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Sets the maximum relative radius, allowed for a leaf node.
setMaxRows(int) - Method in class weka.gui.sql.QueryPanel
  sets the maximum number of rows to display.
setMaxRuleSize(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
  Sets the maximum number of tests in rules.
setMaxSubsequenceLength(int) - Method in class weka.classifiers.functions.supportVector.StringKernel
  Sets the maximum length of the subsequence.
setMaxThreshold(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Set the maximum threshold.
setMaxTime(Double) - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
  Sets the value of the maxTime property.
setMaxTime(double) - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
  Sets the value of the maxTime property.
setMDLTheoryWeight(double) - Method in class weka.classifiers.rules.RuleStats
  Set the weight of theory in MDL calcualtion
setMean(double) - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
  Sets the value of the mean property.
setMean(double) - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
  Sets the value of the mean property.
setMean(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Sets the value of the mean property.
setMean(double) - Method in class weka.core.pmml.jaxbbindings.PoissonDistribution
  Sets the value of the mean property.
setMean(Double) - Method in class weka.core.pmml.jaxbbindings.Time
  Sets the value of the mean property.
setMean(int, int, double) - Method in class weka.experiment.ResultMatrix
  sets the mean at the given position (if the position is valid).
setMeanAbsoluteError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the meanAbsoluteError property.
setMeanError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the meanError property.
setMeanOfSquares(Double) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Sets the value of the meanOfSquares property.
setMeanPrec(int) - Method in class weka.experiment.ResultMatrix
  sets the precision for the means.
setMeanSquared(boolean) - Method in class weka.classifiers.lazy.IBk
  Sets whether the mean squared error is used rather than mean absolute error when doing cross-validation.
setMeanSquaredError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the meanSquaredError property.
setMeanStddev(String) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Sets mean and standarddeviation.
setMeanWidth(int) - Method in class weka.experiment.ResultMatrix
  sets the width for the mean (0 = optimal).
setMeasurePerformance(boolean) - Method in class weka.core.neighboursearch.BallTree
  Sets whether to calculate the performance statistics or not.
setMeasurePerformance(boolean) - Method in class weka.core.neighboursearch.KDTree
  Sets whether to calculate the performance statistics or not.
setMeasurePerformance(boolean) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Sets whether to calculate the performance statistics or not.
setMedian(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Sets the value of the median property.
setMergeValueRange(String) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Sets range of the merge values used.
setMetaClassifier(Classifier) - Method in class weka.classifiers.meta.Stacking
  Adds meta classifier
setMethod(NeuralMethod) - Method in class weka.classifiers.functions.neural.NeuralNode
  Set how this node should operate (note that the neural method has no internal state, so the same object can be used by any number of nodes.
setMethod(SelectedTag) - Method in class weka.classifiers.meta.MultiClassClassifier
  Sets the method used.
setMethod(String) - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
  Sets the value of the method property.
setMethodName(String) - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Set the transformation method.
setMetricsToDisplay(List<String>) - Method in class weka.classifiers.evaluation.Evaluation
  Set a list of the names of metrics to have appear in the output.
setMetricsToDisplay(List<String>) - Method in class weka.classifiers.Evaluation
  Set a list of the names of metrics to have appear in the output.
setMetricType(SelectedTag) - Method in class weka.associations.Apriori
  Set the metric type for ranking rules
setMetricType(SelectedTag) - Method in class weka.associations.FPGrowth
  Set the metric type to use.
setMin(Double) - Method in class weka.core.pmml.jaxbbindings.Target
  Sets the value of the min property.
setMin(Double) - Method in class weka.core.pmml.jaxbbindings.Time
  Sets the value of the min property.
setMin(double) - Method in class weka.gui.beans.ChartEvent
  Set the min y value
setMinAbsoluteCoefficientValue(double) - Method in class weka.classifiers.functions.SGDText
  Set the minimum absolute magnitude for model coefficients.
setMinBoxRelWidth(double) - Method in class weka.core.neighboursearch.KDTree
  Sets the minimum relative box width.
setMinBucketSize(int) - Method in class weka.classifiers.rules.OneR
  Set the value of minBucketSize.
setMinDefault(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Set the minimum default.
setMinimal(boolean) - Method in class weka.classifiers.functions.LinearRegression
  Sets whether to be more memory conservative or being able to output the model as string.
setMinimizeAbsoluteError(boolean) - Method in class weka.classifiers.meta.RegressionByDiscretization
  Sets whether to min.
setMinimizeExpectedCost(boolean) - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Set the value of MinimizeExpectedCost.
setMinimum(Double) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the minimum property.
setMinimum(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Sets the value of the minimum property.
setMinimumAntConsSeparationTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the minimumAntConsSeparationTime property.
setMinimumBucketSize(int) - Method in class weka.attributeSelection.OneRAttributeEval
  Set the minumum bucket size used by OneR
setMinimumCanopyDensity(double) - Method in class weka.clusterers.Canopy
  Set the minimum T2-based density below which a canopy will be pruned during periodic pruning.
setMinimumConfidence(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the minimumConfidence property.
setMinimumConfidence(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the minimumConfidence property.
setMinimumFractionOfWeightInfoGain(double) - Method in class weka.classifiers.trees.HoeffdingTree
  Set the minimum fraction of weight required down at least two branches for info gain splitting
setMinimumFrequency(int) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Sets the minimum frequency.
setMinimumItemsetSeparationTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the minimumItemsetSeparationTime property.
setMinimumLift(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the minimumLift property.
setMinimumNumberInstances(int) - Method in class weka.core.Capabilities
  sets the minimum number of instances that have to be in the dataset
setMinimumNumberOfAntecedentItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the minimumNumberOfAntecedentItems property.
setMinimumNumberOfConsequentItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the minimumNumberOfConsequentItems property.
setMinimumNumberOfItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the minimumNumberOfItems property.
setMinimumSupport(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the minimumSupport property.
setMinimumSupport(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the minimumSupport property.
setMinimumTotalSequenceTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
  Sets the value of the minimumTotalSequenceTime property.
setMiningBuildTask(MiningBuildTask) - Method in class weka.core.pmml.jaxbbindings.PMML
  Sets the value of the miningBuildTask property.
setMiningModel(MiningModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the miningModel property.
setMinInstNum(int) - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Sets the lower boundary for instances per cluster.
setMinInstNum(int) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Sets the lower boundary for instances per cluster.
setMinkowski(Minkowski) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the minkowski property.
setMinLogLikelihoodImprovementCV(double) - Method in class weka.clusterers.EM
  Set the minimum improvement in cross-validated log likelihood required to consider increasing the number of clusters when cross-validating to find the best number of clusters
setMinLogLikelihoodImprovementIterating(double) - Method in class weka.clusterers.EM
  Set the minimum improvement in log likelihood necessary to perform another iteration of the E and M steps.
setMinMaxX(double, double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the minimum and maximum values of the x axis fixed dimension
setMinMaxY(double, double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the minimum and maximum values of the y axis fixed dimension
setMinMetric(double) - Method in class weka.associations.Apriori
  Set the value of minConfidence.
setMinMetric(double) - Method in class weka.associations.FPGrowth
  Set the value of minConfidence.
setMinNo(double) - Method in class weka.classifiers.rules.JRip
  Sets the minimum total weight of the instances in a rule
setMinNum(double) - Method in class weka.classifiers.trees.RandomTree
  Set the value of MinNum.
setMinNum(double) - Method in class weka.classifiers.trees.REPTree
  Set the value of MinNum.
setMinNumInstances(int) - Method in class weka.classifiers.trees.LMT
  Set the value of minNumInstances.
setMinNumInstances(double) - Method in class weka.classifiers.trees.m5.M5Base
  Set the minimum number of instances to allow at a leaf node
setMinNumInstances(double) - Method in class weka.classifiers.trees.m5.Rule
  Set the minumum number of instances to allow at a leaf node
setMinNumInstances(double) - Method in class weka.classifiers.trees.m5.RuleNode
  Set the minumum number of instances to allow at a leaf node
setMinNumObj(int) - Method in class weka.classifiers.rules.PART
  Set the value of minNumObj.
setMinNumObj(int) - Method in class weka.classifiers.trees.J48
  Set the value of minNumObj.
setMinRadius(double) - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Sets the lower boundary for the radiuses of the clusters.
setMinRange(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Sets the lower boundary for the range of x
setMinRuleSize(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
  Sets the minimum number of tests in rules.
setMinStdDev(double) - Method in class weka.clusterers.EM
  Set the minimum value for standard deviation when calculating normal density.
setMinStdDev(double) - Method in class weka.clusterers.MakeDensityBasedClusterer
  Set the minimum value for standard deviation when calculating normal density.
setMinStdDevPerAtt(double[]) - Method in class weka.clusterers.EM
setMinTermFreq(int) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Set the MinTermFreq value.
setMinThreshold(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Set the minimum threshold.
setMinVarianceProp(double) - Method in class weka.classifiers.trees.RandomTree
  Set the value of MinVarianceProp.
setMinVarianceProp(double) - Method in class weka.classifiers.trees.REPTree
  Set the value of MinVarianceProp.
setMinWordFrequency(double) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Set the minimum word frequency.
setMinWordFrequency(double) - Method in class weka.classifiers.functions.SGDText
  Set the minimum word frequency.
setMissing(int) - Method in class weka.core.AbstractInstance
  Sets a specific value to be "missing".
setMissing(Attribute) - Method in class weka.core.AbstractInstance
  Sets a specific value to be "missing".
setMissing(int) - Method in interface weka.core.Instance
  Sets a specific value to be "missing".
setMissing(Attribute) - Method in interface weka.core.Instance
  Sets a specific value to be "missing".
setMissingFreq(Double) - Method in class weka.core.pmml.jaxbbindings.Counts
  Sets the value of the missingFreq property.
setMissingMerge(boolean) - Method in class weka.attributeSelection.GainRatioAttributeEval
  distribute the counts for missing values across observed values
setMissingMerge(boolean) - Method in class weka.attributeSelection.InfoGainAttributeEval
  distribute the counts for missing values across observed values
setMissingMerge(boolean) - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  distribute the counts for missing values across observed values
setMissingMode(int) - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
  Set the missing value mode.
setMissingMode(SelectedTag) - Method in class weka.classifiers.lazy.KStar
  Sets the method to use for handling missing values.
setMissingSeparate(boolean) - Method in class weka.attributeSelection.CfsSubsetEval
  Treat missing as a separate value
setMissingValue(String) - Method in class weka.core.converters.CSVLoader
  Sets the placeholder for missing values.
setMissingValue(String) - Method in class weka.core.converters.CSVSaver
  Sets the placeholder for missing values.
setMissingValuePenalty(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Sets the value of the missingValuePenalty property.
setMissingValuePenalty(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Sets the value of the missingValuePenalty property.
setMissingValueReplacement(String) - Method in class weka.core.pmml.jaxbbindings.MiningField
  Sets the value of the missingValueReplacement property.
setMissingValuesReplacer(Filter) - Method in class weka.clusterers.Canopy
  Set a ready-to-use missing values replacement filter
setMissingValueStrategy(MISSINGVALUESTRATEGY) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Sets the value of the missingValueStrategy property.
setMissingValueStrategy(MISSINGVALUESTRATEGY) - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Sets the value of the missingValueStrategy property.
setMissingValueTreatment(MISSINGVALUETREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.MiningField
  Sets the value of the missingValueTreatment property.
setModalValue(String) - Method in class weka.core.pmml.jaxbbindings.DiscrStats
  Sets the value of the modalValue property.
setModel(Classifier) - Method in class weka.classifiers.misc.SerializedClassifier
  Sets the fully built model to use, if one doesn't want to load a model from a file or already deserialized a model from somewhere else.
setModel(TableModel) - Method in class weka.gui.arffviewer.ArffTable
  sets the new model
setModel(ListModel) - Method in class weka.gui.CheckBoxList
  sets the model - must be an instance of CheckBoxListModel
setModel(TableModel) - Method in class weka.gui.SortedTableModel
  sets the model to use
setModelClass(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Sets the value of the modelClass property.
setModelDF(Double) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the modelDF property.
setModelFile(File) - Method in class weka.classifiers.misc.SerializedClassifier
  Sets the file containing the serialized model.
setModelHeader(Instances) - Method in class weka.classifiers.misc.InputMappedClassifier
  Set the structure of the data used to create the model.
setModelLiftGraph(ModelLiftGraph) - Method in class weka.core.pmml.jaxbbindings.LiftData
  Sets the value of the modelLiftGraph property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.BaselineModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.MiningModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.Regression
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.TextModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
  Sets the value of the modelName property.
setModelName(String) - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Sets the value of the modelName property.
setModelPath(String) - Method in class weka.classifiers.misc.InputMappedClassifier
  Set the path from which to load a model.
setModelStats(ModelStats) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Sets the value of the modelStats property.
setModelStats(ModelStats) - Method in class weka.core.pmml.jaxbbindings.Regression
  Sets the value of the modelStats property.
setModelType(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the modelType property.
setModelType(String) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Sets the value of the modelType property.
setModePanel(SetupModePanel) - Method in class weka.gui.experiment.SimpleSetupPanel
  Sets the panel used to switch between simple and advanced modes.
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.AssociatorCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.AttributeSummarizerCustomizer
  Set a listener interested in whether we've modified the ImageSaver that we're customizing
setModifiedListener(BeanCustomizer.ModifyListener) - Method in interface weka.gui.beans.BeanCustomizer
  Set a listener to be notified about the modified status of this object
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClassAssignerCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClassifierCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClassValuePickerCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClustererCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.DataVisualizerCustomizer
  Set a listener interested in whether we've modified the ImageSaver that we're customizing
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.FilterCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.FlowByExpressionCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ImageSaverCustomizer
  Set a listener interested in whether we've modified the ImageSaver that we're customizing
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.JoinCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.LoaderCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
  Set a listener interested in whether we've modified the ImageSaver that we're customizing
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.NoteCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.PredictionAppenderCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SaverCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SorterCustomizer
  The modify listener interested in any chages we might make
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SubstringLabelerCustomizer
  Set a listener interested in knowing if the object being edited has changed.
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SubstringReplacerCustomizer
  Set a listener interested in knowing if the object being edited has changed.
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.TextSaverCustomizer
  Set a listener interested in whether we've modified the TextSaver that we're customizing
setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.filters.AddUserFieldsCustomizer
  Set an object that is interested in knowing when we make a change to the object that we're editing
setModifiedStatus(Object, boolean) - Method in interface weka.gui.beans.BeanCustomizer.ModifyListener
  Tell the listener about the modified status of the source object.
setModifiedStatus(Object, boolean) - Method in class weka.gui.beans.KnowledgeFlowApp
  Tells us about the modified status of a particular object - typically a customizer that is editing a flow component.
setModifyHeader(boolean) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Sets whether the header will be modified when selecting on nominal attributes.
setModifyHeader(boolean) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Sets whether the header will be modified when selecting on nominal attributes.
setMomentum(double) - Method in class weka.classifiers.functions.MultilayerPerceptron
  The momentum can be set using this command.
setMultiInstance(boolean) - Method in class weka.core.TestInstances
  sets whether multi-instance data should be generated (with a fixed data structure)
setMultiLineComment(boolean) - Method in class weka.gui.scripting.SyntaxDocument
  Sets whether to enable multi-line comments.
setMultiLineCommentEnd(String) - Method in class weka.gui.scripting.SyntaxDocument
  Sets the string that is the end of a multi-line comment.
setMultiLineCommentStart(String) - Method in class weka.gui.scripting.SyntaxDocument
  Sets the string that is the start of a multi-line comment.
setMultipleModelMethod(MULTIPLEMODELMETHOD) - Method in class weka.core.pmml.jaxbbindings.Segmentation
  Sets the value of the multipleModelMethod property.
setN(BigInteger) - Method in class weka.core.pmml.jaxbbindings.ArrayType
  Sets the value of the n property.
setN(BigInteger) - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
  Sets the value of the n property.
setN(BigInteger) - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
  Sets the value of the n property.
setNaiveBayesModel(NaiveBayesModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the naiveBayesModel property.
setNaiveBayesPredictionThreshold(double) - Method in class weka.classifiers.trees.HoeffdingTree
  Set the number of instances (weight) a leaf should observe before allowing naive Bayes to make predictions
setName(String) - Method in class weka.core.pmml.jaxbbindings.Application
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Characteristic
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Cluster
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.DataField
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Extension
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.MiningField
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Parameter
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.ParameterField
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Partition
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Predictor
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.ResultField
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.Taxonomy
  Sets the value of the name property.
setName(String) - Method in class weka.core.pmml.jaxbbindings.TextDocument
  Sets the value of the name property.
setName(String) - Method in class weka.filters.unsupervised.attribute.AddExpression
  Set the name for the new attribute.
setName(String) - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Set the name of the new attribute
setName(String) - Method in class weka.gui.visualize.VisualizePanel
  Set a name for this plot
setNbCols(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Matrix
  Sets the value of the nbCols property.
setNbCorrect(Double) - Method in class weka.core.pmml.jaxbbindings.RuleSet
  Sets the value of the nbCorrect property.
setNbCorrect(Double) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Sets the value of the nbCorrect property.
setNbRows(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Matrix
  Sets the value of the nbRows property.
setNearestNeighborModel(NearestNeighborModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the nearestNeighborModel property.
setNearestNeighbourSearchAlgorithm(NearestNeighbourSearch) - Method in class weka.classifiers.lazy.IBk
  Sets the nearestNeighbourSearch algorithm to be used for finding nearest neighbour(s).
setNearestNeighbourSearchAlgorithm(NearestNeighbourSearch) - Method in class weka.classifiers.lazy.LWL
  Sets the nearestNeighbourSearch algorithm to be used for finding nearest neighbour(s).
setNegativeTargetFieldDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.ROC
  Sets the value of the negativeTargetFieldDisplayValue property.
setNegativeTargetFieldValue(String) - Method in class weka.core.pmml.jaxbbindings.ROC
  Sets the value of the negativeTargetFieldValue property.
setNeuralNetwork(NeuralNetwork) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the neuralNetwork property.
setNewAttributeName(String) - Method in class weka.gui.beans.SubstringLabelerRules
  Set the name to use for the new attribute that is added
setNGramMaxSize(int) - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Sets the max size of the Ngram.
setNGramMaxSize(int) - Method in class weka.core.tokenizers.NGramTokenizer
  Sets the max size of the Ngram.
setNGramMinSize(int) - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Sets the min size of the Ngram.
setNGramMinSize(int) - Method in class weka.core.tokenizers.NGramTokenizer
  Sets the min size of the Ngram.
setNoClass(boolean) - Method in class weka.core.TestInstances
  whether to have no class, e.g., for clusterers; otherwise the class attribute index is set to last
setNode(Node) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Sets the value of the node property.
setNodeName(int, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  change the name of a node
setNodesEdges(ArrayList<GraphNode>, ArrayList<GraphEdge>) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
  Sets the nodes and edges for this LayoutEngine.
setNodesEdges(ArrayList<GraphNode>, ArrayList<GraphEdge>) - Method in interface weka.gui.graphvisualizer.LayoutEngine
  This method sets the nodes and edges vectors of the LayoutEngine
setNodeSize(int, int) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
  Sets the size of a node.
setNodeSize(int, int) - Method in interface weka.gui.graphvisualizer.LayoutEngine
  This method sets the allowed size of the node
setNodeSplitter(KDTreeNodeSplitter) - Method in class weka.core.neighboursearch.KDTree
  Sets the splitting method to use to split the nodes of the KDTree.
setNodeWidthNormalization(boolean) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Sets whether if a nodes region is normalized or not.
setNoHeaderRow(boolean) - Method in class weka.core.converters.CSVSaver
  Set whether to not write the header row
setNoHeaderRowPresent(boolean) - Method in class weka.core.converters.CSVLoader
  Set whether there is no header row in the data.
setNoise(double) - Method in class weka.classifiers.functions.GaussianProcesses
  Set the level of Gaussian Noise.
setNoisePercent(double) - Method in class weka.datagenerators.classifiers.classification.LED24
  Sets the noise percentage.
setNoiseRate(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Sets the gaussian noise rate.
setNoiseRate(double) - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Sets the percentage of noise set.
setNoiseRate(double) - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Sets the percentage of noise set.
setNoiseVariance(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Sets the noise variance
setNominalAttributes(String) - Method in class weka.core.converters.CSVLoader
  Sets the attribute range to be forced to type nominal.
setNominalBinary(boolean) - Method in class weka.gui.beans.SubstringLabeler
  Set whether the new attribute created should be a nominal binary attribute rather than a numeric binary attribute.
setNominalBinary(boolean) - Method in class weka.gui.beans.SubstringLabelerRules
  Set whether to create a nominal binary attribute in the case when the user has not supplied an explicit label to use for each rule.
setNominalCols(Range) - Method in class weka.datagenerators.ClusterGenerator
  Sets which attributes are nominal.
setNominalIndices(String) - Method in class weka.datagenerators.ClusterGenerator
  Sets which attributes are nominal
setNominalIndices(String) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Set which nominal labels are to be included in the selection.
setNominalIndicesArr(int[]) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Set which values of a nominal attribute are to be used for selection.
setNominalLabels(String) - Method in class weka.filters.unsupervised.attribute.Add
  Set the labels for nominal attribute creation.
setNominalLabelSpecs(Object[]) - Method in class weka.core.converters.CSVLoader
  Set label specifications for nominal attributes.
setNominalStringReplacementValue(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Set the nominal/string replacement value
setNominalToBinaryFilter(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
setNoPruning(boolean) - Method in class weka.classifiers.trees.REPTree
  Set the value of NoPruning.
setNoReplacement(boolean) - Method in class weka.filters.supervised.instance.Resample
  Sets whether instances are drawn with or with out replacement.
setNoReplacement(boolean) - Method in class weka.filters.unsupervised.instance.Resample
  Sets whether instances are drawn with or with out replacement.
setNorm(double) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Set the norm of the instances
setNorm(double) - Method in class weka.classifiers.functions.SGDText
  Set the norm of the instances
setNorm(double) - Method in class weka.core.pmml.jaxbbindings.LinearNorm
  Sets the value of the norm property.
setNormalizationMethod(NNNORMALIZATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Sets the value of the normalizationMethod property.
setNormalizationMethod(NNNORMALIZATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Sets the value of the normalizationMethod property.
setNormalizationMethod(REGRESSIONNORMALIZATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.Regression
  Sets the value of the normalizationMethod property.
setNormalizationMethod(REGRESSIONNORMALIZATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Sets the value of the normalizationMethod property.
setNormalizationScheme(String) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Sets the value of the normalizationScheme property.
setNormalizeAttributes(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
setNormalizedCountTable(COUNTTABLETYPE) - Method in class weka.core.pmml.jaxbbindings.Baseline
  Sets the value of the normalizedCountTable property.
setNormalizeDimWidths(boolean) - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Should we normalize the widths(ranges) of the dimensions (attributes) before selecting the widest one.
setNormalizeDocLength(boolean) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Set whether to normalize the length of each document
setNormalizeDocLength(boolean) - Method in class weka.classifiers.functions.SGDText
  Set whether to normalize the length of each document
setNormalizeDocLength(SelectedTag) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets whether if the word frequencies for a document (instance) should be normalized or not.
setNormalizeNodeWidth(boolean) - Method in class weka.core.neighboursearch.KDTree
  Sets the flag for normalizing the widths of a KDTree Node by the width of the dimension in the universe.
setNormalizeNumericClass(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
setNormContinuous(NormContinuous) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Sets the value of the normContinuous property.
setNormContinuous(NormContinuous) - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Sets the value of the normContinuous property.
setNormContinuous(NormContinuous) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the normContinuous property.
setNormDiscrete(NormDiscrete) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Sets the value of the normDiscrete property.
setNormDiscrete(NormDiscrete) - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Sets the value of the normDiscrete property.
setNormDiscrete(NormDiscrete) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the normDiscrete property.
setNoSizeDetermination(boolean) - Method in class weka.experiment.ClassifierSplitEvaluator
  Sets whether the size determination (train/test/classifer) is skipped.
setNoSizeDetermination(boolean) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Sets whether the size determination (train/test/clusterer) is skipped.
setNoSizeDetermination(boolean) - Method in class weka.experiment.RegressionSplitEvaluator
  Sets whether the size determination (train/test/classifer) is skipped.
setNotCapabilities(Capabilities) - Method in class weka.core.FindWithCapabilities
  Uses the given "not to have" Capabilities for the search.
setNotes(String) - Method in class weka.experiment.Experiment
  Set the user notes.
setNotes(String) - Method in class weka.experiment.RemoteExperiment
  Set the user notes.
setNoteText(String) - Method in class weka.gui.beans.Note
  Set the text to display
setNotificationEnabled(boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  sets whether the notification of changes is enabled
setNotificationEnabled(boolean) - Method in class weka.gui.arffviewer.ArffTableModel
  sets whether the notification of changes is enabled
setNoTrueChildStrategy(NOTRUECHILDSTRATEGY) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Sets the value of the noTrueChildStrategy property.
setNoTrueChildStrategy(NOTRUECHILDSTRATEGY) - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Sets the value of the noTrueChildStrategy property.
setNrOfGoodOperations(int) - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
  Sets the number of "good operations"
setNrOfLookAheadSteps(int) - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
  Sets the number of look-ahead steps
setNumAllConds(double) - Method in class weka.classifiers.rules.RuleStats
  Set the number of all conditions that could appear in a rule in this RuleStats object, if the number set is smaller than 0 (typically -1), then it calcualtes based on the data store
setNumArcs(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Sets the number of arcs for the bayesian net
setNumAttributes(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Sets the number of attributes the dataset should have.
setNumAttributes(int) - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Sets the number of attributes the dataset should have.
setNumAttributes(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
  Sets the number of attributes the dataset should have.
setNumAttributes(int) - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Sets the number of attributes the dataset should have.
setNumAttributes(int) - Method in class weka.datagenerators.ClusterGenerator
  Sets the number of attributes the dataset should have.
setNumAttributes(double) - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Set the number of attributes.
setNumberOfAttributes(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SupportVectors
  Sets the value of the numberOfAttributes property.
setNumberOfAttributes(int) - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Sets the number of attributes (dimensions) the data should be reduced to
setNumberOfClusters(BigInteger) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
  Sets the value of the numberOfClusters property.
setNumberOfCoefficients(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Coefficients
  Sets the value of the numberOfCoefficients property.
setNumberOfDocuments(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TextModel
  Sets the value of the numberOfDocuments property.
setNumberOfFields(BigInteger) - Method in class weka.core.pmml.jaxbbindings.DataDictionary
  Sets the value of the numberOfFields property.
setNumberOfFields(BigInteger) - Method in class weka.core.pmml.jaxbbindings.VectorFields
  Sets the value of the numberOfFields property.
setNumberOfInputs(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NeuralInputs
  Sets the value of the numberOfInputs property.
setNumberOfItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the numberOfItems property.
setNumberOfItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Itemset
  Sets the value of the numberOfItems property.
setNumberOfItemsets(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the numberOfItemsets property.
setNumberOfLayers(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Sets the value of the numberOfLayers property.
setNumberOfNeighbors(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Sets the value of the numberOfNeighbors property.
setNumberOfNeurons(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Sets the value of the numberOfNeurons property.
setNumberOfOutputs(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NeuralOutputs
  Sets the value of the numberOfOutputs property.
setNumberOfRules(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the numberOfRules property.
setNumberOfSets(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Sequence
  Sets the value of the numberOfSets property.
setNumberOfSets(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Sets the value of the numberOfSets property.
setNumberOfSupportVectors(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SupportVectors
  Sets the value of the numberOfSupportVectors property.
setNumberOfTerms(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TextModel
  Sets the value of the numberOfTerms property.
setNumberOfTransactionGroups(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Sets the value of the numberOfTransactionGroups property.
setNumberOfTransactions(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
  Sets the value of the numberOfTransactions property.
setNumberOfTransactions(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
  Sets the value of the numberOfTransactions property.
setNumberOfVectors(BigInteger) - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
  Sets the value of the numberOfVectors property.
setNumBins(int) - Method in class weka.classifiers.meta.RegressionByDiscretization
  Sets the number of bins to divide each selected numeric attribute into
setNumBins(int) - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
setNumBins(int) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Sets the number of bins
setNumBoostingIterations(int) - Method in class weka.classifiers.functions.SimpleLogistic
  Set the value of numBoostingIterations.
setNumBoostingIterations(int) - Method in class weka.classifiers.trees.LMT
  Set the value of numBoostingIterations.
setNumBootstrapRuns(int) - Method in class weka.estimators.UnivariateMixtureEstimator
  Sets the number of Bootstrap runs.
setNumCentroids(int) - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Sets the number of centroids to use.
setNumClasses(int) - Method in class weka.core.TestInstances
  sets the number of classes
setNumClasses(int) - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Sets the number of classes the dataset should have.
setNumClasses(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
  Sets the number of classes the dataset should have.
setNumClusters(int) - Method in class weka.clusterers.Canopy
setNumClusters(int) - Method in class weka.clusterers.EM
  Set the number of clusters (-1 to select by CV).
setNumClusters(int) - Method in class weka.clusterers.FarthestFirst
  set the number of clusters to generate
setNumClusters(int) - Method in class weka.clusterers.HierarchicalClusterer
setNumClusters(int) - Method in class weka.clusterers.MakeDensityBasedClusterer
  Set the number of clusters to generate.
setNumClusters(int) - Method in interface weka.clusterers.NumberOfClustersRequestable
  Set the number of clusters to generate
setNumClusters(int) - Method in class weka.clusterers.SimpleKMeans
  set the number of clusters to generate.
setNumClusters(int) - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Sets the number of clusters the dataset should have.
setNumComponents(int) - Method in class weka.estimators.UnivariateMixtureEstimator
  Sets the number of components to use.
setNumCycles(int) - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Sets the the number of cycles.
setNumDate(int) - Method in class weka.core.CheckScheme
  sets the number of data attributes
setNumDate(int) - Method in class weka.core.TestInstances
  sets the number of date attributes
setNumDecimals(int) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Sets the number of digits to output after the decimal point.
setNumeric(boolean) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Sets if the new Attribute is to be numeric.
setNumericInfo(NumericInfo) - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
  Sets the value of the numericInfo property.
setNumericInfo(NumericInfo) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Sets the value of the numericInfo property.
setNumericReplacementValue(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Set the numeric replacement value
setNumExamples(int) - Method in class weka.datagenerators.ClassificationGenerator
  Sets the number of examples, given by option.
setNumExamples(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Sets the number of examples, given by option.
setNumExamples(int) - Method in class weka.datagenerators.RegressionGenerator
  Sets the number of examples, given by option.
setNumExecutionSlots(int) - Method in class weka.attributeSelection.GreedyStepwise
  Sets the number of threads
setNumExecutionSlots(int) - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
  Set the number of execution slots (threads) to use for building the members of the ensemble.
setNumExecutionSlots(int) - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
  Set the number of execution slots (threads) to use for building the members of the ensemble.
setNumExecutionSlots(int) - Method in class weka.classifiers.trees.RandomForest
  Set the number of execution slots (threads) to use for building the members of the ensemble.
setNumExecutionSlots(int) - Method in class weka.clusterers.EM
  Set the degree of parallelism to use.
setNumExecutionSlots(int) - Method in class weka.clusterers.SimpleKMeans
  Set the degree of parallelism to use.
setNumFeatures(int) - Method in class weka.classifiers.trees.RandomForest
  Set the number of features to use in random selection.
setNumFolds(int) - Method in class weka.classifiers.functions.SMO
  Set the value of numFolds.
setNumFolds(int) - Method in class weka.classifiers.meta.CVParameterSelection
  Sets the number of folds for the cross-validation.
setNumFolds(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Set the value of NumFolds.
setNumFolds(int) - Method in class weka.classifiers.meta.MultiScheme
  Sets the number of folds for cross-validation.
setNumFolds(int) - Method in class weka.classifiers.meta.Stacking
  Sets the number of folds for the cross-validation.
setNumFolds(int) - Method in class weka.classifiers.rules.PART
  Set the value of numFolds.
setNumFolds(int) - Method in class weka.classifiers.trees.J48
  Set the value of numFolds.
setNumFolds(int) - Method in class weka.classifiers.trees.RandomTree
  Set the value of NumFolds.
setNumFolds(int) - Method in class weka.classifiers.trees.REPTree
  Set the value of NumFolds.
setNumFolds(int) - Method in class weka.clusterers.EM
  Set the number of folds to use when cross-validating to find the best number of clusters.
setNumFolds(int) - Method in class weka.experiment.CrossValidationResultProducer
  Set the value of NumFolds.
setNumFolds(int) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Sets the number of folds the dataset is split into.
setNumFolds(int) - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Sets the number of folds the dataset is split into.
setNumFolds(int) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Sets the number of cross-validation folds to use - < 2 means no cross-validation.
setNumInstances(int) - Method in class weka.core.CheckScheme
  Sets the number of instances to use in the datasets (some classifiers might require more instances).
setNumInstances(int) - Method in class weka.core.TestInstances
  sets the number of instances to produce
setNumInstances(Random) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Sets the real number of instances for this cluster.
setNumInstances(int) - Method in class weka.estimators.CheckEstimator
  Sets the number of instances to use in the datasets (some estimators might require more instances).
setNumInstancesRelational(int) - Method in class weka.core.CheckScheme
  sets the number of instances in relational/bag attributes to produce
setNumInstancesRelational(int) - Method in class weka.core.TestInstances
  sets the number of instances in relational/bag attributes to produce
setNumIrrelevant(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
  Sets the number of irrelevant attributes.
setNumIterations(int) - Method in class weka.classifiers.functions.VotedPerceptron
  Set the value of NumIterations.
setNumIterations(int) - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
  Sets the number of bagging iterations
setNumKMeansRuns(int) - Method in class weka.clusterers.EM
  Set the number of runs of SimpleKMeans to perform.
setNumNeighbours(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
  Set the number of nearest neighbours
setNumNominal(int) - Method in class weka.core.CheckScheme
  sets the number of nominal attributes
setNumNominal(int) - Method in class weka.core.TestInstances
  sets the number of nominal attributes
setNumNominalValues(int) - Method in class weka.core.TestInstances
  sets the number of values for nominal attributes
setNumNumeric(int) - Method in class weka.core.CheckScheme
  sets the number of numeric attributes
setNumNumeric(int) - Method in class weka.core.TestInstances
  sets the number of numeric attributes
setNumNumeric(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
  Sets the number of numerical attributes.
setNumOfPredictors(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the numOfPredictors property.
setNumOfRecords(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the numOfRecords property.
setNumOfRecordsWeighted(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the numOfRecordsWeighted property.
setNumRelational(int) - Method in class weka.core.CheckScheme
  sets the number of relational attributes
setNumRelational(int) - Method in class weka.core.TestInstances
  sets the number of relational attributes
setNumRelationalDate(int) - Method in class weka.core.TestInstances
  sets the number of date attributes in a relational attribute
setNumRelationalNominal(int) - Method in class weka.core.TestInstances
  sets the number of nominal attributes in a relational attribute
setNumRelationalNominalValues(int) - Method in class weka.core.TestInstances
  sets the number of values for nominal attributes in a relational attribute
setNumRelationalNumeric(int) - Method in class weka.core.TestInstances
  sets the number of numeric attributes in a relational attribute
setNumRelationalString(int) - Method in class weka.core.TestInstances
  sets the number of string attributes in a relational attribute
setNumRules(int) - Method in class weka.associations.Apriori
  Set the value of numRules.
setNumRulesToFind(int) - Method in class weka.associations.FPGrowth
  Set the desired number of rules to find.
setNumRuns(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Set the value of NumRuns.
setNumSamplesPerRegion(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Set the number of points to uniformly sample from a region (fixed dimensions).
setNumSamplesPerRegion(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the number of points to uniformly sample from a region (fixed dimensions).
setNumString(int) - Method in class weka.core.CheckScheme
  sets the number of string attributes
setNumString(int) - Method in class weka.core.TestInstances
  sets the number of string attributes
setNumThreads(int) - Method in class weka.attributeSelection.CfsSubsetEval
  Sets the number of threads
setNumThreads(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Sets the number of threads
setNumThreads(int) - Method in class weka.classifiers.meta.LogitBoost
  Sets the number of threads
setNumToSelect(int) - Method in class weka.attributeSelection.GreedyStepwise
  Specify the number of attributes to select from the ranked list (if generating a ranking).
setNumToSelect(int) - Method in interface weka.attributeSelection.RankedOutputSearch
  Specify the number of attributes to select from the ranked list.
setNumToSelect(int) - Method in class weka.attributeSelection.Ranker
  Specify the number of attributes to select from the ranked list.
setNumTrees(int) - Method in class weka.classifiers.trees.RandomForest
  Set the value of numTrees.
setNumValues(int) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Sets how many values are retained
setObject(Object) - Method in class weka.core.CheckGOE
  Set the object to work on..
setObject(Object) - Method in class weka.gui.beans.AssociatorCustomizer
  Set the classifier object to be edited
setObject(Object) - Method in class weka.gui.beans.AttributeSummarizerCustomizer
  Set the model performance chart object to customize
setObject(Object) - Method in class weka.gui.beans.ClassAssignerCustomizer
  Set the bean to be edited
setObject(Object) - Method in class weka.gui.beans.ClassifierCustomizer
  Set the classifier object to be edited
setObject(Object) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
  Set the ClassifierPerformanceEvaluator to be customized
setObject(Object) - Method in class weka.gui.beans.ClassValuePickerCustomizer
  Set the bean to be edited
setObject(Object) - Method in class weka.gui.beans.ClustererCustomizer
  Set the Clusterer object to be edited
setObject(Object) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
  Set the object to be edited
setObject(Object) - Method in class weka.gui.beans.DataVisualizerCustomizer
  Set the model performance chart object to customize
setObject(Object) - Method in class weka.gui.beans.FilterCustomizer
  Set the filter bean to be edited
setObject(Object) - Method in class weka.gui.beans.FlowByExpressionCustomizer
setObject(Object) - Method in class weka.gui.beans.ImageSaverCustomizer
  Set the ImageSaver object to customize.
setObject(Object) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
  Set the object to be edited
setObject(Object) - Method in class weka.gui.beans.JoinCustomizer
setObject(Object) - Method in class weka.gui.beans.LoaderCustomizer
  Set the loader to be customized
setObject(Object) - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
  Set the model performance chart object to customize
setObject(Object) - Method in class weka.gui.beans.NoteCustomizer
setObject(Object) - Method in class weka.gui.beans.PredictionAppenderCustomizer
  Set the object to be edited
setObject(Object) - Method in class weka.gui.beans.SaverCustomizer
  Set the saver to be customized
setObject(Object) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
  Set the model saver to be customized
setObject(Object) - Method in class weka.gui.beans.SorterCustomizer
  Set the object to edit
setObject(Object) - Method in class weka.gui.beans.StripChartCustomizer
  Set the StripChart object to be customized
setObject(Object) - Method in class weka.gui.beans.SubstringLabelerCustomizer
  Set the SubstringLabeler to edit
setObject(Object) - Method in class weka.gui.beans.SubstringReplacerCustomizer
  Set the SubstringReplacer to edit
setObject(Object) - Method in class weka.gui.beans.TextSaverCustomizer
  Set the TextSaver object to customize.
setObject(Object) - Method in class weka.gui.beans.TrainTestSplitMakerCustomizer
  Set the TrainTestSplitMaker to be customized
setObject(Object) - Method in class weka.gui.filters.AddUserFieldsCustomizer
  Set the filter to edit.
setOccurrence(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Sequence
  Sets the value of the occurrence property.
setOccurrence(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Sets the value of the occurrence property.
setOffDiagDefault(Double) - Method in class weka.core.pmml.jaxbbindings.Matrix
  Sets the value of the offDiagDefault property.
setOffDiskReportingFrequency(int) - Method in class weka.associations.FPGrowth
  Set how often to report some progress when the data is being read incrementally off of the disk rather than loaded into memory.
setOffscreenAdditionalOpts(String) - Method in class weka.gui.beans.DataVisualizer
  Set the additional options for the offscreen renderer
setOffscreenAdditionalOpts(String) - Method in class weka.gui.beans.ModelPerformanceChart
  Set the additional options for the offscreen renderer
setOffscreenHeight(String) - Method in class weka.gui.beans.DataVisualizer
  Set the height (in pixels) of the offscreen image to generate
setOffscreenHeight(String) - Method in class weka.gui.beans.ModelPerformanceChart
  Set the height (in pixels) of the offscreen image to generate
setOffscreenRendererName(String) - Method in class weka.gui.beans.DataVisualizer
  Set the name of the renderer to use for offscreen chart rendering operations
setOffscreenRendererName(String) - Method in class weka.gui.beans.ModelPerformanceChart
  Set the name of the renderer to use for offscreen chart rendering operations
setOffscreenWidth(String) - Method in class weka.gui.beans.DataVisualizer
  Set the width (in pixels) of the offscreen image to generate.
setOffscreenWidth(String) - Method in class weka.gui.beans.ModelPerformanceChart
  Set the width (in pixels) of the offscreen image to generate.
setOffscreenXAxis(String) - Method in class weka.gui.beans.DataVisualizer
  Set the name of the attribute for the x-axis in offscreen plots.
setOffscreenXAxis(String) - Method in class weka.gui.beans.ModelPerformanceChart
  Set the name of the attribute for the x-axis in offscreen plots.
setOffscreenYAxis(String) - Method in class weka.gui.beans.DataVisualizer
  Set the name of the attribute for the y-axis in offscreen plots.
setOffscreenYAxis(String) - Method in class weka.gui.beans.ModelPerformanceChart
  Set the name of the attribute for the y-axis in offscreen plots.
setOffset(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
  Sets the value of the offset property.
setOffsetValue(Double) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the offsetValue property.
setOffsetVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the offsetVariable property.
setOkButtonText(String) - Method in class weka.gui.GenericObjectEditor.GOEPanel
  Allows customization of the action label on the dialog.
setOmega(double) - Method in class weka.classifiers.functions.supportVector.Puk
  Sets the omega value.
setOn(boolean) - Method in class weka.gui.visualize.ClassPanel
  Enables the panel
setOnDemandDirectory(File) - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Sets the directory that will be searched for cost files when loading on demand.
setOnDemandDirectory(File) - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
  Sets the directory that will be searched for cost files when loading on demand.
setOperator(String) - Method in class weka.core.pmml.jaxbbindings.SetPredicate
  Sets the value of the operator property.
setOperator(String) - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
  Sets the value of the operator property.
setOptimalColumnWidth(int) - Method in class weka.gui.JTableHelper
  sets the optimal column width for the given column
setOptimalColumnWidth(JTable, int) - Static method in class weka.gui.JTableHelper
  sets the optimal column width for the given column
setOptimalColumnWidth() - Method in class weka.gui.JTableHelper
  sets the optimal column width for all columns
setOptimalColumnWidth(JTable) - Static method in class weka.gui.JTableHelper
  sets the optimal column width for alls column if the given table
setOptimalColWidth() - Method in class weka.gui.arffviewer.ArffPanel
  calculates the optimal column width for the current column
setOptimalColWidths() - Method in class weka.gui.arffviewer.ArffPanel
  calculates the optimal column widths for all columns
setOptimalColWidths() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  sets the optimal column width for all columns
setOptimalHeaderWidth(int) - Method in class weka.gui.JTableHelper
  sets the optimal header width for the given column
setOptimalHeaderWidth(JTable, int) - Static method in class weka.gui.JTableHelper
  sets the optimal header width for the given column
setOptimalHeaderWidth() - Method in class weka.gui.JTableHelper
  sets the optimal header width for all columns
setOptimalHeaderWidth(JTable) - Static method in class weka.gui.JTableHelper
  sets the optimal header width for alls column if the given table
setOptimizations(int) - Method in class weka.classifiers.rules.JRip
  Sets the number of optimization runs
setOptimumLiftGraph(OptimumLiftGraph) - Method in class weka.core.pmml.jaxbbindings.LiftData
  Sets the value of the optimumLiftGraph property.
setOptionHandler(OptionHandler) - Method in class weka.core.CheckOptionHandler
  Set the OptionHandler to work on..
setOptions(String[]) - Method in class weka.associations.Apriori
  Parses a given list of options.
setOptions(String[]) - Method in class weka.associations.CheckAssociator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.associations.FilteredAssociator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.associations.FPGrowth
  Parses a given list of options.
setOptions(String[]) - Method in class weka.associations.SingleAssociatorEnhancer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.BestFirst
  Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.CfsSubsetEval
  Parses and sets a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.CheckAttributeSelection
  Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.CorrelationAttributeEval
  Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.GainRatioAttributeEval
  Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.GreedyStepwise
  Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.InfoGainAttributeEval
  Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.OneRAttributeEval
  Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.PrincipalComponents
  Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.Ranker
  Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.ReliefFAttributeEval
  Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  Parses a given list of options.
setOptions(String[]) - Method in class weka.attributeSelection.WrapperSubsetEval
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.AbstractClassifier
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.BayesNet
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.NaiveBayes
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.BayesNetGenerator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.HillClimber
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.K2
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.TAN
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.HillClimber
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.K2
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.TAN
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.BVDecompose
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.BVDecomposeSegCVSub
  Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.classifiers.CheckClassifier
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.CheckSource
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.classifiers.evaluation.output.prediction.CSV
  Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.classifiers.functions.GaussianProcesses
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.LinearRegression
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.Logistic
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.MultilayerPerceptron
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.SGD
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.SGDText
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.SimpleLinearRegression
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.SimpleLogistic
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.SMO
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.SMOreg
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.CachedKernel
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.CheckKernel
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.Kernel
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.Puk
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.RBFKernel
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.RegSMO
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.StringKernel
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.functions.VotedPerceptron
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.lazy.IBk
  Parses a given list of options.
setOptions(int, int, int) - Method in class weka.classifiers.lazy.kstar.KStarNominalAttribute
  Sets the options.
setOptions(int, int, int) - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
  Set options.
setOptions(String[]) - Method in class weka.classifiers.lazy.KStar
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.lazy.LWL
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.AdaBoostM1
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.AdditiveRegression
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.Bagging
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.CVParameterSelection
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.FilteredClassifier
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.LogitBoost
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.MultiClassClassifier
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.MultiScheme
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.RandomSubSpace
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.RegressionByDiscretization
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.Stacking
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.meta.Vote
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.misc.InputMappedClassifier
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.misc.SerializedClassifier
  Parses the options for this object.
setOptions(String[]) - Method in class weka.classifiers.MultipleClassifiersCombiner
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.RandomizableClassifier
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.rules.DecisionTable
  Parses the options for this object.
setOptions(String[]) - Method in class weka.classifiers.rules.JRip
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.rules.OneR
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.rules.PART
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.SingleClassifierEnhancer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.HoeffdingTree
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.J48
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.LMT
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.m5.M5Base
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.M5P
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.RandomForest
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.RandomTree
  Parses a given list of options.
setOptions(String[]) - Method in class weka.classifiers.trees.REPTree
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.AbstractClusterer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.Canopy
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.CheckClusterer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.Cobweb
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.EM
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.FarthestFirst
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.FilteredClusterer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.HierarchicalClusterer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.MakeDensityBasedClusterer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.RandomizableClusterer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.RandomizableDensityBasedClusterer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.SimpleKMeans
  Parses a given list of options.
setOptions(String[]) - Method in class weka.clusterers.SingleClustererEnhancer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.Check
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.CheckGOE
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.CheckOptionHandler
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.CheckScheme
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.converters.AbstractFileSaver
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.converters.ArffSaver
  Parses the options for this object.
setOptions(String[]) - Method in class weka.core.converters.C45Saver
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.converters.CSVLoader
setOptions(String[]) - Method in class weka.core.converters.CSVSaver
  Valid options are:

