public class HillClimber extends GlobalScoreSearchAlgorithm
-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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HillClimber() |
Modifier and Type | Method and Description |
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boolean |
getInitAsNaiveBayes()
Gets whether to init as naive bayes
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int |
getMaxNrOfParents()
Gets the max number of parents.
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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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boolean |
getUseArcReversal()
get use the arc reversal operation
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java.lang.String |
globalInfo()
This will return a string describing the search algorithm.
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java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options.
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void |
setInitAsNaiveBayes(boolean bInitAsNaiveBayes)
Sets whether to init as naive bayes
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void |
setMaxNrOfParents(int nMaxNrOfParents)
Sets the max number of parents
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void |
setOptions(java.lang.String[] options)
Parses a given list of options.
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void |
setUseArcReversal(boolean bUseArcReversal)
set use the arc reversal operation
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java.lang.String |
useArcReversalTipText() |
calcScore, calcScoreWithExtraParent, calcScoreWithMissingParent, calcScoreWithReversedParent, cumulativeCV, CVTypeTipText, getCVType, getMarkovBlanketClassifier, getUseProb, kFoldCV, leaveOneOutCV, markovBlanketClassifierTipText, setCVType, setMarkovBlanketClassifier, setUseProb, useProbTipText
buildStructure, initAsNaiveBayesTipText, maxNrOfParentsTipText, toString
public void setMaxNrOfParents(int nMaxNrOfParents)
nMaxNrOfParents
- the max number of parentspublic int getMaxNrOfParents()
public java.util.Enumeration listOptions()
listOptions
in interface OptionHandler
listOptions
in class GlobalScoreSearchAlgorithm
public void setOptions(java.lang.String[] options) throws java.lang.Exception
-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 GlobalScoreSearchAlgorithm
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 GlobalScoreSearchAlgorithm
public void setInitAsNaiveBayes(boolean bInitAsNaiveBayes)
bInitAsNaiveBayes
- whether to init as naive bayespublic boolean getInitAsNaiveBayes()
public boolean getUseArcReversal()
public void setUseArcReversal(boolean bUseArcReversal)
bUseArcReversal
- whether the arc reversal operation should be usedpublic java.lang.String globalInfo()
globalInfo
in class GlobalScoreSearchAlgorithm
public java.lang.String useArcReversalTipText()
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class GlobalScoreSearchAlgorithm