weka.datagenerators.classifiers.classification

## Class Agrawal

- java.lang.Object
- - weka.datagenerators.DataGenerator
  - - weka.datagenerators.ClassificationGenerator
    - - weka.datagenerators.classifiers.classification.Agrawal

- All Implemented Interfaces:
    java.io.Serializable, OptionHandler, Randomizable, RevisionHandler, TechnicalInformationHandler

      public class Agrawal
      extends ClassificationGenerator
      implements TechnicalInformationHandler

  Generates a people database and is based on the paper by Agrawal et al.:
  R. Agrawal, T. Imielinski, A. Swami (1993). Database Mining: A Performance Perspective. IEEE Transactions on Knowledge and Data Engineering. 5(6):914-925. URL http://www.almaden.ibm.com/software/quest/Publications/ByDate.html.

  BibTeX:

       @article{Agrawal1993,
          author = {R. Agrawal and T. Imielinski and A. Swami},
          journal = {IEEE Transactions on Knowledge and Data Engineering},
          note = {Special issue on Learning and Discovery in Knowledge-Based Databases},
          number = {6},
          pages = {914-925},
          title = {Database Mining: A Performance Perspective},
          volume = {5},
          year = {1993},
          URL = {http://www.almaden.ibm.com/software/quest/Publications/ByDate.html},
          PDF = {http://www.almaden.ibm.com/software/quest/Publications/papers/tkde93.pdf}
       }

  Valid options are:

       -h
        Prints this help.

       -o <file>
        The name of the output file, otherwise the generated data is
        printed to stdout.

       -r <name>
        The name of the relation.

       -d
        Whether to print debug informations.

       -S
        The seed for random function (default 1)

       -n <num>
        The number of examples to generate (default 100)

       -F <num>
        The function to use for generating the data. (default 1)

       -B
        Whether to balance the class.

       -P <num>
        The perturbation factor. (default 0.05)

  Version:
    $Revision: 10203 $
  Author:
    Richard Kirkby (rkirkby at cs dot waikato dot ac dot nz), FracPete (fracpete at waikato dot ac dot nz)
  See Also:
    Serialized Form

- - ### Field Summary

    Fields
    Modifier and Type | Field and Description
    --- | ---
    `static int` | `FUNCTION_1` function 1
    `static int` | `FUNCTION_10` function 10
    `static int` | `FUNCTION_2` function 2
    `static int` | `FUNCTION_3` function 3
    `static int` | `FUNCTION_4` function 4
    `static int` | `FUNCTION_5` function 5
    `static int` | `FUNCTION_6` function 6
    `static int` | `FUNCTION_7` function 7
    `static int` | `FUNCTION_8` function 8
    `static int` | `FUNCTION_9` function 9
    `static Tag[]` | `FUNCTION_TAGS` the funtion tags

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `Agrawal()` initializes the generator with default values

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `java.lang.String` | `balanceClassTipText()` Returns the tip text for this property
    `Instances` | `defineDataFormat()` Initializes the format for the dataset produced.
    `java.lang.String` | `functionTipText()` Returns the tip text for this property
    `Instance` | `generateExample()` Generates one example of the dataset.
    `Instances` | `generateExamples()` Generates all examples of the dataset.
    `java.lang.String` | `generateFinished()` Generates a comment string that documentats the data generator.
    `java.lang.String` | `generateStart()` Generates a comment string that documentates the data generator.
    `boolean` | `getBalanceClass()` Gets whether the class is balanced.
    `SelectedTag` | `getFunction()` Gets the function for generating the data.
    `java.lang.String[]` | `getOptions()` Gets the current settings of the datagenerator.
    `double` | `getPerturbationFraction()` Gets the perturbation fraction.
    `java.lang.String` | `getRevision()` Returns the revision string.
    `boolean` | `getSingleModeFlag()` Return if single mode is set for the given data generator mode depends on option setting and or generator type.
    `TechnicalInformation` | `getTechnicalInformation()` 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.
    `java.lang.String` | `globalInfo()` Returns a string describing this data generator.
    `java.util.Enumeration<Option>` | `listOptions()` Returns an enumeration describing the available options.
    `static void` | `main(java.lang.String[] args)` Main method for executing this class.
    `java.lang.String` | `perturbationFractionTipText()` Returns the tip text for this property
    `void` | `setBalanceClass(boolean value)` Sets whether the class is balanced.
    `void` | `setFunction(SelectedTag value)` Sets the function for generating the data.
    `void` | `setOptions(java.lang.String[] options)` Parses a list of options for this object.
    `void` | `setPerturbationFraction(double value)` Sets the perturbation fraction.

