public class RepeatedHillClimber extends HillClimber
-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 [LOO-CV|k-Fold-CV|Cumulative-CV] Score type (LOO-CV,k-Fold-CV,Cumulative-CV)
-Q Use probabilistic or 0/1 scoring. (default probabilistic scoring)
TAGS_CV_TYPE
Constructor and Description |
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RepeatedHillClimber() |
Modifier and Type | Method and Description |
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java.lang.String[] |
getOptions()
Gets the current settings of the search algorithm.
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java.lang.String |
getRevision()
Returns the revision string.
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int |
getRuns()
Returns the number of runs
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int |
getSeed()
Returns the random seed
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java.lang.String |
globalInfo()
This will return a string describing the classifier.
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java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options.
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java.lang.String |
runsTipText() |
java.lang.String |
seedTipText() |
void |
setOptions(java.lang.String[] options)
Parses a given list of options.
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void |
setRuns(int nRuns)
Sets the number of runs
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void |
setSeed(int nSeed)
Sets the random number seed
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getInitAsNaiveBayes, getMaxNrOfParents, getUseArcReversal, setInitAsNaiveBayes, setMaxNrOfParents, setUseArcReversal, useArcReversalTipText
calcScore, calcScoreWithExtraParent, calcScoreWithMissingParent, calcScoreWithReversedParent, cumulativeCV, CVTypeTipText, getCVType, getMarkovBlanketClassifier, getUseProb, kFoldCV, leaveOneOutCV, markovBlanketClassifierTipText, setCVType, setMarkovBlanketClassifier, setUseProb, useProbTipText
buildStructure, initAsNaiveBayesTipText, maxNrOfParentsTipText, toString
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 [LOO-CV|k-Fold-CV|Cumulative-CV] Score type (LOO-CV,k-Fold-CV,Cumulative-CV)
-Q Use probabilistic or 0/1 scoring. (default probabilistic scoring)
setOptions
in interface OptionHandler
setOptions
in class HillClimber
options
- the list of options as an array of stringsjava.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()
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class HillClimber