Class ICSSearchAlgorithm
- java.lang.Object
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- weka.classifiers.bayes.net.search.SearchAlgorithm
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- weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
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- weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
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- weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
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- 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
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Field Summary
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Fields inherited from class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
TAGS_SCORE_TYPE
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Constructor Summary
Constructors Constructor Description ICSSearchAlgorithm()
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description int
getMaxCardinality()
returns the max cardinalityjava.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 classjava.lang.String
maxCardinalityTipText()
void
setMaxCardinality(int nMaxCardinality)
sets the cardinalityvoid
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
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Methods inherited from class weka.classifiers.bayes.net.search.SearchAlgorithm
initAsNaiveBayesTipText, maxNrOfParentsTipText, toString
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Method Detail
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setMaxCardinality
public void setMaxCardinality(int nMaxCardinality)
sets the cardinality- Parameters:
nMaxCardinality
- the max cardinality
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getMaxCardinality
public int getMaxCardinality()
returns the max cardinality- Returns:
- the max cardinality
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listOptions
public java.util.Enumeration listOptions()
Returns an enumeration describing the available options.- Specified by:
listOptions
in interfaceOptionHandler
- Overrides:
listOptions
in classLocalScoreSearchAlgorithm
- Returns:
- an enumeration of all the available options.
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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 interfaceOptionHandler
- Overrides:
setOptions
in classLocalScoreSearchAlgorithm
- Parameters:
options
- the list of options as an array of strings- Throws:
java.lang.Exception
- if an option is not supported
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getOptions
public java.lang.String[] getOptions()
Gets the current settings of the Classifier.- Specified by:
getOptions
in interfaceOptionHandler
- Overrides:
getOptions
in classLocalScoreSearchAlgorithm
- Returns:
- an array of strings suitable for passing to setOptions
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maxCardinalityTipText
public java.lang.String maxCardinalityTipText()
- Returns:
- a string to describe the MaxCardinality option.
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globalInfo
public java.lang.String globalInfo()
This will return a string describing the search algorithm.- Overrides:
globalInfo
in classCISearchAlgorithm
- Returns:
- The string.
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getRevision
public java.lang.String getRevision()
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Overrides:
getRevision
in classCISearchAlgorithm
- Returns:
- the revision
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main
public static void main(java.lang.String[] argv)
for testing the class- Parameters:
argv
- the commandline parameters
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