    - ### Methods inherited from class weka.datagenerators.ClassificationGenerator

      `getNumExamples, numExamplesTipText, setNumExamples`

    - ### Methods inherited from class weka.datagenerators.DataGenerator

      `debugTipText, defaultOutput, enumToVector, formatTipText, getDatasetFormat, getDebug, getNumExamplesAct, getOutput, getRandom, getRelationName, getSeed, makeData, outputTipText, randomTipText, relationNameTipText, runDataGenerator, seedTipText, setDatasetFormat, setDebug, setOutput, setRandom, setRelationName, setSeed`

    - ### Methods inherited from class java.lang.Object

      `equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Field Detail

    - #### FUNCTION_1

          public static final int FUNCTION_1

      function 1
      See Also:
        Constant Field Values

    - #### FUNCTION_2

          public static final int FUNCTION_2

      function 2
      See Also:
        Constant Field Values

    - #### FUNCTION_3

          public static final int FUNCTION_3

      function 3
      See Also:
        Constant Field Values

    - #### FUNCTION_4

          public static final int FUNCTION_4

      function 4
      See Also:
        Constant Field Values

    - #### FUNCTION_5

          public static final int FUNCTION_5

      function 5
      See Also:
        Constant Field Values

    - #### FUNCTION_6

          public static final int FUNCTION_6

      function 6
      See Also:
        Constant Field Values

    - #### FUNCTION_7

          public static final int FUNCTION_7

      function 7
      See Also:
        Constant Field Values

    - #### FUNCTION_8

          public static final int FUNCTION_8

      function 8
      See Also:
        Constant Field Values

    - #### FUNCTION_9

          public static final int FUNCTION_9

      function 9
      See Also:
        Constant Field Values

    - #### FUNCTION_10

          public static final int FUNCTION_10

      function 10
      See Also:
        Constant Field Values

    - #### FUNCTION_TAGS

          public static final Tag[] FUNCTION_TAGS

      the funtion tags

  - ### Constructor Detail

    - #### Agrawal

          public Agrawal()

      initializes the generator with default values

  - ### Method Detail

    - #### globalInfo

          public java.lang.String globalInfo()

      Returns a string describing this data generator.
      Returns:
        a description of the data generator suitable for displaying in the explorer/experimenter gui

    - #### getTechnicalInformation

          public TechnicalInformation getTechnicalInformation()

      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.
      Specified by:
        `getTechnicalInformation` in interface `TechnicalInformationHandler`
      Returns:
        the technical information about this class

    - #### listOptions

          public java.util.Enumeration<Option> listOptions()

      Returns an enumeration describing the available options.
      Specified by:
        `listOptions` in interface `OptionHandler`
      Overrides:
        `listOptions` in class `ClassificationGenerator`
      Returns:
        an enumeration of all the available options

    - #### setOptions

          public void setOptions(java.lang.String[] options)
                          throws java.lang.Exception

      Parses a list of options for this object.

      Valid options are:

           -h
            Prints this help.

           -o <file>
            The name of the output file, otherwise the generated data is
            printed to stdout.

           -r <name>
            The name of the relation.

           -d
            Whether to print debug informations.

           -S
            The seed for random function (default 1)

           -n <num>
            The number of examples to generate (default 100)

           -F <num>
            The function to use for generating the data. (default 1)

           -B
            Whether to balance the class.