setOptions(String[]) - Method in class weka.core.converters.DatabaseLoader
  Sets the options.
setOptions(String[]) - Method in class weka.core.converters.DatabaseSaver
  Sets the options.
setOptions(String[]) - Method in class weka.core.converters.JSONSaver
  Parses the options for this object.
setOptions(String[]) - Method in class weka.core.converters.LibSVMSaver
  Parses the options for this object.
setOptions(String[]) - Method in class weka.core.converters.MatlabSaver
  Parses the options for this object.
setOptions(String[]) - Method in class weka.core.converters.SVMLightSaver
  Parses the options for this object.
setOptions(String[]) - Method in class weka.core.converters.TextDirectoryLoader
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.converters.XRFFSaver
  Parses the options for this object.
setOptions(String[]) - Method in class weka.core.FilteredDistance
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.FindWithCapabilities
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.Javadoc
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.ListOptions
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.MinkowskiDistance
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.BallTree
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.CoverTree
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.KDTree
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.LinearNNSearch
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.NormalizableDistance
  Parses a given list of options.
setOptions(String[]) - Method in interface weka.core.OptionHandler
  Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.core.OptionHandlerJavadoc
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.stemmers.SnowballStemmer
  Parses the options.
setOptions(String[]) - Method in class weka.core.stopwords.AbstractFileBasedStopwords
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.stopwords.AbstractStopwords
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.stopwords.MultiStopwords
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.TechnicalInformationHandlerJavadoc
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.TestInstances
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
  Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.tokenizers.NGramTokenizer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.core.tokenizers.Tokenizer
  Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.datagenerators.ClassificationGenerator
  Sets the options.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.BayesNet
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.LED24
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.RandomRBF
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.RDG1
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.regression.Expression
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.ClusterDefinition
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.clusterers.SubspaceCluster
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.ClusterGenerator
  Sets the options.
setOptions(String[]) - Method in class weka.datagenerators.DataGenerator
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.datagenerators.RegressionGenerator
  Sets the options.
setOptions(String[]) - Method in class weka.estimators.CheckEstimator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.estimators.Estimator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.estimators.UnivariateMixtureEstimator
  Sets options based on the given array of strings.
setOptions(String[]) - Method in class weka.experiment.AveragingResultProducer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.ClassifierSplitEvaluator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.CrossValidationResultProducer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.CSVResultListener
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.DatabaseResultProducer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.Experiment
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.InstanceQuery
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.LearningRateResultProducer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.PairedTTester
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.RandomSplitResultProducer
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.RegressionSplitEvaluator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.experiment.ResultMatrix
  Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.filters.CheckSource
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.Filter
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.MultiFilter
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.AddClassification
  Parses the options for this object.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.AttributeSelection
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.ClassOrder
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.Discretize
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.NominalToBinary
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.attribute.PartitionMembership
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.instance.Resample
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.instance.SpreadSubsample
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
  Parses a given list of options controlling the behaviour of this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Add
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddCluster
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddExpression
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddID
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddNoise
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddUserFields
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddValues
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ClassAssigner
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Copy
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Discretize
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.FirstOrder
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MathExpression
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NominalToString
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Normalize
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericToNominal
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericTransform
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Parses a list of options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Remove
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RemoveByName
  Parses the options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RemoveType
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RemoveUseless
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Reorder
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.SortLabels
  Parses the options for this object.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.StringToNominal
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.SwapValues
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.Randomize
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveRange
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.Resample
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Parses a given list of options.
setOptions(String[]) - Method in class weka.filters.unsupervised.instance.SubsetByExpression
  Parses a given list of options.
setOptions(String[]) - Method in class weka.gui.explorer.AbstractPlotInstances
  Sets the OptionHandler's options using the given list.
setOptions(String[]) - Method in class weka.gui.Main
  Parses the options for this object.
setOptions(String[]) - Method in class weka.gui.scripting.Script
  Parses a given list of options.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.DataField
  Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
  Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.DerivedField
  Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.MiningField
  Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.ParameterField
  Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.ResultField
  Sets the value of the optype property.
setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.Target
  Sets the value of the optype property.
setOrder(double) - Method in class weka.core.MinkowskiDistance
  Sets the order.
setOrig(double) - Method in class weka.core.pmml.jaxbbindings.LinearNorm
  Sets the value of the orig property.
setOriginalCoords(Vector<Point>) - Method in class weka.gui.beans.MetaBean
  sets the vector containing the original coordinates (instances of class Point) for the inputs
setOutlierFactor(double) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Sets the factor for determining the thresholds for outliers.
setOutliers(OUTLIERTREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.MiningField
  Sets the value of the outliers property.
setOutliers(OUTLIERTREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.NormContinuous
  Sets the value of the outliers property.
setOutput(Output) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Sets the value of the output property.
setOutput(Output) - Method in class weka.core.pmml.jaxbbindings.Regression
  Sets the value of the output property.
setOutput(PrintWriter) - Method in class weka.datagenerators.DataGenerator
  Sets the print writer.
setOutputAdditionalStats(boolean) - Method in class weka.classifiers.functions.LinearRegression
  Set whether to output additional statistics (such as std.
setOutputAdditionalStats(boolean) - Method in class weka.classifiers.functions.SimpleLinearRegression
  Set whether to output additional statistics (such as std.
setOutputClassification(boolean) - Method in class weka.filters.supervised.attribute.AddClassification
  Set whether the classification of the classifier is output.
setOutputColumn(String) - Method in class weka.core.pmml.jaxbbindings.MapValues
  Sets the value of the outputColumn property.
setOutputDetailedInfo(boolean) - Method in class weka.attributeSelection.CorrelationAttributeEval
  Set whether to output per-value correlation for nominal attributes
setOutputDistribution(boolean) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Sets whether to output the class distribution or not.
setOutputDistribution(boolean) - Method in class weka.filters.supervised.attribute.AddClassification
  Set whether the Distribution of the classifier is output.
setOutputErrorFlag(boolean) - Method in class weka.filters.supervised.attribute.AddClassification
  Set whether the classification of the classifier is output.
setOutputFile(File) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Sets the output file to write to.
setOutputFile(File) - Method in class weka.experiment.CrossValidationResultProducer
  Set the value of OutputFile.
setOutputFile(File) - Method in class weka.experiment.CSVResultListener
  Set the value of OutputFile.
setOutputFile(File) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Set the value of OutputFile.
setOutputFile(File) - Method in class weka.experiment.RandomSplitResultProducer
  Set the value of OutputFile.
setOutputFilename(boolean) - Method in class weka.core.converters.TextDirectoryLoader
  Sets whether the filename will be stored as an extra attribute.
setOutputFileName(String) - Method in class weka.experiment.CSVResultListener
  Set the value of OutputFileName.
setOutputFilename(String) - Method in class weka.gui.GenericPropertiesCreator
  sets the file to output the properties for the GEO to
setOutputFormat(int) - Method in class weka.core.Debug.Clock
  sets the format of the output
setOutputFormatFromDialog() - Method in class weka.gui.experiment.ResultsPanel
  displays the Dialog for the output format and sets the chosen settings, if the user approves.
setOutputItemSets(boolean) - Method in class weka.associations.Apriori
  Sets whether itemsets are output as well
setOutputNeuron(String) - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
  Sets the value of the outputNeuron property.
setOutputOffsetMultiplier(boolean) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
  Set whether an additional attribute "Offset" is generated per Outlier/ExtremeValue attribute pair that lists the multiplier the value is off the median: value = median + 'multiplier' * IQR.
setOutputPerClassInfoRetrievalStats(boolean) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Set whether to output per-class information retrieval statistics (nominal class only).
setOutputProbsForSVM(boolean) - Method in class weka.classifiers.functions.SGDText
  Set whether to fit a logistic regression (itself trained using SGD) to the outputs of the SVM (if an SVM is being learned).
setOutputs(Vector<Object>) - Method in class weka.gui.beans.MetaBean
setOutputTypes(String) - Method in class weka.core.Debug.DBO
  Switches the outputs on that are requested from the option O
setOutputWordCounts(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets whether output instances contain 0 or 1 indicating word presence, or word counts.
setOverwriteWarning(boolean) - Method in class weka.gui.ConverterFileChooser
  Whether a warning is popped up if the file that is to be saved already exists (only save dialog).
setOwner(CapabilitiesHandler) - Method in class weka.core.Capabilities
  sets the owner of this capabilities object
setP(double) - Method in class weka.classifiers.BVDecomposeSegCVSub
  Set the proportion of instances that are common between two training sets used to train a classifier.
setPaint(Paint) - Method in class weka.gui.visualize.PostscriptGraphics
setPaintMode() - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
setPanelHeight(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the height of the visualization
setPanelWidth(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the width of the visualization
setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.BuiltInArithmetic
  Set the structure of the parameters that are expected as input by this function.
setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.BuiltInMath
  Set the structure of the parameters that are expected as input by this function.
setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.BuiltInString
  Set the structure of the parameters that are expected as input by this function.
setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.DefineFunction
  Set the structure of the parameters that are expected as input by this function.
setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.Function
  Set the structure of the parameters that are expected as input by this function.
setParameterName(String) - Method in class weka.core.pmml.jaxbbindings.PCell
  Sets the value of the parameterName property.
setParameterName(String) - Method in class weka.core.pmml.jaxbbindings.PPCell
  Sets the value of the parameterName property.
SetParent(int, int) - Method in class weka.classifiers.bayes.net.ParentSet
  sets index parent of parent specified by index
setParent(ClusterGenerator) - Method in class weka.datagenerators.ClusterDefinition
  sets the parent datagenerator this cluster belongs to
setParent(SubspaceCluster) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  sets the parent datagenerator this cluster belongs to
setParent(Container) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  sets the new parent frame
setParent(Edge) - Method in class weka.gui.treevisualizer.Node
  Set the value of parent.
setParentField(String) - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Sets the value of the parentField property.
setParentFrame(JFrame) - Method in class weka.gui.SetInstancesPanel
  Sets the frame, this panel resides in.
setParentLevelField(String) - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Sets the value of the parentLevelField property.
setParentSeparator(MarginCalculator.JunctionTreeSeparator) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
setParentWindow(Window) - Method in class weka.gui.beans.AssociatorCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.AttributeSummarizerCustomizer
  Set the parent window of this dialog
setParentWindow(Window) - Method in class weka.gui.beans.ClassAssignerCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.ClassifierCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.ClassValuePickerCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.ClustererCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
setParentWindow(Window) - Method in interface weka.gui.beans.CustomizerCloseRequester
  A reference to the parent is passed in
setParentWindow(Window) - Method in class weka.gui.beans.DataVisualizerCustomizer
  Set the parent window of this dialog
setParentWindow(Window) - Method in class weka.gui.beans.FilterCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.FlowByExpressionCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.ImageSaverCustomizer
  Set the parent window of this dialog
setParentWindow(Window) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.JoinCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.LoaderCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
  Set the parent window of this dialog
setParentWindow(Window) - Method in class weka.gui.beans.NoteCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.PredictionAppenderCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.SaverCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
setParentWindow(Window) - Method in class weka.gui.beans.SorterCustomizer
  Set the parent window for this dialog
setParentWindow(Window) - Method in class weka.gui.beans.SubstringLabelerCustomizer
  Set a reference to the parent window/dialog containing this panel
setParentWindow(Window) - Method in class weka.gui.beans.SubstringReplacerCustomizer
  Set a reference to the parent window/dialog containing this panel
setParentWindow(Window) - Method in class weka.gui.beans.TextSaverCustomizer
  Set the parent window of this dialog
setPartialScore(Double) - Method in class weka.core.pmml.jaxbbindings.Attribute
  Sets the value of the partialScore property.
setPartition(Partition) - Method in class weka.core.pmml.jaxbbindings.Cluster
  Sets the value of the partition property.
setPartition(Partition) - Method in class weka.core.pmml.jaxbbindings.TargetValue
  Sets the value of the partition property.
setPartitionGenerator(PartitionGenerator) - Method in class weka.filters.supervised.attribute.PartitionMembership
  Set the generator for use in filtering
setPassword(String) - Method in interface weka.core.converters.DatabaseConverter
setPassword(String) - Method in class weka.core.converters.DatabaseLoader
  Sets user password for the database
setPassword(String) - Method in class weka.core.converters.DatabaseSaver
  Sets the database password.
setPassword(String) - Method in class weka.experiment.DatabaseUtils
  Set the database password.
setPassword(String) - Method in class weka.gui.sql.ConnectionPanel
  sets the Password.
setPasteBuffer(StringBuffer) - Method in class weka.gui.beans.KnowledgeFlowApp
  Set the contents of the "paste" buffer and enable the paste from cliboard toolbar button
setPattern(SelectedTag) - Method in class weka.datagenerators.clusterers.BIRCHCluster
  Sets the pattern type.
setPCol(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Sets the value of the pCol property.
setPercent(int) - Method in class weka.filters.unsupervised.attribute.AddNoise
  Sets the size of noise data, as a percentage of the original set.
setPercent(double) - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Sets the percent the attributes (dimensions) of the data should be reduced to
setPercent() - Method in class weka.gui.visualize.MatrixPanel
  Calculates the percentage to resample
setPercentage(double) - Method in class weka.filters.unsupervised.instance.RemovePercentage
  Sets the percentage of intances to select.
setPercentCompleted(int) - Method in class weka.gui.boundaryvisualizer.RemoteResult
  Set the progress for this row so far
setPeriod(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
  Sets the value of the period property.
setPeriodicPruning(int) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Set how often to prune the dictionary
setPeriodicPruning(int) - Method in class weka.classifiers.functions.SGDText
  Set how often to prune the dictionary
setPeriodicPruning(double) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets the rate at which the dictionary is periodically pruned, as a percentage of the dataset size.
setPeriodicPruningRate(int) - Method in class weka.clusterers.Canopy
  Set the how often to prune low density canopies during training
setPerturbationFraction(double) - Method in class weka.datagenerators.classifiers.classification.Agrawal
  Sets the perturbation fraction.
setPhase(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
  Sets the value of the phase property.
setPhi(Double) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
  Sets the value of the phi property.
setPivot(Instance) - Method in class weka.core.neighboursearch.balltrees.BallNode
  Sets the pivot/centre of this nodes ball.
setPixHeight(double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the height of a pixel
setPixWidth(double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the width of a pixel
setPlotCompanion(Plot2DCompanion) - Method in class weka.gui.visualize.Plot2D
  Set a companion class.
setPlotList(ArrayList<PlotData2D>) - Method in class weka.gui.visualize.LegendPanel
  Set the list of plots to generate legend entries for
setPlotName(String) - Method in class weka.gui.visualize.PlotData2D
  Set the name of this plot
setPlotNameHTML(String) - Method in class weka.gui.visualize.PlotData2D
  Set the plot name for use in a tool tip text.
setPlotShapes(ArrayList<Integer>) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Set the vector of plot shapes to use;
setPlotSizes(ArrayList<Object>) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Set the vector of plot sizes to use
setPlotTrainingData(boolean) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Set whether to superimpose the training data plot
setPlus(int, double) - Method in class weka.core.matrix.DoubleVector
  Adds a value to an element
setPMMLVersion(Document) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
  Set the version of PMML used for this model.
setPMMLVersion(Document) - Method in interface weka.core.pmml.PMMLModel
  Set the version of the PMML.
setPoints(MiddleOutConstructor.TempNode, int, int, int[]) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Sets the points of an anchor node.
setPointSizeProportionalToMargin(boolean) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Set whether the point size should be proportional to the prediction margin (classification only).
setPoissonDistribution(PoissonDistribution) - Method in class weka.core.pmml.jaxbbindings.Alternate
  Sets the value of the poissonDistribution property.
setPoissonDistribution(PoissonDistribution) - Method in class weka.core.pmml.jaxbbindings.Baseline
  Sets the value of the poissonDistribution property.
setPoolSize(int) - Method in class weka.attributeSelection.CfsSubsetEval
  Sets the number of threads
setPoolSize(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Sets the number of threads
setPoolSize(int) - Method in class weka.classifiers.meta.LogitBoost
  Sets the number of threads
setPopulationSize(int) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
setPopulationSize(int) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
setPopup(JPopupMenu) - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
  sets the JPopupMenu to display again after closing the dialog.
setPosition(int, int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  set position of node
setPosition(int, int, int, ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  Set position of node.
setPositiveIndex(int) - Method in class weka.associations.FPGrowth
  Set the index of the attribute value to consider as positive for binary attributes in normal dense instances.
setPositiveTargetFieldDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.ROC
  Sets the value of the positiveTargetFieldDisplayValue property.
setPositiveTargetFieldValue(String) - Method in class weka.core.pmml.jaxbbindings.ROC
  Sets the value of the positiveTargetFieldValue property.
setPostProcessor(CheckScheme.PostProcessor) - Method in class weka.core.CheckScheme
  sets the PostProcessor to use
setPostProcessor(CheckEstimator.PostProcessor) - Method in class weka.estimators.CheckEstimator
  sets the PostProcessor to use
setPParameter(double) - Method in class weka.core.pmml.jaxbbindings.Minkowski
  Sets the value of the pParameter property.
setPreBuiltClassifiers(File[]) - Method in class weka.classifiers.meta.Vote
  Set the paths to pre-built serialized classifiers to load and include in the ensemble
setPrecision(Double) - Method in class weka.core.pmml.jaxbbindings.VerificationField
  Sets the value of the precision property.
setPreComputeCorrelationMatrix(boolean) - Method in class weka.attributeSelection.CfsSubsetEval
  Set whether to pre-compute the full correlation matrix at the outset, rather than computing individual correlations lazily (as needed) during the search.
SetPredicate - Class in weka.core.pmml.jaxbbindings
  Java class for SetPredicate element declaration.
SetPredicate() - Constructor for class weka.core.pmml.jaxbbindings.SetPredicate
setPredictionIntervals(double[][]) - Method in class weka.classifiers.evaluation.NumericPrediction
  Sets the prediction intervals for this prediction.
setPredictorName(String) - Method in class weka.core.pmml.jaxbbindings.PPCell
  Sets the value of the predictorName property.
setPredTargetColumn(boolean) - Method in class weka.experiment.ClassifierSplitEvaluator
  Set the flag for prediction and target output.
setPreferredScrollableViewportSize(Dimension) - Method in class weka.gui.AttributeSelectionPanel
setPrefix(String) - Method in class weka.gui.beans.SerializedModelSaver
  Set the prefix to prepend to the model file names.
setPreprocessing(Filter) - Method in class weka.filters.unsupervised.attribute.KernelFilter
  Sets the filter to use for preprocessing (use the AllFilter for no preprocessing)
setPreserveInstancesOrder(boolean) - Method in class weka.clusterers.SimpleKMeans
  Sets whether order of instances must be preserved.
setPreserveOrder(boolean) - Method in class weka.gui.beans.CrossValidationFoldMaker
  Sets whether the order of the incoming instances is to be preserved under cross-validation (no randomization or stratification is done in this case).
setPrintColNames(boolean) - Method in class weka.experiment.ResultMatrix
  sets whether the column names or numbers instead are printed.
setPrintLeafModels(boolean) - Method in class weka.classifiers.trees.HoeffdingTree
setPrintNewick(boolean) - Method in class weka.clusterers.HierarchicalClusterer
setPrintRowNames(boolean) - Method in class weka.experiment.ResultMatrix
  sets whether the row names or numbers instead are printed deactivating automatically sets m_EnumerateColNames to TRUE.
setPrintTrees(boolean) - Method in class weka.classifiers.trees.RandomForest
  Set whether to print the individual ensemble trees in the output
setPriorProbability(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.TargetValue
  Sets the value of the priorProbability property.
setPriors(Instances) - Method in class weka.classifiers.evaluation.Evaluation
  Sets the class prior probabilities.
setPriors(Instances) - Method in class weka.classifiers.Evaluation
  Sets the class prior probabilities.
setProbability(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
  Sets the value of the probability property.
setProducer(String) - Method in class weka.associations.AssociationRules
  Set a textual description of the scheme that produced these rules.
setProlog(boolean) - Method in class weka.core.OptionHandlerJavadoc
  sets whether to add the "Valid options are..." prolog
setProlog(boolean) - Method in class weka.core.TechnicalInformationHandlerJavadoc
  sets whether to add the "Valid options are..." prolog
setProperty(String) - Method in class weka.core.pmml.jaxbbindings.Value
  Sets the value of the property property.
setProperty(String, String) - Method in class weka.core.ProtectedProperties
  Overrides a method to prevent the properties from being modified.
setPropertyArray(Object) - Method in class weka.experiment.Experiment
  Sets the array of values to set the custom property to.
setPropertyArray(Object) - Method in class weka.experiment.RemoteExperiment
  Sets the array of values to set the custom property to.
setPropertyPath(PropertyNode[]) - Method in class weka.experiment.Experiment
  Sets the path of properties taken to get to the custom property to iterate over.
setPropertyPath(PropertyNode[]) - Method in class weka.experiment.RemoteExperiment
  Sets the path of properties taken to get to the custom property to iterate over.
setPRow(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Sets the value of the pRow property.
setPruningMethod(SelectedTag) - Method in class weka.classifiers.functions.supportVector.StringKernel
  Sets the method used to for pruning.
setPValue(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Sets the value of the pValue property.
setPValueAlpha(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the pValueAlpha property.
setPValueFinal(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the pValueFinal property.
setPValueInitial(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the pValueInitial property.
setQuality(float) - Method in class weka.gui.visualize.JPEGWriter
  sets the quality the JPEG is saved in.
setQuantileLimit(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.Quantile
  Sets the value of the quantileLimit property.
setQuantileValue(double) - Method in class weka.core.pmml.jaxbbindings.Quantile
  Sets the value of the quantileValue property.
setQuery(String) - Method in class weka.core.converters.DatabaseLoader
  Sets the query to execute against the database
setQuery(String) - Method in class weka.experiment.InstanceQuery
  Set the query to execute against the database
setQuery(String) - Method in class weka.gui.sql.QueryPanel
  sets the query in the textarea.
setQueryPanel(QueryPanel) - Method in class weka.gui.sql.ResultPanel
  sets the QueryPanel to use for displaying the query
setQuoteDelimiters(String) - Method in class weka.gui.scripting.SyntaxDocument
  Sets the quote delimiter characters to use.
setQuoteEscape(String) - Method in class weka.gui.scripting.SyntaxDocument
  Sets the character to use for escaping a quote character.
setRadius(double) - Method in class weka.core.neighboursearch.balltrees.BallNode
  Sets the radius of the node's ball.
setRandom(Random) - Method in class weka.datagenerators.DataGenerator
  Sets the random generator.
setRandomizeData(boolean) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Set to true if dataset is to be randomized.
setRandomizeData(boolean) - Method in class weka.experiment.RandomSplitResultProducer
  Set to true if dataset is to be randomized
setRandomLiftGraph(RandomLiftGraph) - Method in class weka.core.pmml.jaxbbindings.LiftData
  Sets the value of the randomLiftGraph property.
setRandomOrder(boolean) - Method in class weka.classifiers.bayes.net.search.global.K2
  Set random order flag
setRandomOrder(boolean) - Method in class weka.classifiers.bayes.net.search.local.K2
  Set random order flag
setRandomSeed(int) - Method in class weka.classifiers.functions.SMO
  Set the value of randomSeed.
setRandomSeed(int) - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
  Sets the seed for random number generator.
setRandomSeed(int) - Method in class weka.filters.supervised.instance.Resample
  Sets the random number seed.
setRandomSeed(int) - Method in class weka.filters.supervised.instance.SpreadSubsample
  Sets the random number seed.
setRandomSeed(int) - Method in class weka.filters.unsupervised.attribute.AddNoise
  Sets the random number seed.
setRandomSeed(int) - Method in class weka.filters.unsupervised.instance.Randomize
  Set the random number generator seed value.
setRandomSeed(int) - Method in class weka.filters.unsupervised.instance.Resample
  Sets the random number seed.
setRandomSeed(int) - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Sets the random number seed.
setRandomWidthFactor(double) - Method in class weka.classifiers.meta.MultiClassClassifier
  Sets the multiplier when generating random codes.
setRange(String) - Method in class weka.core.InstanceComparator
  Sets the attribute range to use for comparison.
setRanges(String) - Method in class weka.core.Range
  Sets the ranges from a string representation.
setRanges(Range[]) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Sets the list of possible Ranges to choose from.
setRank(BigInteger) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the rank property.
setRankBasis(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the rankBasis property.
setRanking(boolean) - Method in class weka.attributeSelection.AttributeSelection
  produce a ranking (if possible with the set search and evaluator)
setRanking(int[][]) - Method in class weka.experiment.ResultMatrix
  sets the ranking data based on the wins.
setRankingQuality(Double) - Method in class weka.core.pmml.jaxbbindings.LiftData
  Sets the value of the rankingQuality property.
setRankOrder(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the rankOrder property.
setRawOutput(boolean) - Method in class weka.experiment.CrossValidationResultProducer
  Set to true if raw split evaluator output is to be saved
setRawOutput(boolean) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Set to true if raw split evaluator output is to be saved.
setRawOutput(boolean) - Method in class weka.experiment.RandomSplitResultProducer
  Set to true if raw split evaluator output is to be saved
setReadable(String) - Method in class weka.core.Tag
  Sets the string description of the Tag.
setReadIncrementally(boolean) - Method in class weka.gui.SetInstancesPanel
  Sets whether or not instances should be read incrementally by the Loader.
setReadOnly(boolean) - Method in class weka.gui.arffviewer.ArffPanel
  sets whether the model is read-only
setReadOnly(boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  sets whether the model is read-only
setReadOnly(boolean) - Method in class weka.gui.arffviewer.ArffTable
  sets whether the model is read-only
setReadOnly(boolean) - Method in class weka.gui.arffviewer.ArffTableModel
  sets whether the model is read-only
setREALSparseArray(REALSparseArray) - Method in class weka.core.pmml.jaxbbindings.VectorInstance
  Sets the value of the realSparseArray property.
setReasonCode(String) - Method in class weka.core.pmml.jaxbbindings.Attribute
  Sets the value of the reasonCode property.
setReasonCode(String) - Method in class weka.core.pmml.jaxbbindings.Characteristic
  Sets the value of the reasonCode property.
setReasonCodeAlgorithm(String) - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Sets the value of the reasonCodeAlgorithm property.
setRecordCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.ModelVerification
  Sets the value of the recordCount property.
setRecordCount(Double) - Method in class weka.core.pmml.jaxbbindings.Node
  Sets the value of the recordCount property.
setRecordCount(Double) - Method in class weka.core.pmml.jaxbbindings.RuleSet
  Sets the value of the recordCount property.
setRecordCount(double) - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
  Sets the value of the recordCount property.
setRecordCount(Double) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Sets the value of the recordCount property.
setRecordCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Sets the value of the recordCount property.
setReducedErrorPruning(boolean) - Method in class weka.classifiers.rules.PART
  Set the value of reducedErrorPruning.
setReducedErrorPruning(boolean) - Method in class weka.classifiers.trees.J48
  Set the value of reducedErrorPruning.
setReduceNumberOfDistanceCalcsViaCanopies(boolean) - Method in class weka.clusterers.SimpleKMeans
  Set whether to use canopies to reduce the number of distance computations required
setRefer(String) - Method in class weka.gui.treevisualizer.Node
  Set the value of refer.
SetReference - Class in weka.core.pmml.jaxbbindings
  Java class for SetReference element declaration.
SetReference() - Constructor for class weka.core.pmml.jaxbbindings.SetReference
setReferencePoint(Double) - Method in class weka.core.pmml.jaxbbindings.Parameter
  Sets the value of the referencePoint property.
setRefreshFreq(int) - Method in class weka.gui.beans.StripChart
  Set how often (in x axis points) to refresh the display
setRegex(boolean) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Set whether this is a regular expression match or not
setRegex(boolean) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Set whether this is a regular expression match or not
setRegOptimizer(RegOptimizer) - Method in class weka.classifiers.functions.SMOreg
  sets the learning algorithm
setRegressionModel(RegressionModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the regressionModel property.
setRegressionTree(boolean) - Method in class weka.classifiers.trees.m5.Rule
  Set the value of regressionTree.
setRegressionTree(boolean) - Method in class weka.classifiers.trees.m5.RuleNode
  Set the value of regressionTree.
setRelation(String) - Method in class weka.core.TestInstances
  sets the name of the relation
setRelationalClassFormat(Instances) - Method in class weka.core.TestInstances
  sets the structure for the relational class attribute
setRelationalFormat(int, Instances) - Method in class weka.core.TestInstances
  sets the structure for the bags for the relational attribute
setRelationFind(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Sets the regular expression to use on the relation name.
setRelationForTableName(boolean) - Method in class weka.core.converters.DatabaseSaver
  En/Dis-ables that the relation name is used for the name of the table (default enabled).
setRelationName(String) - Method in class weka.core.Instances
  Sets the relation's name.
setRelationName(String) - Method in class weka.datagenerators.DataGenerator
  Sets the relation name the dataset should have.
setRelationNameForFilename(boolean) - Method in class weka.gui.beans.Saver
  Set whether to use the relation name as the primary part of the filename.
setRelationReplace(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Sets the replacement string to use on the relation name.
setRemoteHosts(DefaultListModel) - Method in class weka.experiment.RemoteExperiment
  Set the list of remote host names
setRemoteHosts(Vector<String>) - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
  Set a list of host names of machines to distribute processing to
setRemoveAllMissingCols(boolean) - Method in class weka.associations.Apriori
  Remove columns containing all missing values.
setRemoveClassColumn(boolean) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Set whether the class column should be removed from the data.
setRemoveFilterName(boolean) - Method in class weka.experiment.ResultMatrix
  sets whether to remove the filter classname from the dataset name.
setRemoveOldClass(boolean) - Method in class weka.filters.supervised.attribute.AddClassification
  Set whether the old class attribute is removed.
setRemoveUnused(boolean) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
  Sets whether unused attributes (ones that are not covered by any of the ranges) are removed from the output.
setRenderingHint(RenderingHints.Key, Object) - Method in class weka.gui.visualize.PostscriptGraphics
setRenderingHints(Map<?, ?>) - Method in class weka.gui.visualize.PostscriptGraphics
setReplace(String) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Sets the regular expression to replace matching attribute names with.
setReplace(String) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Set the replace string
setReplaceAll(boolean) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
  Sets whether to replace all occurrences or just the first one.
setReplaceMissingValues(boolean) - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Sets either to use replace missing values filter or not
setRepresentCopiesUsingWeights(boolean) - Method in class weka.classifiers.meta.Bagging
  Set whether copies of instances are represented using weights rather than explicitly.
setRescaleConstant(Double) - Method in class weka.core.pmml.jaxbbindings.Target
  Sets the value of the rescaleConstant property.
setRescaleFactor(Double) - Method in class weka.core.pmml.jaxbbindings.Target
  Sets the value of the rescaleFactor property.
setReset(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
  This sets the network up to be able to reset itself with the current settings and the learning rate at half of what it is currently.
setReset(boolean) - Method in class weka.gui.beans.ChartEvent
  Set the reset flag
setResetIncrementalClassifier(boolean) - Method in class weka.gui.beans.Classifier
  Set whether to reset (by calling buildClassifier()) an incremental classifier, and thus discarding any previously learned model, before processing the first instance in the incoming stream.
setResetValue(Double) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Sets the value of the resetValue property.
setResult(Double) - Method in class weka.core.mathematicalexpression.Parser
  Sets the result of the evaluation.
setResult(Boolean) - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Sets the result of the evaluation.
setResultKeyFromDialog() - Method in class weka.gui.experiment.ResultsPanel
setResultListener(ResultListener) - Method in class weka.experiment.AveragingResultProducer
  Sets the object to send results of each run to.
setResultListener(ResultListener) - Method in class weka.experiment.CrossValidationResultProducer
  Sets the object to send results of each run to.
setResultListener(ResultListener) - Method in class weka.experiment.DatabaseResultProducer
  Sets the object to send results of each run to.
setResultListener(ResultListener) - Method in class weka.experiment.Experiment
  Sets the result listener where results will be sent.
setResultListener(ResultListener) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Sets the object to send results of each run to.
setResultListener(ResultListener) - Method in class weka.experiment.LearningRateResultProducer
  Sets the object to send results of each run to.
setResultListener(ResultListener) - Method in class weka.experiment.RandomSplitResultProducer
  Sets the object to send results of each run to.
setResultListener(ResultListener) - Method in class weka.experiment.RemoteExperiment
  Sets the result listener where results will be sent.
setResultListener(ResultListener) - Method in interface weka.experiment.ResultProducer
  Sets the object to send results of each run to.
setResultMatrix(ResultMatrix) - Method in class weka.experiment.PairedTTester
  Sets the matrix to use to produce the output.
setResultMatrix(ResultMatrix) - Method in interface weka.experiment.Tester
  Sets the matrix to use to produce the output.
setResultMatrix(ResultMatrix) - Method in class weka.gui.experiment.OutputFormatDialog
  Sets the matrix to use as initial selected output format.
setResultProducer(ResultProducer) - Method in class weka.experiment.AveragingResultProducer
  Set the ResultProducer.
setResultProducer(ResultProducer) - Method in class weka.experiment.DatabaseResultProducer
  Set the ResultProducer.
setResultProducer(ResultProducer) - Method in class weka.experiment.Experiment
  Set the result producer used for the current experiment.
setResultProducer(ResultProducer) - Method in class weka.experiment.LearningRateResultProducer
  Set the ResultProducer.
setResultProducer(ResultProducer) - Method in class weka.experiment.RemoteExperiment
  Set the result producer used for the current experiment.
setResultsetKeyColumns(Range) - Method in class weka.experiment.PairedTTester
  Set the value of ResultsetKeyColumns.
setResultsetKeyColumns(Range) - Method in interface weka.experiment.Tester
  Set the value of ResultsetKeyColumns.
setResultsPanel(ResultsPanel) - Method in class weka.gui.experiment.RunPanel
  Sets the pointer to the results panel.
setRetainStringVals(boolean) - Method in class weka.core.converters.ArffLoader
  Set whether to retain the values of string attributes in memory (in the header) when reading incrementally.
setRetainStringValues(boolean) - Method in class weka.core.converters.ArffLoader.ArffReader
  Set whether to retain the values of string attributes in memory (in the header) when reading incrementally.
setRetrieval(int) - Method in class weka.core.converters.AbstractLoader
  Sets the retrieval mode.
setRetrieval(int) - Method in class weka.core.converters.AbstractSaver
  Sets the retrieval mode.
setRetrieval(int) - Method in interface weka.core.converters.Loader
  Sets the retrieval mode.
setRetrieval(int) - Method in interface weka.core.converters.Saver
  Sets the retrieval mode
setRidge(double) - Method in class weka.classifiers.functions.LinearRegression
  Set the value of Ridge.
setRidge(double) - Method in class weka.classifiers.functions.Logistic
  Sets the ridge in the log-likelihood.
setRightMargin(Double) - Method in class weka.core.pmml.jaxbbindings.Interval
  Sets the value of the rightMargin property.
setRMSE(Double) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
  Sets the value of the rmse property.
setROC(ROC) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the roc property.
setROCGraph(ROCGraph) - Method in class weka.core.pmml.jaxbbindings.ROC
  Sets the value of the rocGraph property.
setROCString(String) - Method in class weka.gui.visualize.ThresholdVisualizePanel
  Set the string with ROC area
setRoot(boolean) - Method in class weka.gui.treevisualizer.Node
  Set the value of root.
setRootMeanSquaredError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the rootMeanSquaredError property.
setRootNode(String) - Method in class weka.core.xml.XMLDocument
  sets the root node to use in the XML output.
setRow(int, double[]) - Method in class weka.core.Matrix
  Deprecated.
  Sets a row of the matrix to the given row.
setRow(BigInteger) - Method in class weka.core.pmml.jaxbbindings.MatCell
  Sets the value of the row property.
setRowHidden(int, boolean) - Method in class weka.experiment.ResultMatrix
  sets the hidden status of the row (if the index is valid).
setRowName(int, String) - Method in class weka.experiment.ResultMatrix
  sets the name of the row (if the index is valid).
setRowNameWidth(int) - Method in class weka.experiment.ResultMatrix
  sets the width for the row names (0 = optimal).
setRowNumber(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the row number for this sub task
setRowOrder(int[]) - Method in class weka.experiment.ResultMatrix
  sets the ordering of the rows, null means default.
setRsource(String) - Method in class weka.gui.treevisualizer.Edge
  Set the value of rsource.
setRSquared(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the rSquared property.
setRtarget(String) - Method in class weka.gui.treevisualizer.Edge
  Set the value of rtarget.
setRuleFeature(RULEFEATURE) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the ruleFeature property.
setRules(List<AssociationRule>) - Method in class weka.associations.AssociationRules
  Set the rules to use.
setRules(List<AssociationRule>) - Method in class weka.associations.FilteredAssociationRules
  Set the rules to use.
setRuleset(ArrayList<Rule>) - Method in class weka.classifiers.rules.RuleStats
  Set the ruleset of the stats, overwriting the old one if any
setRuleSetModel(RuleSetModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the ruleSetModel property.
setRulesMustContain(String) - Method in class weka.associations.FPGrowth
  Set the comma separated list of items that rules must contain in order to be output.
setRunColumn(int) - Method in class weka.experiment.PairedTTester
  Set the value of RunColumn.
setRunColumn(int) - Method in interface weka.experiment.Tester
  Set the value of RunColumn.
setRunLower(int) - Method in class weka.experiment.Experiment
  Set the lower run number for the experiment.
setRunLower(int) - Method in class weka.experiment.RemoteExperiment
  Set the lower run number for the experiment.
setRuns(int) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
  Sets the number of runs
setRuns(int) - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
  Sets the number of runs
setRuns(int) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
  Sets the m_nRuns.
setRuns(int) - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
  Sets the number of runs
setRuns(int) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
  Sets the number of runs
setRuns(int) - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
  Sets the number of runs
setRuns(int) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
  Sets the m_nRuns.
setRuns(int) - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
  Sets the number of runs
setRunUpper(int) - Method in class weka.experiment.Experiment
  Set the upper run number for the experiment.
setRunUpper(int) - Method in class weka.experiment.RemoteExperiment
  Set the upper run number for the experiment.
setSample(Double) - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
  Sets the value of the sample property.
setSamplePeriod(int) - Method in class weka.gui.beans.StreamThroughput
  Set the sampling period (in milliseconds) to compute througput over
setSampleSize(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
  Set the number of instances to sample for attribute estimation
setSampleSize(int) - Method in class weka.filters.unsupervised.instance.ReservoirSample
  Sets the size of the subsample.
setSampleSizePercent(double) - Method in class weka.filters.supervised.instance.Resample
  Sets the size of the subsample, as a percentage of the original set.
setSampleSizePercent(double) - Method in class weka.filters.unsupervised.instance.Resample
  Sets the size of the subsample, as a percentage of the original set.
setSaveDialogTitle(String) - Method in class weka.gui.visualize.PrintableComponent
  sets the title for the save dialog.
setSaveDialogTitle(String) - Method in interface weka.gui.visualize.PrintableHandler
  sets the title for the save dialog
setSaveDialogTitle(String) - Method in class weka.gui.visualize.PrintablePanel
  sets the title for the save dialog
setSaveForVisualization(boolean) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
  Sets whether the instances are saved for visualization or only evaluation of the prediction is to happen.
setSaveInstanceData(boolean) - Method in class weka.classifiers.trees.J48
  Set whether instance data is to be saved.
setSaveInstanceData(boolean) - Method in class weka.clusterers.Cobweb
  Set the value of saveInstances.
setSaveInstances(boolean) - Method in class weka.classifiers.trees.M5P
  Set whether to save instance data at each node in the tree for visualization purposes
setSaverTemplate(Saver) - Method in class weka.gui.beans.Saver
  Set the loader to use
setScale(double) - Method in class weka.filters.unsupervised.attribute.Normalize
  Sets the scaling factor.
setScale(double, double) - Method in class weka.gui.visualize.JComponentWriter
  sets the scale factor - is ignored since we always create a screenshot!
setScale(double, double) - Method in class weka.gui.visualize.PrintableComponent
  sets the scale factor.
setScale(double, double) - Method in interface weka.gui.visualize.PrintableHandler
  sets the scale factor
setScale(double, double) - Method in class weka.gui.visualize.PrintablePanel
  sets the scale factor
setScaleWidthToFit(boolean) - Method in class weka.gui.DocumentPrinting
  Sets whether to scale the width to fit.
setScalingEnabled(boolean) - Method in class weka.gui.visualize.JComponentWriter
  sets whether to enable scaling
setScore(String) - Method in class weka.core.pmml.jaxbbindings.Node
  Sets the value of the score property.
setScore(String) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Sets the value of the score property.
setScorecard(Scorecard) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the scorecard property.
setScoreType(SelectedTag) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  set quality measure to be used in searching for networks.
setSearch(ASSearch) - Method in class weka.attributeSelection.AttributeSelection
  set the search method
setSearch(ASSearch) - Method in class weka.attributeSelection.CheckAttributeSelection
  Set the search method to test.
setSearch(ASSearch) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Sets the search method
setSearch(ASSearch) - Method in class weka.classifiers.rules.DecisionTable
  Sets the search method to use
setSearch(ASSearch) - Method in class weka.filters.supervised.attribute.AttributeSelection
  Set search class
setSearchAlgorithm(SearchAlgorithm) - Method in class weka.classifiers.bayes.BayesNet
  Set the SearchAlgorithm used in searching for network structures.
setSearchBackwards(boolean) - Method in class weka.attributeSelection.GreedyStepwise
  Set whether to search backwards instead of forwards
setSearchMethod(NearestNeighbourSearch) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Sets the search method
setSearchString(String) - Method in class weka.gui.arffviewer.ArffTable
  sets the search string to look for in the table, NULL or "" disables the search
setSearchTermination(int) - Method in class weka.attributeSelection.BestFirst
  Set the numnber of non-improving nodes to consider before terminating search.
setSeasonalityExpoSmooth(SeasonalityExpoSmooth) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
  Sets the value of the seasonalityExpoSmooth property.
setSecondValueIndex(String) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
  Sets index of the second value used.
setSecondValueIndex(String) - Method in class weka.filters.unsupervised.attribute.SwapValues
  Sets index of the second value used.
setSeed(int) - Method in class weka.attributeSelection.AttributeSelection
  set the seed for use in cross validation
setSeed(int) - Method in class weka.attributeSelection.OneRAttributeEval
  Set the random number seed for cross validation
setSeed(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
  Set the random number seed for randomly sampling instances.
setSeed(int) - Method in class weka.attributeSelection.WrapperSubsetEval
  Set the seed to use for cross validation
setSeed(int) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
  Sets the random number seed
setSeed(int) - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
  Sets the random number seed
setSeed(int) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
  Sets the random number seed
setSeed(int) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
  Sets the random number seed
setSeed(int) - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
  Sets the random number seed
setSeed(int) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
  Sets the random number seed
setSeed(int) - Method in class weka.classifiers.BVDecompose
  Sets the random number seed
setSeed(int) - Method in class weka.classifiers.BVDecomposeSegCVSub
  Sets the random number seed
setSeed(int) - Method in class weka.classifiers.evaluation.EvaluationUtils
  Sets the seed for randomization during cross-validation
setSeed(int) - Method in class weka.classifiers.functions.MultilayerPerceptron
  This seeds the random number generator, that is used when a random number is needed for the network.
setSeed(int) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  Sets the seed value for the random number generator
setSeed(int) - Method in class weka.classifiers.functions.VotedPerceptron
  Set the value of Seed.
setSeed(int) - Method in class weka.classifiers.meta.MultiScheme
  Sets the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
  Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.RandomizableClassifier
  Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
  Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
  Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
  Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
  Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
  Set the seed for random number generation.
setSeed(long) - Method in class weka.classifiers.rules.JRip
  Sets the seed value to use in randomizing the data
setSeed(int) - Method in class weka.classifiers.rules.PART
  Set the value of Seed.
setSeed(int) - Method in class weka.classifiers.trees.J48
  Set the value of Seed.
setSeed(int) - Method in class weka.classifiers.trees.RandomForest
  Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.trees.RandomTree
  Set the seed for random number generation.
setSeed(int) - Method in class weka.classifiers.trees.REPTree
  Set the value of Seed.
setSeed(int) - Method in class weka.clusterers.RandomizableClusterer
  Set the seed for random number generation.
setSeed(int) - Method in class weka.clusterers.RandomizableDensityBasedClusterer
  Set the seed for random number generation.
setSeed(int) - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
  Set the seed for random number generation.
setSeed(long) - Method in class weka.core.Debug.Random
  Sets the seed of this random number generator using a single long seed.
setSeed(int) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Sets the seed for random number generator (that is used for selecting the first anchor point randomly).
setSeed(int) - Method in interface weka.core.Randomizable
  Set the seed for random number generation.
setSeed(int) - Method in class weka.core.TestInstances
  sets the seed value for the random number generator
setSeed(int) - Method in class weka.datagenerators.DataGenerator
  Sets the random number seed.
setSeed(int) - Method in class weka.estimators.UnivariateMixtureEstimator
  Set the seed for random number generation.
setSeed(long) - Method in class weka.filters.supervised.attribute.ClassOrder
  Set randomization seed
setSeed(long) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
  Sets the random number seed for shuffling the dataset.
setSeed(int) - Method in class weka.filters.unsupervised.attribute.RandomProjection
  Sets the random seed of the random number generator
setSeed(int) - Method in class weka.filters.unsupervised.attribute.RandomSubset
  Set the seed value for the random number generator.
setSeed(long) - Method in class weka.filters.unsupervised.instance.RemoveFolds
  Sets the random number seed for shuffling the dataset.
setSeed(int) - Method in class weka.gui.beans.CrossValidationFoldMaker
  Set the seed
setSeed(int) - Method in class weka.gui.beans.TrainTestSplitMaker
  Set the random seed
setSeed(int) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
  Set a seed for random number generation (if needed).
setSeed(int) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
  Initializes a new random number generator using the supplied seed.
setSegmentId(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the segmentId property.
setSelectedAttributes(String) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
setSelectedAttributes(boolean[]) - Method in class weka.gui.AttributeSelectionPanel
  Set the selected attributes in the widget.
setSelectedBeans(Vector<Object>) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setSelectedBeans(int, Vector<Object>) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setSelectedColumn(int) - Method in class weka.gui.arffviewer.ArffTable
  sets the selected column
setSelectedRange(String) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Set the value of m_SelectedRange.
setSeperator(String) - Method in class weka.gui.HierarchyPropertyParser
  Set the seperator between levels.
setSeqId(String) - Method in class weka.core.pmml.jaxbbindings.SequenceReference
  Sets the value of the seqId property.
setSequenceModel(SequenceModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the sequenceModel property.
setSequenceReference(SequenceReference) - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
  Sets the value of the sequenceReference property.
setSequenceReference(SequenceReference) - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
  Sets the value of the sequenceReference property.
setSerializedClassifierFile(File) - Method in class weka.filters.supervised.attribute.AddClassification
  Sets the file pointing to a serialized, trained classifier.
setSerializedClustererFile(File) - Method in class weka.filters.unsupervised.attribute.AddCluster
  Sets the file pointing to a serialized, built clusterer.
setSetId(String) - Method in class weka.core.pmml.jaxbbindings.SetReference
  Sets the value of the setId property.
setSetReference(SetReference) - Method in class weka.core.pmml.jaxbbindings.Sequence
  Sets the value of the setReference property.
setShape(int) - Method in class weka.gui.treevisualizer.Node
  Set the value of shape.
setShapes(ArrayList<ArrayList<Double>>) - Method in class weka.gui.visualize.VisualizePanel
  This will set the shapes for the instances.
setShapeSize(int[]) - Method in class weka.gui.visualize.PlotData2D
  Set the shape sizes for the plot data
setShapeSize(ArrayList<Object>) - Method in class weka.gui.visualize.PlotData2D
  Set the shape sizes for the plot data
setShapeType(int[]) - Method in class weka.gui.visualize.PlotData2D
  Set the shape type for the plot data
setShapeType(ArrayList<Integer>) - Method in class weka.gui.visualize.PlotData2D
  Set the shape type for the plot data
setShowAttBars(boolean) - Method in class weka.gui.visualize.VisualizePanel
  Set whether the attribute bars should be shown or not.
setShowAttributeIndex(boolean) - Method in class weka.gui.arffviewer.ArffPanel
  Sets whether to display the attribute index in the header.
setShowAttributeIndex(boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  Sets whether to display the attribute index in the header.
setShowAttributeIndex(boolean) - Method in class weka.gui.arffviewer.ArffTableModel
  Sets whether to display the attribute index in the header.
setShowAverage(boolean) - Method in class weka.experiment.ResultMatrix
  sets whether to display the average per column or not.
setShowClassPanel(boolean) - Method in class weka.gui.visualize.VisualizePanel
  Set whether the class panel should be shown or not.
setShowStdDev(boolean) - Method in class weka.experiment.ResultMatrix
  sets whether to display the std deviations or not.
setShowStdDev(boolean) - Method in class weka.experiment.ResultMatrixSignificance
  sets whether to display the std deviations or not - always false!
setShowStdDevs(boolean) - Method in class weka.experiment.PairedTTester
  Set whether standard deviations are displayed or not.
setShowStdDevs(boolean) - Method in interface weka.experiment.Tester
  Set whether standard deviations are displayed or not.
setShowZeroInstancesAsUnknown(boolean) - Method in class weka.gui.InstancesSummaryPanel
  Set whether to show zero instances as unknown (i.e.
setShrinkage(double) - Method in class weka.classifiers.meta.AdditiveRegression
  Set the shrinkage parameter
setShrinkage(double) - Method in class weka.classifiers.meta.LogitBoost
  Set the value of Shrinkage.
setSigma(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
  Sets the sigma value.
setSigma(double) - Method in class weka.classifiers.functions.supportVector.Puk
  Sets the sigma value.
setSignificance(int, int, int) - Method in class weka.experiment.ResultMatrix
  sets the significance at the given position (if the position is valid).
setSignificanceLevel(double) - Method in class weka.associations.Apriori
  Set the value of significanceLevel.
setSignificanceLevel(double) - Method in class weka.experiment.PairedTTester
  Set the value of SignificanceLevel.
setSignificanceLevel(double) - Method in interface weka.experiment.Tester
  Set the value of SignificanceLevel.
setSignificanceLevel(double) - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Sets the significance level.
setSignificanceWidth(int) - Method in class weka.experiment.ResultMatrix
  sets the width for the significance (0 = optimal).
setSilent(boolean) - Method in class weka.core.AllJavadoc
  sets whether to suppress output in the console
setSilent(boolean) - Method in class weka.core.Check
  Set slient mode, i.e., no output at all to stdout
setSilent(boolean) - Method in class weka.core.Javadoc
  sets whether to suppress output in the console
setSilent(boolean) - Method in class weka.estimators.CheckEstimator
  Set slient mode, i.e., no output at all to stdout
setSimilarityScale(Double) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
  Sets the value of the similarityScale property.
setSimilarityType(String) - Method in class weka.core.pmml.jaxbbindings.TextModelSimiliarity
  Sets the value of the similarityType property.
setSimpleMatching(SimpleMatching) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the simpleMatching property.
setSimplePredicate(SimplePredicate) - Method in class weka.core.pmml.jaxbbindings.Attribute
  Sets the value of the simplePredicate property.
setSimplePredicate(SimplePredicate) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
  Sets the value of the simplePredicate property.
setSimplePredicate(SimplePredicate) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the simplePredicate property.
setSimplePredicate(SimplePredicate) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Sets the value of the simplePredicate property.
setSimpleSetPredicate(SimpleSetPredicate) - Method in class weka.core.pmml.jaxbbindings.Attribute
  Sets the value of the simpleSetPredicate property.
setSimpleSetPredicate(SimpleSetPredicate) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
  Sets the value of the simpleSetPredicate property.
setSimpleSetPredicate(SimpleSetPredicate) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the simpleSetPredicate property.
setSimpleSetPredicate(SimpleSetPredicate) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Sets the value of the simpleSetPredicate property.
setSIndex(int) - Method in class weka.gui.visualize.VisualizePanel
  Set the shape for creating splits.
setSingle(String) - Method in class weka.gui.ResultHistoryPanel
  Sets the single-click display to view the named result.
setSingleIndex(String) - Method in class weka.core.SingleIndex
  Sets the index from a string representation.
setSingleLineCommentStart(String) - Method in class weka.gui.scripting.SyntaxDocument
  Sets the string that is the start of a single-line comment.
setSize(int) - Method in class weka.core.matrix.DoubleVector
  Sets the size of the vector
setSize(int) - Method in class weka.core.matrix.IntVector
  Sets the size of the vector.
setSize(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Cluster
  Sets the value of the size property.
setSize(Double) - Method in class weka.core.pmml.jaxbbindings.Partition
  Sets the value of the size property.
setSize(int, int) - Method in class weka.experiment.ResultMatrix
  clears the content of the matrix and sets the new size.
setSkipIdentical(boolean) - Method in class weka.core.neighboursearch.LinearNNSearch
  Sets the property to skip identical instances (with distance zero from the target) from the set of neighbours returned.
setSmoothedValue(Double) - Method in class weka.core.pmml.jaxbbindings.Level
  Sets the value of the smoothedValue property.
setSmoothedValue(Double) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
  Sets the value of the smoothedValue property.
setSmoothing(boolean) - Method in class weka.classifiers.trees.m5.Rule
  Smooth predictions
setSMOReg(SMOreg) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  sets the parent SVM
setSort(boolean) - Method in class weka.filters.unsupervised.attribute.AddValues
  Sets whether the labels are sorted.
setSortColumn(int) - Method in class weka.experiment.PairedTTester
  Set the column to sort on, -1 means the default sorting.
setSortColumn(int) - Method in interface weka.experiment.Tester
  Set the column to sort on, -1 means the default sorting.
setSortDetails(String) - Method in class weka.gui.beans.Sorter
  Set the sort rules to use
setSortType(SelectedTag) - Method in class weka.filters.unsupervised.attribute.SortLabels
  Sets the sort type to be used.
setSource(File) - Method in class weka.core.converters.AbstractFileLoader
  Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(File) - Method in class weka.core.converters.AbstractLoader
  Default implementation throws an IOException.
setSource(InputStream) - Method in class weka.core.converters.AbstractLoader
  Default implementation throws an IOException.
setSource(URL) - Method in class weka.core.converters.ArffLoader
  Resets the Loader object and sets the source of the data set to be the supplied url.
setSource(InputStream) - Method in class weka.core.converters.ArffLoader
  Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(File) - Method in class weka.core.converters.C45Loader
  Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(InputStream) - Method in class weka.core.converters.CSVLoader
  Resets the Loader object and sets the source of the data set to be the supplied Stream object.
setSource(File) - Method in class weka.core.converters.CSVLoader
  Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(String, String, String) - Method in class weka.core.converters.DatabaseLoader
  Sets the database url, user and pw
setSource(String) - Method in class weka.core.converters.DatabaseLoader
  Sets the database url
setSource() - Method in class weka.core.converters.DatabaseLoader
  Sets the database url using the DatabaseUtils file
setSource(File) - Method in class weka.core.converters.JSONLoader
  Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(URL) - Method in class weka.core.converters.JSONLoader
  Resets the Loader object and sets the source of the data set to be the supplied url.
setSource(InputStream) - Method in class weka.core.converters.JSONLoader
  Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(URL) - Method in class weka.core.converters.LibSVMLoader
  Resets the Loader object and sets the source of the data set to be the supplied url.
setSource(InputStream) - Method in class weka.core.converters.LibSVMLoader
  Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(File) - Method in interface weka.core.converters.Loader
  Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(InputStream) - Method in interface weka.core.converters.Loader
  Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(URL) - Method in class weka.core.converters.MatlabLoader
  Resets the Loader object and sets the source of the data set to be the supplied url.
setSource(InputStream) - Method in class weka.core.converters.MatlabLoader
  Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(InputStream) - Method in class weka.core.converters.SerializedInstancesLoader
  Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(URL) - Method in class weka.core.converters.SVMLightLoader
  Resets the Loader object and sets the source of the data set to be the supplied url.
setSource(InputStream) - Method in class weka.core.converters.SVMLightLoader
  Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(File) - Method in class weka.core.converters.TextDirectoryLoader
  Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(File) - Method in class weka.core.converters.XRFFLoader
  Resets the Loader object and sets the source of the data set to be the supplied File object.
setSource(URL) - Method in class weka.core.converters.XRFFLoader
  Resets the Loader object and sets the source of the data set to be the supplied url.
setSource(InputStream) - Method in class weka.core.converters.XRFFLoader
  Resets the Loader object and sets the source of the data set to be the supplied InputStream.
setSource(Node) - Method in class weka.gui.treevisualizer.Edge
  Set the value of source.
setSourceCode(Classifier) - Method in class weka.classifiers.CheckSource
  Sets the class to test.
setSourceCode(Filter) - Method in class weka.filters.CheckSource
  Sets the class to test.
setSparseData(boolean) - Method in class weka.core.converters.DatabaseLoader
  Sets whether data should be encoded as sparse instances
setSparseData(boolean) - Method in class weka.experiment.InstanceQuery
  Sets whether data should be encoded as sparse instances
setSplitByDataSet(boolean) - Method in class weka.experiment.RemoteExperiment
  Set whether sub experiments are to be created on the basis of data set.
setSplitCharacteristic(String) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Sets the value of the splitCharacteristic property.
setSplitCharacteristic(String) - Method in class weka.core.pmml.jaxbbindings.TreeModel
  Sets the value of the splitCharacteristic property.
setSplitConfidence(double) - Method in class weka.classifiers.trees.HoeffdingTree
  Set the allowable error in a split decision.
setSplitCriterion(SelectedTag) - Method in class weka.classifiers.trees.HoeffdingTree
  Set the split criterion to use (either Gini or info gain).
setSplitEvaluator(SplitEvaluator) - Method in class weka.experiment.CrossValidationResultProducer
  Set the SplitEvaluator.
setSplitEvaluator(SplitEvaluator) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Set the SplitEvaluator.
setSplitEvaluator(SplitEvaluator) - Method in class weka.experiment.RandomSplitResultProducer
  Set the SplitEvaluator.
setSplitOnResiduals(boolean) - Method in class weka.classifiers.trees.LMT
  Set the value of splitOnResiduals.
setSplitPoint(Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
  Sets split point to greatest value in given data smaller or equal to old split point.
setSplitPoint(Instances) - Method in class weka.classifiers.trees.j48.C45Split
  Sets split point to greatest value in given data smaller or equal to old split point.
setSplitPoint(double) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Split point to be used for selection on numeric attribute.
setSpreadInitialCount(boolean) - Method in class weka.classifiers.trees.REPTree
  Set the value of SpreadInitialCount.
setSqlWhere(String) - Method in class weka.core.pmml.jaxbbindings.Aggregate
  Sets the value of the sqlWhere property.
setSquaredEuclidean(SquaredEuclidean) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the squaredEuclidean property.
setSSB(Double) - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
  Sets the value of the ssb property.
setSSE(Double) - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
  Sets the value of the sse property.
setStandardDeviation(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
  Sets the value of the standardDeviation property.
setStandardDeviation(Double) - Method in class weka.core.pmml.jaxbbindings.Time
  Sets the value of the standardDeviation property.
setStandardError(Double) - Method in class weka.core.pmml.jaxbbindings.TimeValue
  Sets the value of the standardError property.
setStartEndIndices(int, int) - Method in class weka.core.neighboursearch.balltrees.BallNode
  Sets the the start and end index of the portion of the master index array that is assigned to this node.
setStartSequentially(boolean) - Method in class weka.gui.beans.FlowRunner
  Set whether to launch Startable beans one after the other or all in parallel.
setStartSet(String) - Method in class weka.attributeSelection.BestFirst
  Sets a starting set of attributes for the search.
setStartSet(String) - Method in class weka.attributeSelection.GreedyStepwise
  Sets a starting set of attributes for the search.
setStartSet(String) - Method in class weka.attributeSelection.Ranker
  Sets a starting set of attributes for the search.
setStartSet(String) - Method in interface weka.attributeSelection.StartSetHandler
  Sets a starting set of attributes for the search.
setStartTime(Double) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
  Sets the value of the startTime property.
setStartTimeVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the startTimeVariable property.
setStatic() - Method in class weka.gui.beans.BeanVisual
  Deprecated.
setStatus(int) - Method in class weka.gui.beans.IncrementalClassifierEvent
  Set the status
setStatus(int) - Method in class weka.gui.beans.InstanceEvent
  Set the status
setStatusFrequency(int) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Set how often progress is reported to the status bar.
setStatusMessage(String) - Method in class weka.experiment.TaskStatusInfo
  Set the status message.
setStatusVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the statusVariable property.
setStdDev(int, int, double) - Method in class weka.experiment.ResultMatrix
  sets the std deviation at the given position (if the position is valid).
setStdDevPrec(int) - Method in class weka.experiment.ResultMatrix
  sets the precision for the standard deviation.
setStdDevWidth(int) - Method in class weka.experiment.ResultMatrix
  sets the width for the std dev (0 = optimal).
setStdError(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the stdError property.
setStemmer(Stemmer) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  the stemming algorithm to use, null means no stemming at all (i.e., the NullStemmer is used).
setStemmer(Stemmer) - Method in class weka.classifiers.functions.SGDText
  the stemming algorithm to use, null means no stemming at all (i.e., the NullStemmer is used).
setStemmer(String) - Method in class weka.core.stemmers.SnowballStemmer
  sets the stemmer with the given name, e.g., "porter".
setStemmer(Stemmer) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  the stemming algorithm to use, null means no stemming at all (i.e., the NullStemmer is used).
setStepSize(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Set the value of StepSize.
setStepsize(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
  Sets the value of the stepsize property.
setStepSize(int) - Method in class weka.experiment.LearningRateResultProducer
  Set the value of StepSize.
setStopwords(File) - Method in class weka.core.stopwords.AbstractFileBasedStopwords
  Sets the file containing the stopwords, null or a directory unset the stopwords.
setStopwords(StopwordsHandler[]) - Method in class weka.core.stopwords.MultiStopwords
  Sets the stopwords algorithms.
setStopwordsHandler(StopwordsHandler) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Sets the stopwords handler to use.
setStopwordsHandler(StopwordsHandler) - Method in class weka.classifiers.functions.SGDText
  Sets the stopwords handler to use.
setStopwordsHandler(StopwordsHandler) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets the stopwords handler to use.
setStringAttributes(String) - Method in class weka.core.converters.CSVLoader
  Sets the attribute range to be forced to type string.
setStringValue(String) - Method in class weka.core.Attribute
  Clear the map and list of values and set them to contain just the supplied value
setStroke(Stroke) - Method in class weka.gui.visualize.PostscriptGraphics
setStructure(Instances) - Method in class weka.core.converters.AbstractSaver
  Sets the strcuture of the instances for the first step of incremental saving.
setStructure(Instances) - Method in class weka.gui.beans.IncrementalClassifierEvent
  Set the instances structure
setStructure(Instances) - Method in class weka.gui.beans.InstanceEvent
  Set the instances structure
setSubFlow(Vector<Object>) - Method in class weka.gui.beans.MetaBean
setSubFlowPreview(ImageIcon) - Method in class weka.gui.beans.MetaBean
setSubjectIDVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the subjectIDVariable property.
setSubsequenceLength(int) - Method in class weka.classifiers.functions.supportVector.StringKernel
  Sets the length of the subsequence.
setSubSpaceSize(double) - Method in class weka.classifiers.meta.RandomSubSpace
  Sets the size of each subSpace, as a percentage of the training set size.
setSubtreeRaising(boolean) - Method in class weka.classifiers.trees.J48
  Set the value of subtreeRaising.
setSummary(int[][], int[][]) - Method in class weka.experiment.ResultMatrix
  sets the non-significant and significant wins of the resultsets.
setSumOfSquares(double) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Sets the value of the sumOfSquares property.
setSumSquaredError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the sumSquaredError property.
setSumSquaredRegression(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the sumSquaredRegression property.
setSupport(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
  Sets the value of the support property.
setSupport(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.Itemset
  Sets the value of the support property.
setSupport(Double) - Method in class weka.core.pmml.jaxbbindings.Sequence
  Sets the value of the support property.
setSupport(double) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
  Sets the value of the support property.
setSupportVectorMachineModel(SupportVectorMachineModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the supportVectorMachineModel property.
setSupportVectors(SupportVectors) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
  Sets the value of the supportVectors property.
setSuppressErrorMessage(boolean) - Method in class weka.classifiers.functions.SimpleLinearRegression
  Turn off the error message that is reported when no useful attribute is found.
setSuppressMappingReport(boolean) - Method in class weka.classifiers.misc.InputMappedClassifier
  Set whether to suppress output the report of model to input mappings.
setSuppressOutput(boolean) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Sets whether to the regular output is suppressed in case the output is stored in a file.
setSvmRepresentation(SVMREPRESENTATION) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Sets the value of the svmRepresentation property.
setSymbols(HashMap<String, Double>) - Method in class weka.core.mathematicalexpression.Parser
  Sets the variable - value relation to use.
setSymbols(HashMap) - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Sets the variable - value relation to use.
setT1(double) - Method in class weka.clusterers.Canopy
  Set the T1 distance.
setT2(double) - Method in class weka.clusterers.Canopy
  Set the T2 distance to use.
setTableLocator(TableLocator) - Method in class weka.core.pmml.jaxbbindings.ChildParent
  Sets the value of the tableLocator property.
setTableLocator(TableLocator) - Method in class weka.core.pmml.jaxbbindings.MapValues
  Sets the value of the tableLocator property.
setTableLocator(TableLocator) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
  Sets the value of the tableLocator property.
setTableName(String) - Method in class weka.core.converters.DatabaseSaver
  Sets the table's name.
setTabs(int) - Method in class weka.gui.scripting.SyntaxDocument
  sets the number of characters per tab.
setTabTitle(String) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setTabTitle(int, String) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setTabuList(int) - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
  Sets the Tabu List length.
setTabuList(int) - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
  Sets the Tabu List length.
setTanimoto(Tanimoto) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
  Sets the value of the tanimoto property.
