类 HillClimber
java.lang.Object
weka.classifiers.bayes.net.search.SearchAlgorithm
weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
weka.classifiers.bayes.net.search.global.HillClimber
- 所有已实现的接口:
Serializable
,OptionHandler
,RevisionHandler
- 直接已知子类:
RepeatedHillClimber
,TabuSearch
This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs. 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:
-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)
- 版本:
- $Revision: 1.9 $
- 作者:
- Remco Bouckaert (rrb@xm.co.nz)
- 另请参阅:
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字段概要
从类继承的字段 weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
TAGS_CV_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boolean
Gets whether to init as naive bayesint
Gets the max number of parents.String[]
Gets the current settings of the search algorithm.Returns the revision string.boolean
get use the arc reversal operationThis will return a string describing the search algorithm.Returns an enumeration describing the available options.void
setInitAsNaiveBayes
(boolean bInitAsNaiveBayes) Sets whether to init as naive bayesvoid
setMaxNrOfParents
(int nMaxNrOfParents) Sets the max number of parentsvoid
setOptions
(String[] options) Parses a given list of options.void
setUseArcReversal
(boolean bUseArcReversal) set use the arc reversal operation从类继承的方法 weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
calcScore, calcScoreWithExtraParent, calcScoreWithMissingParent, calcScoreWithReversedParent, cumulativeCV, CVTypeTipText, getCVType, getMarkovBlanketClassifier, getUseProb, kFoldCV, leaveOneOutCV, markovBlanketClassifierTipText, setCVType, setMarkovBlanketClassifier, setUseProb, useProbTipText
从类继承的方法 weka.classifiers.bayes.net.search.SearchAlgorithm
buildStructure, initAsNaiveBayesTipText, maxNrOfParentsTipText, toString
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构造器详细资料
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HillClimber
public HillClimber()
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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- 参数:
nMaxNrOfParents
- the max number of parents
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getMaxNrOfParents
public int getMaxNrOfParents()Gets the max number of parents.- 返回:
- the max number of parents
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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GlobalScoreSearchAlgorithm
- 返回:
- an enumeration of all the available options.
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setOptions
Parses a given list of options. Valid options are:-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)
- 指定者:
setOptions
在接口中OptionHandler
- 覆盖:
setOptions
在类中GlobalScoreSearchAlgorithm
- 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GlobalScoreSearchAlgorithm
- 返回:
- an array of strings suitable for passing to setOptions
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setInitAsNaiveBayes
public void setInitAsNaiveBayes(boolean bInitAsNaiveBayes) Sets whether to init as naive bayes- 参数:
bInitAsNaiveBayes
- whether to init as naive bayes
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getInitAsNaiveBayes
public boolean getInitAsNaiveBayes()Gets whether to init as naive bayes- 返回:
- whether to init as naive bayes
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getUseArcReversal
public boolean getUseArcReversal()get use the arc reversal operation- 返回:
- whether the arc reversal operation should be used
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setUseArcReversal
public void setUseArcReversal(boolean bUseArcReversal) set use the arc reversal operation- 参数:
bUseArcReversal
- whether the arc reversal operation should be used
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globalInfo
This will return a string describing the search algorithm.- 覆盖:
globalInfo
在类中GlobalScoreSearchAlgorithm
- 返回:
- The string.
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useArcReversalTipText
- 返回:
- a string to describe the Use Arc Reversal 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GlobalScoreSearchAlgorithm
- 返回:
- the revision
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