weka.classifiers.bayes.net.search.local
Class RepeatedHillClimber

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.RepeatedHillClimber

All Implemented Interfaces:

OptionHandler, java.io.Serializable

public class RepeatedHillClimber

extends HillClimber

RepeatedHillClimber searches for Bayesian network structures by repeatedly generating a random network and apply hillclimber on it. The best network found is returned.

Author:

Remco Bouckaert (rrb@xm.co.nz) Version: $Revision: 1.1 $

See Also:

Serialized Form

Field Summary

Fields inherited from class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm

TAGS_SCORE_TYPE

Constructor Summary

RepeatedHillClimber()

Method Summary

java.lang.String[]	getOptions() Gets the current settings of the search algorithm.
int	getRuns()
int	getSeed()
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.local.HillClimber

getInitAsNaiveBayes, getMaxNrOfParents, getUseArcReversal, setInitAsNaiveBayes, setMaxNrOfParents, setUseArcReversal, useArcReversalTipText

Methods inherited from class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm

buildStructure, calcNodeScore, calcScoreWithExtraParent, calcScoreWithMissingParent, getScoreType, logScore, scoreTypeTipText, setScoreType

Methods inherited from class weka.classifiers.bayes.net.search.SearchAlgorithm

getMarkovBlanketClassifier, initAsNaiveBayesTipText, markovBlanketClassifierTipText, maxNrOfParentsTipText, setMarkovBlanketClassifier, toString

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

RepeatedHillClimber

public RepeatedHillClimber()

Method Detail

getRuns

public int getRuns()

Returns:

number of runs

setRuns

public void setRuns(int nRuns)

Sets the number of runs

Parameters:

nRuns - The number of runs to set

getSeed

public int getSeed()

Returns:

random number seed

setSeed

public void setSeed(int nSeed)

Sets the random number seed

Parameters:

nSeed - The number of the seed to set

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class HillClimber

Returns:

an enumeration of all the available options.

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options. Valid options are:

For other options see search algorithm.

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class HillClimber

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.String[] getOptions()

Gets the current settings of the search algorithm.

Specified by:

getOptions in interface OptionHandler

Overrides:

getOptions in class HillClimber

Returns:

an array of strings suitable for passing to setOptions

globalInfo

public java.lang.String globalInfo()

This will return a string describing the classifier.

Overrides:

globalInfo in class HillClimber

Returns:

The string.

runsTipText

public java.lang.String runsTipText()

Returns:

a string to describe the Runs option.

seedTipText

public java.lang.String seedTipText()

Returns:

a string to describe the Seed option.