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java.lang.Objectweka.classifiers.bayes.net.search.SearchAlgorithm
weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
weka.classifiers.bayes.net.search.global.HillClimber
public class HillClimber
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)
Field Summary |
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Fields inherited from class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm |
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TAGS_CV_TYPE |
Constructor Summary | |
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HillClimber()
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Method Summary | |
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boolean |
getInitAsNaiveBayes()
Gets whether to init as naive bayes |
int |
getMaxNrOfParents()
Gets the max number of parents. |
java.lang.String[] |
getOptions()
Gets the current settings of the search algorithm. |
java.lang.String |
getRevision()
Returns the revision string. |
boolean |
getUseArcReversal()
get use the arc reversal operation |
java.lang.String |
globalInfo()
This will return a string describing the search algorithm. |
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options. |
void |
setInitAsNaiveBayes(boolean bInitAsNaiveBayes)
Sets whether to init as naive bayes |
void |
setMaxNrOfParents(int nMaxNrOfParents)
Sets the max number of parents |
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
void |
setUseArcReversal(boolean bUseArcReversal)
set use the arc reversal operation |
java.lang.String |
useArcReversalTipText()
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Methods inherited from class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm |
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calcScore, calcScoreWithExtraParent, calcScoreWithMissingParent, calcScoreWithReversedParent, cumulativeCV, CVTypeTipText, getCVType, getMarkovBlanketClassifier, getUseProb, kFoldCV, leaveOneOutCV, markovBlanketClassifierTipText, setCVType, setMarkovBlanketClassifier, setUseProb, useProbTipText |
Methods inherited from class weka.classifiers.bayes.net.search.SearchAlgorithm |
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buildStructure, initAsNaiveBayesTipText, maxNrOfParentsTipText, toString |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public HillClimber()
Method Detail |
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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 strings
java.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
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