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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
weka.classifiers.bayes.net.search.global.RepeatedHillClimber
public class RepeatedHillClimber
This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and return the best structure of the various runs.
Valid options are:-U <integer> Number of runs
-A <seed> Random number seed
-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 |
|---|
| Fields inherited from class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm |
|---|
TAGS_CV_TYPE |
| Constructor Summary | |
|---|---|
RepeatedHillClimber()
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| Method Summary | |
|---|---|
java.lang.String[] |
getOptions()
Gets the current settings of the search algorithm. |
java.lang.String |
getRevision()
Returns the revision string. |
int |
getRuns()
Returns the number of runs |
int |
getSeed()
Returns the random seed |
java.lang.String |
globalInfo()
This will return a string describing the classifier. |
java.util.Enumeration |
listOptions()
Returns an enumeration describing the available options. |
java.lang.String |
runsTipText()
|
java.lang.String |
seedTipText()
|
void |
setOptions(java.lang.String[] options)
Parses a given list of options. |
void |
setRuns(int nRuns)
Sets the number of runs |
void |
setSeed(int nSeed)
Sets the random number seed |
| Methods inherited from class weka.classifiers.bayes.net.search.global.HillClimber |
|---|
getInitAsNaiveBayes, getMaxNrOfParents, getUseArcReversal, setInitAsNaiveBayes, setMaxNrOfParents, setUseArcReversal, useArcReversalTipText |
| Methods inherited from class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm |
|---|
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 |
|---|
buildStructure, initAsNaiveBayesTipText, maxNrOfParentsTipText, toString |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
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public RepeatedHillClimber()
| Method Detail |
|---|
public int getRuns()
public void setRuns(int nRuns)
nRuns - The number of runs to setpublic int getSeed()
public void setSeed(int nSeed)
nSeed - The number of the seed to setpublic java.util.Enumeration listOptions()
listOptions in interface OptionHandlerlistOptions in class HillClimber
public void setOptions(java.lang.String[] options)
throws java.lang.Exception
-U <integer> Number of runs
-A <seed> Random number seed
-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 OptionHandlersetOptions in class HillClimberoptions - 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 OptionHandlergetOptions in class HillClimberpublic java.lang.String globalInfo()
globalInfo in class HillClimberpublic java.lang.String runsTipText()
public java.lang.String seedTipText()
public java.lang.String getRevision()
getRevision in interface RevisionHandlergetRevision in class HillClimber
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