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java.lang.Objectweka.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
public class ICSSearchAlgorithm
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)
Field Summary |
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Fields inherited from class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm |
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TAGS_SCORE_TYPE |
Constructor Summary | |
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ICSSearchAlgorithm()
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Method Summary | |
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int |
getMaxCardinality()
returns the max cardinality |
java.lang.String[] |
getOptions()
Gets the current settings of the Classifier. |
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()
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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 |
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buildStructure, calcNodeScore, calcScoreWithExtraParent, calcScoreWithMissingParent, getMarkovBlanketClassifier, getScoreType, logScore, markovBlanketClassifierTipText, scoreTypeTipText, setMarkovBlanketClassifier, setScoreType |
Methods inherited from class weka.classifiers.bayes.net.search.SearchAlgorithm |
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initAsNaiveBayesTipText, maxNrOfParentsTipText, toString |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public ICSSearchAlgorithm()
Method Detail |
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public void setMaxCardinality(int nMaxCardinality)
nMaxCardinality
- the max cardinalitypublic int getMaxCardinality()
public java.util.Enumeration listOptions()
listOptions
in interface OptionHandler
listOptions
in class LocalScoreSearchAlgorithm
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-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)
setOptions
in interface OptionHandler
setOptions
in class LocalScoreSearchAlgorithm
options
- the list of options as an array of strings
java.lang.Exception
- if an option is not supportedpublic java.lang.String[] getOptions()
getOptions
in interface OptionHandler
getOptions
in class LocalScoreSearchAlgorithm
public java.lang.String maxCardinalityTipText()
public java.lang.String globalInfo()
globalInfo
in class CISearchAlgorithm
public static void main(java.lang.String[] argv)
argv
- the commandline parameters
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