weka.classifiers.bayes.net.search.global
Class GeneticSearch

java.lang.Object
  weka.classifiers.bayes.net.search.SearchAlgorithm
      weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
          weka.classifiers.bayes.net.search.global.GeneticSearch

All Implemented Interfaces:

OptionHandler, java.io.Serializable

public class GeneticSearch

extends GlobalScoreSearchAlgorithm

GeneticSearch is a crude implementation of genetic search for learning Bayesian network structures.

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.global.GlobalScoreSearchAlgorithm

TAGS_CV_TYPE

Constructor Summary

GeneticSearch()

Method Summary

java.lang.String	descendantPopulationSizeTipText()
int	getDescendantPopulationSize()
java.lang.String[]	getOptions() Gets the current settings of the search algorithm.
int	getPopulationSize()
int	getRuns()
int	getSeed()
boolean	getUseCrossOver()
boolean	getUseMutation()
boolean	getUseTournamentSelection()
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	populationSizeTipText()
java.lang.String	runsTipText()
java.lang.String	seedTipText()
void	setDescendantPopulationSize(int iDescendantPopulationSize)
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setPopulationSize(int iPopulationSize)
void	setRuns(int nRuns) Sets the number of runs
void	setSeed(int nSeed) Sets the random number seed
void	setUseCrossOver(boolean bUseCrossOver)
void	setUseMutation(boolean bUseMutation)
void	setUseTournamentSelection(boolean bUseTournamentSelection)
java.lang.String	useCrossOverTipText()
java.lang.String	useMutationTipText()
java.lang.String	useTournamentSelectionTipText()

Methods inherited from class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm

calcScore, calcScoreWithExtraParent, calcScoreWithMissingParent, calcScoreWithReversedParent, cumulativeCV, CVTypeTipText, getCVType, getUseProb, kFoldCV, leaveOneOutCV, setCVType, setUseProb, useProbTipText

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

buildStructure, getMarkovBlanketClassifier, initAsNaiveBayesTipText, markovBlanketClassifierTipText, maxNrOfParentsTipText, setMarkovBlanketClassifier, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

GeneticSearch

public GeneticSearch()

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

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class GlobalScoreSearchAlgorithm

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 GlobalScoreSearchAlgorithm

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 GlobalScoreSearchAlgorithm

Returns:

an array of strings suitable for passing to setOptions

getUseCrossOver

public boolean getUseCrossOver()

Returns:

whether cross-over is used

getUseMutation

public boolean getUseMutation()

Returns:

whether mutation is used

getDescendantPopulationSize

public int getDescendantPopulationSize()

Returns:

descendant population size

getPopulationSize

public int getPopulationSize()

Returns:

population size

setUseCrossOver

public void setUseCrossOver(boolean bUseCrossOver)

setUseMutation

public void setUseMutation(boolean bUseMutation)

getUseTournamentSelection

public boolean getUseTournamentSelection()

Returns:

whether Tournament Selection (true) or Maximum Sub-Population (false) should be used

setUseTournamentSelection

public void setUseTournamentSelection(boolean bUseTournamentSelection)

setDescendantPopulationSize

public void setDescendantPopulationSize(int iDescendantPopulationSize)

setPopulationSize

public void setPopulationSize(int iPopulationSize)

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

globalInfo

public java.lang.String globalInfo()

This will return a string describing the classifier.

Overrides:

globalInfo in class GlobalScoreSearchAlgorithm

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.

populationSizeTipText

public java.lang.String populationSizeTipText()

Returns:

a string to describe the Population Size option.

descendantPopulationSizeTipText

public java.lang.String descendantPopulationSizeTipText()

Returns:

a string to describe the Descendant Population Size option.

useMutationTipText

public java.lang.String useMutationTipText()

Returns:

a string to describe the Use Mutation option.

useCrossOverTipText

public java.lang.String useCrossOverTipText()

Returns:

a string to describe the Use Cross-Over option.

useTournamentSelectionTipText

public java.lang.String useTournamentSelectionTipText()

Returns:

a string to describe the Use Tournament Selection option.