setTarget(String) - Method in class weka.core.pmml.jaxbbindings.Anova
  Sets the value of the target property.
setTarget(Object) - Method in class weka.gui.PropertySheetPanel
  Sets a new target object for customisation.
setTarget(Node) - Method in class weka.gui.treevisualizer.Edge
  Set the value of target.
setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.MultivariateStats
  Sets the value of the targetCategory property.
setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.PCell
  Sets the value of the targetCategory property.
setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Sets the value of the targetCategory property.
setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.PPCell
  Sets the value of the targetCategory property.
setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.RegressionTable
  Sets the value of the targetCategory property.
setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
  Sets the value of the targetCategory property.
setTargetField(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the targetField property.
setTargetField(String) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
  Sets the value of the targetField property.
setTargetFieldDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.LiftData
  Sets the value of the targetFieldDisplayValue property.
setTargetFieldName(String) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
  Sets the value of the targetFieldName property.
setTargetFieldValue(String) - Method in class weka.core.pmml.jaxbbindings.LiftData
  Sets the value of the targetFieldValue property.
setTargetReferenceCategory(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the targetReferenceCategory property.
setTargets(Targets) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
  Sets the value of the targets property.
setTargets(Targets) - Method in class weka.core.pmml.jaxbbindings.Regression
  Sets the value of the targets property.
setTargetValueCounts(TargetValueCounts) - Method in class weka.core.pmml.jaxbbindings.BayesOutput
  Sets the value of the targetValueCounts property.
setTargetValueCounts(TargetValueCounts) - Method in class weka.core.pmml.jaxbbindings.PairCounts
  Sets the value of the targetValueCounts property.
setTargetVariableName(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the targetVariableName property.
setTaskResult(Object) - Method in class weka.experiment.TaskStatusInfo
  Set the returnable result for this task..
setTaxonomy(String) - Method in class weka.core.pmml.jaxbbindings.DataField
  Sets the value of the taxonomy property.
setTaxonomy(Taxonomy) - Method in class weka.core.pmml.jaxbbindings.TextDictionary
  Sets the value of the taxonomy property.
setTCol(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Sets the value of the tCol property.
setTempDirectory(String) - Method in class weka.gui.beans.Sorter
  Set the directory to use for temporary files during incremental operation
setTestBaseFromDialog() - Method in class weka.gui.experiment.ResultsPanel
setTestEvaluator(boolean) - Method in class weka.attributeSelection.CheckAttributeSelection
  Sets whether the evaluator or the search method is being tested.
setTestSet(DataSetEvent) - Method in class weka.gui.beans.BatchClassifierEvent
  Set the test set
setTestsetDir(File) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Sets the directory to use for the test sets.
setTestsetPrefix(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Sets the prefix to use for the test sets.
setTestsetSuffix(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
  Sets the suffix to use for the test sets.
setTestStatistic(BASELINETESTSTATISTIC) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Sets the value of the testStatistic property.
setTestStructure(Instances) - Method in class weka.classifiers.misc.InputMappedClassifier
  Set the test structure (if known in advance) that we are likely to see.
setText(String) - Method in class weka.gui.beans.BeanVisual
  Set the label for the visual.
setText(String) - Method in class weka.gui.beans.EnvironmentField
  Set the text to display in the editable combo box.
setTextModel(TextModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the textModel property.
setTFTransform(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets whether if the word frequencies should be transformed into log(1+fij) where fij is the frequency of word i in document(instance) j.
setThreshold(double) - Method in class weka.attributeSelection.GreedyStepwise
  Set the threshold by which the AttributeSelection module can discard attributes.
setThreshold(double) - Method in interface weka.attributeSelection.RankedOutputSearch
  Sets a threshold by which attributes can be discarded from the ranking.
setThreshold(double) - Method in class weka.attributeSelection.Ranker
  Set the threshold by which the AttributeSelection module can discard attributes.
setThreshold(double) - Method in class weka.attributeSelection.WrapperSubsetEval
  Set the value of the threshold for repeating cross validation
setThreshold(double) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
  Sets the value of the threshold property.
setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
  Sets the value of the threshold property.
setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Sets the value of the threshold property.
setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Sets the value of the threshold property.
setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
  Sets the value of the threshold property.
setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
  Sets the value of the threshold property.
setThreshold(double) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Sets the threshold for the max error when predicting a numeric class.
setTime(Time) - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
  Sets the value of the time property.
setTime(double) - Method in class weka.core.pmml.jaxbbindings.BaselineCell
  Sets the value of the time property.
setTime(Time) - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
  Sets the value of the time property.
setTime(Time) - Method in class weka.core.pmml.jaxbbindings.Sequence
  Sets the value of the time property.
setTime(Double) - Method in class weka.core.pmml.jaxbbindings.TimeValue
  Sets the value of the time property.
setTimeAnchor(TimeAnchor) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
  Sets the value of the timeAnchor property.
setTimes(int, double) - Method in class weka.core.matrix.DoubleVector
  Multiplies a value to an element
setTimeSeriesModel(TimeSeriesModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the timeSeriesModel property.
setTimestamp(Timestamp) - Method in class weka.core.pmml.jaxbbindings.Header
  Sets the value of the timestamp property.
setTimestamp(Timestamp) - Method in class weka.core.pmml.jaxbbindings.TimeValue
  Sets the value of the timestamp property.
setTokenizer(Tokenizer) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  the tokenizer algorithm to use.
setTokenizer(Tokenizer) - Method in class weka.classifiers.functions.SGDText
  the tokenizer algorithm to use.
setTokenizer(Tokenizer) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  the tokenizer algorithm to use.
setTolerance(double) - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  sets the tolerance
setToleranceParameter(double) - Method in class weka.classifiers.functions.SMO
  Set the value of tolerance parameter.
setToolTipText(String) - Method in class weka.gui.GenericObjectEditor.GOETreeNode
  Set the tool tip for this node
setTop(double) - Method in class weka.gui.treevisualizer.Node
  Set the value of top.
setTotalFreq(double) - Method in class weka.core.pmml.jaxbbindings.Counts
  Sets the value of the totalFreq property.
setTotalSquaresSum(Double) - Method in class weka.core.pmml.jaxbbindings.ContStats
  Sets the value of the totalSquaresSum property.
setTotalValuesSum(Double) - Method in class weka.core.pmml.jaxbbindings.ContStats
  Sets the value of the totalValuesSum property.
setTrainingData(Instances) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Set the training data to use
setTrainingTime(int) - Method in class weka.classifiers.functions.MultilayerPerceptron
  Set the number of training epochs to perform.
setTrainIterations(int) - Method in class weka.classifiers.BVDecompose
  Sets the maximum number of boost iterations
setTrainPercent(double) - Method in class weka.experiment.RandomSplitResultProducer
  Set the value of TrainPercent.
setTrainPercent(double) - Method in class weka.gui.beans.TrainTestSplitMaker
  Set the percentage of data to be in the training portion of the split
setTrainPoolSize(int) - Method in class weka.classifiers.BVDecompose
  Set the number of instances in the training pool.
setTrainSet(DataSetEvent) - Method in class weka.gui.beans.BatchClassifierEvent
  Set the training set
setTrainSize(int) - Method in class weka.classifiers.BVDecomposeSegCVSub
  Set the training size.
setTransactionsMustContain(String) - Method in class weka.associations.FPGrowth
  Set the comma separated list of items that transactions must contain in order to be considered for large item sets and rules.
setTransform(AffineTransform) - Method in class weka.gui.visualize.PostscriptGraphics
setTransformAllValues(boolean) - Method in class weka.filters.supervised.attribute.NominalToBinary
  Sets whether all nominal values are transformed into new attributes, not just if there are more than 2.
setTransformAllValues(boolean) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Sets whether all nominal values are transformed into new attributes, not just if there are more than 2.
setTransformation(String) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
  Sets the value of the transformation property.
setTransformationDictionary(TransformationDictionary) - Method in class weka.core.pmml.jaxbbindings.PMML
  Sets the value of the transformationDictionary property.
setTransformBackToOriginal(boolean) - Method in class weka.attributeSelection.PrincipalComponents
  Sets whether the data should be transformed back to the original space
setTranslation(double) - Method in class weka.filters.unsupervised.attribute.Normalize
  Sets the translation.
setTreatMissingValuesAsZero(boolean) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Set whether missing values should be treated in the same way as zeros
setTreatZeroAsMissing(boolean) - Method in class weka.associations.Apriori
  Sets whether zeros (i.e.
setTreeModel(TreeModel) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the treeModel property.
setTrend(String) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
  Sets the value of the trend property.
setTrendExpoSmooth(TrendExpoSmooth) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
  Sets the value of the trendExpoSmooth property.
setTrialsValue(BigInteger) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the trialsValue property.
setTrialsVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
  Sets the value of the trialsVariable property.
setTrim(boolean) - Method in class weka.classifiers.misc.InputMappedClassifier
  Set whether to trim white space from each end of names before matching.
setTRow(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Sets the value of the tRow property.
setTrue(True) - Method in class weka.core.pmml.jaxbbindings.Attribute
  Sets the value of the true property.
setTrue(True) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
  Sets the value of the true property.
setTrue(True) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the true property.
setTrue(True) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Sets the value of the true property.
setTrueNegative(double) - Method in class weka.classifiers.evaluation.TwoClassStats
  Sets the number of negative instances predicted as negative
setTruePositive(double) - Method in class weka.classifiers.evaluation.TwoClassStats
  Sets the number of positive instances predicted as positive
setTrueStepName(String) - Method in class weka.gui.beans.FlowByExpression
  Set the name of the connected step to send "true" instances to
setTruncate(boolean) - Method in class weka.core.converters.DatabaseSaver
  Set whether to truncate (i.e.
setTStart(double) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
  Sets the m_fTStart.
setTStart(double) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
  Sets the m_fTStart.
setTValue(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
  Sets the value of the tValue property.
setType(int) - Method in class weka.classifiers.functions.neural.NeuralConnection
setType(String) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
  Sets the value of the type property.
setType(String) - Method in class weka.core.pmml.jaxbbindings.ArrayType
  Sets the value of the type property.
setType(String) - Method in class weka.core.pmml.jaxbbindings.PCovMatrix
  Sets the value of the type property.
setType(String) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
  Sets the value of the type property.
setType(TIMEANCHOR2) - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
  Sets the value of the type property.
setType(VALIDTIMESPEC) - Method in class weka.core.pmml.jaxbbindings.TimeCycle
  Sets the value of the type property.
setType(TIMEEXCEPTIONTYPE) - Method in class weka.core.pmml.jaxbbindings.TimeException
  Sets the value of the type property.
setType(String) - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Set the type of the new attribute
setUndoBuffer(Stack<File>) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setUndoBuffer(int, Stack<File>) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
setUndoEnabled(boolean) - Method in interface weka.core.Undoable
  sets whether undo support is enabled
setUndoEnabled(boolean) - Method in class weka.gui.arffviewer.ArffPanel
  sets whether undo support is enabled
setUndoEnabled(boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  sets whether undo support is enabled
setUndoEnabled(boolean) - Method in class weka.gui.arffviewer.ArffTableModel
  sets whether undo support is enabled
setUniformDistribution(UniformDistribution) - Method in class weka.core.pmml.jaxbbindings.Alternate
  Sets the value of the uniformDistribution property.
setUniformDistribution(UniformDistribution) - Method in class weka.core.pmml.jaxbbindings.Baseline
  Sets the value of the uniformDistribution property.
setUnit(String) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
  Sets the value of the unit property.
setUnpruned(boolean) - Method in class weka.classifiers.rules.PART
  Set the value of unpruned.
setUnpruned(boolean) - Method in class weka.classifiers.trees.J48
  Set the value of unpruned.
setUnpruned(boolean) - Method in class weka.classifiers.trees.m5.M5Base
  Use unpruned tree/rules
setUnpruned(boolean) - Method in class weka.classifiers.trees.m5.Rule
  Use unpruned tree/rules
setUp() - Method in class weka.gui.explorer.AbstractPlotInstances
  Performs checks, sets up the structure for the plot instances.
setupAttribLists() - Method in class weka.gui.visualize.MatrixPanel
  Sets up the UI's attributes lists
setUpBoundaryPanel() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Sets up the BoundaryPanel object so that it is ready for plotting.
setUpComboBoxes(Instances) - Method in class weka.gui.visualize.ThresholdVisualizePanel
  This overloads VisualizePanel's setUpComboBoxes to add ActionListeners to watch for when the X/Y Axis comboboxes are changed.
setUpComboBoxes(Instances) - Method in class weka.gui.visualize.VisualizePanel
  initializes the comboboxes based on the data
setUpdateIncrementalClassifier(boolean) - Method in class weka.gui.beans.Classifier
  Set whether an incremental classifier will be updated on the incoming instance stream.
setUpdateWeightsOnly(boolean) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Sets whether only weights should be udpated.
setUpFile() - Method in class weka.gui.beans.LoaderCustomizer
setUpFile() - Method in class weka.gui.beans.SaverCustomizer
  Sets up dialog for saving instances in a file
setUpFile() - Method in class weka.gui.beans.SerializedModelSaverCustomizer
  Sets up dialog for saving models to a file
SetupModePanel - Class in weka.gui.experiment
  This panel switches between simple and advanced experiment setup panels.
SetupModePanel() - Constructor for class weka.gui.experiment.SetupModePanel
  Creates the setup panel with no initial experiment.
SetupPanel - Class in weka.gui.experiment
  This panel controls the configuration of an experiment.
SetupPanel(Experiment) - Constructor for class weka.gui.experiment.SetupPanel
  Creates the setup panel with the supplied initial experiment.
SetupPanel() - Constructor for class weka.gui.experiment.SetupPanel
  Creates the setup panel with no initial experiment.
setUpper(double) - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
  Sets the value of the upper property.
setUpper(int) - Method in class weka.core.Range
  Sets the value of "last".
setUpper(int) - Method in class weka.core.SingleIndex
  Sets the value of "last".
setUpperBoundMinSupport(double) - Method in class weka.associations.Apriori
  Set the value of upperBoundMinSupport.
setUpperBoundMinSupport(double) - Method in class weka.associations.FPGrowth
  Set the value of upperBoundMinSupport.
setUpperSize(int) - Method in class weka.experiment.LearningRateResultProducer
  Set the value of UpperSize.
setURL(String) - Method in class weka.core.converters.ArffLoader
  Set the url to load from
setUrl(String) - Method in interface weka.core.converters.DatabaseConverter
setUrl(String) - Method in class weka.core.converters.DatabaseLoader
  Sets the database URL
setUrl(String) - Method in class weka.core.converters.DatabaseSaver
  Sets the database URL.
setURL(String) - Method in class weka.core.converters.JSONLoader
  Set the url to load from.
setURL(String) - Method in class weka.core.converters.LibSVMLoader
  Set the url to load from.
setURL(String) - Method in class weka.core.converters.MatlabLoader
  Set the url to load from.
setURL(String) - Method in class weka.core.converters.SVMLightLoader
  Set the url to load from.
setURL(String) - Method in interface weka.core.converters.URLSourcedLoader
  Set the url to load from
setURL(String) - Method in class weka.core.converters.XRFFLoader
  Set the url to load from
setURL(String) - Method in class weka.gui.sql.ConnectionPanel
  sets the URL.
setUsage(TIMESERIESUSAGE) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
  Sets the value of the usage property.
setUsageType(FIELDUSAGETYPE) - Method in class weka.core.pmml.jaxbbindings.MiningField
  Sets the value of the usageType property.
setUseADTree(boolean) - Method in class weka.classifiers.bayes.BayesNet
  Set whether ADTree structure is used or not
setUseAIC(boolean) - Method in class weka.classifiers.functions.SimpleLogistic
  Set the value of useAIC.
setUseAIC(boolean) - Method in class weka.classifiers.trees.lmt.LogisticBase
  Set the value of useAIC.
setUseAIC(boolean) - Method in class weka.classifiers.trees.LMT
  Set the value of useAIC.
setUseArcReversal(boolean) - Method in class weka.classifiers.bayes.net.search.global.HillClimber
  set use the arc reversal operation
setUseArcReversal(boolean) - Method in class weka.classifiers.bayes.net.search.local.HillClimber
  set use the arc reversal operation
setUseAverage(boolean) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Set the value of UseAverage.
setUseBetterEncoding(boolean) - Method in class weka.filters.supervised.attribute.Discretize
  Sets whether better encoding is to be used for MDL.
setUseBinNumbers(boolean) - Method in class weka.filters.supervised.attribute.Discretize
  Sets whether bin numbers rather than ranges should be used for discretized attributes.
setUseBinNumbers(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
  Sets whether bin numbers rather than ranges should be used for discretized attributes.
setUseBlanks(boolean) - Method in class weka.gui.scripting.SyntaxDocument
  Sets whether to use blanks instead of tabs.
setUseConjugateGradientDescent(boolean) - Method in class weka.classifiers.functions.Logistic
  Sets whether conjugate gradient descent is used.
setUseCpuTime(boolean) - Method in class weka.core.Debug.Clock
  enables/disables the use of CPU time (if measurement of CPU time is available).
setUseCrossOver(boolean) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
setUseCrossOver(boolean) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
setUseCrossValidation(boolean) - Method in class weka.classifiers.functions.SimpleLogistic
  Set the value of useCrossValidation.
setUseCustomDimensions(boolean) - Method in class weka.gui.visualize.JComponentWriter
  sets whether to use custom dimensions for the image
setUseDouble(boolean) - Method in class weka.core.converters.MatlabSaver
  Sets whether to use double or single precision.
setUseEqualFrequency(boolean) - Method in class weka.classifiers.meta.RegressionByDiscretization
  Set the value of UseEqualFrequency.
setUseEqualFrequency(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
  Set the value of UseEqualFrequency.
setUseEqualFrequency(boolean) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Set the value of UseEqualFrequency.
setUseIBk(boolean) - Method in class weka.classifiers.rules.DecisionTable
  Sets whether IBk should be used instead of the majority class
setUseK2Prior(boolean) - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
  Sets the UseK2Prior.
setUseK2Prior(boolean) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
  Sets the UseK2Prior.
setUseKernelEstimator(boolean) - Method in class weka.classifiers.bayes.NaiveBayes
  Sets if kernel estimator is to be used.
setUseKononenko(boolean) - Method in class weka.filters.supervised.attribute.Discretize
  Sets whether Kononenko's MDL criterion is to be used.
setUseLaplace(boolean) - Method in class weka.classifiers.trees.J48
  Set the value of useLaplace.
setUseLeastValues(boolean) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Sets whether to use values with least or most instances
setUseLowerOrder(boolean) - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Sets whether to use lower-order terms.
setUseMDLcorrection(boolean) - Method in class weka.classifiers.rules.PART
  Set the value of useMDLcorrection.
setUseMDLcorrection(boolean) - Method in class weka.classifiers.trees.J48
  Set the value of useMDLcorrection.
setUseMissing(boolean) - Method in class weka.filters.unsupervised.attribute.AddNoise
  Sets the flag if missing values are treated as extra values.
setUseMutation(boolean) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
setUseMutation(boolean) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
setUseNormalization(boolean) - Method in class weka.classifiers.functions.supportVector.StringKernel
  Sets whether to use normalization.
setUseNormalizedEntropy(boolean) - Method in class weka.estimators.UnivariateMixtureEstimator
setUseORForMustContainList(boolean) - Method in class weka.associations.FPGrowth
  Set whether to use OR rather than AND when considering must contain lists.
setUsePairwiseCoupling(boolean) - Method in class weka.classifiers.meta.MultiClassClassifier
  Set whether to use pairwise coupling with 1-vs-1 classification to improve probability estimates.
setUseProb(boolean) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
setUsePropertyIterator(boolean) - Method in class weka.experiment.Experiment
  Sets whether the custom property iterator should be used.
setUsePropertyIterator(boolean) - Method in class weka.experiment.RemoteExperiment
  Sets whether the custom property iterator should be used.
setUsePruning(boolean) - Method in class weka.classifiers.rules.JRip
  Sets whether pruning is performed
setUser(String) - Method in interface weka.core.converters.DatabaseConverter
setUser(String) - Method in class weka.core.converters.DatabaseLoader
  Sets the database user
setUser(String) - Method in class weka.core.converters.DatabaseSaver
  Sets the database user.
setUser(String) - Method in class weka.gui.sql.ConnectionPanel
  sets the User.
setUseReasonCodes(Boolean) - Method in class weka.core.pmml.jaxbbindings.Scorecard
  Sets the value of the useReasonCodes property.
setUseRelativePath(boolean) - Method in class weka.core.converters.AbstractFileLoader
  Set whether to use relative rather than absolute paths
setUseRelativePath(boolean) - Method in class weka.core.converters.AbstractFileSaver
  Set whether to use relative rather than absolute paths
setUseRelativePath(boolean) - Method in interface weka.core.converters.FileSourcedConverter
  Set whether to use relative rather than absolute paths
setUseRelativePath(boolean) - Method in class weka.gui.beans.SerializedModelSaver
  Set whether to use relative paths for the directory.
setUseResampling(boolean) - Method in class weka.classifiers.meta.AdaBoostM1
  Set resampling mode
setUseResampling(boolean) - Method in class weka.classifiers.meta.LogitBoost
  Set resampling mode
setUsername(String) - Method in class weka.experiment.DatabaseUtils
  Set the database username.
setUserOptions(String[]) - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
  sets the option the user supplied for the kernel
setUserOptions(String[]) - Method in class weka.core.CheckOptionHandler
  Sets the user-supplied options (creates a copy)
setUseShortIdentifiers(boolean) - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Set whether to output short identifiers for merged values.
setUseStars(boolean) - Method in class weka.core.AllJavadoc
  sets whether to prefix the Javadoc with "*"
setUseStars(boolean) - Method in class weka.core.Javadoc
  sets whether to prefix the Javadoc with "*"
setUseSupervisedDiscretization(boolean) - Method in class weka.classifiers.bayes.NaiveBayes
  Set whether supervised discretization is to be used.
setUseSupervisedDiscretization(boolean) - Method in class weka.classifiers.bayes.NaiveBayesUpdateable
  Set whether supervised discretization is to be used.
setUseTab(boolean) - Method in class weka.classifiers.evaluation.output.prediction.CSV
  Sets whether to use tab instead of comma as separator.
setUseTabs(boolean) - Method in class weka.core.converters.MatlabSaver
  Sets whether to use tabs instead of blanks.
setUseTournamentSelection(boolean) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
setUseTournamentSelection(boolean) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
setUseTree(boolean) - Method in class weka.classifiers.trees.m5.Rule
  Use an m5 tree rather than generate rules
setUseUnsmoothed(boolean) - Method in class weka.classifiers.trees.m5.M5Base
  Use unsmoothed predictions
setUseVariant1(boolean) - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  Sets whether to use variant 1
setUseWordFrequencies(boolean) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Set whether to use word frequencies rather than binary bag of words representation.
setUseWordFrequencies(boolean) - Method in class weka.classifiers.functions.SGDText
  Set whether to use word frequencies rather than binary bag of words representation.
setValidating(boolean) - Method in class weka.core.xml.XMLDocument
  sets whether to use a validating parser or not.
  Note: this does clear the current DOM document!
setValidating(boolean) - Method in class weka.core.xml.XMLOptions
  sets whether to use a validating parser or not.
setValidationSetSize(int) - Method in class weka.classifiers.functions.MultilayerPerceptron
  This will set the size of the validation set.
setValidationThreshold(int) - Method in class weka.classifiers.functions.MultilayerPerceptron
  This sets the threshold to use for when validation testing is being done.
setValue(int, String) - Method in class weka.core.AbstractInstance
  Sets a value of a nominal or string attribute to the given value.
setValue(Attribute, double) - Method in class weka.core.AbstractInstance
  Sets a specific value in the instance to the given value (internal floating-point format).
setValue(Attribute, String) - Method in class weka.core.AbstractInstance
  Sets a value of an nominal or string attribute to the given value.
setValue(int, double) - Method in class weka.core.BinarySparseInstance
  Sets a specific value in the instance to the given value (internal floating-point format).
setValue(int, double) - Method in class weka.core.DenseInstance
  Sets a specific value in the instance to the given value (internal floating-point format).
setValue(int, double) - Method in interface weka.core.Instance
  Sets a specific value in the instance to the given value (internal floating-point format).
setValue(int, String) - Method in interface weka.core.Instance
  Sets a value of a nominal or string attribute to the given value.
setValue(Attribute, double) - Method in interface weka.core.Instance
  Sets a specific value in the instance to the given value (internal floating-point format).
setValue(Attribute, String) - Method in interface weka.core.Instance
  Sets a value of an nominal or string attribute to the given value.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.Category
  Sets the value of the value property.
setValue(Double) - Method in class weka.core.pmml.jaxbbindings.Coefficient
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.Constant
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.Decision
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.Extension
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.FieldValue
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.Item
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.MatCell
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.PairCounts
  Sets the value of the value property.
setValue(double) - Method in class weka.core.pmml.jaxbbindings.PCovCell
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.PPCell
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.ResultField
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.TargetValue
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
  Sets the value of the value property.
setValue(double) - Method in class weka.core.pmml.jaxbbindings.TimeValue
  Sets the value of the value property.
setValue(String) - Method in class weka.core.pmml.jaxbbindings.Value
  Sets the value of the value property.
setValue(Object, PropertyPath.Path, Object) - Static method in class weka.core.PropertyPath
  set the given value specified by the given path in the object
setValue(Object, String, Object) - Static method in class weka.core.PropertyPath
  set the given value specified by the given path in the object
setValue(int, double) - Method in class weka.core.SparseInstance
  Sets a specific value in the instance to the given value (internal floating-point format).
setValue(TechnicalInformation.Field, String) - Method in class weka.core.TechnicalInformation
  sets the value for the given field, overwrites any previously existing one.
setValue(String) - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Set the value of the new attribute.
setValue(Object) - Method in class weka.gui.beans.EnvironmentField
setValue(Object) - Method in class weka.gui.CostMatrixEditor
  Sets the value of the CostMatrix to be edited.
setValue(Object) - Method in class weka.gui.GenericArrayEditor
  Sets the current object array.
setValue(Object) - Method in class weka.gui.GenericObjectEditor
  Sets the current Object.
setValue(Object) - Method in class weka.gui.SimpleDateFormatEditor
  Sets the value of the date format to be edited.
setValueAt(Object, int, int) - Method in class weka.gui.arffviewer.ArffTableModel
  sets the value in the cell at columnIndex and rowIndex to aValue.
setValueAt(Object, int, int, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
  sets the value in the cell at columnIndex and rowIndex to aValue.
setValueAt(Object, int, int) - Method in class weka.gui.beans.InteractiveTableModel
setValueAt(Object, int, int) - Method in class weka.gui.SortedTableModel
  Sets the value in the cell at columnIndex and rowIndex to aValue.
setValueAt(Object, int, int) - Method in class weka.gui.sql.ResultSetTableModel
  sets the value in the cell at columnIndex and rowIndex to aValue.
setValueIndex(int) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Sets index of the indicator value.
setValueIndices(String) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Sets indices of the indicator values.
setValueIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
  Set which attributes are to be deleted (or kept if invert is true)
setValueReplacements(String) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
setValuesList(String) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Sets the ranges for each attribute.
setValuesList(String, double[], double[], String) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Sets the ranges for each attribute.
setValueSparse(int, double) - Method in class weka.core.BinarySparseInstance
  Sets a specific value in the instance to the given value (internal floating-point format).
setValueSparse(int, double) - Method in class weka.core.DenseInstance
  Sets a specific value in the instance to the given value (internal floating-point format).
setValueSparse(int, double) - Method in interface weka.core.Instance
  Sets a specific value in the instance to the given value (internal floating-point format), given an index into the sparse representation.
setValueSparse(int, double) - Method in class weka.core.SparseInstance
  Sets a specific value in the instance to the given value (internal floating-point format).
setVariance(double) - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
  Sets the value of the variance property.
setVariance(double) - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
  Sets the value of the variance property.
setVarianceCovered(double) - Method in class weka.attributeSelection.PrincipalComponents
  Sets the amount of variance to account for when retaining principal components
setVarianceCovered(double) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Sets the amount of variance to account for when retaining principal components.
setVectorFields(VectorFields) - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
  Sets the value of the vectorFields property.
setVectorId(String) - Method in class weka.core.pmml.jaxbbindings.SupportVector
  Sets the value of the vectorId property.
setVerbose(boolean) - Method in class weka.associations.Apriori
  Sets verbose mode
setVerboseOn() - Method in class weka.core.Debug.DBO
  Set the verbose on flag on
setVerificationFields(VerificationFields) - Method in class weka.core.pmml.jaxbbindings.ModelVerification
  Sets the value of the verificationFields property.
setVersion(String) - Method in class weka.core.pmml.jaxbbindings.Application
  Sets the value of the version property.
setVersion(String) - Method in class weka.core.pmml.jaxbbindings.PMML
  Sets the value of the version property.
setVisible(boolean) - Method in class weka.gui.Main
  Shows or hides this component depending on the value of parameter b.
setVisible(boolean) - Method in class weka.gui.sql.SqlViewerDialog
  displays the dialog if TRUE.
setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractDataSink
  Set the visual for this data source
setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractDataSource
  Set the visual for this data source
setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractEvaluator
  Set the visual
setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractTestSetProducer
  Set the visual for this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Set the visual for this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractTrainingSetProducer
  Set the visual for this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.Appender
  Set a new visual representation
setVisual(BeanVisual) - Method in class weka.gui.beans.Associator
  Sets the visual appearance of this wrapper bean
setVisual(BeanVisual) - Method in class weka.gui.beans.ClassAssigner
setVisual(BeanVisual) - Method in class weka.gui.beans.Classifier
  Sets the visual appearance of this wrapper bean
setVisual(BeanVisual) - Method in class weka.gui.beans.ClassValuePicker
setVisual(BeanVisual) - Method in class weka.gui.beans.Clusterer
  Sets the visual appearance of this wrapper bean
setVisual(BeanVisual) - Method in class weka.gui.beans.CostBenefitAnalysis
setVisual(BeanVisual) - Method in class weka.gui.beans.DataVisualizer
  Set the visual appearance of this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.Filter
  Set the visual appearance of this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.FlowByExpression
setVisual(BeanVisual) - Method in class weka.gui.beans.GraphViewer
  Set the visual appearance of this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.ImageSaver
setVisual(BeanVisual) - Method in class weka.gui.beans.ImageViewer
setVisual(BeanVisual) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Sets the visual appearance of this wrapper bean
setVisual(BeanVisual) - Method in class weka.gui.beans.Join
  Set the visual for this step
setVisual(BeanVisual) - Method in class weka.gui.beans.MetaBean
  Sets the visual appearance of this wrapper bean
setVisual(BeanVisual) - Method in class weka.gui.beans.ModelPerformanceChart
  Set the visual appearance of this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.PredictionAppender
  Set the visual for this data source
setVisual(BeanVisual) - Method in class weka.gui.beans.SerializedModelSaver
  Set the visual for this data source.
setVisual(BeanVisual) - Method in class weka.gui.beans.Sorter
  Set a new visual representation
setVisual(BeanVisual) - Method in class weka.gui.beans.StripChart
  Set the visual appearance of this bean
setVisual(BeanVisual) - Method in class weka.gui.beans.SubstringLabeler
  Set a new visual representation
setVisual(BeanVisual) - Method in class weka.gui.beans.SubstringReplacer
  Set a new visual representation
setVisual(BeanVisual) - Method in class weka.gui.beans.TextSaver
setVisual(BeanVisual) - Method in class weka.gui.beans.TextViewer
  Describe `setVisual` method here.
setVisual(BeanVisual) - Method in interface weka.gui.beans.Visible
  Set a new visual representation
setVoteFlag(boolean) - Method in class weka.datagenerators.classifiers.classification.RDG1
  Sets the vote flag.
setWeight(double) - Method in class weka.core.AbstractInstance
  Sets the weight of an instance.
setWeight(double) - Method in class weka.core.Attribute
  Sets the new attribute's weight.
setWeight(double) - Method in interface weka.core.Instance
  Sets the weight of an instance.
setWeight(double) - Method in class weka.core.pmml.jaxbbindings.Con1
  Sets the value of the weight property.
setWeight(Double) - Method in class weka.core.pmml.jaxbbindings.Item
  Sets the value of the weight property.
setWeight(Double) - Method in class weka.core.pmml.jaxbbindings.Segment
  Sets the value of the weight property.
setWeight(Double) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
  Sets the value of the weight property.
setWeightByDistance(boolean) - Method in class weka.attributeSelection.ReliefFAttributeEval
  Set the nearest neighbour weighting method
setWeighted(String) - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
  Sets the value of the weighted property.
setWeighted(String) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
  Sets the value of the weighted property.
setWeightField(String) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Sets the value of the weightField property.
setWeightingDimensions(boolean[]) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
  Set the dimensions to be used in computing a weight for each instance generated
setWeightingDimensions(boolean[]) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
  Set which dimensions to use when computing a weight for the next instance to generate
setWeightingKernel(int) - Method in class weka.classifiers.lazy.LWL
  Sets the kernel weighting method to use.
setWeightingValues(double[]) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
  Set the values of the dimensions (chosen via setWeightingDimensions) to be used when computing instance weights
setWeightingValues(double[]) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
  Set the values for the weighting dimensions to be used when computing the weight for the next instance to be generated
setWeightThreshold(int) - Method in class weka.classifiers.meta.AdaBoostM1
  Set weight threshold
setWeightThreshold(int) - Method in class weka.classifiers.meta.LogitBoost
  Set weight thresholding
setWeightTrimBeta(double) - Method in class weka.classifiers.functions.SimpleLogistic
  Set the value of weightTrimBeta.
setWeightTrimBeta(double) - Method in class weka.classifiers.trees.lmt.LogisticBase
  Sets the option "weightTrimBeta".
setWeightTrimBeta(double) - Method in class weka.classifiers.trees.LMT
  Set the value of weightTrimBeta.
setWidth(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
  Sets the value of the width property.
setWidth(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
  Sets the value of the width property.
setWidth(Double) - Method in class weka.core.pmml.jaxbbindings.Neuron
  Sets the value of the width property.
setWindowSize(int) - Method in class weka.classifiers.lazy.IBk
  Sets the maximum number of instances allowed in the training pool.
setWindowSize(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
  Sets the value of the windowSize property.
setWords(String) - Method in class weka.core.CheckScheme
  Sets the comma-separated list of words to use for generating strings.
setWords(String) - Method in class weka.core.TestInstances
  Sets the comma-separated list of words to use for generating strings.
setWordSeparators(String) - Method in class weka.core.CheckScheme
  sets the word separators (chars) to use for assembling strings.
setWordSeparators(String) - Method in class weka.core.TestInstances
  sets the word separators (chars) to use for assembling strings.
setWordsToKeep(int) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Sets the number of words (per class if there is a class attribute assigned) to attempt to keep.
setWordwrap(boolean) - Method in class weka.gui.LogWindow
  toggles the wordwrap
  override wordwrap from: http://forum.java.sun.com/thread.jspa?threadID=498535&messageID=2356174
setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Associator
  Sets the algorithm (associator) for this bean
setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Classifier
  Sets the algorithm (classifier) for this bean
setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Clusterer
  Sets the algorithm (clusterer) for this bean
setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Filter
  Set the filter to be wrapped by this bean
setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Loader
  Set the loader
setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Saver
  Set the saver
setWrappedAlgorithm(Object) - Method in interface weka.gui.beans.WekaWrapper
  Set the algorithm.
setWrappedRules(AssociationRules) - Method in class weka.associations.FilteredAssociationRules
  Set the wrapped `AssociationRules` object to use.
setX(double) - Method in class weka.classifiers.functions.neural.NeuralConnection
setX(int) - Method in class weka.gui.beans.BeanInstance
  Sets the x coordinate of this bean
setX(int) - Method in class weka.gui.visualize.AttributePanel
  shows which bar is the current x attribute.
setXAttribute(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Set the x attribute index
setXAttribute(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the x axis fixed dimension
setXCoordinates(XCoordinates) - Method in class weka.core.pmml.jaxbbindings.LiftGraph
  Sets the value of the xCoordinates property.
setXCoordinates(XCoordinates) - Method in class weka.core.pmml.jaxbbindings.ROCGraph
  Sets the value of the xCoordinates property.
setXindex(int) - Method in class weka.gui.visualize.Plot2D
  Set the index of the attribute to go on the x axis
setXindex(int) - Method in class weka.gui.visualize.PlotData2D
  Set the x index of the data.
setXIndex(int) - Method in class weka.gui.visualize.VisualizePanel
  Set the index of the attribute for the x axis
setXLabelFreq(int) - Method in class weka.gui.beans.StripChart
  Set the frequency for printing x label values
setXML(Reader) - Method in class weka.core.xml.XMLInstances
  reads the XML structure from the given reader
setXORMode(Color) - Method in class weka.gui.visualize.PostscriptGraphics
  Not implemented
setXval(boolean) - Method in class weka.attributeSelection.AttributeSelection
  do a cross validation
setXY(int, int) - Method in class weka.gui.beans.BeanInstance
  Set the x and y coordinates of this bean
setY(double) - Method in class weka.classifiers.functions.neural.NeuralConnection
setY(int) - Method in class weka.gui.beans.BeanInstance
  Sets the y coordinate of this bean
setY(int) - Method in class weka.gui.visualize.AttributePanel
  shows which bar is the current y attribute.
setYAttribute(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Set the y attribute index
setYAttribute(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
  Set the y axis fixed dimension
setYCoordinates(YCoordinates) - Method in class weka.core.pmml.jaxbbindings.LiftGraph
  Sets the value of the yCoordinates property.
setYCoordinates(YCoordinates) - Method in class weka.core.pmml.jaxbbindings.ROCGraph
  Sets the value of the yCoordinates property.
setYindex(int) - Method in class weka.gui.visualize.Plot2D
  Set the index of the attribute to go on the y axis
setYindex(int) - Method in class weka.gui.visualize.PlotData2D
  Set the y index of the data
setYIndex(int) - Method in class weka.gui.visualize.VisualizePanel
  Set the index of the attribute for the y axis
setZeroThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.VerificationField
  Sets the value of the zeroThreshold property.
setZMax(double) - Method in class weka.classifiers.meta.LogitBoost
  Set the Z max threshold on the responses
setZoomSetting(int, int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
SEVERE - Static variable in class weka.core.Debug
  the log level Severe
SFEntropyGain() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the total SF, which is the null model entropy minus the scheme entropy.
SFEntropyGain() - Method in class weka.classifiers.Evaluation
  Returns the total SF, which is the null model entropy minus the scheme entropy.
SFMeanEntropyGain() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the SF per instance, which is the null model entropy minus the scheme entropy, per instance.
SFMeanEntropyGain() - Method in class weka.classifiers.Evaluation
  Returns the SF per instance, which is the null model entropy minus the scheme entropy, per instance.
SFMeanPriorEntropy() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the entropy per instance for the null model.
SFMeanPriorEntropy() - Method in class weka.classifiers.Evaluation
  Returns the entropy per instance for the null model.
SFMeanSchemeEntropy() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the entropy per instance for the scheme.
SFMeanSchemeEntropy() - Method in class weka.classifiers.Evaluation
  Returns the entropy per instance for the scheme.
SFPriorEntropy() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the total entropy for the null model.
SFPriorEntropy() - Method in class weka.classifiers.Evaluation
  Returns the total entropy for the null model.
SFSchemeEntropy() - Method in class weka.classifiers.evaluation.Evaluation
  Returns the total entropy for the scheme.
SFSchemeEntropy() - Method in class weka.classifiers.Evaluation
  Returns the total entropy for the scheme.
SGD - Class in weka.classifiers.functions
  Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression, squared loss, Huber loss and epsilon-insensitive loss linear regression).
SGD() - Constructor for class weka.classifiers.functions.SGD
SGDText - Class in weka.classifiers.functions
  Implements stochastic gradient descent for learning a linear binary class SVM or binary class logistic regression on text data.
SGDText() - Constructor for class weka.classifiers.functions.SGDText
SGDText.Count - Class in weka.classifiers.functions
SGDText.Count(double) - Constructor for class weka.classifiers.functions.SGDText.Count
ShadowBorder - Class in weka.gui.beans
ShadowBorder() - Constructor for class weka.gui.beans.ShadowBorder
  Constructor.
ShadowBorder(int) - Constructor for class weka.gui.beans.ShadowBorder
  Constructor.
ShadowBorder(int, Color) - Constructor for class weka.gui.beans.ShadowBorder
  Constructor.
shear(double, double) - Method in class weka.gui.visualize.PostscriptGraphics
shift(int, int, Instance) - Method in class weka.classifiers.trees.j48.Distribution
  Shifts given instance from one bag to another one.
shift(int, int) - Method in class weka.core.matrix.IntVector
  Shifts an element to another position.
shiftBeans(BeanInstance, boolean) - Method in class weka.gui.beans.MetaBean
  Move coords of all inputs and outputs of this meta bean to the coords of the supplied BeanInstance.
shiftRange(int, int, Instances, int, int) - Method in class weka.classifiers.trees.j48.Distribution
  Shifts all instances in given range from one bag to another one.
shiftToEnd(int) - Method in class weka.core.matrix.IntVector
  Shifts an element to the end of the vector.
SHORT - Static variable in class weka.experiment.DatabaseUtils
  Type mapping for SHORT used for reading experiment results.
show(Component, int, int) - Method in class weka.gui.GenericObjectEditor.JTreePopupMenu
  Displays the menu, making sure it will fit on the screen.
showAttributes() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  displays all the attributes, returns the selected item or NULL if canceled
showAverageTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
showChart() - Method in class weka.gui.beans.StripChart
  Popup the chart panel
showDialog(Component, String) - Method in class weka.gui.ConverterFileChooser
  Pops a custom file chooser dialog with a custom approve button.
showDialog() - Method in class weka.gui.experiment.OutputFormatDialog
  Pops up the modal dialog and waits for cancel or a selection.
showDialog() - Method in class weka.gui.ListSelectorDialog
  Pops up the modal dialog and waits for cancel or a selection.
showDialog() - Method in class weka.gui.PropertySelectorDialog
  Pops up the modal dialog and waits for cancel or a selection.
showDialog() - Method in class weka.gui.ViewerDialog
  Pops up the modal dialog and waits for Cancel or OK.
showDialog(Instances) - Method in class weka.gui.ViewerDialog
  Pops up the modal dialog and waits for Cancel or OK.
showExplorer(String) - Method in class weka.gui.GUIChooser
showHistory() - Method in class weka.gui.sql.ConnectionPanel
  displays the query history.
showHistory() - Method in class weka.gui.sql.QueryPanel
  displays the query history.
showInputBox(Component, String, String, Object) - Static method in class weka.gui.ComponentHelper
  pops up an input dialog
showKnowledgeFlow(String) - Method in class weka.gui.GUIChooser
showMemoryIsLow() - Method in class weka.core.Memory
  Prints a warning message if memoryIsLow (and if GUI is present a dialog).
showMessageBox(Component, String, String, int, int) - Static method in class weka.gui.ComponentHelper
  displays a message box with the given title, message, buttons and icon ant the dimension.
showOpenDialog(Component) - Method in class weka.gui.ConverterFileChooser
  Pops up an "Open File" file chooser dialog.
showOutOfMemory() - Method in class weka.core.Memory
  prints an error message if OutOfMemory (and if GUI is present a dialog), otherwise nothing happens.
showPanel(ScriptingPanel, String[]) - Static method in class weka.gui.scripting.ScriptingPanel
  Displays the panel in a frame.
showPanel(ScriptingPanel, String[], int, int) - Static method in class weka.gui.scripting.ScriptingPanel
  Displays the panel in a frame.
showPopup() - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
  if a JPopupMenu is set, it is displayed again.
showProperties() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  displays some properties of the instances
showPropertyDialog() - Method in class weka.gui.PropertyPanel
  Displays the property edit dialog for the panel.
showResults() - Method in class weka.gui.beans.GraphViewer
  Popup a result list from which the user can select a graph to view
showResults() - Method in class weka.gui.beans.TextViewer
  Popup a component to display the selected text
showSaveDialog(Component) - Method in class weka.gui.ConverterFileChooser
  Pops up an "Save File" file chooser dialog.
showStdDevTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
showTree() - Method in class weka.gui.HierarchyPropertyParser
  Show the whole tree in text format
showValues() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  displays all the distinct values for an attribute
showWindow(Container) - Method in class weka.gui.Main
  brings child frame to the top.
showWindow(Class<?>) - Method in class weka.gui.Main
  brings the first frame to the top that is of the specified window class.
shrinkageTipText() - Method in class weka.classifiers.meta.AdditiveRegression
  Returns the tip text for this property
shrinkageTipText() - Method in class weka.classifiers.meta.LogitBoost
  Returns the tip text for this property
sigLevel - Variable in class weka.experiment.PairedStats
  The significance level for comparisons
sigmaTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Returns the tip text for this property
sigmaTipText() - Method in class weka.classifiers.functions.supportVector.Puk
  Returns the tip text for this property
SigmoidKernelType - Class in weka.core.pmml.jaxbbindings
  Java class for SigmoidKernelType element declaration.
SigmoidKernelType() - Constructor for class weka.core.pmml.jaxbbindings.SigmoidKernelType
SigmoidUnit - Class in weka.classifiers.functions.neural
  This can be used by the neuralnode to perform all it's computations (as a sigmoid unit).
SigmoidUnit() - Constructor for class weka.classifiers.functions.neural.SigmoidUnit
sign() - Method in class weka.core.matrix.DoubleVector
  Returns the signs of all elements in terms of -1, 0 and +1.
SIGNIFICANCE_LOSS - Static variable in class weka.experiment.ResultMatrix
  loss.
SIGNIFICANCE_TIE - Static variable in class weka.experiment.ResultMatrix
  tie.
SIGNIFICANCE_WIN - Static variable in class weka.experiment.ResultMatrix
  win.
significanceLevelTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
significanceLevelTipText() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Returns the tip text for this property
significanceWidthTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
SimpleBatchFilter - Class in weka.filters
  This filter is a superclass for simple batch filters.
SimpleBatchFilter() - Constructor for class weka.filters.SimpleBatchFilter
SimpleCLI - Class in weka.gui
  Creates a very simple command line for invoking the main method of classes.
SimpleCLI() - Constructor for class weka.gui.SimpleCLI
  Constructor.
SimpleCLIPanel - Class in weka.gui
  Creates a very simple command line for invoking the main method of classes.
SimpleCLIPanel() - Constructor for class weka.gui.SimpleCLIPanel
SimpleCLIPanel.CommandlineCompletion - Class in weka.gui
  A class for commandline completion of classnames.
SimpleCLIPanel.CommandlineCompletion() - Constructor for class weka.gui.SimpleCLIPanel.CommandlineCompletion
  default constructor.
SimpleDateFormatEditor - Class in weka.gui
  Class for editing SimpleDateFormat strings.
SimpleDateFormatEditor() - Constructor for class weka.gui.SimpleDateFormatEditor
  Constructs a new SimpleDateFormatEditor.
SimpleEstimator - Class in weka.classifiers.bayes.net.estimate
  SimpleEstimator is used for estimating the conditional probability tables of a Bayes network once the structure has been learned.
SimpleEstimator() - Constructor for class weka.classifiers.bayes.net.estimate.SimpleEstimator
SimpleFilter - Class in weka.filters
  This filter contains common behavior of the SimpleBatchFilter and the SimpleStreamFilter.
SimpleFilter() - Constructor for class weka.filters.SimpleFilter
SimpleKMeans - Class in weka.clusterers
  Cluster data using the k means algorithm.
SimpleKMeans() - Constructor for class weka.clusterers.SimpleKMeans
  the default constructor.
SimpleLinearRegression - Class in weka.classifiers.functions
  Learns a simple linear regression model.
SimpleLinearRegression() - Constructor for class weka.classifiers.functions.SimpleLinearRegression
SimpleLinearRegression - Class in weka.classifiers.trees.lmt
  Stripped down version of SimpleLinearRegression.
SimpleLinearRegression() - Constructor for class weka.classifiers.trees.lmt.SimpleLinearRegression
  Default constructor.
SimpleLinearRegression(int, double, double) - Constructor for class weka.classifiers.trees.lmt.SimpleLinearRegression
  Construct a simple linear regression model based on the given info.
SimpleLogistic - Class in weka.classifiers.functions
  Classifier for building linear logistic regression models.
SimpleLogistic() - Constructor for class weka.classifiers.functions.SimpleLogistic
  Constructor for creating SimpleLogistic object with standard options.
SimpleLogistic(int, boolean, boolean) - Constructor for class weka.classifiers.functions.SimpleLogistic
  Constructor for creating SimpleLogistic object.
SimpleMatching - Class in weka.core.pmml.jaxbbindings
  Java class for simpleMatching element declaration.
SimpleMatching() - Constructor for class weka.core.pmml.jaxbbindings.SimpleMatching
SimplePredicate - Class in weka.core.pmml.jaxbbindings
  Java class for SimplePredicate element declaration.
SimplePredicate() - Constructor for class weka.core.pmml.jaxbbindings.SimplePredicate
SimpleRule - Class in weka.core.pmml.jaxbbindings
  Java class for SimpleRule element declaration.
SimpleRule() - Constructor for class weka.core.pmml.jaxbbindings.SimpleRule
SimpleSetPredicate - Class in weka.core.pmml.jaxbbindings
  Java class for SimpleSetPredicate element declaration.
SimpleSetPredicate() - Constructor for class weka.core.pmml.jaxbbindings.SimpleSetPredicate
SimpleSetupPanel - Class in weka.gui.experiment
  This panel controls the configuration of an experiment.
SimpleSetupPanel(Experiment) - Constructor for class weka.gui.experiment.SimpleSetupPanel
  Creates the setup panel with the supplied initial experiment.
SimpleSetupPanel() - Constructor for class weka.gui.experiment.SimpleSetupPanel
  Creates the setup panel with no initial experiment.
SimpleStreamFilter - Class in weka.filters
  This filter is a superclass for simple stream filters.
SimpleStreamFilter() - Constructor for class weka.filters.SimpleStreamFilter
SimulatedAnnealing - Class in weka.classifiers.bayes.net.search.global
  This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring network structure.
  For more information see:
  R.R.
SimulatedAnnealing() - Constructor for class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
SimulatedAnnealing - Class in weka.classifiers.bayes.net.search.local
  This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring network structure.
  For more information see:
  R.R.
SimulatedAnnealing() - Constructor for class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
SIN - Static variable in interface weka.core.mathematicalexpression.sym
SIN - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
SINE - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
  Constant set for choice of pattern.
SingleAssociatorEnhancer - Class in weka.associations
  Abstract utility class for handling settings common to meta associators that use a single base associator.
SingleAssociatorEnhancer() - Constructor for class weka.associations.SingleAssociatorEnhancer
SingleClassifierEnhancer - Class in weka.classifiers
  Abstract utility class for handling settings common to meta classifiers that use a single base learner.
SingleClassifierEnhancer() - Constructor for class weka.classifiers.SingleClassifierEnhancer
SingleClustererEnhancer - Class in weka.clusterers
  Meta-clusterer for enhancing a base clusterer.
SingleClustererEnhancer() - Constructor for class weka.clusterers.SingleClustererEnhancer
SingleIndex - Class in weka.core
  Class representing a single cardinal number.
SingleIndex() - Constructor for class weka.core.SingleIndex
  Default constructor.
SingleIndex(String) - Constructor for class weka.core.SingleIndex
  Constructor to set initial index.
singletons(Instances, boolean) - Static method in class weka.associations.AprioriItemSet
  Converts the header info of the given set of instances into a set of item sets (singletons).
singletons(Instances) - Static method in class weka.associations.ItemSet
  Converts the header info of the given set of instances into a set of item sets (singletons).
singletons(Instances, Instances) - Static method in class weka.associations.LabeledItemSet
  Converts the header info of the given set of instances into a set of item sets (singletons).
SINGULAR_DUMMY - Static variable in interface weka.gui.graphvisualizer.GraphConstants
  SINGULAR_DUMMY node - node with only one outgoing edge i.e.
SingularValueDecomposition - Class in weka.core.matrix
  Singular Value Decomposition.
SingularValueDecomposition(Matrix) - Constructor for class weka.core.matrix.SingularValueDecomposition
  Construct the singular value decomposition
size() - Method in class weka.classifiers.CostMatrix
  The number of rows (and columns)
size() - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Gets the number of classes.
size() - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
  Returns the number of keys in this hashtable.
size() - Method in class weka.classifiers.rules.JRip.RipperRule
  the number of antecedents of the rule
size() - Method in class weka.classifiers.rules.Rule
  The size of the rule.
size() - Method in class weka.core.Instances
  Returns the number of instances in the dataset.
size() - Method in class weka.core.matrix.DoubleVector
  Gets the size of the vector.
size() - Method in class weka.core.matrix.IntVector
  Gets the size of the vector.
size() - Method in class weka.core.PropertyPath.Path
  returns the number of path elements of this structure
size() - Method in class weka.core.Queue
  Gets queue's size.
size() - Method in class weka.core.Tee
  returns the number of streams currently in the list.
size() - Method in class weka.core.Trie
  Returns the number of elements in this collection.
size() - Method in class weka.core.Trie.TrieNode
  returns the number of stored strings, i.e., leaves
size() - Method in class weka.core.xml.MethodHandler
  returns the number of currently stored Methods
size() - Method in class weka.gui.GenericObjectEditorHistory
  Returns the number of entries in the history.
sizeOfPredictedRegions() - Method in class weka.classifiers.evaluation.Evaluation
  Gets the average size of the predicted regions, relative to the range of the target in the training data, at the confidence level specified when evaluation was performed.
sizeOfPredictedRegions() - Method in class weka.classifiers.Evaluation
  Gets the average size of the predicted regions, relative to the range of the target in the training data, at the confidence level specified when evaluation was performed.
skipIdenticalTipText() - Method in class weka.core.neighboursearch.LinearNNSearch
  Returns the tip text for this property.
SlidingMidPointOfWidestSide - Class in weka.core.neighboursearch.kdtrees
  The class that splits a node into two based on the midpoint value of the dimension in which the node's rectangle is widest.
SlidingMidPointOfWidestSide() - Constructor for class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
sm(double, double) - Static method in class weka.core.Utils
  Tests if a is smaller than b.
SMALL - Static variable in class weka.core.Utils
  The small deviation allowed in double comparisons.
SMO - Class in weka.classifiers.functions
  Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier.
  This implementation globally replaces all missing values and transforms nominal attributes into binary ones.
SMO() - Constructor for class weka.classifiers.functions.SMO
SMO.BinarySMO - Class in weka.classifiers.functions
  Class for building a binary support vector machine.
SMO.BinarySMO() - Constructor for class weka.classifiers.functions.SMO.BinarySMO
SMOreg - Class in weka.classifiers.functions
  SMOreg implements the support vector machine for regression.
SMOreg() - Constructor for class weka.classifiers.functions.SMOreg
smOrEq(double, double) - Static method in class weka.core.Utils
  Tests if a is smaller or equal to b.
SMOset - Class in weka.classifiers.functions.supportVector
  Stores a set of integer of a given size.
SMOset(int) - Constructor for class weka.classifiers.functions.supportVector.SMOset
  Creates a new set of the given size.
SNAPSHOT - Static variable in class weka.core.Version
  True if snapshot
SnowballStemmer - Class in weka.core.stemmers
  A wrapper class for the Snowball stemmers.
SnowballStemmer() - Constructor for class weka.core.stemmers.SnowballStemmer
  initializes the stemmer ("porter").
SnowballStemmer(String) - Constructor for class weka.core.stemmers.SnowballStemmer
  initializes the stemmer with the given stemmer.
solve(Matrix) - Method in class weka.core.matrix.CholeskyDecomposition
  Solve A*X = B
solve(Matrix) - Method in class weka.core.matrix.LUDecomposition
  Solve A*X = B
solve(Matrix) - Method in class weka.core.matrix.Matrix
  Solve A*X = B
solve(Matrix) - Method in class weka.core.matrix.QRDecomposition
  Least squares solution of A*X = B
solve(double[]) - Method in class weka.core.Matrix
  Deprecated.
  Solve A*X = B using backward substitution.
solveTranspose(Matrix) - Method in class weka.core.matrix.Matrix
  Solve X*A = B, which is also A'*X' = B'
solveTriangle(Matrix, double[], boolean, boolean[]) - Static method in class weka.core.Optimization
  Solve the linear equation of TX=B where T is a triangle matrix It can be solved using back/forward substitution, with O(N^2) complexity
sort(int) - Method in class weka.core.Instances
  Sorts the instances based on an attribute.
sort(Attribute) - Method in class weka.core.Instances
  Sorts the instances based on an attribute.
sort() - Method in class weka.core.matrix.DoubleVector
  Sorts the array in place
sort() - Method in class weka.core.matrix.IntVector
  Sorts the elements in place
sort(int[]) - Static method in class weka.core.Utils
  Sorts a given array of integers in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
sort(double[]) - Static method in class weka.core.Utils
  Sorts a given array of doubles in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
sort(int, boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  sorts the table over the given column, either ascending or descending
sort(int) - Method in class weka.gui.SortedTableModel
  sorts the table over the given column (ascending)
sort(int, boolean) - Method in class weka.gui.SortedTableModel
  sorts the table over the given column, either ascending or descending
SORT_CASEINSENSITIVE - Static variable in class weka.filters.unsupervised.attribute.SortLabels
  sorts the strings case-insensitive.
SORT_CASESENSITIVE - Static variable in class weka.filters.unsupervised.attribute.SortLabels
  sorts the strings case-sensitive.
sortClassesByRoot(String) - Static method in class weka.gui.GenericObjectEditor
  parses the given string of classes separated by ", " and returns the a hashtable with as many entries as there are different root elements in the class names (the key is the root element).
SortedTableModel - Class in weka.gui
  Represents a TableModel with sorting functionality.
SortedTableModel() - Constructor for class weka.gui.SortedTableModel
  initializes with no model
SortedTableModel(TableModel) - Constructor for class weka.gui.SortedTableModel
  initializes with the given model
SortedTableModel.SortContainer - Class in weka.gui
  Helper class for sorting the columns.
SortedTableModel.SortContainer(Comparable<?>, int) - Constructor for class weka.gui.SortedTableModel.SortContainer
  Initializes the container.
Sorter - Class in weka.gui.beans
  Sorts incoming instances in ascending or descending order according to the values of user specified attributes.
Sorter() - Constructor for class weka.gui.beans.Sorter
  Constructs a new Sorter
SorterBeanInfo - Class in weka.gui.beans
  BeanInfo class for the Sorter step
SorterBeanInfo() - Constructor for class weka.gui.beans.SorterBeanInfo
SorterCustomizer - Class in weka.gui.beans
  Customizer for the Sorter step
SorterCustomizer() - Constructor for class weka.gui.beans.SorterCustomizer
  Constructor
sortInstances() - Method in class weka.gui.arffviewer.ArffPanel
  sorts the instances via the currently selected column
sortInstances(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  sorts the instances via the given attribute
sortInstances(int, boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
  sorts the instances via the given attribute
sortInstances(int) - Method in class weka.gui.arffviewer.ArffTableModel
  sorts the instances via the given attribute
sortInstances(int, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
  sorts the instances via the given attribute
sortInstances() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  sorts the current selected attribute
SortLabels - Class in weka.filters.unsupervised.attribute
  A simple filter for sorting the labels of nominal attributes.
SortLabels() - Constructor for class weka.filters.unsupervised.attribute.SortLabels
SortLabels.CaseInsensitiveComparator - Class in weka.filters.unsupervised.attribute
  Represents a case-insensitive comparator for two strings.
SortLabels.CaseInsensitiveComparator() - Constructor for class weka.filters.unsupervised.attribute.SortLabels.CaseInsensitiveComparator
SortLabels.CaseSensitiveComparator - Class in weka.filters.unsupervised.attribute
  Represents a case-sensitive comparator for two strings.
SortLabels.CaseSensitiveComparator() - Constructor for class weka.filters.unsupervised.attribute.SortLabels.CaseSensitiveComparator
sortTipText() - Method in class weka.filters.unsupervised.attribute.AddValues
  Returns the tip text for this property
sortTypeTipText() - Method in class weka.filters.unsupervised.attribute.SortLabels
  Returns the tip text for this property.
sortWithIndex() - Method in class weka.core.matrix.DoubleVector
  Sorts the array in place with index returned
sortWithIndex(int, int, IntVector) - Method in class weka.core.matrix.DoubleVector
  Sorts the array in place with index changed
sortWithNoMissingValues(double[]) - Static method in class weka.core.Utils
  Sorts a given array of doubles in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
Sourcable - Interface in weka.classifiers
  Interface for classifiers that can be converted to Java source.
Sourcable - Interface in weka.filters
  Interface for filters that can be converted to Java source.
sourceClass(int, Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
  Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.C45Split
  Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.NBTreeSplit
  Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.NoSplit
  Returns a string containing java source code equivalent to the test made at this node.
sourceExpression(int, Instances) - Method in class weka.classifiers.trees.lmt.ResidualSplit
  Method not in use
SOUTH_CONNECTOR - Static variable in class weka.gui.beans.BeanVisual
spaceHorizontal(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  space out set of nodes evenly between left and right most node in the list
spaceVertical(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  space out set of nodes evenly between top and bottom most node in the list
SPARSE - Static variable in class weka.core.json.JSONInstances
  the sparse attribute.
SPARSE1 - Static variable in class weka.filters.unsupervised.attribute.RandomProjection
  distribution type: sparse 1
SPARSE2 - Static variable in class weka.filters.unsupervised.attribute.RandomProjection
  distribution type: sparse 2
SPARSE_SEPARATOR - Static variable in class weka.core.json.JSONInstances
  the separator for index/value in case of sparse instances.
SparseArray - Class in weka.core.pmml
  Implementation of a sparse array.
sparseDataTipText() - Method in class weka.core.converters.DatabaseLoader
  Returns the tip text for this property
sparseDataTipText() - Method in class weka.experiment.InstanceQuery
  Returns the tip text for this property
sparseIndices() - Method in class weka.classifiers.functions.SMO
  Returns the indices in sparse format.
SparseInstance - Class in weka.core
  Class for storing an instance as a sparse vector.
SparseInstance(Instance) - Constructor for class weka.core.SparseInstance
  Constructor that generates a sparse instance from the given instance.
SparseInstance(SparseInstance) - Constructor for class weka.core.SparseInstance
  Constructor that copies the info from the given instance.
SparseInstance(double, double[]) - Constructor for class weka.core.SparseInstance
  Constructor that generates a sparse instance from the given parameters.
SparseInstance(double, double[], int[], int) - Constructor for class weka.core.SparseInstance
  Constructor that inititalizes instance variable with given values.
SparseInstance(int) - Constructor for class weka.core.SparseInstance
  Constructor of an instance that sets weight to one, all values to be missing, and the reference to the dataset to null.
SparseToNonSparse - Class in weka.filters.unsupervised.instance
  An instance filter that converts all incoming sparse instances into non-sparse format.
SparseToNonSparse() - Constructor for class weka.filters.unsupervised.instance.SparseToNonSparse
sparseWeights() - Method in class weka.classifiers.functions.SMO
  Returns the weights in sparse format.
SpecialFunctions - Class in weka.core
  Class implementing some mathematical functions.
SpecialFunctions() - Constructor for class weka.core.SpecialFunctions
sphere - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
  used/reused to hold the sphere size
splash(Image) - Static method in class weka.gui.SplashWindow
  Open's a splash window using the specified image.
splash(URL) - Static method in class weka.gui.SplashWindow
  Open's a splash window using the specified image.
SplashWindow - Class in weka.gui
  A Splash window.
Split - Class in weka.classifiers.trees.ht
  Base class for different split types
Split() - Constructor for class weka.classifiers.trees.ht.Split
split(Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Splits the given set of instances into subsets.
split() - Method in class weka.classifiers.trees.m5.RuleNode
  Finds an attribute and split point for this node
splitAtt() - Method in class weka.classifiers.trees.m5.RuleNode
  Get the index of the splitting attribute for this node
splitAttr() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
  Returns the attribute used in this split
splitAttr() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
  Returns the attribute used in this split
splitAttr() - Method in class weka.classifiers.trees.m5.YongSplitInfo
  Returns the attribute used in this split
splitAttributes() - Method in class weka.classifiers.trees.ht.Split
SplitCandidate - Class in weka.classifiers.trees.ht
  Encapsulates a candidate split
SplitCandidate(Split, List<Map<String, WeightMass>>, double) - Constructor for class weka.classifiers.trees.ht.SplitCandidate
  Constructor
splitConfidenceTipText() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns the tip text for this property
SplitCriterion - Class in weka.classifiers.trees.j48
  Abstract class for computing splitting criteria with respect to distributions of class values.
SplitCriterion() - Constructor for class weka.classifiers.trees.j48.SplitCriterion
splitCriterionTipText() - Method in class weka.classifiers.trees.HoeffdingTree
  Returns the tip text for this property
splitCritValue(Distribution) - Method in class weka.classifiers.trees.j48.EntropySplitCrit
  Computes entropy for given distribution.
splitCritValue(Distribution, Distribution) - Method in class weka.classifiers.trees.j48.EntropySplitCrit
  Computes entropy of test distribution with respect to training distribution.
splitCritValue(Distribution) - Method in class weka.classifiers.trees.j48.GainRatioSplitCrit
  This method is a straightforward implementation of the gain ratio criterion for the given distribution.
splitCritValue(Distribution, double, double) - Method in class weka.classifiers.trees.j48.GainRatioSplitCrit
  This method computes the gain ratio in the same way C4.5 does.
splitCritValue(Distribution) - Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
  This method is a straightforward implementation of the information gain criterion for the given distribution.
splitCritValue(Distribution, double) - Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
  This method computes the information gain in the same way C4.5 does.
splitCritValue(Distribution, double, double) - Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
  This method computes the information gain in the same way C4.5 does.
splitCritValue(Distribution) - Method in class weka.classifiers.trees.j48.SplitCriterion
  Computes result of splitting criterion for given distribution.
splitCritValue(Distribution, Distribution) - Method in class weka.classifiers.trees.j48.SplitCriterion
  Computes result of splitting criterion for given training and test distributions.
splitCritValue(Distribution, Distribution, int) - Method in class weka.classifiers.trees.j48.SplitCriterion
  Computes result of splitting criterion for given training and test distributions and given number of classes.
splitCritValue(Distribution, Distribution, Distribution) - Method in class weka.classifiers.trees.j48.SplitCriterion
  Computes result of splitting criterion for given training and test distributions and given default distribution.
splitData(Instances, double, double) - Method in class weka.classifiers.rules.JRip.Antd
splitData(Instances, double, double) - Method in class weka.classifiers.rules.JRip.NominalAntd
  Implements the splitData function.
splitData(Instances, double, double) - Method in class weka.classifiers.rules.JRip.NumericAntd
  Implements the splitData function.
splitEnt(Distribution) - Method in class weka.classifiers.trees.j48.EntropyBasedSplitCrit
  Computes entropy after splitting without considering the class values.
SplitEvaluate - Interface in weka.classifiers.trees.m5
  Interface for objects that determine a split point on an attribute
SplitEvaluator - Interface in weka.experiment
  Interface to objects able to generate a fixed set of results for a particular split of a dataset.
splitEvaluatorTipText() - Method in class weka.experiment.CrossValidationResultProducer
  Returns the tip text for this property
splitEvaluatorTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the tip text for this property.
splitEvaluatorTipText() - Method in class weka.experiment.RandomSplitResultProducer
  Returns the tip text for this property
SplitMetric - Class in weka.classifiers.trees.ht
  Base class for split metrics
SplitMetric() - Constructor for class weka.classifiers.trees.ht.SplitMetric
SplitNode - Class in weka.classifiers.trees.ht
  Class for a node that splits the data in a Hoeffding tree
SplitNode(Map<String, WeightMass>, Split) - Constructor for class weka.classifiers.trees.ht.SplitNode
  Construct a new SplitNode
splitNode(BallNode, int) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
  Splits a node into two.
splitNode(BallNode, int) - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
  Splits a ball into two.
splitNode(BallNode, int) - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
  Splits a ball into two.
splitNode(BallNode, int) - Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
  Splits a ball into two.
splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Splits a node into two.
splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
  Splits a node into two such that the overall sum of squared distances of points to their centres on both sides of the (axis-parallel) splitting plane is minimum.
splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
  Splits a node into two based on the median value of the dimension in which the points have the widest spread.
splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
  Splits a node into two based on the midpoint value of the dimension in which the points have the widest spread.
splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
  Splits a node into two based on the midpoint value of the dimension in which the node's rectangle is widest.
splitOnResidualsTipText() - Method in class weka.classifiers.trees.LMT
  Returns the tip text for this property
splitOptions(String) - Static method in class weka.core.Utils
  Split up a string containing options into an array of strings, one for each option.
splitPoint() - Method in class weka.classifiers.trees.j48.BinC45Split
  Returns the split point (numeric attribute only).
splitPoint() - Method in class weka.classifiers.trees.j48.C45Split
  Returns the split point (numeric attribute only).
splitPointTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
  Returns the tip text for this property
splitVal() - Method in class weka.classifiers.trees.m5.RuleNode
  Get the split point for this node
splitValue() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
  Returns the split value
splitValue() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
  Returns the split value
splitValue() - Method in class weka.classifiers.trees.m5.YongSplitInfo
  Returns the split value
spreadInitialCountTipText() - Method in class weka.classifiers.trees.REPTree
  Returns the tip text for this property
SpreadSubsample - Class in weka.filters.supervised.instance
  Produces a random subsample of a dataset.
SpreadSubsample() - Constructor for class weka.filters.supervised.instance.SpreadSubsample
sqDifference(int, double, double) - Method in class weka.core.EuclideanDistance
  Returns the squared difference of two values of an attribute.
SqlViewer - Class in weka.gui.sql
  Represents a little tool for querying SQL databases.
SqlViewer(JFrame) - Constructor for class weka.gui.sql.SqlViewer
  initializes the SqlViewer.
SqlViewerDialog - Class in weka.gui.sql
  A little dialog containing the SqlViewer.
SqlViewerDialog(JFrame) - Constructor for class weka.gui.sql.SqlViewerDialog
  initializes the dialog.
SQLViewerPerspective - Class in weka.gui.beans
  Simple Knowledge Flow perspective that wraps the SqlViewer class
SQLViewerPerspective() - Constructor for class weka.gui.beans.SQLViewerPerspective
  Constructor
SQRT - Static variable in interface weka.core.mathematicalexpression.sym
sqrt() - Method in class weka.core.matrix.DoubleVector
  Returns the square-root of all the elements in the vector
sqrt() - Method in class weka.core.matrix.Matrix
  returns the square root of the matrix, i.e., X from the equation X*X = A.
  Steps in the Calculation (see `sqrtm` in Matlab):
  perform eigenvalue decomposition
  [V,D]=eig(A) take the square root of all elements in D (only the ones with positive sign are considered for further computation)
  S=sqrt(D) calculate the root
  X=V*S/V, which can be also written as X=(V'\(V*S)')'

