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## 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: 1.8 $
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
`ICSSearchAlgorithm()`

Method Summary
`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` | `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 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

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