weka.classifiers.bayes.net.search.ci

## Class ICSSearchAlgorithm

- java.lang.Object
- - weka.classifiers.bayes.net.search.SearchAlgorithm
  - - weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
    - - weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
      - - weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm

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

      public class ICSSearchAlgorithm
      extends CISearchAlgorithm

  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.

  Valid options are:

       -cardinality <num>
        When determining whether an edge exists a search is performed
        for a set Z that separates the nodes. MaxCardinality determines
        the maximum size of the set Z. This greatly influences the
        length of the search. (default 2)

       -mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.

       -S [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
        Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

  Version:
    $Revision: 10154 $
  Author:
    Remco Bouckaert
  See Also:
    Serialized Form

- - ### Field Summary

    - ### Fields inherited from class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm

      `TAGS_SCORE_TYPE`

  - ### Constructor Summary

    Constructors
    Constructor and Description
    `ICSSearchAlgorithm()`

  - ### Method Summary

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `int` | `getMaxCardinality()` returns the max cardinality
    `java.lang.String[]` | `getOptions()` Gets the current settings of the Classifier.
    `java.lang.String` | `getRevision()` Returns the revision string.
    `java.lang.String` | `globalInfo()` This will return a string describing the search algorithm.
    `java.util.Enumeration<Option>` | `listOptions()` Returns an enumeration describing the available options.
    `static void` | `main(java.lang.String[] argv)` for testing the class
    `java.lang.String` | `maxCardinalityTipText()`
    `void` | `setMaxCardinality(int nMaxCardinality)` sets the cardinality
    `void` | `setOptions(java.lang.String[] options)` Parses a given list of options.

    - ### Methods inherited from class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm

      `buildStructure, calcNodeScore, calcScoreWithExtraParent, calcScoreWithMissingParent, getMarkovBlanketClassifier, getScoreType, logScore, markovBlanketClassifierTipText, scoreTypeTipText, setMarkovBlanketClassifier, setScoreType`

    - ### Methods inherited from class weka.classifiers.bayes.net.search.SearchAlgorithm

      `initAsNaiveBayesTipText, maxNrOfParentsTipText, toString`

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

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

- - ### Constructor Detail

    - #### ICSSearchAlgorithm

          public ICSSearchAlgorithm()

  - ### Method Detail

    - #### setMaxCardinality

          public void setMaxCardinality(int nMaxCardinality)

      sets the cardinality
      Parameters:
        `nMaxCardinality` - the max cardinality

    - #### getMaxCardinality

          public int getMaxCardinality()

      returns the max cardinality
      Returns:
        the max cardinality

    - #### listOptions

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

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

    - #### setOptions

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

      Parses a given list of options.

      Valid options are:

           -cardinality <num>
            When determining whether an edge exists a search is performed
            for a set Z that separates the nodes. MaxCardinality determines
            the maximum size of the set Z. This greatly influences the
            length of the search. (default 2)

           -mbc
            Applies a Markov Blanket correction to the network structure,
            after a network structure is learned. This ensures that all
            nodes in the network are part of the Markov blanket of the
            classifier node.

           -S [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
            Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

      Specified by:
        `setOptions` in interface `OptionHandler`
      Overrides:
        `setOptions` in class `LocalScoreSearchAlgorithm`
      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 Classifier.
      Specified by:
        `getOptions` in interface `OptionHandler`
      Overrides:
        `getOptions` in class `LocalScoreSearchAlgorithm`
      Returns:
        an array of strings suitable for passing to setOptions

    - #### maxCardinalityTipText

          public java.lang.String maxCardinalityTipText()

      Returns:
        a string to describe the MaxCardinality option.

    - #### globalInfo

          public java.lang.String globalInfo()

      This will return a string describing the search algorithm.
      Overrides:
        `globalInfo` in class `CISearchAlgorithm`
      Returns:
        The string.

    - #### getRevision

          public java.lang.String getRevision()

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

    - #### main

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

      for testing the class
      Parameters:
        `argv` - the commandline parameters