  Note: since this method uses other high-level methods, it generates several instances of matrices.
SQRT - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
square() - Method in class weka.core.matrix.DoubleVector
  Returns the squared vector
square(double) - Static method in class weka.core.matrix.Maths
  Returns the square of a value
SquaredEuclidean - Class in weka.core.pmml.jaxbbindings
  Java class for squaredEuclidean element declaration.
SquaredEuclidean() - Constructor for class weka.core.pmml.jaxbbindings.SquaredEuclidean
SQUAREDLOSS - Static variable in class weka.classifiers.functions.SGD
  the squared loss function.
src - Variable in class weka.gui.graphvisualizer.GraphEdge
  The index of source node in Nodes vector
srcLbl - Variable in class weka.gui.graphvisualizer.GraphEdge
  Label of source node
stableSort(int) - Method in class weka.core.Instances
  Sorts the instances based on an attribute, using a stable sort.
stableSort(Attribute) - Method in class weka.core.Instances
  Sorts the instances based on an attribute, using a stable sort.
stableSort(double[]) - Static method in class weka.core.Utils
  Sorts a given array of doubles in ascending order and returns an array of integers with the positions of the elements of the original array in the sorted array.
Stack<T> - Class in weka.core.neighboursearch.covertrees
  Class implementing a stack.
Stack() - Constructor for class weka.core.neighboursearch.covertrees.Stack
  Constructor.
Stack(int) - Constructor for class weka.core.neighboursearch.covertrees.Stack
  Constructor.
Stacking - Class in weka.classifiers.meta
  Combines several classifiers using the stacking method.
Stacking() - Constructor for class weka.classifiers.meta.Stacking
StandardEvaluationMetric - Interface in weka.classifiers.evaluation
  Primarily a marker interface for a "standard" evaluation metric - i.e.
Standardize - Class in weka.filters.unsupervised.attribute
  Standardizes all numeric attributes in the given dataset to have zero mean and unit variance (apart from the class attribute, if set).
Standardize() - Constructor for class weka.filters.unsupervised.attribute.Standardize
start() - Method in class weka.core.Debug.Clock
  saves the current system time (or CPU time) in msec as start time
start() - Method in class weka.gui.beans.Loader
  Start loading
start() - Method in class weka.gui.beans.MetaBean
start() - Method in interface weka.gui.beans.Startable
  Start the flow running
start() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Start the plotting thread
start() - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
  Start processing
start(String[]) - Method in class weka.gui.scripting.Script
  Executes the script.
start_production() - Method in class weka.core.json.Parser
  Indicates start production.
start_production() - Method in class weka.core.mathematicalexpression.Parser
  Indicates start production.
start_production() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Indicates start production.
start_state() - Method in class weka.core.json.Parser
  Indicates start state.
start_state() - Method in class weka.core.mathematicalexpression.Parser
  Indicates start state.
start_state() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Parser
  Indicates start state.
Startable - Interface in weka.gui.beans
  Interface to something that is a start point for a flow and can be launched programatically.
startApp() - Static method in class weka.gui.beans.KnowledgeFlow
  Static method that can be called from a running program to launch the KnowledgeFlow
startClock() - Method in class weka.core.Debug
  starts the clock
startLoading() - Method in class weka.gui.beans.Loader
  Start loading data
startPlotThread() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Starts the plotting thread.
StartSetHandler - Interface in weka.attributeSelection
  Interface for search methods capable of doing something sensible given a starting set of attributes.
startSetTipText() - Method in class weka.attributeSelection.BestFirst
  Returns the tip text for this property
startSetTipText() - Method in class weka.attributeSelection.GreedyStepwise
  Returns the tip text for this property
startSetTipText() - Method in class weka.attributeSelection.Ranker
  Returns the tip text for this property
startUpComplete() - Method in interface weka.gui.beans.StartUpListener
StartUpListener - Interface in weka.gui.beans
  Interface to something that can be notified of a successful startup
stateChanged(ChangeEvent) - Method in class weka.gui.arffviewer.ArffPanel
  Invoked when the target of the listener has changed its state.
stateChanged(ChangeEvent) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  Invoked when the target of the listener has changed its state.
stateChanged(ChangeEvent) - Method in class weka.gui.LogWindow
  Invoked when the target of the listener has changed its state.
stateChanged(ChangeEvent) - Method in class weka.gui.sql.ResultPanel
  Invoked when the target of the listener has changed its state.
stateChanged(ChangeEvent) - Method in class weka.gui.ViewerDialog
  Invoked when the target of the listener has changed its state.
statisticIsMaximisable(String) - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
  True if the optimum value of the named metric is a maximum value; false if the optimim value is a minimum value.
Statistics - Class in weka.core
  Class implementing some distributions, tests, etc.
Statistics() - Constructor for class weka.core.Statistics
Stats - Class in weka.classifiers.trees.j48
  Class implementing a statistical routine needed by J48 to compute its error estimate.
Stats() - Constructor for class weka.classifiers.trees.j48.Stats
Stats - Class in weka.experiment
  A class to store simple statistics
Stats() - Constructor for class weka.experiment.Stats
statusFrequencyTipText() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Return a tip text string for this property
statusMessage(String) - Method in class weka.gui.beans.FlowRunner.SimpleLogger
statusMessage(String) - Method in class weka.gui.beans.LogPanel
  Sends the supplied message to the status area.
statusMessage(String) - Method in interface weka.gui.Logger
  Sends the supplied message to the status line.
statusMessage(String) - Method in class weka.gui.LogPanel
  Sends the supplied message to the status line.
statusMessage(String) - Method in class weka.gui.SysErrLog
  Sends the supplied message to the status line.
stdDev - Variable in class weka.experiment.Stats
  The std deviation of values at the last calculateDerived() call
stdDevPrecTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
stdDevWidthTipText() - Method in class weka.experiment.ResultMatrix
  Returns the tip text for this property.
stealPoints(MiddleOutConstructor.TempNode, Vector<MiddleOutConstructor.TempNode>, Vector<double[]>) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
  Removes points from old anchors that are nearer to the given new anchor and adds them to the list of points of the new anchor.
stem(String) - Method in class weka.core.stemmers.IteratedLovinsStemmer
  Iterated stemming of the given word.
stem(String) - Method in class weka.core.stemmers.LovinsStemmer
  Returns the stemmed version of the given word.
stem(String) - Method in class weka.core.stemmers.NullStemmer
  Returns the word as it is.
stem(String) - Method in class weka.core.stemmers.SnowballStemmer
  Returns the word in its stemmed form.
stem(String) - Method in interface weka.core.stemmers.Stemmer
  Stems the given word and returns the stemmed version
Stemmer - Interface in weka.core.stemmers
  Interface for all stemming algorithms.
stemmerTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the tip text for this property.
stemmerTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property.
stemmerTipText() - Method in class weka.core.stemmers.SnowballStemmer
  Returns the tip text for this property.
stemmerTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
Stemming - Class in weka.core.stemmers
  A helper class for using the stemmers.
Stemming() - Constructor for class weka.core.stemmers.Stemming
stemString(String) - Method in class weka.core.stemmers.LovinsStemmer
  Stems everything in the given string.
STEP_FIELD_NAME - Static variable in class weka.experiment.LearningRateResultProducer
  The name of the key field containing the learning rate step number
stepSizeTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the tip text for this property
stepSizeTipText() - Method in class weka.experiment.LearningRateResultProducer
  Returns the tip text for this property
stirlingFormula(double) - Static method in class weka.core.Statistics
  Returns the Gamma function computed by Stirling's formula.
stop() - Method in class weka.core.Debug.Clock
  saves the current system (or CPU time) in msec as stop time
STOP - Static variable in class weka.core.Trie.TrieNode
  the stop character
stop() - Method in class weka.gui.beans.AbstractDataSink
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.AbstractEvaluator
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.AbstractTestSetProducer
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.AbstractTrainingSetProducer
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.Appender
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.Associator
  Stop any associator action
stop() - Method in interface weka.gui.beans.BeanCommon
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.ClassAssigner
stop() - Method in class weka.gui.beans.Classifier
  Stop any classifier action
stop() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
  Try and stop any action
stop() - Method in class weka.gui.beans.ClassValuePicker
stop() - Method in class weka.gui.beans.Clusterer
  Stop any clusterer action
stop() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
  Try and stop any action
stop() - Method in class weka.gui.beans.CostBenefitAnalysis
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.CrossValidationFoldMaker
  Stop any action
stop() - Method in class weka.gui.beans.DataVisualizer
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.Filter
  Stop all action if possible
stop() - Method in class weka.gui.beans.FlowByExpression
stop() - Method in class weka.gui.beans.ImageSaver
stop() - Method in class weka.gui.beans.ImageViewer
stop() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
  Stop all action
stop() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Stop any action (if possible).
stop() - Method in class weka.gui.beans.Join
  Attempt to stop processing
stop() - Method in class weka.gui.beans.Loader
  Stop any loading action.
stop() - Method in class weka.gui.beans.MetaBean
  Stop all encapsulated beans
stop() - Method in class weka.gui.beans.ModelPerformanceChart
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.PredictionAppender
stop() - Method in class weka.gui.beans.Saver
  Stops the bean
stop() - Method in class weka.gui.beans.SerializedModelSaver
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.Sorter
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.StripChart
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.SubstringLabeler
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.SubstringReplacer
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.TestSetMaker
stop() - Method in class weka.gui.beans.TextSaver
stop() - Method in class weka.gui.beans.TextViewer
  Stop any processing that the bean might be doing.
stop() - Method in class weka.gui.beans.TrainingSetMaker
  Stop any action
stop() - Method in class weka.gui.beans.TrainTestSplitMaker
  Stop processing
stop() - Method in class weka.gui.scripting.Script
  Stops the execution of the script.
stopAllFlows() - Method in class weka.gui.beans.FlowRunner
stopClock(String) - Method in class weka.core.Debug
  stops the clock and prints the message associated with the time, but only if the logging is enabled.
stopMonitoring() - Method in class weka.gui.MemoryUsagePanel
  stops the monitoring thread.
stopPlotting() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
  Stop the plotting thread
stopPlotting() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
  Stops the plotting thread.
stopScript() - Method in class weka.gui.scripting.Script.ScriptThread
  Stops the script execution.
stopThreads() - Method in class weka.core.Memory
  stops all the current threads, to make a restart possible
Stopwords - Class in weka.core
  Class that can test whether a given string is a stop word.
Stopwords() - Constructor for class weka.core.Stopwords
  initializes the stopwords (based on Rainbow).
StopwordsHandler - Interface in weka.core.stopwords
  Interface for classes that support stopword handling.
stopwordsHandlerTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the tip text for this property.
stopwordsHandlerTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property.
stopwordsHandlerTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
stopwordsTipText() - Method in class weka.core.stopwords.AbstractFileBasedStopwords
  Returns the tip text for this property.
stopwordsTipText() - Method in class weka.core.stopwords.MultiStopwords
  Returns the tip text for this property.
stopwordsTipText() - Method in class weka.core.stopwords.RegExpFromFile
  Returns the tip text for this property.
stopwordsTipText() - Method in class weka.core.stopwords.WordsFromFile
  Returns the tip text for this property.
store(double, double, double) - Method in class weka.classifiers.lazy.kstar.KStarCache
  Stores the specified values in the cahce table for easy retrieval.
storeEntry(String, String, Object) - Method in interface weka.gui.beans.KFMetaStore
  Store a named entry
storeEntry(String, String, Object) - Method in class weka.gui.beans.XMLFileBasedKFMetaStore
StratifiedRemoveFolds - Class in weka.filters.supervised.instance
  This filter takes a dataset and outputs a specified fold for cross validation.
StratifiedRemoveFolds() - Constructor for class weka.filters.supervised.instance.StratifiedRemoveFolds
stratify(Instances, int, Random) - Static method in class weka.classifiers.rules.RuleStats
  Stratify the given data into the given number of bags based on the class values.
stratify(int) - Method in class weka.core.Instances
  Stratifies a set of instances according to its class values if the class attribute is nominal (so that afterwards a stratified cross-validation can be performed).
StreamableFilter - Interface in weka.filters
  Interface for filters can work with a stream of instances.
StreamThroughput - Class in weka.gui.beans
  Class for measuring throughput of an incremental Knowledge Flow step.
StreamThroughput(String) - Constructor for class weka.gui.beans.StreamThroughput
  Construct a new StreamThroughput
StreamThroughput(String, String, Logger) - Constructor for class weka.gui.beans.StreamThroughput
  Construct a new StreamThroughput
StreamTokenizerUtils - Class in weka.core.converters
  Helper class for using stream tokenizers
StreamTokenizerUtils() - Constructor for class weka.core.converters.StreamTokenizerUtils
STRING - Static variable in class weka.core.Attribute
  Constant set for attributes with string values.
STRING - Static variable in class weka.core.json.Scanner
  lexical states
STRING - Static variable in interface weka.core.json.sym
STRING - Static variable in class weka.experiment.DatabaseUtils
  Type mapping for STRING used for reading experiment results.
STRING - Static variable in class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  lexical states
STRING - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
stringAttributesTipText() - Method in class weka.core.converters.CSVLoader
  Returns the tip text for this property.
stringFreeStructure() - Method in class weka.core.Instances
  Create a copy of the structure if the data has string or relational attributes, "cleanses" string types (i.e.
StringKernel - Class in weka.classifiers.functions.supportVector
  Implementation of the subsequence kernel (SSK) as described in [1] and of the subsequence kernel with lambda pruning (SSK-LP) as described in [2].
  For more information, see
  Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher J.
StringKernel() - Constructor for class weka.classifiers.functions.supportVector.StringKernel
  default constructor
StringKernel(Instances, int, int, double, boolean) - Constructor for class weka.classifiers.functions.supportVector.StringKernel
  creates a new StringKernel object.
StringLocator - Class in weka.core
  This class locates and records the indices of String attributes, recursively in case of Relational attributes.
StringLocator(Instances) - Constructor for class weka.core.StringLocator
  initializes the StringLocator with the given data
StringLocator(Instances, int, int) - Constructor for class weka.core.StringLocator
  Initializes the StringLocator with the given data.
StringLocator(Instances, int[]) - Constructor for class weka.core.StringLocator
  Initializes the AttributeLocator with the given data.
stringSize(FontMetrics) - Method in class weka.gui.treevisualizer.Edge
  This will calculate how large a rectangle using the FontMetrics passed that the lines of the label will take up
stringSize(FontMetrics) - Method in class weka.gui.treevisualizer.Node
  This will return the width and height of the rectangle that the text will fit into.
stringToLevel(String) - Static method in class weka.core.Debug.Log
  turns the string representing a level, e.g., "FINE" or "ALL" into the corresponding level (case-insensitive).
stringToLevel(String) - Static method in class weka.core.Debug
  turns the string representing a level, e.g., "FINE" or "ALL" into the corresponding level (case-insensitive).
StringToNominal - Class in weka.filters.unsupervised.attribute
  Converts a range of string attributes (unspecified number of values) to nominal (set number of values).
StringToNominal() - Constructor for class weka.filters.unsupervised.attribute.StringToNominal
StringToWordVector - Class in weka.filters.unsupervised.attribute
  Converts String attributes into a set of attributes representing word occurrence (depending on the tokenizer) information from the text contained in the strings.
StringToWordVector() - Constructor for class weka.filters.unsupervised.attribute.StringToWordVector
  Default constructor.
StringToWordVector(int) - Constructor for class weka.filters.unsupervised.attribute.StringToWordVector
  Constructor that allows specification of the target number of words in the output.
stringValue(int) - Method in class weka.core.AbstractInstance
  Returns the value of a nominal, string, date, or relational attribute for the instance as a string.
stringValue(Attribute) - Method in class weka.core.AbstractInstance
  Returns the value of a nominal, string, date, or relational attribute for the instance as a string.
stringValue(int) - Method in interface weka.core.Instance
  Returns the value of a nominal, string, date, or relational attribute for the instance as a string.
stringValue(Attribute) - Method in interface weka.core.Instance
  Returns the value of a nominal, string, date, or relational attribute for the instance as a string.
StripChart - Class in weka.gui.beans
  Bean that can display a horizontally scrolling strip chart.
StripChart() - Constructor for class weka.gui.beans.StripChart
StripChartBeanInfo - Class in weka.gui.beans
  Bean info class for the strip chart bean
StripChartBeanInfo() - Constructor for class weka.gui.beans.StripChartBeanInfo
StripChartCustomizer - Class in weka.gui.beans
  GUI Customizer for the strip chart bean
StripChartCustomizer() - Constructor for class weka.gui.beans.StripChartCustomizer
StructureProducer - Interface in weka.gui.beans
  Interface for something that can describe the structure of what is encapsulated in a named event type as an empty set of Instances (i.e.
STYLE_STDERR - Static variable in class weka.gui.LogWindow
  the name of the style for stderr
STYLE_STDOUT - Static variable in class weka.gui.LogWindow
  the name of the style for stdout
sub(int, Instance) - Method in class weka.classifiers.trees.j48.Distribution
  Subtracts given instance from given bag.
subFlowContains(BeanInstance) - Method in class weka.gui.beans.MetaBean
subList(int, int) - Method in class weka.core.neighboursearch.covertrees.Stack
  Returns a sublist of the elements in the stack.
subpath(int) - Method in class weka.core.PropertyPath.Path
  returns a subpath of the current structure, starting with the specified element index up to the end
subpath(int, int) - Method in class weka.core.PropertyPath.Path
  returns a subpath of the current structure, starting with the specified element index up.
subsequenceLengthTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the tip text for this property
SubsetByExpression - Class in weka.filters.unsupervised.instance
  * Filters instances according to a user-specified expression.
  *
  * Grammar:
  *
  * boolexpr_list ::= boolexpr_list boolexpr_part | boolexpr_part;
  *
  * boolexpr_part ::= boolexpr:e {: parser.setResult(e); :} ;
  *
  * boolexpr ::= BOOLEAN
  * | true
  * | false
  * | expr < expr
  * | expr <= expr
  * | expr > expr
  * | expr >= expr
  * | expr = expr
  * | ( boolexpr )
  * | not boolexpr
  * | boolexpr and boolexpr
  * | boolexpr or boolexpr
  * | ATTRIBUTE is STRING
  * | ATTRIBUTE regexp STRING
  * ;
  *
  * expr ::= NUMBER
  * | ATTRIBUTE
  * | ( expr )
  * | opexpr
  * | funcexpr
  * ;
  *
  * opexpr ::= expr + expr
  * | expr - expr
  * | expr * expr
  * | expr / expr
  * ;
  *
  * funcexpr ::= abs ( expr )
  * | sqrt ( expr )
  * | log ( expr )
  * | exp ( expr )
  * | sin ( expr )
  * | cos ( expr )
  * | tan ( expr )
  * | rint ( expr )
  * | floor ( expr )
  * | pow ( expr for base , expr for exponent )
  * | ceil ( expr )
  * ;
  *
  * Notes:
  * - NUMBER
  * any integer or floating point number
  * (but not in scientific notation!)
  * - STRING
  * any string surrounded by single quotes;
  * the string may not contain a single quote though.
  * - ATTRIBUTE
  * the following placeholders are recognized for
  * attribute values:
  * - CLASS for the class value in case a class attribute is set.
  * - ATTxyz with xyz a number from 1 to # of attributes in the
  * dataset, representing the value of indexed attribute.
  * - regexp
  * A regular expression for pattern matching, e.g., '^id.*$'
  *
  * Examples:
  * - extracting only mammals and birds from the 'zoo' UCI dataset:
  * (CLASS is 'mammal') or (CLASS is 'bird')
  * - extracting only animals with at least 2 legs from the 'zoo' UCI dataset:
  * (ATT14 >= 2)
  * - extracting only instances with non-missing 'wage-increase-second-year'
  * from the 'labor' UCI dataset:
  * not ismissing(ATT3)
  *

  * Valid options are:

  * *
SubsetByExpression() - Constructor for class weka.filters.unsupervised.instance.SubsetByExpression
subsetDL(double, double, double) - Static method in class weka.classifiers.rules.RuleStats
  Subset description length:
  S(t,k,p) = -k*log2(p)-(n-k)log2(1-p) Details see Quilan: "MDL and categorical theories (Continued)",ML95
SubsetEvaluator - Interface in weka.attributeSelection
  Interface for attribute subset evaluators.
SubspaceCluster - Class in weka.datagenerators.clusterers
  A data generator that produces data points in hyperrectangular subspace clusters.
SubspaceCluster() - Constructor for class weka.datagenerators.clusterers.SubspaceCluster
  initializes the generator, sets the number of clusters to 0, since user has to specify them explicitly
SubspaceClusterDefinition - Class in weka.datagenerators.clusterers
  A single cluster for the SubspaceCluster datagenerator

  Valid options are:

SubspaceClusterDefinition() - Constructor for class weka.datagenerators.clusterers.SubspaceClusterDefinition
  initializes the cluster, without a parent cluster (necessary for GOE)
SubspaceClusterDefinition(ClusterGenerator) - Constructor for class weka.datagenerators.clusterers.SubspaceClusterDefinition
  initializes the cluster with default values
subSpaceSizeTipText() - Method in class weka.classifiers.meta.RandomSubSpace
  Returns the tip text for this property
substitute(String) - Method in class weka.core.Environment
  Substitute a variable names for their values in the given string.
substract(AlgVector) - Method in class weka.core.AlgVector
  Returns the difference of this vector minus another.
SubstringLabeler - Class in weka.gui.beans
  A bean that finds matches in string attribute values (using either substring or regular expression matches) and labels the instance (sets the value of a new attribute) according to the supplied label for the matching rule.
SubstringLabeler() - Constructor for class weka.gui.beans.SubstringLabeler
  Constructor
SubstringLabelerBeanInfo - Class in weka.gui.beans
  Bean info class for the substring labeler bean
SubstringLabelerBeanInfo() - Constructor for class weka.gui.beans.SubstringLabelerBeanInfo
SubstringLabelerCustomizer - Class in weka.gui.beans
  Customizer class for the Substring labeler step
SubstringLabelerCustomizer() - Constructor for class weka.gui.beans.SubstringLabelerCustomizer
SubstringLabelerRules - Class in weka.gui.beans
  Manages a list of match rules for labeling strings.
SubstringLabelerRules(String, String, boolean, boolean, Instances, String, Logger, Environment) - Constructor for class weka.gui.beans.SubstringLabelerRules
  Constructor
SubstringLabelerRules(String, String, Instances) - Constructor for class weka.gui.beans.SubstringLabelerRules
  Constructor.
SubstringLabelerRules.SubstringLabelerMatchRule - Class in weka.gui.beans
  Inner class encapsulating the logic for matching
SubstringLabelerRules.SubstringLabelerMatchRule() - Constructor for class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Constructor
SubstringLabelerRules.SubstringLabelerMatchRule(String) - Constructor for class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Constructor
SubstringLabelerRules.SubstringLabelerMatchRule(String, boolean, boolean, String) - Constructor for class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Constructor
SubstringReplacer - Class in weka.gui.beans
  A bean that can replace substrings in the values of string attributes.
SubstringReplacer() - Constructor for class weka.gui.beans.SubstringReplacer
  Constructs a new SubstringReplacer
SubstringReplacerBeanInfo - Class in weka.gui.beans
  Bean info class for the substring replacer
SubstringReplacerBeanInfo() - Constructor for class weka.gui.beans.SubstringReplacerBeanInfo
SubstringReplacerCustomizer - Class in weka.gui.beans
  Customizer for the SubstringReplacer
SubstringReplacerCustomizer() - Constructor for class weka.gui.beans.SubstringReplacerCustomizer
  Constructor
SubstringReplacerRules - Class in weka.gui.beans
  Manages a list of match and replace rules for replacing values in string attributes
SubstringReplacerRules(String, Instances, String, Logger, Environment) - Constructor for class weka.gui.beans.SubstringReplacerRules
  Constructor
SubstringReplacerRules(String, Instances) - Constructor for class weka.gui.beans.SubstringReplacerRules
  Constructor.
SubstringReplacerRules.SubstringReplacerMatchRule - Class in weka.gui.beans
  Inner class encapsulating the logic for matching and replacing.
SubstringReplacerRules.SubstringReplacerMatchRule() - Constructor for class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Constructor
SubstringReplacerRules.SubstringReplacerMatchRule(String) - Constructor for class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Constructor
SubstringReplacerRules.SubstringReplacerMatchRule(String, String, boolean, boolean, String) - Constructor for class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Constructor
subtract(AprioriItemSet) - Method in class weka.associations.AprioriItemSet
  Subtracts an item set from another one.
subtract(Distribution) - Method in class weka.classifiers.trees.j48.Distribution
  Subtracts the given distribution from this one.
subtract(double[]) - Method in class weka.core.pmml.VectorInstance
  Subtract the values in the supplied array from this vector instance
subtract(VectorInstance) - Method in class weka.core.pmml.VectorInstance
  Subtract the supplied VectorInstance from this one and return the result as a new VectorInstance
subtract(double, double) - Method in class weka.experiment.PairedStats
  Removes an observed pair of values.
subtract(double[], double[]) - Method in class weka.experiment.PairedStats
  Removes an array of observed pair of values.
subtract(double) - Method in class weka.experiment.Stats
  Removes a value to the observed values (no checking is done that the value being removed was actually added).
subtract(double, double) - Method in class weka.experiment.Stats
  Subtracts a value that has been seen n times from the observed values
subtreeRaisingTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
subvector(int, int) - Method in class weka.core.matrix.DoubleVector
  Returns a subvector.
subvector(IntVector) - Method in class weka.core.matrix.DoubleVector
  Returns a subvector.
subvector(int, int) - Method in class weka.core.matrix.IntVector
  Returns a subvector.
subvector(IntVector) - Method in class weka.core.matrix.IntVector
  Returns a subvector as indexed by an IntVector.
sum(Map<String, WeightMass>) - Static method in class weka.classifiers.trees.ht.SplitMetric
  Utility method to return the sum of instance weight in a distribution
sum() - Method in class weka.core.matrix.DoubleVector
  Returns the sum of all elements in the vector.
sum(double[]) - Static method in class weka.core.Utils
  Computes the sum of the elements of an array of doubles.
sum(int[]) - Static method in class weka.core.Utils
  Computes the sum of the elements of an array of integers.
sum - Variable in class weka.experiment.Stats
  The sum of values seen
sum2() - Method in class weka.core.matrix.DoubleVector
  Returns the squared sum of all elements in the vector.
sum2(DoubleVector) - Method in class weka.core.matrix.DoubleVector
  Returns ||u-v||^2
Summarizable - Interface in weka.core
  Interface to something that provides a short textual summary (as opposed to toString() which is usually a fairly complete description) of itself.
sumOfWeights() - Method in class weka.core.Instances
  Computes the sum of all the instances' weights.
sumSq - Variable in class weka.experiment.Stats
  The sum of values squared seen
SupervisedFilter - Interface in weka.filters
  Interface for filters that make use of a class attribute.
support() - Method in class weka.associations.ItemSet
  Outputs the support for an item set.
support() - Method in class weka.associations.LabeledItemSet
  Outputs the support for an item set.
supports(Capabilities) - Method in class weka.core.Capabilities
  Returns true if the currently set capabilities support at least all of the capabiliites of the given Capabilities object (checks only the enum!)
supportsCustomEditor() - Method in class weka.gui.beans.EnvironmentField
supportsCustomEditor() - Method in class weka.gui.CostMatrixEditor
  Indicates whether the cost matrix can be edited in a GUI, which it can.
supportsCustomEditor() - Method in class weka.gui.FileEditor
  Returns true because we do support a custom editor.
supportsCustomEditor() - Method in class weka.gui.GenericArrayEditor
  Returns true because we do support a custom editor.
supportsCustomEditor() - Method in class weka.gui.GenericObjectEditor
  Returns true because we do support a custom editor.
supportsCustomEditor() - Method in class weka.gui.SimpleDateFormatEditor
  Indicates whether the date format can be edited in a GUI, which it can.
supportsMaybe(Capabilities) - Method in class weka.core.Capabilities
  Returns true if the currently set capabilities support (or have a dependency) at least all of the capabilities of the given Capabilities object (checks only the enum!)
SupportVector - Class in weka.core.pmml.jaxbbindings
  Java class for SupportVector element declaration.
SupportVector() - Constructor for class weka.core.pmml.jaxbbindings.SupportVector
SupportVectorMachine - Class in weka.core.pmml.jaxbbindings
  Java class for SupportVectorMachine element declaration.
SupportVectorMachine() - Constructor for class weka.core.pmml.jaxbbindings.SupportVectorMachine
SupportVectorMachineModel - Class in weka.classifiers.pmml.consumer
  Implements a PMML SupportVectorMachineModel
SupportVectorMachineModel(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.SupportVectorMachineModel
  Construct a new SupportVectorMachineModel encapsulating the information provided in the PMML document.
SupportVectorMachineModel - Class in weka.core.pmml.jaxbbindings
  Java class for SupportVectorMachineModel element declaration.
SupportVectorMachineModel() - Constructor for class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
SupportVectors - Class in weka.core.pmml.jaxbbindings
  Java class for SupportVectors element declaration.
SupportVectors() - Constructor for class weka.core.pmml.jaxbbindings.SupportVectors
SUPPRESS_PROPERTY_WARNINGS - Static variable in class weka.core.xml.XMLSerialization
  List of fully qualified property names to suppress any warning messages for
suppressMappingReportTipText() - Method in class weka.classifiers.misc.InputMappedClassifier
  Returns the tip text for this property
suppressOutputTipText() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
  Returns the tip text for this property.
svd() - Method in class weka.core.matrix.Matrix
  Singular Value Decomposition
SVMCLASSIFICATIONMETHOD - Enum in weka.core.pmml.jaxbbindings
  Java class for SVM-CLASSIFICATION-METHOD.
SVMLightLoader - Class in weka.core.converters
  Reads a source that is in svm light format.
  For more information about svm light see:
  http://svmlight.joachims.org/

SVMLightLoader() - Constructor for class weka.core.converters.SVMLightLoader
SVMLightSaver - Class in weka.core.converters
  Writes to a destination that is in svm light format.
  For more information about svm light see:
  http://svmlight.joachims.org/

  Valid options are:

SVMLightSaver() - Constructor for class weka.core.converters.SVMLightSaver
  Constructor.
SVMOutput(int, Instance) - Method in class weka.classifiers.functions.SMO.BinarySMO
  Computes SVM output for given instance.
SVMOutput(Instance) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
SVMREPRESENTATION - Enum in weka.core.pmml.jaxbbindings
  Java class for SVM-REPRESENTATION.
swap(int, int) - Method in class weka.core.FastVector
  Deprecated.
  Swaps two elements in the vector.
swap(int, int) - Method in class weka.core.Instances
  Swaps two instances in the set.
swap(int, int) - Method in class weka.core.matrix.DoubleVector
  Swaps the values stored at i and j
swap(int, int) - Method in class weka.core.matrix.IntVector
  Swaps the values stored at i and j
SwapValues - Class in weka.filters.unsupervised.attribute
  Swaps two values of a nominal attribute.
SwapValues() - Constructor for class weka.filters.unsupervised.attribute.SwapValues
switchSetup() - Method in class weka.gui.sql.ConnectionPanel
  Lets the user select a props file for changing the database connection parameters.
switchToAdvanced(Experiment) - Method in class weka.gui.experiment.SetupModePanel
  Switches to the advanced setup mode.
switchToSimple(Experiment) - Method in class weka.gui.experiment.SetupModePanel
  Switches to the simple setup mode only if allowed to.
sym - Interface in weka.core.json
  CUP generated interface containing symbol constants.
sym - Interface in weka.core.mathematicalexpression
  CUP generated interface containing symbol constants.
sym - Interface in weka.filters.unsupervised.instance.subsetbyexpression
  CUP generated interface containing symbol constants.
symmetricalUncertainty(double[][]) - Static method in class weka.core.ContingencyTables
  Calculates the symmetrical uncertainty for base 2.
SymmetricalUncertAttributeEval - Class in weka.attributeSelection
  SymmetricalUncertAttributeEval :
  Evaluates the worth of an attribute by measuring the symmetrical uncertainty with respect to the class.
SymmetricalUncertAttributeEval() - Constructor for class weka.attributeSelection.SymmetricalUncertAttributeEval
  Constructor
Sync(BayesNet) - Method in class weka.classifiers.bayes.net.BIFReader
  synchronizes the node ordering of this Bayes network with those in the other network (if possible).
synopsis() - Method in class weka.core.Option
  Returns the option's synopsis.
SyntaxDocument - Class in weka.gui.scripting
  Highlights syntax in a DefaultStyledDocument.
SyntaxDocument(Properties) - Constructor for class weka.gui.scripting.SyntaxDocument
  Initializes the document.
SyntaxDocument.ATTR_TYPE - Enum in weka.gui.scripting
  The attribute type.
SysErrLog - Class in weka.gui
  This Logger just sends messages to System.err.
SysErrLog() - Constructor for class weka.gui.SysErrLog
SystemInfo - Class in weka.core
  This class prints some information about the system setup, like Java version, JVM settings etc.
SystemInfo() - Constructor for class weka.core.SystemInfo
  initializes the object and reads the system information

## T

t1TipText() - Method in class weka.clusterers.Canopy
  Tip text for this property
t2TipText() - Method in class weka.clusterers.Canopy
  Tip text for this property
TAB_INSTANCES - Static variable in class weka.gui.arffviewer.ArffPanel
  the name of the tab for instances that were set directly
tableChanged(TableModelEvent) - Method in class weka.gui.arffviewer.ArffTable
  This fine grain notification tells listeners the exact range of cells, rows, or columns that changed.
tableChanged(TableModelEvent) - Method in class weka.gui.beans.InteractiveTablePanel.InteractiveTableModelListener
tableChanged(TableModelEvent) - Method in class weka.gui.SortedTableModel
  This fine grain notification tells listeners the exact range of cells, rows, or columns that changed.
tableExists(String) - Method in class weka.experiment.DatabaseUtils
  Checks that a given table exists.
TableLocator - Class in weka.core.pmml.jaxbbindings
  Java class for TableLocator element declaration.
TableLocator() - Constructor for class weka.core.pmml.jaxbbindings.TableLocator
tableNameTipText() - Method in class weka.core.converters.DatabaseSaver
  Returns the tip text for this property.
tabuListTipText() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
tabuListTipText() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
TabuSearch - Class in weka.classifiers.bayes.net.search.global
  This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.
TabuSearch() - Constructor for class weka.classifiers.bayes.net.search.global.TabuSearch
TabuSearch - Class in weka.classifiers.bayes.net.search.local
  This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.
TabuSearch() - Constructor for class weka.classifiers.bayes.net.search.local.TabuSearch
Tag - Class in weka.core
  A `Tag` simply associates a numeric ID with a String description.
Tag() - Constructor for class weka.core.Tag
  Creates a new default Tag
Tag(int, String) - Constructor for class weka.core.Tag
  Creates a new `Tag` instance.
Tag(int, String, String) - Constructor for class weka.core.Tag
  Creates a new `Tag` instance.
Tag(int, String, String, boolean) - Constructor for class weka.core.Tag
TAG_ACTUAL_LABEL - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the actual_nominal tag.
TAG_ACTUAL_VALUE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the actual_numeric tag.
TAG_ATTRIBUTE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the attribute tag.
TAG_ATTRIBUTE - Static variable in class weka.core.xml.XMLInstances
  the attribute element
TAG_ATTRIBUTES - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the attributes tag.
TAG_ATTRIBUTES - Static variable in class weka.core.xml.XMLInstances
  the attributes element
TAG_BODY - Static variable in class weka.core.xml.XMLInstances
  the body element
TAG_CLASS_LABEL - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the class_label tag.
TAG_DATASET - Static variable in class weka.core.xml.XMLInstances
  the root element
TAG_DISTRIBUTION - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the distribution tag.
TAG_ERROR - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the error tag.
TAG_HEADER - Static variable in class weka.core.xml.XMLInstances
  the header element
TAG_INSTANCE - Static variable in class weka.core.xml.XMLInstances
  the instance element
TAG_INSTANCES - Static variable in class weka.core.xml.XMLInstances
  the data element
TAG_LABEL - Static variable in class weka.core.xml.XMLInstances
  the label element
TAG_LABELS - Static variable in class weka.core.xml.XMLInstances
  the labels element
TAG_METADATA - Static variable in class weka.core.xml.XMLInstances
  the meta-data element
TAG_NOTES - Static variable in class weka.core.xml.XMLInstances
  the notes element
TAG_OBJECT - Static variable in class weka.core.xml.XMLSerialization
  the tag for an object
TAG_OPTION - Static variable in class weka.core.xml.XMLOptions
  tag for a single option.
TAG_OPTIONS - Static variable in class weka.core.xml.XMLOptions
  tag for a list of options.
TAG_PREDICTED_LABEL - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the predicted_nominal tag.
TAG_PREDICTED_VALUE - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the predicted_numeric tag.
TAG_PREDICTION - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the prediction tag.
TAG_PREDICTIONS - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the predictions tag.
TAG_PROPERTY - Static variable in class weka.core.xml.XMLInstances
  the property element
TAG_VALUE - Static variable in class weka.core.xml.XMLInstances
  the value element
TAGS_ATTRIBUTETYPE - Static variable in class weka.filters.unsupervised.attribute.RemoveType
  Tag allowing selection of attribute type to delete
TAGS_CLUSTERSUBTYPE - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
  the tags for the cluster types
TAGS_CLUSTERTYPE - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
  the tags for the cluster types
TAGS_CV_TYPE - Static variable in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
  the score types
TAGS_DSTRS_TYPE - Static variable in class weka.filters.unsupervised.attribute.RandomProjection
  The types of distributions that can be used for calculating the random matrix
TAGS_EVAL - Static variable in class weka.classifiers.meta.IterativeClassifierOptimizer
TAGS_EVALUATION - Static variable in class weka.attributeSelection.WrapperSubsetEval
TAGS_EVALUATION - Static variable in class weka.classifiers.rules.DecisionTable
TAGS_FILTER - Static variable in class weka.classifiers.functions.GaussianProcesses
  The filter to apply to the training data
TAGS_FILTER - Static variable in class weka.classifiers.functions.SMO
  The filter to apply to the training data
TAGS_FILTER - Static variable in class weka.classifiers.functions.SMOreg
  The filter to apply to the training data
TAGS_FILTER - Static variable in class weka.filters.unsupervised.attribute.StringToWordVector
  Specifies whether document's (instance's) word frequencies are to be normalized.
TAGS_FORMAT - Static variable in class weka.core.Debug.Clock
  the output formats
TAGS_GUI - Static variable in class weka.gui.Main
  GUI tags.
TAGS_INPUTORDER - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
  the input order tags
TAGS_LINK_TYPE - Static variable in class weka.clusterers.HierarchicalClusterer
TAGS_MATRIX_SOURCE - Static variable in class weka.classifiers.meta.CostSensitiveClassifier
  Specify possible sources of the cost matrix
TAGS_METHOD - Static variable in class weka.classifiers.meta.MultiClassClassifier
  The error correction modes
TAGS_MISSING - Static variable in class weka.classifiers.lazy.KStar
  Define possible missing value handling methods
TAGS_PATTERN - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
  the pattern tags
TAGS_PRUNING - Static variable in class weka.classifiers.functions.supportVector.StringKernel
  Pruning methods
TAGS_RULES - Static variable in class weka.classifiers.meta.Vote
  combination rules
TAGS_SCORE_TYPE - Static variable in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
  the score types
TAGS_SELECTION - Static variable in class weka.associations.Apriori
  Metric types.
TAGS_SELECTION - Static variable in class weka.associations.DefaultAssociationRule
  Tags for display in the GUI
TAGS_SELECTION - Static variable in class weka.attributeSelection.BestFirst
  search directions
TAGS_SELECTION - Static variable in class weka.classifiers.functions.LinearRegression
  Attribute selection methods
TAGS_SELECTION - Static variable in class weka.classifiers.functions.SGD
  Loss functions to choose from
TAGS_SELECTION - Static variable in class weka.classifiers.functions.SGDText
  Loss functions to choose from
TAGS_SELECTION - Static variable in class weka.classifiers.trees.HoeffdingTree
TAGS_SELECTION - Static variable in class weka.clusterers.SimpleKMeans
  Initialization methods
TAGS_SELECTION2 - Static variable in class weka.classifiers.trees.HoeffdingTree
TAGS_SORTTYPE - Static variable in class weka.filters.unsupervised.attribute.SortLabels
  Tag allowing selection of sort type.
TAGS_TYPE - Static variable in class weka.filters.unsupervised.attribute.Add
  the attribute type.
TAGS_WEIGHTING - Static variable in class weka.classifiers.lazy.IBk
  possible instance weighting methods.
TAN - Class in weka.classifiers.bayes.net.search.global
  This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented with a tree.
  For more information see:
  N.
TAN() - Constructor for class weka.classifiers.bayes.net.search.global.TAN
TAN - Class in weka.classifiers.bayes.net.search.local
  This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented with a tree.
  For more information see:
  N.
TAN() - Constructor for class weka.classifiers.bayes.net.search.local.TAN
TAN - Static variable in interface weka.core.mathematicalexpression.sym
TAN - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
Tanimoto - Class in weka.core.pmml.jaxbbindings
  Java class for tanimoto element declaration.
Tanimoto() - Constructor for class weka.core.pmml.jaxbbindings.Tanimoto
Target - Class in weka.core.pmml.jaxbbindings
  Java class for Target element declaration.
Target() - Constructor for class weka.core.pmml.jaxbbindings.Target
TargetMetaInfo - Class in weka.core.pmml
  Class to encapsulate information about a Target.
Targets - Class in weka.core.pmml.jaxbbindings
  Java class for Targets element declaration.
Targets() - Constructor for class weka.core.pmml.jaxbbindings.Targets
TargetValue - Class in weka.core.pmml.jaxbbindings
  Java class for TargetValue element declaration.
TargetValue() - Constructor for class weka.core.pmml.jaxbbindings.TargetValue
TargetValueCount - Class in weka.core.pmml.jaxbbindings
  Java class for TargetValueCount element declaration.
TargetValueCount() - Constructor for class weka.core.pmml.jaxbbindings.TargetValueCount
TargetValueCounts - Class in weka.core.pmml.jaxbbindings
  Java class for TargetValueCounts element declaration.
TargetValueCounts() - Constructor for class weka.core.pmml.jaxbbindings.TargetValueCounts
Task - Interface in weka.experiment
  Interface to something that can be remotely executed as a task.
taskFinished() - Method in class weka.gui.LogPanel
  Record a task ending
taskFinished() - Method in interface weka.gui.TaskLogger
  Tells the task logger that a task has completed
taskFinished() - Method in class weka.gui.WekaTaskMonitor
  Tells the panel that a task has completed
TaskLogger - Interface in weka.gui
  Interface for objects that display log and display information on running tasks.
taskStarted() - Method in class weka.gui.LogPanel
  Record the starting of a new task
taskStarted() - Method in interface weka.gui.TaskLogger
  Tells the task logger that a new task has been started
taskStarted() - Method in class weka.gui.WekaTaskMonitor
  Tells the panel that a new task has been started
TaskStatusInfo - Class in weka.experiment
  A class holding information for tasks being executed on RemoteEngines.
TaskStatusInfo() - Constructor for class weka.experiment.TaskStatusInfo
tauVal(double[][]) - Static method in class weka.core.ContingencyTables
  Computes Goodman and Kruskal's tau-value for a contingency table.
Taxonomy - Class in weka.core.pmml.jaxbbindings
  Java class for Taxonomy element declaration.
Taxonomy() - Constructor for class weka.core.pmml.jaxbbindings.Taxonomy
TechnicalInformation - Class in weka.core
  Used for paper references in the Javadoc and for BibTex generation.
TechnicalInformation(TechnicalInformation.Type) - Constructor for class weka.core.TechnicalInformation
  Initializes the information with the given type
TechnicalInformation(TechnicalInformation.Type, String) - Constructor for class weka.core.TechnicalInformation
  Initializes the information with the given type
TechnicalInformation.Field - Enum in weka.core
  the possible fields
TechnicalInformation.Type - Enum in weka.core
  the different types of information
TechnicalInformationHandler - Interface in weka.core
  For classes that are based on some kind of publications.
TechnicalInformationHandlerJavadoc - Class in weka.core
  Generates Javadoc comments from the TechnicalInformationHandler's data.
TechnicalInformationHandlerJavadoc() - Constructor for class weka.core.TechnicalInformationHandlerJavadoc
  default constructor
Tee - Class in weka.core
  This class pipelines print/println's to several PrintStreams.
Tee() - Constructor for class weka.core.Tee
  initializes the object, with a default printstream.
Tee(PrintStream) - Constructor for class weka.core.Tee
  initializes the object with the given default printstream, e.g., System.out.
test(Attribute) - Method in class weka.core.Capabilities
  Test the given attribute, whether it can be processed by the handler, given its capabilities.
test(Attribute, boolean) - Method in class weka.core.Capabilities
  Test the given attribute, whether it can be processed by the handler, given its capabilities.
test(Instances) - Method in class weka.core.Capabilities
  Tests the given data, whether it can be processed by the handler, given its capabilities.
test(Instances, int, int) - Method in class weka.core.Capabilities
  Tests a certain range of attributes of the given data, whether it can be processed by the handler, given its capabilities.
test(String[]) - Static method in class weka.core.Instances
  Method for testing this class.
Test - Class in weka.datagenerators
  Class to represent a test.
Test(int, double, Instances) - Constructor for class weka.datagenerators.Test
  Constructor
Test(int, double, Instances, boolean) - Constructor for class weka.datagenerators.Test
  Constructor
TEST - Static variable in class weka.gui.beans.BatchClustererEvent
testAggregation() - Static method in class weka.estimators.KernelEstimator
testAggregation() - Static method in class weka.estimators.NormalEstimator
testCapabilities(Instances, int) - Method in class weka.estimators.Estimator
  Test if the estimator can handle the data.
testCV(int, int) - Method in class weka.core.Instances
  Creates the test set for one fold of a cross-validation on the dataset.
TestDistributions - Class in weka.core.pmml.jaxbbindings
  Java class for TestDistributions element declaration.
TestDistributions() - Constructor for class weka.core.pmml.jaxbbindings.TestDistributions
Tester - Interface in weka.experiment
  Interface for different kinds of Testers in the Experimenter.
TestInstances - Class in weka.core
  Generates artificial datasets for testing.
TestInstances() - Constructor for class weka.core.TestInstances
  the default constructor
testsetDirTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the tip text for this property.
TestSetEvent - Class in weka.gui.beans
  Event encapsulating a test set
TestSetEvent(Object, Instances) - Constructor for class weka.gui.beans.TestSetEvent
  Creates a new `TestSetEvent`
TestSetEvent(Object, Instances, int, int) - Constructor for class weka.gui.beans.TestSetEvent
  Creates a new `TestSetEvent`
TestSetEvent(Object, Instances, int, int, int, int) - Constructor for class weka.gui.beans.TestSetEvent
  Creates a new `TestSetEvent`
TestSetListener - Interface in weka.gui.beans
  Interface to something that can accpet test set events
TestSetMaker - Class in weka.gui.beans
  Bean that accepts data sets and produces test sets
TestSetMaker() - Constructor for class weka.gui.beans.TestSetMaker
TestSetMakerBeanInfo - Class in weka.gui.beans
  Bean info class for the test set maker bean.
TestSetMakerBeanInfo() - Constructor for class weka.gui.beans.TestSetMakerBeanInfo
testsetPrefixTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the tip text for this property.
TestSetProducer - Interface in weka.gui.beans
  Interface to something that can produce test sets
testsetSuffixTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Returns the tip text for this property.
testWithFail(Attribute) - Method in class weka.core.Capabilities
  tests the given attribute by calling the test(Attribute,boolean) method and throws an exception if the test fails.
testWithFail(Attribute, boolean) - Method in class weka.core.Capabilities
  tests the given attribute by calling the test(Attribute,boolean) method and throws an exception if the test fails.
testWithFail(Instances, int, int) - Method in class weka.core.Capabilities
  tests the given data by calling the test(Instances,int,int) method and throws an exception if the test fails.
testWithFail(Instances) - Method in class weka.core.Capabilities
  tests the given data by calling the test(Instances) method and throws an exception if the test fails.
TEXT - Static variable in class weka.experiment.DatabaseUtils
  Type mapping for TEXT used for reading, e.g., text blobs.
TextCorpus - Class in weka.core.pmml.jaxbbindings
  Java class for TextCorpus element declaration.
TextCorpus() - Constructor for class weka.core.pmml.jaxbbindings.TextCorpus
TextDictionary - Class in weka.core.pmml.jaxbbindings
  Java class for TextDictionary element declaration.
TextDictionary() - Constructor for class weka.core.pmml.jaxbbindings.TextDictionary
TextDirectoryLoader - Class in weka.core.converters
  Loads all text files in a directory and uses the subdirectory names as class labels.
TextDirectoryLoader() - Constructor for class weka.core.converters.TextDirectoryLoader
  default constructor
TextDocument - Class in weka.core.pmml.jaxbbindings
  Java class for TextDocument element declaration.
TextDocument() - Constructor for class weka.core.pmml.jaxbbindings.TextDocument
TextEvent - Class in weka.gui.beans
  Event that encapsulates some textual information
TextEvent(Object, String, String) - Constructor for class weka.gui.beans.TextEvent
  Creates a new `TextEvent` instance.
TextListener - Interface in weka.gui.beans
  Interface to something that can process a TextEvent
TextModel - Class in weka.core.pmml.jaxbbindings
  Java class for TextModel element declaration.
TextModel() - Constructor for class weka.core.pmml.jaxbbindings.TextModel
TextModelNormalization - Class in weka.core.pmml.jaxbbindings
  Java class for TextModelNormalization element declaration.
TextModelNormalization() - Constructor for class weka.core.pmml.jaxbbindings.TextModelNormalization
TextModelSimiliarity - Class in weka.core.pmml.jaxbbindings
  Java class for TextModelSimiliarity element declaration.
TextModelSimiliarity() - Constructor for class weka.core.pmml.jaxbbindings.TextModelSimiliarity
TextSaver - Class in weka.gui.beans
  Simple component to save the text carried in text events out to a file
TextSaver() - Constructor for class weka.gui.beans.TextSaver
  Default constructors a new TextSaver
TextSaverBeanInfo - Class in weka.gui.beans
  Bean info class for the serialized model saver bean
TextSaverBeanInfo() - Constructor for class weka.gui.beans.TextSaverBeanInfo
TextSaverCustomizer - Class in weka.gui.beans
  Customizer for the TextSaver component.
TextSaverCustomizer() - Constructor for class weka.gui.beans.TextSaverCustomizer
  Default Constructor
TextViewer - Class in weka.gui.beans
  Bean that collects and displays pieces of text
TextViewer() - Constructor for class weka.gui.beans.TextViewer
TextViewerBeanInfo - Class in weka.gui.beans
  Bean info class for the text viewer
TextViewerBeanInfo() - Constructor for class weka.gui.beans.TextViewerBeanInfo
TFTransformTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
theoryDL(int) - Method in class weka.classifiers.rules.RuleStats
  The description length of the theory for a given rule.
ThreadSafe - Interface in weka.core
  Interface to something that is thread safe
THRESHOLD_NAME - Static variable in class weka.classifiers.evaluation.CostCurve
  attribute name: Threshold
THRESHOLD_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: Threshold
ThresholdCurve - Class in weka.classifiers.evaluation
  Generates points illustrating prediction tradeoffs that can be obtained by varying the threshold value between classes.
ThresholdCurve() - Constructor for class weka.classifiers.evaluation.ThresholdCurve
ThresholdDataEvent - Class in weka.gui.beans
  Event encapsulating classifier performance data based on varying a threshold over the classifier's predicted probabilities
ThresholdDataEvent(Object, PlotData2D) - Constructor for class weka.gui.beans.ThresholdDataEvent
ThresholdDataEvent(Object, PlotData2D, Attribute) - Constructor for class weka.gui.beans.ThresholdDataEvent
ThresholdDataListener - Interface in weka.gui.beans
  Interface to something that can accept ThresholdDataEvents
ThresholdProducingMetric - Interface in weka.classifiers.evaluation
  Some evaluation measures may optimize thresholds on the class probabilities.
thresholdTipText() - Method in class weka.attributeSelection.GreedyStepwise
  Returns the tip text for this property
thresholdTipText() - Method in class weka.attributeSelection.Ranker
  Returns the tip text for this property
thresholdTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
  Returns the tip text for this property
thresholdTipText() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
  Returns the tip text for this property
ThresholdVisualizePanel - Class in weka.gui.visualize
  This panel is a VisualizePanel, with the added ablility to display the area under the ROC curve if an ROC curve is chosen.
ThresholdVisualizePanel() - Constructor for class weka.gui.visualize.ThresholdVisualizePanel
  default constructor
TIE_STRING - Variable in class weka.experiment.ResultMatrix
  tie string.
Time - Class in weka.core.pmml.jaxbbindings
  Java class for Time element declaration.
Time() - Constructor for class weka.core.pmml.jaxbbindings.Time
TIME - Static variable in class weka.experiment.DatabaseUtils
  Type mapping for TIME used for reading TIME columns.
TimeAnchor - Class in weka.core.pmml.jaxbbindings
  Java class for TimeAnchor element declaration.
TimeAnchor() - Constructor for class weka.core.pmml.jaxbbindings.TimeAnchor
TIMEANCHOR2 - Enum in weka.core.pmml.jaxbbindings
  Java class for TIME-ANCHOR.
TimeCycle - Class in weka.core.pmml.jaxbbindings
  Java class for TimeCycle element declaration.
TimeCycle() - Constructor for class weka.core.pmml.jaxbbindings.TimeCycle
TimeException - Class in weka.core.pmml.jaxbbindings
  Java class for TimeException element declaration.
TimeException() - Constructor for class weka.core.pmml.jaxbbindings.TimeException
TIMEEXCEPTIONTYPE - Enum in weka.core.pmml.jaxbbindings
  Java class for TIME-EXCEPTION-TYPE.
TIMES - Static variable in interface weka.core.mathematicalexpression.sym
times(double) - Method in class weka.core.matrix.DoubleVector
  Multiplies a scalar
times(DoubleVector) - Method in class weka.core.matrix.DoubleVector
  Multiplies another DoubleVector element by element
times(double) - Method in class weka.core.matrix.Matrix
  Multiply a matrix by a scalar, C = s*A
times(Matrix) - Method in class weka.core.matrix.Matrix
  Linear algebraic matrix multiplication, A * B
TIMES - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
timesEquals(double) - Method in class weka.core.matrix.DoubleVector
  Multiply a vector by a scalar in place, u = s * u
timesEquals(DoubleVector) - Method in class weka.core.matrix.DoubleVector
  Multiplies another DoubleVector element by element in place
timesEquals(double) - Method in class weka.core.matrix.Matrix
  Multiply a matrix by a scalar in place, A = s*A
TimeSeries - Class in weka.core.pmml.jaxbbindings
  Java class for TimeSeries element declaration.
TimeSeries() - Constructor for class weka.core.pmml.jaxbbindings.TimeSeries
TIMESERIESALGORITHM - Enum in weka.core.pmml.jaxbbindings
  Java class for TIMESERIES-ALGORITHM.
TimeSeriesDelta - Class in weka.filters.unsupervised.attribute
  An instance filter that assumes instances form time-series data and replaces attribute values in the current instance with the difference between the current value and the equivalent attribute attribute value of some previous (or future) instance.
TimeSeriesDelta() - Constructor for class weka.filters.unsupervised.attribute.TimeSeriesDelta
TimeSeriesModel - Class in weka.core.pmml.jaxbbindings
  Java class for TimeSeriesModel element declaration.
TimeSeriesModel() - Constructor for class weka.core.pmml.jaxbbindings.TimeSeriesModel
TimeSeriesTranslate - Class in weka.filters.unsupervised.attribute
  An instance filter that assumes instances form time-series data and replaces attribute values in the current instance with the equivalent attribute values of some previous (or future) instance.
TimeSeriesTranslate() - Constructor for class weka.filters.unsupervised.attribute.TimeSeriesTranslate
TIMESERIESUSAGE - Enum in weka.core.pmml.jaxbbindings
  Java class for TIMESERIES-USAGE.
Timestamp - Class in weka.core.pmml.jaxbbindings
  Java class for Timestamp element declaration.
Timestamp() - Constructor for class weka.core.pmml.jaxbbindings.Timestamp
TIMESTAMP_FIELD_NAME - Static variable in class weka.experiment.CrossValidationResultProducer
  The name of the result field containing the timestamp
TIMESTAMP_FIELD_NAME - Static variable in class weka.experiment.ExplicitTestsetResultProducer
  The name of the result field containing the timestamp.
TIMESTAMP_FIELD_NAME - Static variable in class weka.experiment.RandomSplitResultProducer
  The name of the result field containing the timestamp
TimeValue - Class in weka.core.pmml.jaxbbindings
  Java class for TimeValue element declaration.
TimeValue() - Constructor for class weka.core.pmml.jaxbbindings.TimeValue
titleUpdated(TitleUpdatedEvent) - Method in interface weka.gui.scripting.event.TitleUpdatedListener
  Gets called when the title of the frame/dialog needs updating.
titleUpdated(TitleUpdatedEvent) - Method in class weka.gui.scripting.ScriptingPanel
  Gets called when the title of the frame/dialog needs updating.
TitleUpdatedEvent - Class in weka.gui.scripting.event
  Event that gets send in case a scripting panel updates the title.
TitleUpdatedEvent(ScriptingPanel) - Constructor for class weka.gui.scripting.event.TitleUpdatedEvent
  Initializes the event.
TitleUpdatedListener - Interface in weka.gui.scripting.event
  Interface for frames/dialogs that listen to changes of the title.
TO_BE_RUN - Static variable in class weka.experiment.TaskStatusInfo
toArray() - Method in class weka.core.Trie
  Returns an array containing all of the elements in this collection.
toArray(T[]) - Method in class weka.core.Trie
  Returns an array containing all of the elements in this collection; the runtime type of the returned array is that of the specified array.
toArray() - Method in class weka.core.xml.XMLOptions
  returns the current DOM document as string array.
toArray() - Method in class weka.gui.CheckBoxList.CheckBoxListModel
  Returns an array containing all of the elements in this list in the correct order.
toBibTex() - Method in class weka.core.TechnicalInformation
  Returns a BibTex string representing this technical information.
toClassDetailsString() - Method in class weka.classifiers.evaluation.Evaluation
  Generates a breakdown of the accuracy for each class (with default title), incorporating various information-retrieval statistics, such as true/false positive rate, precision/recall/F-Measure.
toClassDetailsString(String) - Method in class weka.classifiers.evaluation.Evaluation
  Generates a breakdown of the accuracy for each class, incorporating various information-retrieval statistics, such as true/false positive rate, precision/recall/F-Measure.
toClassDetailsString() - Method in class weka.classifiers.Evaluation
  Generates a breakdown of the accuracy for each class (with default title), incorporating various information-retrieval statistics, such as true/false positive rate, precision/recall/F-Measure.
toClassDetailsString(String) - Method in class weka.classifiers.Evaluation
  Generates a breakdown of the accuracy for each class, incorporating various information-retrieval statistics, such as true/false positive rate, precision/recall/F-Measure.
toCommandLine(Object) - Static method in class weka.core.Utils
  Generates a commandline of the given object.
toCommandLine() - Method in class weka.core.xml.XMLOptions
  returns the given DOM document as command line.
toCumulativeMarginDistributionString() - Method in class weka.classifiers.evaluation.Evaluation
  Output the cumulative margin distribution as a string suitable for input for gnuplot or similar package.
toCumulativeMarginDistributionString() - Method in class weka.classifiers.Evaluation
  Output the cumulative margin distribution as a string suitable for input for gnuplot or similar package.
toDisplay() - Method in interface weka.core.CustomDisplayStringProvider
  Returns the custom display string.
toDisplay() - Method in class weka.core.Range
  Returns the custom display string.
toDisplay() - Method in class weka.core.SingleIndex
  Returns the custom display string.
toDoubleArray() - Method in class weka.core.BinarySparseInstance
  Returns the values of each attribute as an array of doubles.
toDoubleArray() - Method in class weka.core.DenseInstance
  Returns the values of each attribute as an array of doubles.
toDoubleArray() - Method in interface weka.core.Instance
  Returns the values of each attribute as an array of doubles.
toDoubleArray() - Method in class weka.core.SparseInstance
  Returns the values of each attribute as an array of doubles.
toggleLoadStatus(List<String>) - Static method in class weka.core.WekaPackageManager
  Toggle the load status of the supplied list of package names
toHeader(JSONNode) - Static method in class weka.core.json.JSONInstances
  Turns a JSON object, if possible, into an Instances object (only header).
toInstances(JSONNode) - Static method in class weka.core.json.JSONInstances
  Turns a JSON object, if possible, into an Instances object.
toJSON(Instances) - Static method in class weka.core.json.JSONInstances
  Turns the Instances object into a JSON object.
tokenize(String) - Method in class weka.core.tokenizers.AlphabeticTokenizer
  Sets the string to tokenize.
tokenize(String) - Method in class weka.core.tokenizers.CharacterNGramTokenizer
  Sets the string to tokenize.
tokenize(String) - Method in class weka.core.tokenizers.NGramTokenizer
  Sets the string to tokenize.
tokenize(String) - Method in class weka.core.tokenizers.Tokenizer
  Sets the string to tokenize.
tokenize(Tokenizer, String[]) - Static method in class weka.core.tokenizers.Tokenizer
  initializes the given tokenizer with the given options and runs the tokenizer over all the remaining strings in the options array.
tokenize(String) - Method in class weka.core.tokenizers.WordTokenizer
  Sets the string to tokenize.
tokenize(String) - Method in class weka.gui.HierarchyPropertyParser
  Tokenize the given string based on the seperator and put the tokens into an array of strings
Tokenizer - Class in weka.core.tokenizers
  A superclass for all tokenizer algorithms.
Tokenizer() - Constructor for class weka.core.tokenizers.Tokenizer
tokenizerTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the tip text for this property.
tokenizerTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property.
tokenizerTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
toleranceParameterTipText() - Method in class weka.classifiers.functions.SMO
  Returns the tip text for this property
toleranceTipText() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  Returns the tip text for this property
toMatlab() - Method in class weka.classifiers.CostMatrix
  converts the Matrix into a single line Matlab string: matrix is enclosed by parentheses, rows are separated by semicolon and single cells by blanks, e.g., [1 2; 3 4].
toMatlab() - Method in class weka.core.matrix.Matrix
  converts the Matrix into a single line Matlab string: matrix is enclosed by parentheses, rows are separated by semicolon and single cells by blanks, e.g., [1 2; 3 4].
toMatlab() - Method in class weka.core.Matrix
  Deprecated.
  converts the Matrix into a single line Matlab string: matrix is enclosed by parentheses, rows are separated by semicolon and single cells by blanks, e.g., [1 2; 3 4].
toMatrixString() - Method in class weka.classifiers.evaluation.Evaluation
  Calls toMatrixString() with a default title.
toMatrixString(String) - Method in class weka.classifiers.evaluation.Evaluation
  Outputs the performance statistics as a classification confusion matrix.
toMatrixString() - Method in class weka.classifiers.Evaluation
  Calls toMatrixString() with a default title.
toMatrixString(String) - Method in class weka.classifiers.Evaluation
  Outputs the performance statistics as a classification confusion matrix.
toMegaByte(long) - Static method in class weka.core.Memory
  returns the amount of bytes as MB
toOptionList(Tag[]) - Static method in class weka.core.Tag
  returns a list that can be used in the listOption methods to list all the available ID strings, e.g.: <0|1|2> or <what|ever>
toOptionSynopsis(Tag[]) - Static method in class weka.core.Tag
  returns a string that can be used in the listOption methods to list all the available options, i.e., "\t\tID = Text\n" for each option
toOutput() - Method in class weka.gui.visualize.JComponentWriter
  saves the current component to the currently set file.
toOutput(JComponentWriter, JComponent, File) - Static method in class weka.gui.visualize.JComponentWriter
  outputs the given component with the given writer in the specified file
toOutput(JComponentWriter, JComponent, File, int, int) - Static method in class weka.gui.visualize.JComponentWriter
  outputs the given component with the given writer in the specified file.
TopDownConstructor - Class in weka.core.neighboursearch.balltrees
  The class implementing the TopDown construction method of ball trees.
TopDownConstructor() - Constructor for class weka.core.neighboursearch.balltrees.TopDownConstructor
  Creates a new instance of TopDownConstructor.
toPMML(Instances) - Method in class weka.classifiers.functions.Logistic
  Produce a PMML representation of this logistic model
toPMML(Instances, Instances, double[][], int) - Static method in class weka.classifiers.pmml.producer.LogisticProducerHelper
  Produce the PMML for a Logistic classifier
toPMML(Instances) - Method in interface weka.core.pmml.PMMLProducer
  Produce a PMML representation
topOfTree() - Method in class weka.classifiers.trees.m5.Rule
  Returns the top of the tree.
toPrologString() - Method in class weka.datagenerators.Test
  Returns the test represented by a string in Prolog notation.
toResultsString() - Method in class weka.attributeSelection.AttributeSelection
  get a description of the attribute selection
toSource(String) - Method in class weka.classifiers.meta.AdaBoostM1
  Returns the boosted model as Java source code.
toSource(String) - Method in class weka.classifiers.meta.LogitBoost
  Returns the boosted model as Java source code.
toSource(String) - Method in class weka.classifiers.rules.OneR
  Returns a string that describes the classifier as source.
toSource(String) - Method in class weka.classifiers.rules.ZeroR
  Returns a string that describes the classifier as source.
toSource(String) - Method in interface weka.classifiers.Sourcable
  Returns a string that describes the classifier as source.
toSource(String) - Method in class weka.classifiers.trees.DecisionStump
  Returns the decision tree as Java source code.
toSource(String) - Method in class weka.classifiers.trees.j48.ClassifierTree
  Returns source code for the tree as an if-then statement.
toSource(String) - Method in class weka.classifiers.trees.J48
  Returns tree as an if-then statement.
toSource(String) - Method in class weka.classifiers.trees.REPTree
  Returns the tree as if-then statements.
toSource(String) - Method in class weka.core.Capabilities
  turns the capabilities object into source code.
toSource(String, int) - Method in class weka.core.Capabilities
  turns the capabilities object into source code.
toSource(String, Instances) - Method in class weka.filters.AllFilter
  Returns a string that describes the filter as source.
toSource(String, Instances) - Method in interface weka.filters.Sourcable
  Returns a string that describes the filter as source.
toSource(String, Instances) - Method in class weka.filters.unsupervised.attribute.Center
  Returns a string that describes the filter as source.
toSource(String, Instances) - Method in class weka.filters.unsupervised.attribute.Normalize
  Returns a string that describes the filter as source.
toSource(String, Instances) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
  Returns a string that describes the filter as source.
toSource(String, Instances) - Method in class weka.filters.unsupervised.attribute.Standardize
  Returns a string that describes the filter as source.
toString() - Method in class weka.associations.Apriori
  Outputs the size of all the generated sets of itemsets and the rules.
toString(Instances) - Method in class weka.associations.AprioriItemSet
  Returns the contents of an item set as a string.
toString() - Method in class weka.associations.AssociatorEvaluation
  returns the current result
toString() - Method in enum weka.associations.DefaultAssociationRule.METRIC_TYPE
toString() - Method in class weka.associations.DefaultAssociationRule
  Get a textual description of this rule.
toString() - Method in class weka.associations.FilteredAssociator
  Output a representation of this associator
toString() - Method in class weka.associations.FPGrowth
  Output the association rules.
toString() - Method in class weka.associations.Item
  A string representation of this item.
toString(boolean) - Method in class weka.associations.Item
  A string representation of this item, (i.e.
toString(Instances) - Method in class weka.associations.ItemSet
  Returns the contents of an item set as a string.
toString(Instances, char, char) - Method in class weka.associations.ItemSet
  Returns the contents of an item set as a delimited string.
toString(boolean) - Method in class weka.associations.NominalItem
  A string representation of this item, (i.e.
toString(boolean) - Method in class weka.associations.NumericItem
  A string representation of this item, (i.e.
toString() - Method in class weka.attributeSelection.BestFirst.Link2
toString() - Method in class weka.attributeSelection.BestFirst
  returns a description of the search as a String
toString() - Method in class weka.attributeSelection.CfsSubsetEval
  returns a string describing CFS
toString() - Method in class weka.attributeSelection.CorrelationAttributeEval
  Describe the attribute evaluator
toString() - Method in class weka.attributeSelection.GainRatioAttributeEval
  Return a description of the evaluator
toString() - Method in class weka.attributeSelection.GreedyStepwise
  returns a description of the search.
toString() - Method in class weka.attributeSelection.InfoGainAttributeEval
  Describe the attribute evaluator
toString() - Method in class weka.attributeSelection.OneRAttributeEval
  Return a description of the evaluator
toString() - Method in class weka.attributeSelection.PrincipalComponents
  Returns a description of this attribute transformer
toString() - Method in class weka.attributeSelection.Ranker
  returns a description of the search as a String
toString() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Return a description of the ReliefF attribute evaluator.
toString() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
  Return a description of the evaluator
toString() - Method in class weka.attributeSelection.WrapperSubsetEval
  Returns a string describing the wrapper
toString() - Method in class weka.classifiers.bayes.BayesNet
  Returns a description of the classifier.
toString() - Method in class weka.classifiers.bayes.NaiveBayes
  Returns a description of the classifier.
toString() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
  Returns a string representation of the classifier.
toString() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns a textual description of this classifier.
toString() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
  Returns a string representation of the classifier.
toString() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
  Returns either the net (if BIF format) or the generated instances
toString() - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
  Display a representation of this estimator
toString() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
toString() - Method in class weka.classifiers.bayes.net.MarginCalculator
toString() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
  a string representation of the algorithm
toString() - Method in class weka.classifiers.BVDecompose
  Returns description of the bias-variance decomposition results.
toString() - Method in class weka.classifiers.BVDecomposeSegCVSub
  Returns description of the bias-variance decomposition results.
toString() - Method in class weka.classifiers.CostMatrix
  Converts a matrix to a string.
toString() - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Calls toString() with a default title.
toString(String) - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Outputs the performance statistics as a classification confusion matrix.
toString() - Method in class weka.classifiers.evaluation.NominalPrediction
  Gets a human readable representation of this prediction.
toString() - Method in class weka.classifiers.evaluation.NumericPrediction
  Gets a human readable representation of this prediction.
toString() - Method in class weka.classifiers.evaluation.TwoClassStats
  Returns a string containing the various performance measures for the current object
toString() - Method in class weka.classifiers.functions.GaussianProcesses
  Prints out the classifier.
toString() - Method in class weka.classifiers.functions.LinearRegression
  Outputs the linear regression model as a string.
toString() - Method in class weka.classifiers.functions.Logistic
  Gets a string describing the classifier.
toString() - Method in class weka.classifiers.functions.MultilayerPerceptron
toString() - Method in class weka.classifiers.functions.SGD
  Prints out the classifier.
toString() - Method in class weka.classifiers.functions.SGDText
toString() - Method in class weka.classifiers.functions.SimpleLinearRegression
  Returns a description of this classifier as a string
toString() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns a description of the logistic model (attributes/coefficients).
toString() - Method in class weka.classifiers.functions.SMO.BinarySMO
  Prints out the classifier.
toString() - Method in class weka.classifiers.functions.SMO
  Prints out the classifier.
toString() - Method in class weka.classifiers.functions.SMOreg
  Prints out the classifier.
toString() - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
  returns the current result
toString() - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
  returns a string representation for the Kernel
toString() - Method in class weka.classifiers.functions.supportVector.PolyKernel
  returns a string representation for the Kernel
toString() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
  returns a string representation for the Kernel
toString() - Method in class weka.classifiers.functions.supportVector.Puk
  returns a string representation for the Kernel
toString() - Method in class weka.classifiers.functions.supportVector.RBFKernel
  returns a string representation for the Kernel
toString() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
  Prints out the classifier.
toString() - Method in class weka.classifiers.functions.VotedPerceptron
  Returns textual description of classifier.
toString() - Method in class weka.classifiers.lazy.IBk
  Returns a description of this classifier.
toString() - Method in class weka.classifiers.lazy.KStar
  Returns a description of this classifier.
toString() - Method in class weka.classifiers.lazy.LWL
  Returns a description of this classifier.
toString() - Method in class weka.classifiers.meta.AdaBoostM1
  Returns description of the boosted classifier.
toString() - Method in class weka.classifiers.meta.AdditiveRegression
  Returns textual description of the classifier.
toString() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
  Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.Bagging
  Returns description of the bagged classifier.
toString() - Method in class weka.classifiers.meta.ClassificationViaRegression
  Prints the classifiers.
toString() - Method in class weka.classifiers.meta.CostSensitiveClassifier
  Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.CVParameterSelection
  Returns description of the cross-validated classifier.
toString() - Method in class weka.classifiers.meta.FilteredClassifier
  Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns a string describing the classifier.
toString() - Method in class weka.classifiers.meta.LogitBoost
  Returns description of the boosted classifier.
toString() - Method in class weka.classifiers.meta.MultiClassClassifier
  Prints the classifiers.
toString() - Method in class weka.classifiers.meta.MultiScheme
  Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.RandomCommittee
  Returns description of the committee.
toString() - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
  Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.RandomSubSpace
  Returns description of the bagged classifier.
toString() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns a description of the classifier.
toString() - Method in class weka.classifiers.meta.Stacking
  Output a representation of this classifier
toString() - Method in class weka.classifiers.meta.Vote
  Output a representation of this classifier
toString() - Method in class weka.classifiers.misc.InputMappedClassifier
toString() - Method in class weka.classifiers.misc.SerializedClassifier
  Returns a string representation of the classifier
toString() - Method in class weka.classifiers.pmml.consumer.GeneralRegression
  Return a textual description of this general regression.
toString() - Method in class weka.classifiers.pmml.consumer.NeuralNetwork
toString() - Method in class weka.classifiers.pmml.consumer.Regression
  Return a textual description of this Regression model.
toString() - Method in class weka.classifiers.pmml.consumer.RuleSetModel
  Return a textual description of this model.
toString() - Method in class weka.classifiers.pmml.consumer.SupportVectorMachineModel
  Get a textual description of this SupportVectorMachineModel
toString() - Method in class weka.classifiers.pmml.consumer.TreeModel
toString() - Method in class weka.classifiers.rules.DecisionTable
  Returns a description of the classifier.
toString(Instances, int) - Method in class weka.classifiers.rules.DecisionTableHashKey
  Convert a hash entry to a string
toString() - Method in class weka.classifiers.rules.JRip.Antd
toString() - Method in class weka.classifiers.rules.JRip.NominalAntd
  Prints this antecedent
toString() - Method in class weka.classifiers.rules.JRip.NumericAntd
  Prints this antecedent
toString(Attribute) - Method in class weka.classifiers.rules.JRip.RipperRule
  Prints this rule
toString() - Method in class weka.classifiers.rules.JRip
  Prints the all the rules of the rule learner.
toString() - Method in class weka.classifiers.rules.OneR
  Returns a description of the classifier
toString() - Method in class weka.classifiers.rules.part.ClassifierDecList
  Prints rules.
toString() - Method in class weka.classifiers.rules.part.MakeDecList
  Outputs the classifier into a string.
toString() - Method in class weka.classifiers.rules.PART
  Returns a description of the classifier
toString() - Method in class weka.classifiers.rules.ZeroR
  Returns a description of the classifier.
toString() - Method in class weka.classifiers.trees.DecisionStump
  Returns a description of the classifier.
toString() - Method in class weka.classifiers.trees.HoeffdingTree
  Return a textual description of the mode
toString(boolean) - Method in class weka.classifiers.trees.ht.HNode
  Print a textual description of the tree
toString() - Method in class weka.classifiers.trees.j48.ClassifierTree
  Prints tree structure.
toString() - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
  Prints tree structure.
toString() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Return a textual description of the node
toString() - Method in class weka.classifiers.trees.J48
  Returns a description of the classifier.
toString() - Method in class weka.classifiers.trees.lmt.LMTNode
  Returns a description of the logistic model tree (tree structure and logistic models)
toString() - Method in class weka.classifiers.trees.lmt.LogisticBase
  Returns a description of the logistic model (i.e., attributes and coefficients).
toString() - Method in class weka.classifiers.trees.LMT
  Returns a description of the classifier.
toString() - Method in class weka.classifiers.trees.m5.Impurity
  Converts an Impurity object to a string
toString() - Method in class weka.classifiers.trees.m5.M5Base
  Returns a description of the classifier
toString() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
  Returns a textual description of this linear model
toString() - Method in class weka.classifiers.trees.m5.Rule
  Return a description of the m5 tree or rule
toString() - Method in class weka.classifiers.trees.m5.RuleNode
  print the linear model at this node
toString() - Method in class weka.classifiers.trees.m5.Values
  Converts the stats to a string
toString(Instances) - Method in class weka.classifiers.trees.m5.YongSplitInfo
  Converts the spliting information to string
toString() - Method in class weka.classifiers.trees.RandomForest
  Outputs a description of this classifier.
toString() - Method in class weka.classifiers.trees.RandomTree
  Outputs the decision tree.
toString() - Method in class weka.classifiers.trees.REPTree
  Outputs the decision tree.
toString(boolean) - Method in class weka.clusterers.Canopy
  Return a textual description of this clusterer
toString() - Method in class weka.clusterers.Canopy
toString() - Method in class weka.clusterers.Cobweb
  Returns a description of the clusterer as a string.
toString() - Method in class weka.clusterers.EM
  Outputs the generated clusters into a string.
toString() - Method in class weka.clusterers.FarthestFirst
  return a string describing this clusterer
toString() - Method in class weka.clusterers.FilteredClusterer
  Output a representation of this clusterer.
toString() - Method in class weka.clusterers.HierarchicalClusterer
toString() - Method in class weka.clusterers.MakeDensityBasedClusterer
  Returns a description of the clusterer.
toString() - Method in class weka.clusterers.SimpleKMeans
  return a string describing this clusterer.
toString() - Method in class weka.core.AbstractInstance
  Returns the description of one instance.
toString(int) - Method in class weka.core.AbstractInstance
  Returns the description of one value of the instance as a string.
toString(int, int) - Method in class weka.core.AbstractInstance
  Returns the description of one value of the instance as a string.
toString(Attribute) - Method in class weka.core.AbstractInstance
  Returns the description of one value of the instance as a string.
toString(Attribute, int) - Method in class weka.core.AbstractInstance
  Returns the description of one value of the instance as a string.
toString() - Method in class weka.core.AlgVector
  Converts a vector to a string
toString() - Method in class weka.core.Attribute
  Returns a description of this attribute in ARFF format.
toString() - Method in class weka.core.AttributeExpression
toString() - Method in class weka.core.AttributeLocator
  returns a string representation of this object
toString() - Method in class weka.core.AttributeStats
  Returns a human readable representation of this AttributeStats instance.
toString() - Method in class weka.core.BinarySparseInstance
  Returns the description of one instance in sparse format.
toString() - Method in enum weka.core.Capabilities.Capability
  returns the display string of the capability
toString() - Method in class weka.core.Capabilities
  returns a string representation of the capabilities
toString() - Method in class weka.core.Debug.Clock
  returns the elapsed time, getStop() - getStart(), as string
toString() - Method in class weka.core.Debug.Log
  returns a string representation of the logger
toString() - Method in class weka.core.Debug.Random
  returns a string representation of this number generator
toString() - Method in class weka.core.Debug.SimpleLog
  returns a string representation of the logger
toString() - Method in class weka.core.Debug.Timestamp
  returns the timestamp as string in the specified format
toString(int, int) - Method in interface weka.core.Instance
  Returns the description of one value of the instance as a string.
toString(int) - Method in interface weka.core.Instance
  Returns the description of one value of the instance as a string.
toString(Attribute, int) - Method in interface weka.core.Instance
  Returns the description of one value of the instance as a string.
toString(Attribute) - Method in interface weka.core.Instance
  Returns the description of one value of the instance as a string.
toString() - Method in class weka.core.Instances
  Returns the dataset as a string in ARFF format.
toString(StringBuffer) - Method in class weka.core.json.JSONNode
  Dumps the node structure into JSON format.
toString() - Method in class weka.core.json.JSONNode
  Returns a string representation of the node.
toString() - Method in class weka.core.matrix.DoubleVector
  Convert the DoubleVecor to a string
toString(int, boolean) - Method in class weka.core.matrix.DoubleVector
  Convert the DoubleVecor to a string
toString() - Method in class weka.core.matrix.IntVector
  Converts the IntVecor to a string
toString(int, boolean) - Method in class weka.core.matrix.IntVector
  Convert the IntVecor to a string
toString() - Method in class weka.core.matrix.LinearRegression
  returns the coefficients in a string representation
toString() - Method in class weka.core.matrix.Matrix
  Converts a matrix to a string.
toString() - Method in class weka.core.Matrix
  Deprecated.
  Converts a matrix to a string
toString() - Method in class weka.core.NormalizableDistance
  Returns an empty string.
toString() - Method in enum weka.core.pmml.Array.ArrayType
toString() - Method in class weka.core.pmml.Array
toString() - Method in class weka.core.pmml.BuiltInArithmetic
toString(String) - Method in class weka.core.pmml.BuiltInArithmetic
toString() - Method in class weka.core.pmml.BuiltInMath
toString() - Method in class weka.core.pmml.BuiltInString
toString(String) - Method in class weka.core.pmml.Constant
toString() - Method in class weka.core.pmml.DefineFunction
toString(String) - Method in class weka.core.pmml.DefineFunction
toString() - Method in class weka.core.pmml.DerivedFieldMetaInfo
toString(String) - Method in class weka.core.pmml.Discretize
toString() - Method in class weka.core.pmml.Expression
toString(String) - Method in class weka.core.pmml.Expression
toString() - Method in enum weka.core.pmml.FieldMetaInfo.Interval.Closure
toString(double, double) - Method in enum weka.core.pmml.FieldMetaInfo.Interval.Closure
toString() - Method in class weka.core.pmml.FieldMetaInfo.Interval
toString() - Method in enum weka.core.pmml.FieldMetaInfo.Optype
toString() - Method in enum weka.core.pmml.FieldMetaInfo.Value.Property
toString() - Method in class weka.core.pmml.FieldMetaInfo.Value
toString(String) - Method in class weka.core.pmml.FieldRef
toString() - Method in class weka.core.pmml.Function
toString(String) - Method in class weka.core.pmml.Function
toString() - Method in class weka.core.pmml.MiningFieldMetaInfo
  Return a textual representation of this MiningField.
toString() - Method in class weka.core.pmml.MiningSchema
  Get a textual description of the mining schema.
toString(String) - Method in class weka.core.pmml.NormContinuous
toString(String) - Method in class weka.core.pmml.NormDiscrete
toString() - Method in class weka.core.pmml.SparseArray
toString() - Method in class weka.core.PropertyPath.Path
  returns the structure again as a dot-path
toString() - Method in class weka.core.PropertyPath.PathElement
  returns the element once again as string
toString() - Method in class weka.core.Queue
  Produces textual description of queue.
toString() - Method in class weka.core.Range
  Constructs a representation of the current range.
toString() - Method in class weka.core.SelectedTag
  returns the selected tag in string representation
toString() - Method in class weka.core.SingleIndex
  Constructs a representation of the current range.
toString() - Method in class weka.core.stemmers.LovinsStemmer
  returns a string representation of the stemmer
toString() - Method in class weka.core.stemmers.NullStemmer
  returns a string representation of the stemmer
toString() - Method in class weka.core.stemmers.SnowballStemmer
  returns a string representation of the stemmer.
toString() - Method in class weka.core.Stopwords
  returns the current stopwords in a string
toString() - Method in class weka.core.SystemInfo
  returns a string representation of all the system properties
toString() - Method in class weka.core.Tag
  returns the IDStr
toString() - Method in enum weka.core.TechnicalInformation.Field
  returns the display string of the Type
toString() - Method in class weka.core.TechnicalInformation
  Returns a plain-text string representing this technical information.
toString() - Method in enum weka.core.TechnicalInformation.Type
  returns the display string of the Type
toString() - Method in class weka.core.Tee
  returns only the classname and the number of streams.
toString() - Method in class weka.core.TestInstances
  returns a string representation of the object
toString() - Method in class weka.core.Trie
  returns the trie in string representation
toString() - Method in class weka.core.Trie.TrieNode
  returns the node in a string representation
toString() - Method in class weka.core.Version
  returns the current version as string
toString() - Method in class weka.core.xml.MethodHandler
  returns the internal Hashtable (propety/class - method relationship) in a string representation
toString() - Method in class weka.core.xml.XMLDocument
  returns the current DOM document as XML-string.
toString() - Method in class weka.core.xml.XMLOptions
  returns the object in a string representation (as indented XML output).
toString() - Method in class weka.core.xml.XMLSerializationMethodHandler
  returns the read and write method handlers as string
toString() - Method in class weka.datagenerators.ClusterDefinition
  returns a string representation of the cluster
toString() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Make a string from the cluster features.
toString() - Method in class weka.datagenerators.Test
  Returns the test represented by a string.
toString() - Method in class weka.estimators.DDConditionalEstimator
  Display a representation of this estimator
toString() - Method in class weka.estimators.DiscreteEstimator
  Display a representation of this estimator
toString() - Method in class weka.estimators.DKConditionalEstimator
  Display a representation of this estimator
toString() - Method in class weka.estimators.DNConditionalEstimator
  Display a representation of this estimator
toString() - Method in class weka.estimators.KDConditionalEstimator
  Display a representation of this estimator
toString() - Method in class weka.estimators.KernelEstimator
  Display a representation of this estimator
toString() - Method in class weka.estimators.KKConditionalEstimator
  Display a representation of this estimator
toString() - Method in class weka.estimators.MahalanobisEstimator
  Display a representation of this estimator
toString() - Method in class weka.estimators.NDConditionalEstimator
  Display a representation of this estimator
toString() - Method in class weka.estimators.NNConditionalEstimator
  Display a representation of this estimator
toString() - Method in class weka.estimators.NormalEstimator
  Display a representation of this estimator
toString() - Method in class weka.estimators.PoissonEstimator
  Display a representation of this estimator
toString() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
  Returns textual description of this estimator.
toString() - Method in class weka.estimators.UnivariateKernelEstimator
  Returns textual description of this estimator.
toString() - Method in class weka.estimators.UnivariateMixtureEstimator.MM
  Returns string describing the estimator.
toString() - Method in class weka.estimators.UnivariateMixtureEstimator
  Returns textual description of this estimator.
toString() - Method in class weka.estimators.UnivariateNormalEstimator
  Returns textual description of this estimator.
toString() - Method in class weka.experiment.AveragingResultProducer
  Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.ClassifierSplitEvaluator
  Returns a text description of the split evaluator.
toString() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
  Returns a text description of the split evaluator.
toString() - Method in class weka.experiment.CrossValidationResultProducer
  Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.CrossValidationSplitResultProducer
  Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.DatabaseResultProducer
  Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
  Returns a text description of the split evaluator.
toString() - Method in class weka.experiment.Experiment
  Gets a string representation of the experiment configuration.
toString() - Method in class weka.experiment.ExplicitTestsetResultProducer
  Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.LearningRateResultProducer
  Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.PairedStats
  Returns statistics on the paired comparison.
toString() - Method in class weka.experiment.PropertyNode
  Returns a string description of this property.
toString() - Method in class weka.experiment.RandomSplitResultProducer
  Gets a text descrption of the result producer.
toString() - Method in class weka.experiment.RegressionSplitEvaluator
  Returns a text description of the split evaluator.
toString() - Method in class weka.experiment.RemoteExperiment
  Overides toString in Experiment
toString() - Method in class weka.experiment.ResultMatrix
  returns the matrix as a string.
toString() - Method in class weka.experiment.Stats
  Returns a string summarising the stats so far.
toString() - Method in class weka.filters.Filter
  Returns a description of the filter, by default only the classname.
toString() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
  Return a nicely formatted string for display
toString() - Method in class weka.gui.arffviewer.ArffViewer
  returns only the classname
toString() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  returns only the classname
toString() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
  Return a textual description of this match rule
toString() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
  Return a textual description of this rule
toString() - Method in class weka.gui.GenericObjectEditor.GOETreeNode
  returns a string representation of this treenode.
toString() - Method in class weka.gui.graphvisualizer.GraphEdge
toString() - Method in class weka.gui.scripting.Script
  Returns the content as string.
toString() - Method in class weka.gui.SortedTableModel.SortContainer
  Returns a string representation of the sort container.
toString() - Method in class weka.gui.sql.event.ConnectionEvent
  returns the event in a string representation
toString() - Method in class weka.gui.sql.event.HistoryChangedEvent
  returns the event in a string representation
toString() - Method in class weka.gui.sql.event.QueryExecuteEvent
  returns the event in a string representation
toString() - Method in class weka.gui.sql.event.ResultChangedEvent
  returns the event in a string representation
toString() - Method in enum weka.Run.SchemeType
toStringHeader() - Method in class weka.experiment.ResultMatrix
  returns the header of the matrix as a string.
toStringHeader() - Method in class weka.experiment.ResultMatrixCSV
  returns the header of the matrix as a string.
toStringHeader() - Method in class weka.experiment.ResultMatrixGnuPlot
  returns the header of the matrix as a string.
toStringHeader() - Method in class weka.experiment.ResultMatrixHTML
  returns the header of the matrix as a string.
toStringHeader() - Method in class weka.experiment.ResultMatrixLatex
  returns the header of the matrix as a string.
toStringHeader() - Method in class weka.experiment.ResultMatrixPlainText
  returns the header of the matrix as a string.
toStringHeader() - Method in class weka.experiment.ResultMatrixSignificance
  returns the header of the matrix as a string.
toStringInternal() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
toStringKey() - Method in class weka.experiment.ResultMatrix
  returns returns a key for all the col names, for better readability if the names got cut off.
toStringKey() - Method in class weka.experiment.ResultMatrixCSV
  returns a key for all the col names, for better readability if the names got cut off.
toStringKey() - Method in class weka.experiment.ResultMatrixGnuPlot
  returns returns a key for all the col names, for better readability if the names got cut off.
toStringKey() - Method in class weka.experiment.ResultMatrixHTML
  returns returns a key for all the col names, for better readability if the names got cut off.
toStringKey() - Method in class weka.experiment.ResultMatrixLatex
  returns returns a key for all the col names, for better readability if the names got cut off.
toStringKey() - Method in class weka.experiment.ResultMatrixPlainText
  returns returns a key for all the col names, for better readability if the names got cut off.
toStringKey() - Method in class weka.experiment.ResultMatrixSignificance
  returns returns a key for all the col names, for better readability if the names got cut off.
toStringMatrix() - Method in class weka.experiment.ResultMatrix
  returns the matrix as a string.
toStringMatrix() - Method in class weka.experiment.ResultMatrixCSV
  returns the matrix in CSV format.
toStringMatrix() - Method in class weka.experiment.ResultMatrixGnuPlot
  returns the matrix in CSV format.
toStringMatrix() - Method in class weka.experiment.ResultMatrixHTML
  returns the matrix in an HTML table.
toStringMatrix() - Method in class weka.experiment.ResultMatrixLatex
  returns the matrix as latex table.
toStringMatrix() - Method in class weka.experiment.ResultMatrixPlainText
  returns the matrix as plain text.
toStringMatrix() - Method in class weka.experiment.ResultMatrixSignificance
  returns the matrix as plain text.
toStringMaxDecimalDigits(int) - Method in class weka.core.AbstractInstance
  Returns the description of one instance with any numeric values printed at the supplied maximum number of decimal places.
toStringMaxDecimalDigits(int) - Method in interface weka.core.Instance
  Returns the description of one instance with any numeric values printed at the supplied maximum number of decimal places.
toStringMetric(int, int, int, int) - Method in enum weka.associations.DefaultAssociationRule.METRIC_TYPE
toStringNoWeight() - Method in class weka.core.DenseInstance
  Returns the description of one instance (without weight appended).
toStringNoWeight(int) - Method in class weka.core.DenseInstance
  Returns the description of one instance (without weight appended).
toStringNoWeight(int) - Method in interface weka.core.Instance
  Returns the description of one instance (without weight appended).
toStringNoWeight() - Method in interface weka.core.Instance
  Returns the description of one instance (without weight appended).
toStringNoWeight() - Method in class weka.core.SparseInstance
  Returns the description of one instance in sparse format.
toStringNoWeight(int) - Method in class weka.core.SparseInstance
  Returns the description of one instance in sparse format.
toStringRanking() - Method in class weka.experiment.ResultMatrix
  returns the ranking in a string representation.
toStringRanking() - Method in class weka.experiment.ResultMatrixCSV
  returns the ranking in a string representation.
toStringRanking() - Method in class weka.experiment.ResultMatrixGnuPlot
  returns the ranking in a string representation.
toStringRanking() - Method in class weka.experiment.ResultMatrixHTML
  returns the ranking in a string representation.
toStringRanking() - Method in class weka.experiment.ResultMatrixLatex
  returns the ranking in a string representation.
toStringRanking() - Method in class weka.experiment.ResultMatrixPlainText
  returns the ranking in a string representation.
toStringRanking() - Method in class weka.experiment.ResultMatrixSignificance
  returns the ranking in a string representation.
toStringSummary() - Method in class weka.experiment.ResultMatrix
  returns the summary as string.
toStringSummary() - Method in class weka.experiment.ResultMatrixCSV
  returns the summary as string.
toStringSummary() - Method in class weka.experiment.ResultMatrixGnuPlot
  returns the summary as string.
toStringSummary() - Method in class weka.experiment.ResultMatrixHTML
  returns the summary as string.
toStringSummary() - Method in class weka.experiment.ResultMatrixLatex
  returns the summary as string.
toStringSummary() - Method in class weka.experiment.ResultMatrixPlainText
  returns the summary as string.
toStringSummary() - Method in class weka.experiment.ResultMatrixSignificance
  returns the summary as string.
toSummaryString() - Method in class weka.associations.AssociatorEvaluation
  returns a summary string of the evaluation with a no title
toSummaryString(String) - Method in class weka.associations.AssociatorEvaluation
  returns a summary string of the evaluation with a default title
toSummaryString() - Method in class weka.classifiers.evaluation.Evaluation
  Calls toSummaryString() with no title and no complexity stats.
toSummaryString(boolean) - Method in class weka.classifiers.evaluation.Evaluation
  Calls toSummaryString() with a default title.
toSummaryString(String, boolean) - Method in class weka.classifiers.evaluation.Evaluation
  Outputs the performance statistics in summary form.
toSummaryString() - Method in interface weka.classifiers.evaluation.InformationTheoreticEvaluationMetric
  Return a formatted string (suitable for displaying in console or GUI output) containing all the statistics that this metric computes.
toSummaryString() - Method in interface weka.classifiers.evaluation.IntervalBasedEvaluationMetric
  Return a formatted string (suitable for displaying in console or GUI output) containing all the statistics that this metric computes.
toSummaryString() - Method in interface weka.classifiers.evaluation.StandardEvaluationMetric
  Return a formatted string (suitable for displaying in console or GUI output) containing all the statistics that this metric computes.
toSummaryString() - Method in class weka.classifiers.Evaluation
  Calls toSummaryString() with no title and no complexity stats.
toSummaryString(boolean) - Method in class weka.classifiers.Evaluation
  Calls toSummaryString() with a default title.
toSummaryString(String, boolean) - Method in class weka.classifiers.Evaluation
  Outputs the performance statistics in summary form.
toSummaryString() - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
  returns a summary string of the evaluation with a no title
toSummaryString(String) - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
  returns a summary string of the evaluation with a default title
toSummaryString() - Method in class weka.classifiers.meta.CVParameterSelection
  A concise description of the model.
toSummaryString() - Method in class weka.classifiers.rules.PART
  Returns a superconcise version of the model
toSummaryString() - Method in class weka.classifiers.trees.J48
  Returns a superconcise version of the model
toSummaryString() - Method in class weka.core.Instances
  Generates a string summarizing the set of instances.
toSummaryString() - Method in interface weka.core.Summarizable
  Returns a string that summarizes the object.
total() - Method in class weka.classifiers.evaluation.ConfusionMatrix
  Gets the number of predictions that were made (actually the sum of the weights of predictions where the class value was known).
total() - Method in class weka.classifiers.trees.j48.Distribution
  Returns total number of (possibly fractional) instances.
TOTAL_UNIFORM - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
  cluster type: total uniform
totalCost() - Method in class weka.classifiers.evaluation.Evaluation
  Gets the total cost, that is, the cost of each prediction times the weight of the instance, summed over all instances.
totalCost() - Method in class weka.classifiers.Evaluation
  Gets the total cost, that is, the cost of each prediction times the weight of the instance, summed over all instances.
totalCount - Variable in class weka.core.AttributeStats
  The total number of values (i.e.
totalWeight() - Method in class weka.classifiers.trees.ht.HNode
  Return the total weight of instances seen at this node
toXML(int, int, int, int) - Method in enum weka.associations.DefaultAssociationRule.METRIC_TYPE
toXML(Object) - Method in class weka.core.xml.XMLSerialization
  extracts all accesible properties from the given object
toXMLBIF03() - Method in class weka.classifiers.bayes.BayesNet
  Returns a description of the classifier in XML BIF 0.3 format.
toXMLBIF03() - Method in class weka.classifiers.bayes.net.EditableBayesNet
  returns network in XMLBIF format
toXMLBIF03(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
  return fragment of network in XMLBIF format
toXMLBIF03() - Method in class weka.classifiers.bayes.net.MarginCalculator
TP_RATE_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: True Positive Rate
trace() - Method in class weka.core.matrix.Matrix
  Matrix trace.
trainCV(int, int) - Method in class weka.core.Instances
  Creates the training set for one fold of a cross-validation on the dataset.
trainCV(int, int, Random) - Method in class weka.core.Instances
  Creates the training set for one fold of a cross-validation on the dataset.
TRAINING - Static variable in class weka.gui.beans.BatchClustererEvent
TrainingInstances - Class in weka.core.pmml.jaxbbindings
  Java class for TrainingInstances element declaration.
TrainingInstances() - Constructor for class weka.core.pmml.jaxbbindings.TrainingInstances
TrainingSetEvent - Class in weka.gui.beans
  Event encapsulating a training set
TrainingSetEvent(Object, Instances) - Constructor for class weka.gui.beans.TrainingSetEvent
  Creates a new `TrainingSetEvent`
TrainingSetEvent(Object, Instances, int, int) - Constructor for class weka.gui.beans.TrainingSetEvent
  Creates a new `TrainingSetEvent`
TrainingSetEvent(Object, Instances, int, int, int, int) - Constructor for class weka.gui.beans.TrainingSetEvent
  Creates a new `TrainingSetEvent`
TrainingSetListener - Interface in weka.gui.beans
  Interface to something that can accept and process training set events
TrainingSetMaker - Class in weka.gui.beans
  Bean that accepts a data sets and produces a training set
TrainingSetMaker() - Constructor for class weka.gui.beans.TrainingSetMaker
TrainingSetMakerBeanInfo - Class in weka.gui.beans
  Bean info class for the training set maker bean
TrainingSetMakerBeanInfo() - Constructor for class weka.gui.beans.TrainingSetMakerBeanInfo
TrainingSetProducer - Interface in weka.gui.beans
  Interface to something that can produce a training set
trainingTimeTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
trainPercentTipText() - Method in class weka.experiment.RandomSplitResultProducer
  Returns the tip text for this property
trainPercentTipText() - Method in class weka.gui.beans.TrainTestSplitMaker
  Tip text info for this property
TrainTestSplitMaker - Class in weka.gui.beans
  Bean that accepts data sets, training sets, test sets and produces both a training and test set by randomly spliting the data
TrainTestSplitMaker() - Constructor for class weka.gui.beans.TrainTestSplitMaker
TrainTestSplitMakerBeanInfo - Class in weka.gui.beans
  Bean info class for the train test split maker bean
TrainTestSplitMakerBeanInfo() - Constructor for class weka.gui.beans.TrainTestSplitMakerBeanInfo
TrainTestSplitMakerCustomizer - Class in weka.gui.beans
  GUI customizer for the train test split maker bean
TrainTestSplitMakerCustomizer() - Constructor for class weka.gui.beans.TrainTestSplitMakerCustomizer
transactionsMustContainTipText() - Method in class weka.associations.FPGrowth
  Returns the tip text for this property
transform(AffineTransform) - Method in class weka.gui.visualize.PostscriptGraphics
transformAllValuesTipText() - Method in class weka.filters.supervised.attribute.NominalToBinary
  Returns the tip text for this property
transformAllValuesTipText() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
  Returns the tip text for this property
TransformationDictionary - Class in weka.core.pmml.jaxbbindings
  Java class for TransformationDictionary element declaration.
TransformationDictionary() - Constructor for class weka.core.pmml.jaxbbindings.TransformationDictionary
transformBackToOriginalTipText() - Method in class weka.attributeSelection.PrincipalComponents
  Returns the tip text for this property
transformedData(Instances) - Method in interface weka.attributeSelection.AttributeTransformer
  Transform the supplied data set (assumed to be the same format as the training data)
transformedData(Instances) - Method in class weka.attributeSelection.PrincipalComponents
  Gets the transformed training data.
transformedHeader() - Method in interface weka.attributeSelection.AttributeTransformer
  Returns just the header for the transformed data (ie.
transformedHeader() - Method in class weka.attributeSelection.PrincipalComponents
  Returns just the header for the transformed data (ie.
translate(int, int) - Method in class weka.gui.visualize.PostscriptGraphics
  Translates the origin of the graphics context to the point (x, y) in the current coordinate system.
translate(double, double) - Method in class weka.gui.visualize.PostscriptGraphics
translateDBColumnType(String) - Method in class weka.experiment.DatabaseUtils
  translates the column data type string to an integer value that indicates which data type / get()-Method to use in order to retrieve values from the database (see DatabaseUtils.Properties, InstanceQuery()).
translateDBColumnType(String) - Method in interface weka.experiment.InstanceQueryAdapter
  translates the column data type string to an integer value that indicates which data type / get()-Method to use in order to retrieve values from the database (see DatabaseUtils.Properties, InstanceQuery()).
translationTipText() - Method in class weka.filters.unsupervised.attribute.Normalize
  Returns the tip text for this property.
transpose() - Method in class weka.core.matrix.Matrix
  Matrix transpose.
transpose() - Method in class weka.core.Matrix
  Deprecated.
  Returns the transpose of a matrix.
Transpose - Class in weka.filters.unsupervised.attribute
  Transposes the data: instances become attributes and attributes become instances.
Transpose() - Constructor for class weka.filters.unsupervised.attribute.Transpose
transProb() - Method in class weka.classifiers.lazy.kstar.KStarNominalAttribute
  Calculates the probability of the indexed nominal attribute of the test instance transforming into the indexed nominal attribute of the training instance.
transProb() - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
  Calculates the transformation probability of the attribute indexed "m_AttrIndex" in test instance "m_Test" to the same attribute in the train instance "m_Train".
treatMissingValuesAsZeroTipText() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
  Returns the tip text for this property
treatZeroAsMissingTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
TREE - Static variable in interface weka.core.Drawable
TreeBuild - Class in weka.gui.treevisualizer
  This class will parse a dotty file and construct a tree structure from it with Edge's and Node's
TreeBuild() - Constructor for class weka.gui.treevisualizer.TreeBuild
  Upon construction this will only setup the color table for quick reference of a color.
TreeDisplayEvent - Class in weka.gui.treevisualizer
  An event containing the user selection from the tree display
TreeDisplayEvent(int, String) - Constructor for class weka.gui.treevisualizer.TreeDisplayEvent
  Constructs an event with the specified command and what the command is applied to.
TreeDisplayListener - Interface in weka.gui.treevisualizer
  Interface implemented by classes that wish to recieve user selection events from a tree displayer.
treeErrors() - Method in class weka.classifiers.trees.lmt.LMTNode
  Updates the numIncorrectTree field for all nodes.
TreeModel - Class in weka.classifiers.pmml.consumer
  Class implementing import of PMML TreeModel.
TreeModel(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.TreeModel
TreeModel - Class in weka.core.pmml.jaxbbindings
  Java class for TreeModel element declaration.
TreeModel() - Constructor for class weka.core.pmml.jaxbbindings.TreeModel
TreePerformanceStats - Class in weka.core.neighboursearch
  The class that measures the performance of a tree based nearest neighbour search algorithm.
TreePerformanceStats() - Constructor for class weka.core.neighboursearch.TreePerformanceStats
  Default constructor.
treeToString(int) - Method in class weka.classifiers.trees.m5.RuleNode
  Recursively builds a textual description of the tree
TreeVisualizePlugin - Interface in weka.gui.visualize.plugins
  Interface implemented by classes loaded dynamically to visualize classifier results in the explorer.
TreeVisualizer - Class in weka.gui.treevisualizer
  Class for displaying a Node structure in Swing.
TreeVisualizer(TreeDisplayListener, String, NodePlace) - Constructor for class weka.gui.treevisualizer.TreeVisualizer
  Constructs Displayer to display a tree provided in a dot format.
TreeVisualizer(TreeDisplayListener, Node, NodePlace) - Constructor for class weka.gui.treevisualizer.TreeVisualizer
  Constructs Displayer with the specified Node as the top of the tree, and uses the NodePlacer to place the Nodes.
TrendExpoSmooth - Class in weka.core.pmml.jaxbbindings
  Java class for Trend_ExpoSmooth element declaration.
TrendExpoSmooth() - Constructor for class weka.core.pmml.jaxbbindings.TrendExpoSmooth
TRIANGLEDOWN_SHAPE - Static variable in class weka.gui.visualize.Plot2D
TRIANGLEUP_SHAPE - Static variable in class weka.gui.visualize.Plot2D
TRICUBE - Static variable in class weka.classifiers.lazy.LWL
Trie - Class in weka.core
  A class representing a Trie data structure for strings.
Trie() - Constructor for class weka.core.Trie
  initializes the data structure
Trie.TrieIterator - Class in weka.core
  Represents an iterator over a trie
Trie.TrieIterator(Trie.TrieNode) - Constructor for class weka.core.Trie.TrieIterator
  initializes the iterator
Trie.TrieNode - Class in weka.core
  Represents a node in the trie.
Trie.TrieNode(char) - Constructor for class weka.core.Trie.TrieNode
  initializes the node
Trie.TrieNode(Character) - Constructor for class weka.core.Trie.TrieNode
  initializes the node
trim() - Method in class weka.gui.LogWindow
  trims the JTextPane, if too big
trimTipText() - Method in class weka.classifiers.misc.InputMappedClassifier
  Returns the tip text for this property
TRUE - Static variable in interface weka.core.mathematicalexpression.sym
True - Class in weka.core.pmml.jaxbbindings
  Java class for True element declaration.
True() - Constructor for class weka.core.pmml.jaxbbindings.True
TRUE - Static variable in interface weka.filters.unsupervised.instance.subsetbyexpression.sym
TRUE_NEG_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: True Negatives
TRUE_POS_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
  attribute name: True Positives
trueNegativeRate(int) - Method in class weka.classifiers.evaluation.Evaluation
  Calculate the true negative rate with respect to a particular class.
trueNegativeRate(int) - Method in class weka.classifiers.Evaluation
  Calculate the true negative rate with respect to a particular class.
truePositiveRate(int) - Method in class weka.classifiers.evaluation.Evaluation
  Calculate the true positive rate with respect to a particular class.
truePositiveRate(int) - Method in class weka.classifiers.Evaluation
  Calculate the true positive rate with respect to a particular class.
truncateTipText() - Method in class weka.core.converters.DatabaseSaver
  Returns the tip text for this property.
TStartTipText() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
TStartTipText() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
turnChecksOff() - Method in class weka.classifiers.functions.LinearRegression
  Turns off checks for missing values, etc.
turnChecksOff() - Method in class weka.classifiers.functions.SMO
  Turns off checks for missing values, etc.
turnChecksOn() - Method in class weka.classifiers.functions.LinearRegression
  Turns on checks for missing values, etc.
turnChecksOn() - Method in class weka.classifiers.functions.SMO
  Turns on checks for missing values, etc.
TwoClassStats - Class in weka.classifiers.evaluation
  Encapsulates performance functions for two-class problems.
TwoClassStats(double, double, double, double) - Constructor for class weka.classifiers.evaluation.TwoClassStats
  Creates the TwoClassStats with the given initial performance values.
type() - Method in class weka.core.Attribute
  Returns the attribute's type as an integer.
TYPE - Static variable in class weka.core.json.JSONInstances
  the type attribute.
type - Variable in class weka.gui.graphvisualizer.GraphEdge
  The type of Edge
typeIsNumeric(int) - Static method in class weka.gui.sql.ResultSetHelper
  returns whether the SQL type is numeric (and therefore the justification should be right).
typeName(int) - Static method in class weka.experiment.DatabaseUtils
  Returns the name associated with a SQL type.
typeToClass(int) - Static method in class weka.gui.sql.ResultSetHelper
  Returns the class associated with a SQL type.
typeToString(Attribute) - Static method in class weka.core.Attribute
  Returns a string representation of the attribute type.
typeToString(int) - Static method in class weka.core.Attribute
  Returns a string representation of the attribute type.
typeToStringShort(Attribute) - Static method in class weka.core.Attribute
  Returns a short string representation of the attribute type.
typeToStringShort(int) - Static method in class weka.core.Attribute
  Returns a short string representation of the attribute type.

