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

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

Methods inherited from interface weka.core.OptionHandler

makeCopy

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