类 LAGDHillClimber
java.lang.Object
weka.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.LAGDHillClimber
- 所有已实现的接口:
Serializable
,OptionHandler
,RevisionHandler
This Bayes Network learning algorithm uses a Look Ahead Hill Climbing algorithm called LAGD Hill Climbing. Unlike Greedy Hill Climbing it doesn't calculate a best greedy operation (adding, deleting or reversing an arc) but a sequence of nrOfLookAheadSteps operations, which leads to a network structure whose score is most likely higher in comparison to the network obtained by performing a sequence of nrOfLookAheadSteps greedy operations. The search is not restricted by an order on the variables (unlike K2). The difference with B and B2 is that this hill climber also considers arrows part of the naive Bayes structure for deletion.
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)
- 版本:
- $Revision: 1.7 $
- 作者:
- Manuel Neubach
- 另请参阅:
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字段概要
从类继承的字段 weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
TAGS_SCORE_TYPE
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构造器概要
构造器 -
方法概要
修饰符和类型方法说明int
Gets the max number of parents.int
Gets the number of "good operations"int
Gets the number of look-ahead stepsString[]
Gets the current settings of the search algorithm.Returns the revision string.This will return a string describing the search algorithm.Returns an enumeration describing the available options.void
setMaxNrOfParents
(int nMaxNrOfParents) Sets the max number of parentsvoid
setNrOfGoodOperations
(int nNrOfGoodOperations) Sets the number of "good operations"void
setNrOfLookAheadSteps
(int nNrOfLookAheadSteps) Sets the number of look-ahead stepsvoid
setOptions
(String[] options) Parses a given list of options.从类继承的方法 weka.classifiers.bayes.net.search.local.HillClimber
getInitAsNaiveBayes, getUseArcReversal, setInitAsNaiveBayes, setUseArcReversal, useArcReversalTipText
从类继承的方法 weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
buildStructure, calcNodeScore, calcScoreWithExtraParent, calcScoreWithMissingParent, getMarkovBlanketClassifier, getScoreType, logScore, markovBlanketClassifierTipText, scoreTypeTipText, setMarkovBlanketClassifier, setScoreType
从类继承的方法 weka.classifiers.bayes.net.search.SearchAlgorithm
initAsNaiveBayesTipText, maxNrOfParentsTipText, toString
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构造器详细资料
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LAGDHillClimber
public LAGDHillClimber()
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方法详细资料
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setMaxNrOfParents
public void setMaxNrOfParents(int nMaxNrOfParents) Sets the max number of parents- 覆盖:
setMaxNrOfParents
在类中HillClimber
- 参数:
nMaxNrOfParents
- the max number of parents
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getMaxNrOfParents
public int getMaxNrOfParents()Gets the max number of parents.- 覆盖:
getMaxNrOfParents
在类中HillClimber
- 返回:
- the max number of parents
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setNrOfLookAheadSteps
public void setNrOfLookAheadSteps(int nNrOfLookAheadSteps) Sets the number of look-ahead steps- 参数:
nNrOfLookAheadSteps
- the number of look-ahead steps
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getNrOfLookAheadSteps
public int getNrOfLookAheadSteps()Gets the number of look-ahead steps- 返回:
- the number of look-ahead step
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setNrOfGoodOperations
public void setNrOfGoodOperations(int nNrOfGoodOperations) Sets the number of "good operations"- 参数:
nNrOfGoodOperations
- the number of "good operations"
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getNrOfGoodOperations
public int getNrOfGoodOperations()Gets the number of "good operations"- 返回:
- the number of "good operations"
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listOptions
Returns an enumeration describing the available options.- 指定者:
listOptions
在接口中OptionHandler
- 覆盖:
listOptions
在类中HillClimber
- 返回:
- an enumeration of all the available options.
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setOptions
Parses a given list of options. Valid options are: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)
- 指定者:
setOptions
在接口中OptionHandler
- 覆盖:
setOptions
在类中HillClimber
- 参数:
options
- the list of options as an array of strings- 抛出:
Exception
- if an option is not supported
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getOptions
Gets the current settings of the search algorithm.- 指定者:
getOptions
在接口中OptionHandler
- 覆盖:
getOptions
在类中HillClimber
- 返回:
- an array of strings suitable for passing to setOptions
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globalInfo
This will return a string describing the search algorithm.- 覆盖:
globalInfo
在类中HillClimber
- 返回:
- The string.
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nrOfLookAheadStepsTipText
- 返回:
- a string to describe the Number of Look Ahead Steps option.
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nrOfGoodOperationsTipText
- 返回:
- a string to describe the Number of Good Operations option.
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getRevision
Returns the revision string.- 指定者:
getRevision
在接口中RevisionHandler
- 覆盖:
getRevision
在类中HillClimber
- 返回:
- the revision
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