## U

uminus() - Method in class weka.core.matrix.Matrix
  Unary minus
UnassignedClassException - Exception in weka.core
  Exception that is raised when trying to use some data that has no class assigned to it, but a class is needed to perform the operation.
UnassignedClassException() - Constructor for exception weka.core.UnassignedClassException
  Creates a new UnassignedClassException with no message.
UnassignedClassException(String) - Constructor for exception weka.core.UnassignedClassException
  Creates a new UnassignedClassException.
UnassignedDatasetException - Exception in weka.core
  Exception that is raised when trying to use something that has no reference to a dataset, when one is required.
UnassignedDatasetException() - Constructor for exception weka.core.UnassignedDatasetException
  Creates a new UnassignedDatasetException with no message.
UnassignedDatasetException(String) - Constructor for exception weka.core.UnassignedDatasetException
  Creates a new UnassignedDatasetException.
unbackQuoteChars(String) - Static method in class weka.core.Utils
  The inverse operation of backQuoteChars().
unclassified() - Method in class weka.classifiers.evaluation.Evaluation
  Gets the number of instances not classified (that is, for which no prediction was made by the classifier).
unclassified() - Method in class weka.classifiers.Evaluation
  Gets the number of instances not classified (that is, for which no prediction was made by the classifier).
UNCONNECTED - Static variable in class weka.classifiers.functions.neural.NeuralConnection
  This unit is not connected to any others.
undefinedDistribution - Static variable in class weka.core.matrix.Maths
  Distribution type: undefined
undo() - Method in class weka.classifiers.bayes.net.EditableBayesNet
  undo the last edit action performed on the network.
undo() - Method in interface weka.core.Undoable
  undoes the last action
undo() - Method in class weka.gui.arffviewer.ArffPanel
  performs an undo action
undo() - Method in class weka.gui.arffviewer.ArffSortedTableModel
  undoes the last action
undo() - Method in class weka.gui.arffviewer.ArffTableModel
  undoes the last action
undo() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  undoes the last action
undo() - Method in class weka.gui.explorer.PreprocessPanel
  Reverts to the last backed up version of the dataset.
Undoable - Interface in weka.core
  Interface implemented by classes that support undo.
UNHANDLED_DIALOG - Static variable in class weka.gui.ConverterFileChooser
  unhandled type of dialog.
UNIFORM_RANDOM - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
  cluster type: uniform/random
UniformDistribution - Class in weka.core.pmml.jaxbbindings
  Java class for UniformDistribution element declaration.
UniformDistribution() - Constructor for class weka.core.pmml.jaxbbindings.UniformDistribution
uninstallPackage(String, boolean, PrintStream...) - Static method in class weka.core.WekaPackageManager
  Uninstall a named package
uniqueCount - Variable in class weka.core.AttributeStats
  The number of values that only appear once
UnivariateDensityEstimator - Interface in weka.estimators
  Interface that can be implemented by simple weighted univariate density estimators.
UnivariateEqualFrequencyHistogramEstimator - Class in weka.estimators
  Simple histogram density estimator.
UnivariateEqualFrequencyHistogramEstimator() - Constructor for class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
UnivariateIntervalEstimator - Interface in weka.estimators
  Interface that can be implemented by simple weighted univariate interval estimators.
UnivariateKernelEstimator - Class in weka.estimators
  Simple weighted kernel density estimator.
UnivariateKernelEstimator() - Constructor for class weka.estimators.UnivariateKernelEstimator
UnivariateMixtureEstimator - Class in weka.estimators
  Simple weighted mixture density estimator.
UnivariateMixtureEstimator() - Constructor for class weka.estimators.UnivariateMixtureEstimator
UnivariateMixtureEstimator.MM - Class in weka.estimators
  Fast univariate mixture model implementation.
UnivariateMixtureEstimator.MM() - Constructor for class weka.estimators.UnivariateMixtureEstimator.MM
UnivariateNominalMultiwaySplit - Class in weka.classifiers.trees.ht
  A multiway split based on a single nominal attribute
UnivariateNominalMultiwaySplit(String) - Constructor for class weka.classifiers.trees.ht.UnivariateNominalMultiwaySplit
  Constructor
UnivariateNormalEstimator - Class in weka.estimators
  Simple weighted normal density estimator.
UnivariateNormalEstimator() - Constructor for class weka.estimators.UnivariateNormalEstimator
UnivariateNumericBinarySplit - Class in weka.classifiers.trees.ht
  A binary split based on a single numeric attribute
UnivariateNumericBinarySplit(String, double) - Constructor for class weka.classifiers.trees.ht.UnivariateNumericBinarySplit
  Constructor
UnivariateQuantileEstimator - Interface in weka.estimators
  Interface that can be implemented by simple weighted univariate quantile estimators.
UnivariateStats - Class in weka.core.pmml.jaxbbindings
  Java class for UnivariateStats element declaration.
UnivariateStats() - Constructor for class weka.core.pmml.jaxbbindings.UnivariateStats
UNKNOWN_NOMINAL_VALUE - Static variable in class weka.core.pmml.MappingInfo
  Index for incoming nominal values that are not defined in the mining schema.
unnormalizedKernel(char[], char[]) - Method in class weka.classifiers.functions.supportVector.StringKernel
  evaluates the unnormalized kernel between s and t.
unpivoting(IntVector, int) - Method in class weka.core.matrix.DoubleVector
  Returns a vector from the pivoting indices.
unprunedTipText() - Method in class weka.classifiers.rules.PART
  Returns the tip text for this property
unprunedTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
unprunedTipText() - Method in class weka.classifiers.trees.m5.M5Base
  Returns the tip text for this property
unquote(String) - Static method in class weka.core.Utils
  unquotes are previously quoted string (but only if necessary), i.e., it removes the single quotes around it.
UNSET - Static variable in class weka.filters.unsupervised.attribute.ClassAssigner
  unset the class attribute.
unsorted() - Method in class weka.core.matrix.DoubleVector
  Returns true if vector not sorted
UnsupervisedAttributeEvaluator - Class in weka.attributeSelection
  Abstract unsupervised attribute evaluator.
UnsupervisedAttributeEvaluator() - Constructor for class weka.attributeSelection.UnsupervisedAttributeEvaluator
UnsupervisedFilter - Interface in weka.filters
  Interface for filters that do not need a class attribute.
UnsupervisedSubsetEvaluator - Class in weka.attributeSelection
  Abstract unsupervised attribute subset evaluator.
UnsupervisedSubsetEvaluator() - Constructor for class weka.attributeSelection.UnsupervisedSubsetEvaluator
UnsupportedAttributeTypeException - Exception in weka.core
  Exception that is raised by an object that is unable to process some of the attribute types it has been passed.
UnsupportedAttributeTypeException() - Constructor for exception weka.core.UnsupportedAttributeTypeException
  Creates a new UnsupportedAttributeTypeException with no message.
UnsupportedAttributeTypeException(String) - Constructor for exception weka.core.UnsupportedAttributeTypeException
  Creates a new UnsupportedAttributeTypeException.
UnsupportedClassTypeException - Exception in weka.core
  Exception that is raised by an object that is unable to process the class type of the data it has been passed.
UnsupportedClassTypeException() - Constructor for exception weka.core.UnsupportedClassTypeException
  Creates a new UnsupportedClassTypeException with no message.
UnsupportedClassTypeException(String) - Constructor for exception weka.core.UnsupportedClassTypeException
  Creates a new UnsupportedClassTypeException.
unweightedMacroFmeasure() - Method in class weka.classifiers.evaluation.Evaluation
  Unweighted macro-averaged F-measure.
unweightedMacroFmeasure() - Method in class weka.classifiers.Evaluation
  Unweighted macro-averaged F-measure.
unweightedMicroFmeasure() - Method in class weka.classifiers.evaluation.Evaluation
  Unweighted micro-averaged F-measure.
unweightedMicroFmeasure() - Method in class weka.classifiers.Evaluation
  Unweighted micro-averaged F-measure.
update(MarginCalculator.JunctionTreeNode) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeSeparator
  marginalize junciontTreeNode node over all nodes outside the separator set
update(double, String, double) - Method in class weka.classifiers.trees.ht.ConditionalSufficientStats
  Update this stat with the supplied attribute value and class value
update(double, String, double) - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
update(double, String, double) - Method in class weka.classifiers.trees.ht.NominalConditionalSufficientStats
update(Instance) - Method in interface weka.core.DistanceFunction
  Update the distance function (if necessary) for the newly added instance.
update(Instance) - Method in class weka.core.FilteredDistance
  Update the distance function (if necessary) for the newly added instance.
update(double) - Method in class weka.core.matrix.FlexibleDecimalFormat
update(Instance) - Method in class weka.core.neighboursearch.BallTree
  Adds one instance to the BallTree.
update(Instance) - Method in class weka.core.neighboursearch.CoverTree
  Adds an instance to the cover tree.
update(Instance) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
  Updates ranges based on the given instance, once it has been filtered.
update(Instance) - Method in class weka.core.neighboursearch.KDTree
  Adds one instance to the KDTree.
update(Instance) - Method in class weka.core.neighboursearch.LinearNNSearch
  Updates the LinearNNSearch to cater for the new added instance.
update(Instance) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
  Updates the NearNeighbourSearch algorithm for the new added instance.
update(Instance) - Method in class weka.core.NormalizableDistance
  Update the distance function (if necessary) for the newly added instance.
update(String) - Method in class weka.experiment.DatabaseUtils
  Executes a SQL DDL query or an INSERT, DELETE or UPDATE.
update(Graphics) - Method in class weka.gui.SplashWindow
  Updates the display area of the window.
UpdateableBatchProcessor - Interface in weka.classifiers
  Updateable classifiers can implement this if they wish to be informed at the end of the training stream.
UpdateableClassifier - Interface in weka.classifiers
  Interface to incremental classification models that can learn using one instance at a time.
UpdateableClusterer - Interface in weka.clusterers
  Interface to incremental cluster models that can learn using one instance at a time.
updateChildPropertySheet() - Method in class weka.gui.GenericObjectEditor.GOEPanel
  Updates the child property sheet, and creates if needed.
updateClassifier(Instance) - Method in class weka.classifiers.bayes.BayesNet
  Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.bayes.NaiveBayes
  Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
  Updates the classifier with the given instance.
updateClassifier(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
  Updates the classifier with the given instance.
updateClassifier(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
  Updates the classifier with the given instance.
updateClassifier(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
  Updates the classifier with the given instance.
updateClassifier(BayesNet, Instance) - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
  Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.functions.SGD
  Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.functions.SGDText
  Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.lazy.IBk
  Adds the supplied instance to the training set.
updateClassifier(Instance) - Method in class weka.classifiers.lazy.KStar
  Adds the supplied instance to the training set
updateClassifier(Instance) - Method in class weka.classifiers.lazy.LWL
  Adds the supplied instance to the training set.
updateClassifier(Instance) - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
  Updates the classifier with the given instance.
updateClassifier(Instance) - Method in class weka.classifiers.trees.HoeffdingTree
  Updates the classifier with the given instance.
updateClassifier(Instance) - Method in interface weka.classifiers.UpdateableClassifier
  Updates a classifier using the given instance.
updateClusterer(Instance) - Method in class weka.clusterers.Canopy
updateClusterer(Instance) - Method in class weka.clusterers.Cobweb
  Adds an instance to the clusterer.
updateClusterer(Instance) - Method in interface weka.clusterers.UpdateableClusterer
  Adds an instance to the clusterer.
upDateCounter(Instance) - Method in class weka.associations.ItemSet
  Updates counter of item set with respect to given transaction.
upDateCounter(Instance, Instance) - Method in class weka.associations.LabeledItemSet
  Updates counter of item set with respect to given transaction.
upDateCounters(ArrayList<Object>, Instances) - Static method in class weka.associations.ItemSet
  Updates counters for a set of item sets and a set of instances.
upDateCounters(ArrayList<Object>, Instances, Instances) - Static method in class weka.associations.LabeledItemSet
  Updates counter of a specific item set
upDateCountersTreatZeroAsMissing(ArrayList<Object>, Instances) - Static method in class weka.associations.ItemSet
  Updates counters for a set of item sets and a set of instances.
upDateCountersTreatZeroAsMissing(ArrayList<LabeledItemSet>, Instances, Instances) - Static method in class weka.associations.LabeledItemSet
  Updates counter of a specific item set
updateCounterTreatZeroAsMissing(Instance) - Method in class weka.associations.ItemSet
  Updates counter of item set with respect to given transaction.
upDateCounterTreatZeroAsMissing(Instance, Instance) - Method in class weka.associations.LabeledItemSet
  Updates counter of item set with respect to given transaction.
updateDistribution(Instance) - Method in class weka.classifiers.trees.ht.HNode
  Update the class frequency distribution with the supplied instance
updateEnd(Logger) - Method in class weka.gui.beans.StreamThroughput
  Register a throughput measurement end point.
updateFinished() - Method in class weka.clusterers.Canopy
updateFinished() - Method in class weka.clusterers.Cobweb
  Singals the end of the updating.
updateFinished() - Method in interface weka.clusterers.UpdateableClusterer
  Signals the end of the updating.
updateFrameTitle() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
  sets the title of the parent frame, if one was provided
updateFromChild() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeSeparator
  marginalize junciontTreeNode node over all nodes outside the separator set of the child clique
updateFromParent() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeSeparator
  marginalize junciontTreeNode node over all nodes outside the separator set of the parent clique
updateJavadoc() - Method in class weka.core.Javadoc
  generates the Javadoc and returns it applied to the source file if one was provided, otherwise an empty string.
updateNode(Instance) - Method in class weka.classifiers.trees.ht.ActiveHNode
updateNode(Instance) - Method in class weka.classifiers.trees.ht.HNode
  Update the node with the supplied instance
updateNode(Instance) - Method in class weka.classifiers.trees.ht.InactiveHNode
updateNode(Instance) - Method in class weka.classifiers.trees.ht.LeafNode
updateNode(Instance) - Method in class weka.classifiers.trees.ht.NBNode
updateNode(Instance) - Method in class weka.classifiers.trees.ht.NBNodeAdaptive
updateNode(Instance) - Method in class weka.classifiers.trees.ht.SplitNode
updatePointCount(int) - Method in class weka.core.neighboursearch.PerformanceStats
  adds the given number to the point count.
updatePriors(Instance) - Method in class weka.classifiers.evaluation.Evaluation
  Updates the class prior probabilities or the mean respectively (when incrementally training).
updatePriors(Instance) - Method in class weka.classifiers.Evaluation
  Updates the class prior probabilities or the mean respectively (when incrementally training).
updateRanges(Instance, int, double[][]) - Method in class weka.core.NormalizableDistance
  Updates the minimum and maximum and width values for all the attributes based on a new instance.
updateRanges(Instance, double[][]) - Method in class weka.core.NormalizableDistance
  Updates the ranges given a new instance.
updateRanges(Instance) - Method in class weka.core.NormalizableDistance
  Update the ranges if a new instance comes.
updateRangesFirst(Instance, int, double[][]) - Method in class weka.core.NormalizableDistance
  Used to initialize the ranges.
updateResult(String) - Method in class weka.gui.ResultHistoryPanel
  Tells any component currently displaying the named result that the contents of the result text in the StringBuffer have been updated.
updateStart() - Method in class weka.gui.beans.StreamThroughput
  Register a throughput measurement start point
updateStatsForClassifier(double[], Instance) - Method in interface weka.classifiers.evaluation.InformationRetrievalEvaluationMetric
  Updates the statistics about a classifiers performance for the current test instance.
updateStatsForClassifier(double[], Instance) - Method in interface weka.classifiers.evaluation.InformationTheoreticEvaluationMetric
  Updates the statistics about a classifiers performance for the current test instance.
updateStatsForClassifier(double[], Instance) - Method in interface weka.classifiers.evaluation.StandardEvaluationMetric
  Updates the statistics about a classifiers performance for the current test instance.
updateStatsForConditionalDensityEstimator(ConditionalDensityEstimator, Instance, double) - Method in interface weka.classifiers.evaluation.InformationTheoreticEvaluationMetric
  Updates stats for conditional density estimator based on current test instance.
updateStatsForIntervalEstimator(IntervalEstimator, Instance, double) - Method in interface weka.classifiers.evaluation.IntervalBasedEvaluationMetric
  Updates stats for interval estimator based on current test instance.
updateStatsForPredictor(double, Instance) - Method in interface weka.classifiers.evaluation.InformationTheoreticEvaluationMetric
  Updates the statistics about a predictors performance for the current test instance.
updateStatsForPredictor(double, Instance) - Method in interface weka.classifiers.evaluation.StandardEvaluationMetric
  Updates the statistics about a predictors performance for the current test instance.
updateWeights(NeuralNode, double, double) - Method in class weka.classifiers.functions.neural.LinearUnit
  This function will calculate what the change in weights should be and also update them.
updateWeights(double, double) - Method in class weka.classifiers.functions.neural.NeuralConnection
  Call this function to update the weight values at this unit.
updateWeights(NeuralNode, double, double) - Method in interface weka.classifiers.functions.neural.NeuralMethod
  This function will calculate what the change in weights should be and also update them.
updateWeights(double, double) - Method in class weka.classifiers.functions.neural.NeuralNode
  Call this function to update the weight values at this unit.
updateWeights(NeuralNode, double, double) - Method in class weka.classifiers.functions.neural.SigmoidUnit
  This function will calculate what the change in weights should be and also update them.
updateWidth() - Method in class weka.estimators.UnivariateKernelEstimator
  Updates bandwidth: the sample standard deviation is multiplied by the total weight to the power of the given exponent.
upperBoundMinSupportTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
upperBoundMinSupportTipText() - Method in class weka.associations.FPGrowth
  Returns the tip text for this property
upperNumericBoundIsOpen() - Method in class weka.core.Attribute
  Returns whether the upper numeric bound of the attribute is open.
upperSizeTipText() - Method in class weka.experiment.LearningRateResultProducer
  Returns the tip text for this property
URLSourcedLoader - Interface in weka.core.converters
  Interface to a loader that can load from a http url
urlTipText() - Method in class weka.core.converters.DatabaseLoader
  the tip text for this property
urlTipText() - Method in class weka.core.converters.DatabaseSaver
  Returns the tip text for this property.
USE_DYNAMIC - Static variable in class weka.gui.GenericPropertiesCreator
  name of property whether to use the dynamic approach or the old GenericObjectEditor.props file
useADTreeTipText() - Method in class weka.classifiers.bayes.BayesNet
useAICTipText() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns the tip text for this property
useAICTipText() - Method in class weka.classifiers.trees.LMT
  Returns the tip text for this property
useArcReversalTipText() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
useArcReversalTipText() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
useAverageTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
  Returns the tip text for this property
useBetterEncodingTipText() - Method in class weka.filters.supervised.attribute.Discretize
  Returns the tip text for this property
useBinNumbersTipText() - Method in class weka.filters.supervised.attribute.Discretize
  Returns the tip text for this property
useBinNumbersTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
  Returns the tip text for this property
useConjugateGradientDescentTipText() - Method in class weka.classifiers.functions.Logistic
  Returns the tip text for this property
useCrossOverTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
useCrossOverTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
useCrossValidationTipText() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns the tip text for this property
useDefaultVisual() - Method in class weka.gui.beans.AbstractDataSink
  Use the default images for a data source
useDefaultVisual() - Method in class weka.gui.beans.AbstractDataSource
  Use the default images for a data source
useDefaultVisual() - Method in class weka.gui.beans.AbstractEvaluator
  Use the default images for an evaluator
useDefaultVisual() - Method in class weka.gui.beans.AbstractTestSetProducer
  Use the default visual for this bean
useDefaultVisual() - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
  Use the default visual for this bean
useDefaultVisual() - Method in class weka.gui.beans.AbstractTrainingSetProducer
  Use the default visual for this bean
useDefaultVisual() - Method in class weka.gui.beans.Appender
  Use the default visual representation
useDefaultVisual() - Method in class weka.gui.beans.Associator
  Use the default visual appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.AttributeSummarizer
  Use the default appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.ClassAssigner
useDefaultVisual() - Method in class weka.gui.beans.Classifier
  Use the default visual appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.ClassValuePicker
useDefaultVisual() - Method in class weka.gui.beans.Clusterer
  Use the default visual appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.CostBenefitAnalysis
useDefaultVisual() - Method in class weka.gui.beans.DataVisualizer
  Use the default appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.Filter
  Use the default visual appearance
useDefaultVisual() - Method in class weka.gui.beans.FlowByExpression
useDefaultVisual() - Method in class weka.gui.beans.GraphViewer
  Use the default visual appearance
useDefaultVisual() - Method in class weka.gui.beans.ImageSaver
useDefaultVisual() - Method in class weka.gui.beans.ImageViewer
useDefaultVisual() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
  Use the default visual appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.Join
  Use the default visual for this step
useDefaultVisual() - Method in class weka.gui.beans.MetaBean
  Use the default visual appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.ModelPerformanceChart
  Use the default appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.PredictionAppender
  Use the default images for a data source
useDefaultVisual() - Method in class weka.gui.beans.SerializedModelSaver
  Use the default images for this bean.
useDefaultVisual() - Method in class weka.gui.beans.Sorter
  Use the default visual representation
useDefaultVisual() - Method in class weka.gui.beans.StripChart
  Use the default visual appearance for this bean
useDefaultVisual() - Method in class weka.gui.beans.SubstringLabeler
  Use the default visual representation
useDefaultVisual() - Method in class weka.gui.beans.SubstringReplacer
  Use the default visual representation
useDefaultVisual() - Method in class weka.gui.beans.TextSaver
useDefaultVisual() - Method in class weka.gui.beans.TextViewer
  Use the default visual appearance for this bean
useDefaultVisual() - Method in interface weka.gui.beans.Visible
  Use the default visual representation
useDoubleTipText() - Method in class weka.core.converters.MatlabSaver
  Returns the tip text for this property.
useDynamic() - Method in class weka.gui.GenericPropertiesCreator
  gets whether the dynamic approach should be used or not
useEqualFrequencyTipText() - Method in class weka.classifiers.meta.RegressionByDiscretization
  Returns the tip text for this property
useEqualFrequencyTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
  Returns the tip text for this property
useEqualFrequencyTipText() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
  Returns the tip text for this property
useFilter(Instances, Filter) - Static method in class weka.filters.Filter
  Filters an entire set of instances through a filter and returns the new set.
useIBkTipText() - Method in class weka.classifiers.rules.DecisionTable
  Returns the tip text for this property
useKernelEstimatorTipText() - Method in class weka.classifiers.bayes.NaiveBayes
  Returns the tip text for this property
useKononenkoTipText() - Method in class weka.filters.supervised.attribute.Discretize
  Returns the tip text for this property
useLaplaceTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
useLeastValuesTipText() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
  Returns the tip text for this property
useLowerOrderTipText() - Method in class weka.classifiers.functions.supportVector.PolyKernel
  Returns the tip text for this property
useMDLcorrectionTipText() - Method in class weka.classifiers.rules.PART
  Returns the tip text for this property
useMDLcorrectionTipText() - Method in class weka.classifiers.trees.J48
  Returns the tip text for this property
useMissingTipText() - Method in class weka.filters.unsupervised.attribute.AddNoise
  Returns the tip text for this property
useMutationTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
useMutationTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
useNoPriors() - Method in class weka.classifiers.evaluation.Evaluation
  disables the use of priors, e.g., in case of de-serialized schemes that have no access to the original training set, but are evaluated on a set set.
useNoPriors() - Method in class weka.classifiers.Evaluation
  disables the use of priors, e.g., in case of de-serialized schemes that have no access to the original training set, but are evaluated on a set set.
useNormalizationTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
  Returns the tip text for this property
useORForMustContainListTipText() - Method in class weka.associations.FPGrowth
  Returns the tip text for this property
usePairwiseCouplingTipText() - Method in class weka.classifiers.meta.MultiClassClassifier
useProbTipText() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
usePruningTipText() - Method in class weka.classifiers.rules.JRip
  Returns the tip text for this property
user_init() - Method in class weka.core.json.Parser
  User initialization code.
userCommand(TreeDisplayEvent) - Method in interface weka.gui.treevisualizer.TreeDisplayListener
  Gets called when the user selects something, in the tree display.
userDataEvent(VisualizePanelEvent) - Method in interface weka.gui.visualize.VisualizePanelListener
  This method receives an object containing the shapes, instances inside and outside these shapes and the attributes these shapes were created in.
useRelativePathTipText() - Method in class weka.core.converters.AbstractFileLoader
  Tip text suitable for displaying int the GUI
useRelativePathTipText() - Method in class weka.core.converters.AbstractFileSaver
  Tip text suitable for displaying int the GUI
useResamplingTipText() - Method in class weka.classifiers.meta.AdaBoostM1
  Returns the tip text for this property
useResamplingTipText() - Method in class weka.classifiers.meta.LogitBoost
  Returns the tip text for this property
usernameTipText() - Method in class weka.experiment.DatabaseUtils
  Returns the tip text for this property.
UserRequestAcceptor - Interface in weka.gui.beans
  Interface to something that can accept requests from a user to perform some action
userTipText() - Method in class weka.core.converters.DatabaseLoader
  the tip text for this property
userTipText() - Method in class weka.core.converters.DatabaseSaver
  Returns the tip text for this property.
useShortIdentifiersTipText() - Method in class weka.filters.supervised.attribute.MergeNominalValues
  Returns the tip text for this property
useStemmer(Stemmer, String[]) - Static method in class weka.core.stemmers.Stemming
  Applies the given stemmer according to the given options.
useSupervisedDiscretizationTipText() - Method in class weka.classifiers.bayes.NaiveBayes
  Returns the tip text for this property
useTabsTipText() - Method in class weka.core.converters.MatlabSaver
  Returns the tip text for this property.
useTabTipText() - Method in class weka.classifiers.evaluation.output.prediction.CSV
  Returns the tip text for this property.
useTournamentSelectionTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
useTournamentSelectionTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
useUnsmoothedTipText() - Method in class weka.classifiers.trees.m5.M5Base
  Returns the tip text for this property
useVariant1TipText() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
  Returns the tip text for this property
useWordFrequenciesTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
  Returns the tip text for this property
useWordFrequenciesTipText() - Method in class weka.classifiers.functions.SGDText
  Returns the tip text for this property
Utils - Class in weka.core
  Class implementing some simple utility methods.
Utils() - Constructor for class weka.core.Utils