           -P <num>
            The perturbation factor. (default 0.05)

      Specified by:
        `setOptions` in interface `OptionHandler`
      Overrides:
        `setOptions` in class `ClassificationGenerator`
      Parameters:
        `options` - the list of options as an array of strings
      Throws:
        `java.lang.Exception` - if an option is not supported

    - #### getOptions

          public java.lang.String[] getOptions()

      Gets the current settings of the datagenerator.
      Specified by:
        `getOptions` in interface `OptionHandler`
      Overrides:
        `getOptions` in class `ClassificationGenerator`
      Returns:
        an array of strings suitable for passing to setOptions
      See Also:
        `DataGenerator.removeBlacklist(String[])`

    - #### getFunction

          public SelectedTag getFunction()

      Gets the function for generating the data.
      Returns:
        the function.
      See Also:
        `FUNCTION_TAGS`

    - #### setFunction

          public void setFunction(SelectedTag value)

      Sets the function for generating the data.
      Parameters:
        `value` - the function.
      See Also:
        `FUNCTION_TAGS`

    - #### functionTipText

          public java.lang.String functionTipText()

      Returns the tip text for this property
      Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

    - #### getBalanceClass

          public boolean getBalanceClass()

      Gets whether the class is balanced.
      Returns:
        whether the class is balanced.

    - #### setBalanceClass

          public void setBalanceClass(boolean value)

      Sets whether the class is balanced.
      Parameters:
        `value` - whether to balance the class.

    - #### balanceClassTipText

          public java.lang.String balanceClassTipText()

      Returns the tip text for this property
      Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

    - #### getPerturbationFraction

          public double getPerturbationFraction()

      Gets the perturbation fraction.
      Returns:
        the perturbation fraction.

    - #### setPerturbationFraction

          public void setPerturbationFraction(double value)

      Sets the perturbation fraction.
      Parameters:
        `value` - the perturbation fraction.

    - #### perturbationFractionTipText

          public java.lang.String perturbationFractionTipText()

      Returns the tip text for this property
      Returns:
        tip text for this property suitable for displaying in the explorer/experimenter gui

    - #### getSingleModeFlag

          public boolean getSingleModeFlag()
                                    throws java.lang.Exception

      Return if single mode is set for the given data generator mode depends on option setting and or generator type.
      Specified by:
        `getSingleModeFlag` in class `DataGenerator`
      Returns:
        single mode flag
      Throws:
        `java.lang.Exception` - if mode is not set yet

    - #### defineDataFormat

          public Instances defineDataFormat()
                                     throws java.lang.Exception

      Initializes the format for the dataset produced. Must be called before the generateExample or generateExamples methods are used. Re-initializes the random number generator with the given seed.
      Overrides:
        `defineDataFormat` in class `DataGenerator`
      Returns:
        the format for the dataset
      Throws:
        `java.lang.Exception` - if the generating of the format failed
      See Also:
        `DataGenerator.getSeed()`

    - #### generateExample

          public Instance generateExample()
                                   throws java.lang.Exception

      Generates one example of the dataset.
      Specified by:
        `generateExample` in class `DataGenerator`
      Returns:
        the generated example
      Throws:
        `java.lang.Exception` - if the format of the dataset is not yet defined
        `java.lang.Exception` - if the generator only works with generateExamples which means in non single mode

    - #### generateExamples

          public Instances generateExamples()
                                     throws java.lang.Exception

      Generates all examples of the dataset. Re-initializes the random number generator with the given seed, before generating instances.
      Specified by:
        `generateExamples` in class `DataGenerator`
      Returns:
        the generated dataset
      Throws:
        `java.lang.Exception` - if the format of the dataset is not yet defined
        `java.lang.Exception` - if the generator only works with generateExample, which means in single mode
      See Also:
        `DataGenerator.getSeed()`

    - #### generateStart

          public java.lang.String generateStart()

      Generates a comment string that documentates the data generator. By default this string is added at the beginning of the produced output as ARFF file type, next after the options.
      Specified by:
        `generateStart` in class `DataGenerator`
      Returns:
        string contains info about the generated rules

    - #### generateFinished

          public java.lang.String generateFinished()
                                            throws java.lang.Exception

      Generates a comment string that documentats the data generator. By default this string is added at the end of theproduces output as ARFF file type.
      Specified by:
        `generateFinished` in class `DataGenerator`
      Returns:
        string contains info about the generated rules
      Throws:
        `java.lang.Exception` - if the generating of the documentaion fails

    - #### getRevision

          public java.lang.String getRevision()

      Returns the revision string.
      Specified by:
        `getRevision` in interface `RevisionHandler`
      Returns:
        the revision

    - #### main

          public static void main(java.lang.String[] args)

      Main method for executing this class.
      Parameters:
        `args` - should contain arguments for the data producer: