Package 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:
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:

  • Constructor Details

    • ICSSearchAlgorithm

      public ICSSearchAlgorithm()

  • Method Details

    • 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 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(String[] options) throws 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:
      Exception - if an option is not supported

    • getOptions

      public 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 String maxCardinalityTipText()
      Returns:
      a string to describe the MaxCardinality option.

    • globalInfo

      public String globalInfo()
      This will return a string describing the search algorithm.
      Overrides:
      globalInfo in class CISearchAlgorithm
      Returns:
      The string.

    • getRevision

      public 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(String[] argv)
      for testing the class
      Parameters:
      argv - the commandline parameters