## V

VAL_ANIMATEDICONPATH - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the animatedIconPath property
VAL_ASSOCIATEDCONNECTIONS - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the associatedConnections property
VAL_BEAN - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the bean property
VAL_BEANCONTEXT - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the beanContext property
VAL_BLUE - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the blue property
VAL_CELLS - Static variable in class weka.core.xml.XMLBasicSerialization
  the matrix cells
VAL_COLOR - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the color property
VAL_CUSTOM_NAME - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the customName property
VAL_DATE - Static variable in class weka.core.xml.XMLInstances
  the value for date
VAL_DIR - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the dir property
VAL_EVENTNAME - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the eventname property
VAL_FILE - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the file property
VAL_FONT - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the font property
VAL_GREEN - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the green property
VAL_HEIGHT - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the height property
VAL_HIDDEN - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the hidden property
VAL_ICONPATH - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the iconpath property
VAL_ID - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the id property
VAL_INPUTS - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the input property
VAL_INPUTSID - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the input id property
VAL_KEY - Static variable in class weka.core.xml.XMLBasicSerialization
  the value for a mapping-key, e.g., Maps
VAL_LOADER - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the loader property
VAL_LOCATION - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the location property
VAL_MAPPING - Static variable in class weka.core.xml.XMLBasicSerialization
  the value for mapping, e.g., Maps
VAL_NAME - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the value property
VAL_NO - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the value "no".
VAL_NO - Static variable in class weka.core.xml.XMLDocument
  the value "no".
VAL_NO - Static variable in class weka.core.xml.XMLSerialization
  the value "no" for the primitive and array attribute
VAL_NOMINAL - Static variable in class weka.core.xml.XMLInstances
  the value for nominal
VAL_NORMAL - Static variable in class weka.core.xml.XMLInstances
  the value for normal
VAL_NUMERIC - Static variable in class weka.core.xml.XMLInstances
  the value for numeric
VAL_OPTIONS - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the options property
VAL_ORIGINALCOORDS - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the originalCoords property
VAL_OUTPUTS - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the outputs id property
VAL_OUTPUTSID - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the outputs property
VAL_PREFIX - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the prefix property
VAL_RED - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the red property
VAL_RELATIONAL - Static variable in class weka.core.xml.XMLInstances
  the value for relational
VAL_RELATIONNAMEFORFILENAME - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the relationNameForFilename property (Saver)
VAL_RELATIVE_PATH - Static variable in class weka.gui.beans.xml.XMLBeans
VAL_ROOT - Static variable in class weka.core.xml.XMLSerialization
  the value of the name for the root node
VAL_SAVER - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the saver property
VAL_SIZE - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the size property
VAL_SOURCEID - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the source property
VAL_SPARSE - Static variable in class weka.core.xml.XMLInstances
  the value for sparse
VAL_STRING - Static variable in class weka.core.xml.XMLInstances
  the value for string
VAL_STYLE - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the style property
VAL_SUBFLOW - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the subFlow property
VAL_TARGETID - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the target property
VAL_TEXT - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the text property
VAL_TYPE_CLASSIFIER - Static variable in class weka.core.xml.XMLOptions
  a value of the type attribute.
VAL_TYPE_FLAG - Static variable in class weka.core.xml.XMLOptions
  a value of the type attribute.
VAL_TYPE_HYPHENS - Static variable in class weka.core.xml.XMLOptions
  a value of the type attribute.
VAL_TYPE_OPTIONHANDLER - Static variable in class weka.core.xml.XMLOptions
  a value of the type attribute.
VAL_TYPE_QUOTES - Static variable in class weka.core.xml.XMLOptions
  a value of the type attribute.
VAL_TYPE_SINGLE - Static variable in class weka.core.xml.XMLOptions
  a value of the type attribute.
VAL_VALUE - Static variable in class weka.core.xml.XMLBasicSerialization
  the value for mapping-value, e.g., Maps
VAL_WIDTH - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the width property
VAL_X - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the x property
VAL_Y - Static variable in class weka.gui.beans.xml.XMLBeans
  the value of the y property
VAL_YES - Static variable in class weka.classifiers.evaluation.output.prediction.XML
  the value "yes".
VAL_YES - Static variable in class weka.core.xml.XMLDocument
  the value "yes".
VAL_YES - Static variable in class weka.core.xml.XMLSerialization
  the value "yes" for the primitive and array attribute
validateFileFormat(Tag) - Method in class weka.gui.beans.SerializedModelSaver
  Validate the file format.
validationSetSizeTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
validationThresholdTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
VALIDTIMESPEC - Enum in weka.core.pmml.jaxbbindings
  Java class for VALID-TIME-SPEC.
value - Variable in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
  scale factor or stop parameter
value(Attribute) - Method in class weka.core.AbstractInstance
  Returns an instance's attribute value in internal format.
value(int) - Method in class weka.core.Attribute
  Returns a value of a nominal or string attribute.
value(int) - Method in class weka.core.BinarySparseInstance
  Returns an instance's attribute value in internal format.
value(int) - Method in class weka.core.DenseInstance
  Returns an instance's attribute value in internal format.
value(int) - Method in interface weka.core.Instance
  Returns an instance's attribute value in internal format.
value(Attribute) - Method in interface weka.core.Instance
  Returns an instance's attribute value in internal format.
value(int) - Method in class weka.core.pmml.Array
  Gets the value at index from the array.
value() - Method in enum weka.core.pmml.jaxbbindings.ACTIVATIONFUNCTION
value() - Method in enum weka.core.pmml.jaxbbindings.BASELINETESTSTATISTIC
value() - Method in enum weka.core.pmml.jaxbbindings.CATSCORINGMETHOD
value() - Method in enum weka.core.pmml.jaxbbindings.COMPAREFUNCTION
value() - Method in enum weka.core.pmml.jaxbbindings.CONTSCORINGMETHOD
value() - Method in enum weka.core.pmml.jaxbbindings.CUMULATIVELINKFUNCTION
value() - Method in enum weka.core.pmml.jaxbbindings.DATATYPE
value() - Method in enum weka.core.pmml.jaxbbindings.DELIMITER2
value() - Method in enum weka.core.pmml.jaxbbindings.FIELDUSAGETYPE
value() - Method in enum weka.core.pmml.jaxbbindings.GAP
value() - Method in enum weka.core.pmml.jaxbbindings.INTERPOLATIONMETHOD
value() - Method in enum weka.core.pmml.jaxbbindings.INVALIDVALUETREATMENTMETHOD
value() - Method in enum weka.core.pmml.jaxbbindings.LINKFUNCTION
value() - Method in enum weka.core.pmml.jaxbbindings.MININGFUNCTION
value() - Method in enum weka.core.pmml.jaxbbindings.MISSINGVALUESTRATEGY
value() - Method in enum weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
value() - Method in enum weka.core.pmml.jaxbbindings.MULTIPLEMODELMETHOD
value() - Method in enum weka.core.pmml.jaxbbindings.NNNORMALIZATIONMETHOD
value() - Method in enum weka.core.pmml.jaxbbindings.NOTRUECHILDSTRATEGY
value() - Method in enum weka.core.pmml.jaxbbindings.OPTYPE
value() - Method in enum weka.core.pmml.jaxbbindings.OUTLIERTREATMENTMETHOD
value() - Method in enum weka.core.pmml.jaxbbindings.REGRESSIONNORMALIZATIONMETHOD
value() - Method in enum weka.core.pmml.jaxbbindings.RESULTFEATURE
value() - Method in enum weka.core.pmml.jaxbbindings.RULEFEATURE
value() - Method in enum weka.core.pmml.jaxbbindings.SVMCLASSIFICATIONMETHOD
value() - Method in enum weka.core.pmml.jaxbbindings.SVMREPRESENTATION
value() - Method in enum weka.core.pmml.jaxbbindings.TIMEANCHOR2
value() - Method in enum weka.core.pmml.jaxbbindings.TIMEEXCEPTIONTYPE
value() - Method in enum weka.core.pmml.jaxbbindings.TIMESERIESALGORITHM
value() - Method in enum weka.core.pmml.jaxbbindings.TIMESERIESUSAGE
value() - Method in enum weka.core.pmml.jaxbbindings.VALIDTIMESPEC
Value - Class in weka.core.pmml.jaxbbindings
  Java class for Value element declaration.
Value() - Constructor for class weka.core.pmml.jaxbbindings.Value
Value(String) - Constructor for class weka.core.pmml.jaxbbindings.Value
value(int) - Method in class weka.core.pmml.SparseArray
  Gets the value at index from the array.
value(int) - Method in class weka.core.SparseInstance
  Returns an instance's attribute value in internal format.
value - Variable in class weka.experiment.PropertyNode
  The current property value
valueDouble(int) - Method in class weka.core.pmml.Array
  Gets the value at index from the array as a double.
valueFloat(int) - Method in class weka.core.pmml.Array
  Gets the value at index from the array as a float.
valueIndicesTipText() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
valueInt(int) - Method in class weka.core.pmml.Array
  Gets the value at index from the array as an int.
valueIsSmallerEqual(Instance, int, double) - Method in class weka.core.EuclideanDistance
  Returns true if the value of the given dimension is smaller or equal the value to be compared with.
valueOf(String) - Static method in enum weka.associations.DefaultAssociationRule.METRIC_TYPE
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.associations.NumericItem.Comparison
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.Capabilities.Capability
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.json.JSONNode.NodeType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.logging.Logger.Level
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.Array.ArrayType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.FieldMetaInfo.Interval.Closure
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.FieldMetaInfo.Optype
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.FieldMetaInfo.Value.Property
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.ACTIVATIONFUNCTION
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.BASELINETESTSTATISTIC
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.CATSCORINGMETHOD
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.COMPAREFUNCTION
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.CONTSCORINGMETHOD
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.CUMULATIVELINKFUNCTION
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.DATATYPE
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.DELIMITER2
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.FIELDUSAGETYPE
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.GAP
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.INTERPOLATIONMETHOD
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.INVALIDVALUETREATMENTMETHOD
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.LINKFUNCTION
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.MININGFUNCTION
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.MISSINGVALUESTRATEGY
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.MULTIPLEMODELMETHOD
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.NNNORMALIZATIONMETHOD
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.NOTRUECHILDSTRATEGY
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.OPTYPE
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.OUTLIERTREATMENTMETHOD
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.REGRESSIONNORMALIZATIONMETHOD
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.RESULTFEATURE
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.RULEFEATURE
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.SVMCLASSIFICATIONMETHOD
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.SVMREPRESENTATION
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMEANCHOR2
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMEEXCEPTIONTYPE
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMESERIESALGORITHM
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.TIMESERIESUSAGE
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.pmml.jaxbbindings.VALIDTIMESPEC
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.RevisionUtils.Type
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.TechnicalInformation.Field
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.core.TechnicalInformation.Type
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.filters.unsupervised.attribute.InterquartileRange.ValueType
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.gui.GUIChooser.GUIChooserMenuPlugin.Menu
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.gui.scripting.event.ScriptExecutionEvent.Type
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.gui.scripting.SyntaxDocument.ATTR_TYPE
  Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum weka.Run.SchemeType
  Returns the enum constant of this type with the specified name.
valueReplacementsTipText() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
  Returns the tip text for this property
values() - Static method in enum weka.associations.DefaultAssociationRule.METRIC_TYPE
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.associations.NumericItem.Comparison
  Returns an array containing the constants of this enum type, in the order they are declared.
Values - Class in weka.classifiers.trees.m5
  Stores some statistics.
Values(int, int, int, Instances) - Constructor for class weka.classifiers.trees.m5.Values
  Constructs an object which stores some statistics of the instances such as sum, squared sum, variance, standard deviation
values() - Static method in enum weka.core.Capabilities.Capability
  Returns an array containing the constants of this enum type, in the order they are declared.
VALUES - Static variable in class weka.core.json.JSONInstances
  the values attribute.
values() - Static method in enum weka.core.json.JSONNode.NodeType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.logging.Logger.Level
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.Array.ArrayType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.FieldMetaInfo.Interval.Closure
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.FieldMetaInfo.Optype
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.FieldMetaInfo.Value.Property
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.ACTIVATIONFUNCTION
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.BASELINETESTSTATISTIC
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.CATSCORINGMETHOD
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.COMPAREFUNCTION
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.CONTSCORINGMETHOD
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.CUMULATIVELINKFUNCTION
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.DATATYPE
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.DELIMITER2
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.FIELDUSAGETYPE
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.GAP
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.INTERPOLATIONMETHOD
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.INVALIDVALUETREATMENTMETHOD
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.LINKFUNCTION
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.MININGFUNCTION
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.MISSINGVALUESTRATEGY
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.MISSINGVALUETREATMENTMETHOD
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.MULTIPLEMODELMETHOD
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.NNNORMALIZATIONMETHOD
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.NOTRUECHILDSTRATEGY
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.OPTYPE
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.OUTLIERTREATMENTMETHOD
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.REGRESSIONNORMALIZATIONMETHOD
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.RESULTFEATURE
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.RULEFEATURE
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.SVMCLASSIFICATIONMETHOD
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.SVMREPRESENTATION
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.TIMEANCHOR2
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.TIMEEXCEPTIONTYPE
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.TIMESERIESALGORITHM
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.TIMESERIESUSAGE
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.pmml.jaxbbindings.VALIDTIMESPEC
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.RevisionUtils.Type
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.TechnicalInformation.Field
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.core.TechnicalInformation.Type
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.filters.unsupervised.attribute.InterquartileRange.ValueType
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.gui.GUIChooser.GUIChooserMenuPlugin.Menu
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.gui.scripting.event.ScriptExecutionEvent.Type
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.gui.scripting.SyntaxDocument.ATTR_TYPE
  Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum weka.Run.SchemeType
  Returns an array containing the constants of this enum type, in the order they are declared.
valuesListTipText() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
  Returns the tip text for this property
valueSparse(int) - Method in class weka.core.AbstractInstance
  Returns an instance's attribute value in internal format, given an index in the sparse representation.
valueSparse(int) - Method in class weka.core.BinarySparseInstance
  Returns an instance's attribute value in internal format.
valueSparse(int) - Method in interface weka.core.Instance
  Returns an instance's attribute value in internal format, given an index in the sparse representation.
valueSparse(int) - Method in class weka.core.pmml.Array
  Gets the value at indexOfIndex from the array.
valueSparseDouble(int) - Method in class weka.core.pmml.Array
  Gets the value at indexOfIndex from the array.
valueSparseFloat(int) - Method in class weka.core.pmml.Array
  Gets the value at indexOfIndex from the array.
valueSparseInt(int) - Method in class weka.core.pmml.Array
  Gets the value at indexOfIndex from the array.
valueSparseString(int) - Method in class weka.core.pmml.Array
  Gets the value at indexOfIndex from the array.
valueString(int) - Method in class weka.core.pmml.Array
  Gets the value at index from the array as a String.
VARIABLE - Static variable in interface weka.core.mathematicalexpression.sym
variance(int) - Method in class weka.core.Instances
  Computes the variance for a numeric attribute.
variance(Attribute) - Method in class weka.core.Instances
  Computes the variance for a numeric attribute.
variance(double[]) - Static method in class weka.core.Utils
  Computes the variance for an array of doubles.
varianceCoveredTipText() - Method in class weka.attributeSelection.PrincipalComponents
  Returns the tip text for this property
varianceCoveredTipText() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
  Returns the tip text for this property.
variances() - Method in class weka.core.Instances
  Computes the variance for all numeric attributes simultaneously.
VaryNode - Class in weka.classifiers.bayes.net
  Part of ADTree implementation.
VaryNode(int) - Constructor for class weka.classifiers.bayes.net.VaryNode
  Creates new VaryNode
VectorDictionary - Class in weka.core.pmml.jaxbbindings
  Java class for VectorDictionary element declaration.
VectorDictionary() - Constructor for class weka.core.pmml.jaxbbindings.VectorDictionary
VectorDictionary - Class in weka.core.pmml
  Class encapsulating the PMML VectorDictionary construct.
VectorDictionary(Element, MiningSchema) - Constructor for class weka.core.pmml.VectorDictionary
  Constructor.
VectorFields - Class in weka.core.pmml.jaxbbindings
  Java class for VectorFields element declaration.
VectorFields() - Constructor for class weka.core.pmml.jaxbbindings.VectorFields
VectorInstance - Class in weka.core.pmml.jaxbbindings
  Java class for VectorInstance element declaration.
VectorInstance() - Constructor for class weka.core.pmml.jaxbbindings.VectorInstance
VectorInstance - Class in weka.core.pmml
  Class encapsulating a PMML VectorInstance construct
VectorInstance(Array, List<FieldRef>) - Constructor for class weka.core.pmml.VectorInstance
  Constructor
VectorInstance(Element, List<FieldRef>) - Constructor for class weka.core.pmml.VectorInstance
  Constructor
VERBOSE - Static variable in class weka.core.ClassCache
  whether to output some debug information.
VERBOSE - Static variable in class weka.core.ClassDiscovery
  whether to output some debug information.
VERBOSE - Static variable in class weka.gui.GenericPropertiesCreator
  whether to output some debug information
verboseTipText() - Method in class weka.associations.Apriori
  Returns the tip text for this property
VerificationField - Class in weka.core.pmml.jaxbbindings
  Java class for VerificationField element declaration.
VerificationField() - Constructor for class weka.core.pmml.jaxbbindings.VerificationField
VerificationFields - Class in weka.core.pmml.jaxbbindings
  Java class for VerificationFields element declaration.
VerificationFields() - Constructor for class weka.core.pmml.jaxbbindings.VerificationFields
Version - Class in weka.core
  This class contains the version number of the current WEKA release and some methods for comparing another version string.
Version() - Constructor for class weka.core.Version
VERSION - Static variable in class weka.core.Version
  the complete version
VERSION_FILE - Static variable in class weka.core.Version
  the version file
ViewerDialog - Class in weka.gui
  A downsized version of the ArffViewer, displaying only one Instances-Object.
ViewerDialog(Frame) - Constructor for class weka.gui.ViewerDialog
  initializes the dialog with the given parent
Visible - Interface in weka.gui.beans
  Interface to something that has a visible (via BeanVisual) reprentation
VisualizableErrorEvent - Class in weka.gui.beans
  Event encapsulating error information for a learning scheme that can be visualized in the DataVisualizer
VisualizableErrorEvent(Object, PlotData2D) - Constructor for class weka.gui.beans.VisualizableErrorEvent
VisualizableErrorListener - Interface in weka.gui.beans
  Interface to something that can accept VisualizableErrorEvents
VisualizePanel - Class in weka.gui.explorer
  A slightly extended MatrixPanel for better support in the Explorer.
VisualizePanel() - Constructor for class weka.gui.explorer.VisualizePanel
VisualizePanel - Class in weka.gui.visualize
  This panel allows the user to visualize a dataset (and if provided) a classifier's/clusterer's predictions in two dimensions.
VisualizePanel(VisualizePanelListener) - Constructor for class weka.gui.visualize.VisualizePanel
  This constructor allows a VisualizePanelListener to be set.
VisualizePanel() - Constructor for class weka.gui.visualize.VisualizePanel
  Constructor
VisualizePanelEvent - Class in weka.gui.visualize
  This event Is fired to a listeners 'userDataEvent' function when The user on the VisualizePanel clicks submit.
VisualizePanelEvent(ArrayList<ArrayList<Double>>, Instances, Instances, int, int) - Constructor for class weka.gui.visualize.VisualizePanelEvent
  This constructor creates the event with all the parameters set.
VisualizePanelListener - Interface in weka.gui.visualize
  Interface implemented by a class that is interested in receiving submited shapes from a visualize panel.
VisualizePlugin - Interface in weka.gui.visualize.plugins
  Interface implemented by classes loaded dynamically to visualize classifier results in the explorer.
VisualizeUtils - Class in weka.gui.visualize
  This class contains utility routines for visualization
VisualizeUtils() - Constructor for class weka.gui.visualize.VisualizeUtils
VLINE - Static variable in class weka.gui.visualize.VisualizePanelEvent
Vote - Class in weka.classifiers.meta
  Class for combining classifiers.
Vote() - Constructor for class weka.classifiers.meta.Vote
VotedPerceptron - Class in weka.classifiers.functions
  Implementation of the voted perceptron algorithm by Freund and Schapire.
VotedPerceptron() - Constructor for class weka.classifiers.functions.VotedPerceptron
voteFlagTipText() - Method in class weka.datagenerators.classifiers.classification.RDG1
  Returns the tip text for this property

## W

waitUntilFinished() - Method in class weka.gui.beans.FlowRunner
  Waits until all flows have finished executing before returning
WARNING - Static variable in class weka.core.Debug
  the log level Warning
weight() - Method in class weka.classifiers.evaluation.NominalPrediction
  Gets the weight assigned to this prediction.
weight() - Method in class weka.classifiers.evaluation.NumericPrediction
  Gets the weight assigned to this prediction.
weight() - Method in interface weka.classifiers.evaluation.Prediction
  Gets the weight assigned to this prediction.
weight(Instance) - Method in class weka.classifiers.rules.part.ClassifierDecList
  Returns the weight a rule assigns to an instance.
weight() - Method in class weka.core.AbstractInstance
  Returns the instance's weight.
weight() - Method in class weka.core.Attribute
  Returns the attribute's weight.
weight() - Method in interface weka.core.Instance
  Returns the instance's weight.
WEIGHT - Static variable in class weka.core.json.JSONInstances
  the weight attribute.
WEIGHT_INVERSE - Static variable in class weka.classifiers.lazy.IBk
  weight by 1/distance.
WEIGHT_NONE - Static variable in class weka.classifiers.lazy.IBk
  no weighting.
WEIGHT_SIMILARITY - Static variable in class weka.classifiers.lazy.IBk
  weight by 1-distance.
weightByDistanceTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
  Returns the tip text for this property
weightedAreaUnderPRC() - Method in class weka.classifiers.evaluation.Evaluation
  Calculates the weighted (by class size) AUPRC.
weightedAreaUnderPRC() - Method in class weka.classifiers.Evaluation
  Calculates the weighted (by class size) AUPRC.
weightedAreaUnderROC() - Method in class weka.classifiers.evaluation.Evaluation
  Calculates the weighted (by class size) AUC.
weightedAreaUnderROC() - Method in class weka.classifiers.Evaluation
  Calculates the weighted (by class size) AUC.
weightedFalseNegativeRate() - Method in class weka.classifiers.evaluation.Evaluation
  Calculates the weighted (by class size) false negative rate.
weightedFalseNegativeRate() - Method in class weka.classifiers.Evaluation
  Calculates the weighted (by class size) false negative rate.
weightedFalsePositiveRate() - Method in class weka.classifiers.evaluation.Evaluation
  Calculates the weighted (by class size) false positive rate.
weightedFalsePositiveRate() - Method in class weka.classifiers.Evaluation
  Calculates the weighted (by class size) false positive rate.
weightedFMeasure() - Method in class weka.classifiers.evaluation.Evaluation
  Calculates the macro weighted (by class size) average F-Measure.
weightedFMeasure() - Method in class weka.classifiers.Evaluation
  Calculates the macro weighted (by class size) average F-Measure.
WeightedInstancesHandler - Interface in weka.core
  Interface to something that makes use of the information provided by instance weights.
weightedMatthewsCorrelation() - Method in class weka.classifiers.evaluation.Evaluation
  Calculates the weighted (by class size) matthews correlation coefficient.
weightedMatthewsCorrelation() - Method in class weka.classifiers.Evaluation
  Calculates the weighted (by class size) matthews correlation coefficient.
weightedPrecision() - Method in class weka.classifiers.evaluation.Evaluation
  Calculates the weighted (by class size) precision.
weightedPrecision() - Method in class weka.classifiers.Evaluation
  Calculates the weighted (by class size) precision.
weightedRecall() - Method in class weka.classifiers.evaluation.Evaluation
  Calculates the weighted (by class size) recall.
weightedRecall() - Method in class weka.classifiers.Evaluation
  Calculates the weighted (by class size) recall.
weightedTrueNegativeRate() - Method in class weka.classifiers.evaluation.Evaluation
  Calculates the weighted (by class size) true negative rate.
weightedTrueNegativeRate() - Method in class weka.classifiers.Evaluation
  Calculates the weighted (by class size) true negative rate.
weightedTruePositiveRate() - Method in class weka.classifiers.evaluation.Evaluation
  Calculates the weighted (by class size) true positive rate.
weightedTruePositiveRate() - Method in class weka.classifiers.Evaluation
  Calculates the weighted (by class size) true positive rate.
weightingKernelTipText() - Method in class weka.classifiers.lazy.LWL
  Returns the tip text for this property.
WeightMass - Class in weka.classifiers.trees.ht
  Simple container for a weight
WeightMass() - Constructor for class weka.classifiers.trees.ht.WeightMass
weights(Instance) - Method in class weka.classifiers.trees.j48.BinC45Split
  Returns weights if instance is assigned to more than one subset.
weights(Instance) - Method in class weka.classifiers.trees.j48.C45Split
  Returns weights if instance is assigned to more than one subset.
weights(Instance) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Returns weights if instance is assigned to more than one subset.
weights(Instance) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Always returns null because there is only one subset.
weights(Instance) - Method in class weka.classifiers.trees.j48.NBTreeSplit
  Returns weights if instance is assigned to more than one subset.
weights(Instance) - Method in class weka.classifiers.trees.j48.NoSplit
  Always returns null because there is only one subset.
weights(Instance) - Method in class weka.classifiers.trees.lmt.ResidualSplit
  Method not in use
weightThresholdTipText() - Method in class weka.classifiers.meta.AdaBoostM1
  Returns the tip text for this property
weightThresholdTipText() - Method in class weka.classifiers.meta.LogitBoost
  Returns the tip text for this property
weightTrimBetaTipText() - Method in class weka.classifiers.functions.SimpleLogistic
  Returns the tip text for this property
weightTrimBetaTipText() - Method in class weka.classifiers.trees.LMT
  Returns the tip text for this property
weightValue(int) - Method in class weka.classifiers.functions.neural.NeuralConnection
  Call this to get the weight value on a particular connection.
weightValue(int) - Method in class weka.classifiers.functions.neural.NeuralNode
  Call this to get the weight value on a particular connection.
weka - package weka
weka.associations - package weka.associations
weka.attributeSelection - package weka.attributeSelection
weka.classifiers - package weka.classifiers
weka.classifiers.bayes - package weka.classifiers.bayes
weka.classifiers.bayes.net - package weka.classifiers.bayes.net
weka.classifiers.bayes.net.estimate - package weka.classifiers.bayes.net.estimate
weka.classifiers.bayes.net.search - package weka.classifiers.bayes.net.search
weka.classifiers.bayes.net.search.ci - package weka.classifiers.bayes.net.search.ci
weka.classifiers.bayes.net.search.fixed - package weka.classifiers.bayes.net.search.fixed
weka.classifiers.bayes.net.search.global - package weka.classifiers.bayes.net.search.global
weka.classifiers.bayes.net.search.local - package weka.classifiers.bayes.net.search.local
weka.classifiers.evaluation - package weka.classifiers.evaluation
weka.classifiers.evaluation.output.prediction - package weka.classifiers.evaluation.output.prediction
weka.classifiers.functions - package weka.classifiers.functions
weka.classifiers.functions.neural - package weka.classifiers.functions.neural
weka.classifiers.functions.supportVector - package weka.classifiers.functions.supportVector
weka.classifiers.lazy - package weka.classifiers.lazy
weka.classifiers.lazy.kstar - package weka.classifiers.lazy.kstar
weka.classifiers.meta - package weka.classifiers.meta
weka.classifiers.misc - package weka.classifiers.misc
weka.classifiers.pmml.consumer - package weka.classifiers.pmml.consumer
weka.classifiers.pmml.producer - package weka.classifiers.pmml.producer
weka.classifiers.rules - package weka.classifiers.rules
weka.classifiers.rules.part - package weka.classifiers.rules.part
weka.classifiers.trees - package weka.classifiers.trees
weka.classifiers.trees.ht - package weka.classifiers.trees.ht
weka.classifiers.trees.j48 - package weka.classifiers.trees.j48
weka.classifiers.trees.lmt - package weka.classifiers.trees.lmt
weka.classifiers.trees.m5 - package weka.classifiers.trees.m5
weka.classifiers.xml - package weka.classifiers.xml
weka.clusterers - package weka.clusterers
weka.core - package weka.core
weka.core.converters - package weka.core.converters
weka.core.json - package weka.core.json
weka.core.logging - package weka.core.logging
weka.core.mathematicalexpression - package weka.core.mathematicalexpression
weka.core.matrix - package weka.core.matrix
weka.core.neighboursearch - package weka.core.neighboursearch
weka.core.neighboursearch.balltrees - package weka.core.neighboursearch.balltrees
weka.core.neighboursearch.covertrees - package weka.core.neighboursearch.covertrees
weka.core.neighboursearch.kdtrees - package weka.core.neighboursearch.kdtrees
weka.core.pmml - package weka.core.pmml
weka.core.pmml.jaxbbindings - package weka.core.pmml.jaxbbindings
weka.core.scripting - package weka.core.scripting
weka.core.stemmers - package weka.core.stemmers
weka.core.stopwords - package weka.core.stopwords
weka.core.tokenizers - package weka.core.tokenizers
weka.core.xml - package weka.core.xml
weka.datagenerators - package weka.datagenerators
weka.datagenerators.classifiers.classification - package weka.datagenerators.classifiers.classification
weka.datagenerators.classifiers.regression - package weka.datagenerators.classifiers.regression
weka.datagenerators.clusterers - package weka.datagenerators.clusterers
weka.estimators - package weka.estimators
weka.experiment - package weka.experiment
weka.experiment.xml - package weka.experiment.xml
weka.filters - package weka.filters
weka.filters.supervised.attribute - package weka.filters.supervised.attribute
weka.filters.supervised.instance - package weka.filters.supervised.instance
weka.filters.unsupervised.attribute - package weka.filters.unsupervised.attribute
weka.filters.unsupervised.instance - package weka.filters.unsupervised.instance
weka.filters.unsupervised.instance.subsetbyexpression - package weka.filters.unsupervised.instance.subsetbyexpression
weka.gui - package weka.gui
weka.gui.arffviewer - package weka.gui.arffviewer
weka.gui.beans - package weka.gui.beans
weka.gui.beans.xml - package weka.gui.beans.xml
weka.gui.boundaryvisualizer - package weka.gui.boundaryvisualizer
weka.gui.experiment - package weka.gui.experiment
weka.gui.explorer - package weka.gui.explorer
weka.gui.filters - package weka.gui.filters
weka.gui.graphvisualizer - package weka.gui.graphvisualizer
weka.gui.hierarchyvisualizer - package weka.gui.hierarchyvisualizer
weka.gui.scripting - package weka.gui.scripting
weka.gui.scripting.event - package weka.gui.scripting.event
weka.gui.sql - package weka.gui.sql
weka.gui.sql.event - package weka.gui.sql.event
weka.gui.streams - package weka.gui.streams
weka.gui.treevisualizer - package weka.gui.treevisualizer
weka.gui.visualize - package weka.gui.visualize
weka.gui.visualize.plugins - package weka.gui.visualize.plugins
WEKA_HOME - Static variable in class weka.core.WekaPackageManager
  Default path to where Weka's configuration and packages are stored
WekaEnumeration<E> - Class in weka.core
  Class for enumerating an array list's elements.
WekaEnumeration(List<E>) - Constructor for class weka.core.WekaEnumeration
  Constructs an enumeration.
WekaEnumeration(List<E>, int) - Constructor for class weka.core.WekaEnumeration
  Constructs an enumeration with a special element.
WekaException - Exception in weka.core
  Class for Weka-specific exceptions.
WekaException() - Constructor for exception weka.core.WekaException
  Creates a new WekaException with no message.
WekaException(String) - Constructor for exception weka.core.WekaException
  Creates a new WekaException.
WekaException(String, Throwable) - Constructor for exception weka.core.WekaException
  Constructor with message and cause
WekaException(Throwable) - Constructor for exception weka.core.WekaException
  Constructor with cause argument
WekaOffscreenChartRenderer - Class in weka.gui.beans
  Default OffscreenChartRenderer that uses Weka's built-in chart and graph classes.
WekaOffscreenChartRenderer() - Constructor for class weka.gui.beans.WekaOffscreenChartRenderer
WekaPackageManager - Class in weka.core
  Class providing package management and manipulation routines.
WekaPackageManager() - Constructor for class weka.core.WekaPackageManager
wekaStaticWrapper(Sourcable, String) - Static method in class weka.classifiers.evaluation.Evaluation
  Wraps a static classifier in enough source to test using the weka class libraries.
wekaStaticWrapper(Sourcable, String) - Static method in class weka.classifiers.Evaluation
  Wraps a static classifier in enough source to test using the weka class libraries.
wekaStaticWrapper(Sourcable, String, Instances, Instances) - Static method in class weka.filters.Filter
  generates source code from the filter
WekaTaskMonitor - Class in weka.gui
  This panel records the number of weka tasks running and displays a simple bird animation while their are active tasks
WekaTaskMonitor() - Constructor for class weka.gui.WekaTaskMonitor
  Constructor
WekaWrapper - Interface in weka.gui.beans
  Interface to something that can wrap around a class of Weka algorithms (classifiers, filters etc).
WEST_CONNECTOR - Static variable in class weka.gui.beans.BeanVisual
whichSubset(Instance) - Method in class weka.classifiers.trees.j48.BinC45Split
  Returns index of subset instance is assigned to.
whichSubset(Instance) - Method in class weka.classifiers.trees.j48.C45Split
  Returns index of subset instance is assigned to.
whichSubset(Instance) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
  Returns index of subset instance is assigned to.
whichSubset(Instance) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
  Always returns 0 because only there is only one subset.
whichSubset(Instance) - Method in class weka.classifiers.trees.j48.NBTreeSplit
  Returns index of subset instance is assigned to.
whichSubset(Instance) - Method in class weka.classifiers.trees.j48.NoSplit
  Always returns 0 because only there is only one subset.
whichSubset(Instance) - Method in class weka.classifiers.trees.lmt.ResidualSplit
width() - Method in class weka.core.matrix.ExponentialFormat
width() - Method in class weka.core.matrix.FlexibleDecimalFormat
width() - Method in class weka.core.matrix.FloatingPointFormat
WIDTH - Static variable in class weka.core.neighboursearch.KDTree
  The index of WIDTH (MAX-MIN) value in attributes' range array.
WIDTH - Static variable in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
  Index of width value (max-min) in an array of attributes' range.
WIDTH - Static variable in class weka.gui.arffviewer.ArffViewerMainPanel
  default width
WIDTH - Static variable in class weka.gui.sql.SqlViewer
  the width property in the history file.
WIN_STRING - Variable in class weka.experiment.ResultMatrix
  win string.
windowActivated(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
  invoked when a window is activated
windowClosed(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
  invoked when a window is closed
windowClosing(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
  invoked when a window is in the process of closing
windowDeactivated(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
  invoked when a window is deactivated
windowDeiconified(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
  invoked when a window is deiconified
windowIconified(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
  invoked when a window is iconified
windowListChanged() - Method in class weka.gui.Main
  is called when window list changed somehow (add or remove).
windowOpened(WindowEvent) - Method in class weka.gui.arffviewer.ArffViewer
  invoked when a window is has been opened
windowSizeTipText() - Method in class weka.classifiers.lazy.IBk
  Returns the tip text for this property.
WITHIN_BATCH - Static variable in class weka.gui.beans.IncrementalClassifierEvent
WordsFromFile - Class in weka.core.stopwords
  Uses the stopwords located in the specified file (ignored _if pointing to a directory).
WordsFromFile() - Constructor for class weka.core.stopwords.WordsFromFile
wordsToKeepTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
  Returns the tip text for this property.
WordTokenizer - Class in weka.core.tokenizers
  A simple tokenizer that is using the java.util.StringTokenizer class to tokenize the strings.
WordTokenizer() - Constructor for class weka.core.tokenizers.WordTokenizer
WrapperSubsetEval - Class in weka.attributeSelection
  WrapperSubsetEval:
  Evaluates attribute sets by using a learning scheme.
WrapperSubsetEval() - Constructor for class weka.attributeSelection.WrapperSubsetEval
  Constructor.
write(Writer) - Method in class weka.classifiers.CostMatrix
  Writes out a matrix.
write(Instances) - Method in class weka.core.converters.ConverterUtils.DataSink
  writes the given data either via the saver or to the defined output stream (depending on the constructor).
write(String, Instances) - Static method in class weka.core.converters.ConverterUtils.DataSink
  writes the data to the given file.
write(Saver, Instances) - Static method in class weka.core.converters.ConverterUtils.DataSink
  writes the data via the given saver.
write(OutputStream, Instances) - Static method in class weka.core.converters.ConverterUtils.DataSink
  writes the data to the given stream (always in ARFF format).
write(Writer) - Method in class weka.core.matrix.Matrix
  Writes out a matrix.
write(Writer) - Method in class weka.core.Matrix
  Deprecated.
  Writes out a matrix.
write(String, Object) - Static method in class weka.core.SerializationHelper
  serializes the given object to the specified file.
write(OutputStream, Object) - Static method in class weka.core.SerializationHelper
  serializes the given object to the specified stream.
write(String) - Method in class weka.core.Stopwords
  Writes the current stopwords to the given file
write(File) - Method in class weka.core.Stopwords
  Writes the current stopwords to the given file
write(BufferedWriter) - Method in class weka.core.Stopwords
  Writes the current stopwords to the given writer.
write(byte[], int, int) - Method in class weka.core.Tee
  Writes `len` bytes from the specified byte array starting at offset `off` to this stream.
write(int) - Method in class weka.core.Tee
  Writes the specified byte to this stream.
write(String, Object) - Static method in class weka.core.xml.KOML
  writes the XML-serialized object to the given file
write(File, Object) - Static method in class weka.core.xml.KOML
  write the XML-serialized object to the given file
write(OutputStream, Object) - Static method in class weka.core.xml.KOML
  writes the XML-serialized object to a stream
write(String) - Method in class weka.core.xml.XMLDocument
  writes the current DOM document into the given file.
write(File) - Method in class weka.core.xml.XMLDocument
  writes the current DOM document into the given file.
write(OutputStream) - Method in class weka.core.xml.XMLDocument
  writes the current DOM document into the given stream.
write(Writer) - Method in class weka.core.xml.XMLDocument
  writes the current DOM document into the given writer.
write(String, Object) - Method in class weka.core.xml.XMLSerialization
  writes the given object into the file
write(File, Object) - Method in class weka.core.xml.XMLSerialization
  writes the given object into the file
write(OutputStream, Object) - Method in class weka.core.xml.XMLSerialization
  writes the given object into the stream
write(Writer, Object) - Method in class weka.core.xml.XMLSerialization
  writes the given object into the writer
write() - Method in class weka.core.xml.XMLSerializationMethodHandler
  returns the handler for write methods
write(String, Object) - Static method in class weka.core.xml.XStream
  writes the XML-serialized object to the given file
write(File, Object) - Static method in class weka.core.xml.XStream
  write the XML-serialized object to the given file
write(OutputStream, Object) - Static method in class weka.core.xml.XStream
  writes the XML-serialized object to the given output stream
write(Writer, Object) - Static method in class weka.core.xml.XStream
  writes the XML-serialized object to the given Writer.
write(String, Experiment) - Static method in class weka.experiment.Experiment
  Writes the experiment to disk.
writeAll(String, Object[]) - Static method in class weka.core.SerializationHelper
  serializes the given objects to the specified file.
writeAll(OutputStream, Object[]) - Static method in class weka.core.SerializationHelper
  serializes the given objects to the specified stream.
writeBatch() - Method in class weka.core.converters.AbstractSaver
  Writes to a file in batch mode To be overridden.
writeBatch() - Method in class weka.core.converters.ArffSaver
  Writes a Batch of instances
writeBatch() - Method in class weka.core.converters.C45Saver
  Writes a Batch of instances
writeBatch() - Method in class weka.core.converters.CSVSaver
  Writes a Batch of instances.
writeBatch() - Method in class weka.core.converters.DatabaseSaver
  Writes a Batch of instances.
writeBatch() - Method in class weka.core.converters.JSONSaver
  Writes a Batch of instances.
writeBatch() - Method in class weka.core.converters.LibSVMSaver
  Writes a Batch of instances
writeBatch() - Method in class weka.core.converters.MatlabSaver
  Writes a Batch of instances.
writeBatch() - Method in interface weka.core.converters.Saver
  Writes to a destination in batch mode
writeBatch() - Method in class weka.core.converters.SerializedInstancesSaver
  Writes a Batch of instances.
writeBatch() - Method in class weka.core.converters.SVMLightSaver
  Writes a Batch of instances.
writeBatch() - Method in class weka.core.converters.XRFFSaver
  Writes a Batch of instances
writeBeanConnection(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given BeanConncetion to a DOM structure.
writeBeanInstance(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given BeanInstance to a DOM structure.
writeBeanLoader(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given Loader (a bean) to a DOM structure.
writeBeanSaver(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given Saver (a bean) to a DOM structure.
writeBeanVisual(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given BeanVisual to a DOM structure.
writeCollection(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
  adds the given Collection to a DOM structure.
writeColor(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given Color to a DOM structure.
writeColorUIResource(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given ColorUIResource to a DOM structure.
writeCostMatrixOld(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
  adds the given CostMatrix (old) to a DOM structure.
writeCurve(String, Estimator, double, double, int) - Static method in class weka.estimators.EstimatorUtils
  Output of an n points of a density curve.
writeCurve(String, Estimator, Estimator, double, double, double, int) - Static method in class weka.estimators.EstimatorUtils
  Output of an n points of a density curve.
writeDefaultListModel(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
  adds the given DefaultListModel to a DOM structure.
writeDimension(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given Dimension to a DOM structure.
writeDOT(String, String, ArrayList<GraphNode>, ArrayList<GraphEdge>) - Static method in class weka.gui.graphvisualizer.DotParser
  This method saves a graph in a file in DOT format.
writeFont(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given Font to a DOM structure.
writeFontUIResource(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given FontUIResource to a DOM structure.
writeIncremental(Instance) - Method in class weka.core.converters.AbstractSaver
  Method for incremental saving.
writeIncremental(Instance) - Method in class weka.core.converters.ArffSaver
  Saves an instances incrementally.
writeIncremental(Instance) - Method in class weka.core.converters.C45Saver
  Saves an instances incrementally.
writeIncremental(Instance) - Method in class weka.core.converters.CSVSaver
  Saves an instances incrementally.
writeIncremental(Instance) - Method in class weka.core.converters.DatabaseSaver
  Saves an instances incrementally.
writeIncremental(Instance) - Method in class weka.core.converters.LibSVMSaver
  Saves an instances incrementally.
writeIncremental(Instance) - Method in class weka.core.converters.MatlabSaver
  Saves an instances incrementally.
writeIncremental(Instance) - Method in interface weka.core.converters.Saver
  Writes to a destination in incremental mode.
writeIncremental(Instance) - Method in class weka.core.converters.SVMLightSaver
  Saves an instances incrementally.
writeLoader(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given Loader to a DOM structure.
writeMap(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
  adds the given Map to a DOM structure.
writeMatrix(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
  adds the given Matrix to a DOM structure.
writeMatrixOld(Element, Object, String) - Method in class weka.core.xml.XMLBasicSerialization
  adds the given Matrix (old) to a DOM structure.
writeMetaBean(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given MetaBean to a DOM structure.
writePoint(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given Point to a DOM structure.
writePropertyNode(Element, Object, String) - Method in class weka.experiment.xml.XMLExperiment
  adds the given PropertyNode to a DOM structure.
writeSaver(Element, Object, String) - Method in class weka.gui.beans.xml.XMLBeans
  adds the given Saver to a DOM structure.
writeToFile(String, Object) - Static method in class weka.core.Debug
  Writes the given object to the specified file.
writeToFile(String, String) - Static method in class weka.core.Debug
  Writes the given message to the specified file.
writeToFile(String, Object, boolean) - Static method in class weka.core.Debug
  Writes the given object to the specified file.
writeToFile(String, String, boolean) - Static method in class weka.core.Debug
  Writes the given message to the specified file.
writeToXML(Element, Object, String) - Method in class weka.core.xml.XMLSerialization
  adds the given Object to a DOM structure.
writeXMLBIF03(String, String, ArrayList<GraphNode>, ArrayList<GraphEdge>) - Static method in class weka.gui.graphvisualizer.BIFParser
  This method writes a graph in XMLBIF ver.

## X

x - Variable in class weka.gui.graphvisualizer.GraphNode
  The x and y position of the node
X_SHAPE - Static variable in class weka.gui.visualize.Plot2D
XCoordinates - Class in weka.core.pmml.jaxbbindings
  Java class for XCoordinates element declaration.
XCoordinates() - Constructor for class weka.core.pmml.jaxbbindings.XCoordinates
xLabelFreqTipText() - Method in class weka.gui.beans.StripChart
  GUI Tip text
xlogx(int) - Static method in class weka.core.Utils
  Returns c*log2(c) for a given integer value c.
XML - Class in weka.classifiers.evaluation.output.prediction
  Outputs the predictions in XML.
  The following DTD is used:
  <!DOCTYPE predictions
  [
  <!ELEMENT predictions (prediction*)>
  <!ATTLIST predictions version CDATA "3.5.8">
  <!ATTLIST predictions name CDATA #REQUIRED>
  <!ELEMENT prediction ((actual_label,predicted_label,error,(prediction|distribution),attributes?)|(actual_value,predicted_value,error,attributes?))>
  <!ATTLIST prediction index CDATA #REQUIRED>
  <!ELEMENT actual_label ANY>
  <!ATTLIST actual_label index CDATA #REQUIRED>
  <!ELEMENT predicted_label ANY>
  <!ATTLIST predicted_label index CDATA #REQUIRED>
  <!ELEMENT error ANY>
  <!ELEMENT prediction ANY>
  <!ELEMENT distribution (class_label+)>
  <!ELEMENT class_label ANY>
  <!ATTLIST class_label index CDATA #REQUIRED>
  <!ATTLIST class_label predicted (yes|no) "no">
  <!ELEMENT actual_value ANY>
  <!ELEMENT predicted_value ANY>
  <!ELEMENT attributes (attribute+)>
  <!ELEMENT attribute ANY>
  <!ATTLIST attribute index CDATA #REQUIRED>
  <!ATTLIST attribute name CDATA #REQUIRED>
  <!ATTLIST attribute type (numeric|date|nominal|string|relational) #REQUIRED>
  ]
  >

  Valid options are:

XML() - Constructor for class weka.classifiers.evaluation.output.prediction.XML
XMLBasicSerialization - Class in weka.core.xml
  This serializer contains some read/write methods for common classes that are not beans-conform.
XMLBasicSerialization() - Constructor for class weka.core.xml.XMLBasicSerialization
  initializes the serialization
XMLBeans - Class in weka.gui.beans.xml
  This class serializes and deserializes a KnowledgeFlow setup to and fro XML.
XMLBeans(JComponent, BeanContextSupport, int) - Constructor for class weka.gui.beans.xml.XMLBeans
  initializes the serialization for layouts
XMLBeans(JComponent, BeanContextSupport, int, int) - Constructor for class weka.gui.beans.xml.XMLBeans
  initializes the serialization for different types of data
XMLClassifier - Class in weka.classifiers.xml
  This class serializes and deserializes a Classifier instance to and fro XML.
XMLClassifier() - Constructor for class weka.classifiers.xml.XMLClassifier
  initializes the serialization
XMLDocument - Class in weka.core.xml
  This class offers some methods for generating, reading and writing XML documents.
  It can only handle UTF-8.
XMLDocument() - Constructor for class weka.core.xml.XMLDocument
  initializes the factory with non-validating parser.
XMLDocument(String) - Constructor for class weka.core.xml.XMLDocument
  Creates a new instance of XMLDocument.
XMLDocument(File) - Constructor for class weka.core.xml.XMLDocument
  Creates a new instance of XMLDocument.
XMLDocument(InputStream) - Constructor for class weka.core.xml.XMLDocument
  Creates a new instance of XMLDocument.
XMLDocument(Reader) - Constructor for class weka.core.xml.XMLDocument
  Creates a new instance of XMLDocument.
XMLExperiment - Class in weka.experiment.xml
  This class serializes and deserializes an Experiment instance to and fro XML.
  It omits the `options` from the Experiment, since these are handled by the get/set-methods.
XMLExperiment() - Constructor for class weka.experiment.xml.XMLExperiment
  initializes the serialization
XMLFileBasedKFMetaStore - Class in weka.gui.beans
  A simple default implementation of KFMetaStore that uses Weka's XML serialization mechanism to persist entries as XML files in ${WEKA_HOME}/kfMetaStore
XMLFileBasedKFMetaStore() - Constructor for class weka.gui.beans.XMLFileBasedKFMetaStore
XMLInstances - Class in weka.core.xml
  XML representation of the Instances class.
XMLInstances() - Constructor for class weka.core.xml.XMLInstances
  the default constructor
XMLInstances(Instances) - Constructor for class weka.core.xml.XMLInstances
  generates the XML structure based on the given data
XMLInstances(Reader) - Constructor for class weka.core.xml.XMLInstances
  generates the Instances directly from the reader containing the XML data.
XMLOptions - Class in weka.core.xml
  A class for transforming options listed in XML to a regular WEKA command line string.
XMLOptions() - Constructor for class weka.core.xml.XMLOptions
  Creates a new instance of XMLOptions.
XMLOptions(String) - Constructor for class weka.core.xml.XMLOptions
  Creates a new instance of XMLOptions.
XMLOptions(File) - Constructor for class weka.core.xml.XMLOptions
  Creates a new instance of XMLOptions.
XMLOptions(InputStream) - Constructor for class weka.core.xml.XMLOptions
  Creates a new instance of XMLOptions.
XMLOptions(Reader) - Constructor for class weka.core.xml.XMLOptions
  Creates a new instance of XMLOptions.
XMLSerialization - Class in weka.core.xml
  With this class objects can be serialized to XML instead into a binary format.
XMLSerialization() - Constructor for class weka.core.xml.XMLSerialization
  initializes the serialization
XMLSerializationMethodHandler - Class in weka.core.xml
  This class handles relationships between display names of properties (or classes) and Methods that are associated with them.
XMLSerializationMethodHandler(Object) - Constructor for class weka.core.xml.XMLSerializationMethodHandler
  initializes the method handling, executes also `clear()`, which adds initial methods automatically.
XRFFLoader - Class in weka.core.converters
  Reads a source that is in the XML version of the ARFF format.
XRFFLoader() - Constructor for class weka.core.converters.XRFFLoader
XRFFSaver - Class in weka.core.converters
  Writes to a destination that is in the XML version of the ARFF format.
XRFFSaver() - Constructor for class weka.core.converters.XRFFSaver
  Constructor
xStats - Variable in class weka.experiment.PairedStats
  The stats associated with the data in column 1
XStream - Class in weka.core.xml
  This class is a helper class for XML serialization using XStream .
XStream() - Constructor for class weka.core.xml.XStream
XSTREAM - Static variable in class weka.gui.beans.SerializedModelSaver
xySum - Variable in class weka.experiment.PairedStats
  The sum of the products

## Y

y - Variable in class weka.gui.graphvisualizer.GraphNode
  The x and y position of the node
YCoordinates - Class in weka.core.pmml.jaxbbindings
  Java class for YCoordinates element declaration.
YCoordinates() - Constructor for class weka.core.pmml.jaxbbindings.YCoordinates
YongSplitInfo - Class in weka.classifiers.trees.m5
  Stores split information.
YongSplitInfo(int, int, int) - Constructor for class weka.classifiers.trees.m5.YongSplitInfo
  Constructs an object which contains the split information
yStats - Variable in class weka.experiment.PairedStats
  The stats associated with the data in column 2
yybegin(int) - Method in class weka.core.json.Scanner
  Enters a new lexical state
yybegin(int) - Method in class weka.core.mathematicalexpression.Scanner
  Enters a new lexical state
yybegin(int) - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  Enters a new lexical state
yycharat(int) - Method in class weka.core.json.Scanner
  Returns the character at position `pos` from the matched text.
yycharat(int) - Method in class weka.core.mathematicalexpression.Scanner
  Returns the character at position `pos` from the matched text.
yycharat(int) - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  Returns the character at position `pos` from the matched text.
yyclose() - Method in class weka.core.json.Scanner
  Closes the input stream.
yyclose() - Method in class weka.core.mathematicalexpression.Scanner
  Closes the input stream.
yyclose() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  Closes the input stream.
YYEOF - Static variable in class weka.core.json.Scanner
  This character denotes the end of file
YYEOF - Static variable in class weka.core.mathematicalexpression.Scanner
  This character denotes the end of file
YYEOF - Static variable in class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  This character denotes the end of file
YYINITIAL - Static variable in class weka.core.json.Scanner
YYINITIAL - Static variable in class weka.core.mathematicalexpression.Scanner
  lexical states
YYINITIAL - Static variable in class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
yylength() - Method in class weka.core.json.Scanner
  Returns the length of the matched text region.
yylength() - Method in class weka.core.mathematicalexpression.Scanner
  Returns the length of the matched text region.
yylength() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  Returns the length of the matched text region.
yypushback(int) - Method in class weka.core.json.Scanner
  Pushes the specified amount of characters back into the input stream.
yypushback(int) - Method in class weka.core.mathematicalexpression.Scanner
  Pushes the specified amount of characters back into the input stream.
yypushback(int) - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  Pushes the specified amount of characters back into the input stream.
yyreset(Reader) - Method in class weka.core.json.Scanner
  Resets the scanner to read from a new input stream.
yyreset(Reader) - Method in class weka.core.mathematicalexpression.Scanner
  Resets the scanner to read from a new input stream.
yyreset(Reader) - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  Resets the scanner to read from a new input stream.
yystate() - Method in class weka.core.json.Scanner
  Returns the current lexical state.
yystate() - Method in class weka.core.mathematicalexpression.Scanner
  Returns the current lexical state.
yystate() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  Returns the current lexical state.
yytext() - Method in class weka.core.json.Scanner
  Returns the text matched by the current regular expression.
yytext() - Method in class weka.core.mathematicalexpression.Scanner
  Returns the text matched by the current regular expression.
yytext() - Method in class weka.filters.unsupervised.instance.subsetbyexpression.Scanner
  Returns the text matched by the current regular expression.

## Z

ZeroR - Class in weka.classifiers.rules
  Class for building and using a 0-R classifier.
ZeroR() - Constructor for class weka.classifiers.rules.ZeroR
zipit(String, String) - Method in class weka.experiment.OutputZipper
  Saves a string to either an individual gzipped file or as an entry in a zip file.
ZMaxTipText() - Method in class weka.classifiers.meta.LogitBoost
  Returns the tip text for this property

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z