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java.lang.Objectweka.classifiers.bayes.net.search.SearchAlgorithm
weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
weka.classifiers.bayes.net.search.local.HillClimber
weka.classifiers.bayes.net.search.local.RepeatedHillClimber
public class RepeatedHillClimber
This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and return the best structure of the various runs.
Valid options are:-U <integer> Number of runs
-A <seed> Random number seed
-P <nr of parents> Maximum number of parents
-R Use arc reversal operation. (default false)
-N Initial structure is empty (instead of Naive Bayes)
-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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RepeatedHillClimber()
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Method Summary | |
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java.lang.String[] |
getOptions()
Gets the current settings of the search algorithm. |
int |
getRuns()
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int |
getSeed()
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java.lang.String |
globalInfo()
This will return a string describing the classifier. |
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options. |
java.lang.String |
runsTipText()
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java.lang.String |
seedTipText()
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void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
void |
setRuns(int nRuns)
Sets the number of runs |
void |
setSeed(int nSeed)
Sets the random number seed |
Methods inherited from class weka.classifiers.bayes.net.search.local.HillClimber |
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getInitAsNaiveBayes, getMaxNrOfParents, getUseArcReversal, setInitAsNaiveBayes, setMaxNrOfParents, setUseArcReversal, useArcReversalTipText |
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 RepeatedHillClimber()
Method Detail |
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public int getRuns()
public void setRuns(int nRuns)
nRuns
- The number of runs to setpublic int getSeed()
public void setSeed(int nSeed)
nSeed
- The number of the seed to setpublic java.util.Enumeration listOptions()
listOptions
in interface OptionHandler
listOptions
in class HillClimber
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-U <integer> Number of runs
-A <seed> Random number seed
-P <nr of parents> Maximum number of parents
-R Use arc reversal operation. (default false)
-N Initial structure is empty (instead of Naive Bayes)
-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 HillClimber
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 HillClimber
public java.lang.String globalInfo()
globalInfo
in class HillClimber
public java.lang.String runsTipText()
public java.lang.String seedTipText()
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