public class LAGDHillClimber extends HillClimber
-L <nr of look ahead steps> Look Ahead Depth
-G <nr of good operations> Nr of Good Operations
-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)
TAGS_SCORE_TYPE
Constructor and Description |
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LAGDHillClimber() |
Modifier and Type | Method and Description |
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int |
getMaxNrOfParents()
Gets the max number of parents.
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int |
getNrOfGoodOperations()
Gets the number of "good operations"
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int |
getNrOfLookAheadSteps()
Gets the number of look-ahead steps
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String[] |
getOptions()
Gets the current settings of the search algorithm.
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String |
getRevision()
Returns the revision string.
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String |
globalInfo()
This will return a string describing the search algorithm.
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Enumeration |
listOptions()
Returns an enumeration describing the available options.
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String |
nrOfGoodOperationsTipText() |
String |
nrOfLookAheadStepsTipText() |
void |
setMaxNrOfParents(int nMaxNrOfParents)
Sets the max number of parents
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void |
setNrOfGoodOperations(int nNrOfGoodOperations)
Sets the number of "good operations"
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void |
setNrOfLookAheadSteps(int nNrOfLookAheadSteps)
Sets the number of look-ahead steps
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void |
setOptions(String[] options)
Parses a given list of options.
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getInitAsNaiveBayes, getUseArcReversal, setInitAsNaiveBayes, setUseArcReversal, useArcReversalTipText
buildStructure, calcNodeScore, calcScoreWithExtraParent, calcScoreWithMissingParent, getMarkovBlanketClassifier, getScoreType, logScore, markovBlanketClassifierTipText, scoreTypeTipText, setMarkovBlanketClassifier, setScoreType
initAsNaiveBayesTipText, maxNrOfParentsTipText, toString
public void setMaxNrOfParents(int nMaxNrOfParents)
setMaxNrOfParents
in class HillClimber
nMaxNrOfParents
- the max number of parentspublic int getMaxNrOfParents()
getMaxNrOfParents
in class HillClimber
public void setNrOfLookAheadSteps(int nNrOfLookAheadSteps)
nNrOfLookAheadSteps
- the number of look-ahead stepspublic int getNrOfLookAheadSteps()
public void setNrOfGoodOperations(int nNrOfGoodOperations)
nNrOfGoodOperations
- the number of "good operations"public int getNrOfGoodOperations()
public Enumeration listOptions()
listOptions
in interface OptionHandler
listOptions
in class HillClimber
public void setOptions(String[] options) throws Exception
Valid options are:
-L <nr of look ahead steps> Look Ahead Depth
-G <nr of good operations> Nr of Good Operations
-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 stringsException
- if an option is not supportedpublic String[] getOptions()
getOptions
in interface OptionHandler
getOptions
in class HillClimber
public String globalInfo()
globalInfo
in class HillClimber
public String nrOfLookAheadStepsTipText()
public String nrOfGoodOperationsTipText()
public String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class HillClimber
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