public class RepeatedHillClimber extends HillClimber
-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 [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES] Score type (BAYES, BDeu, MDL, ENTROPY and AIC)
TAGS_SCORE_TYPE
m_bInitAsNaiveBayes, m_bMarkovBlanketClassifier, m_nMaxNrOfParents
Constructor and Description |
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RepeatedHillClimber() |
Modifier and Type | Method and Description |
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String[] |
getOptions()
Gets the current settings of the search algorithm.
|
String |
getRevision()
Returns the revision string.
|
int |
getRuns() |
int |
getSeed() |
String |
globalInfo()
This will return a string describing the classifier.
|
Enumeration |
listOptions()
Returns an enumeration describing the available options.
|
String |
runsTipText() |
protected void |
search(BayesNet bayesNet,
Instances instances)
search determines the network structure/graph of the network
with the repeated hill climbing.
|
String |
seedTipText() |
void |
setOptions(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
|
getInitAsNaiveBayes, getMaxNrOfParents, getUseArcReversal, setInitAsNaiveBayes, setMaxNrOfParents, setUseArcReversal, useArcReversalTipText
buildStructure, calcNodeScore, calcScoreOfCounts, calcScoreOfCounts2, calcScoreWithExtraParent, calcScoreWithMissingParent, getMarkovBlanketClassifier, getScoreType, logScore, markovBlanketClassifierTipText, scoreTypeTipText, setMarkovBlanketClassifier, setScoreType
addArcMakesSense, doMarkovBlanketCorrection, initAsNaiveBayesTipText, isArc, maxNrOfParentsTipText, reverseArcMakesSense, toString
protected void search(BayesNet bayesNet, Instances instances) throws Exception
search
in class HillClimber
bayesNet
- the networkinstances
- the data to useException
- if something goes wrongpublic 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 Enumeration listOptions()
listOptions
in interface OptionHandler
listOptions
in class HillClimber
public void setOptions(String[] options) throws 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 [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 runsTipText()
public String seedTipText()
public String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class HillClimber
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