weka.classifiers.bayes.net.search.local
Class K2

java.lang.Object
  weka.classifiers.bayes.net.search.SearchAlgorithm
      weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
          weka.classifiers.bayes.net.search.local.K2

All Implemented Interfaces:

OptionHandler, java.io.Serializable

public class K2

extends LocalScoreSearchAlgorithm

Class for a Bayes Network classifier based on K2 for learning structure. K2 is a hill climbing algorihtm by Greg Cooper and Ed Herskovitz, Proceedings Uncertainty in Artificial Intelligence, 1991, Also in Machine Learning, 1992 pages 309-347. Works with nominal variables and no missing values only.

Version:

$Revision: 1.1 $

Author:

Remco Bouckaert (rrb@xm.co.nz)

See Also:

Serialized Form

Field Summary

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

TAGS_SCORE_TYPE

Constructor Summary

K2()

Method Summary

void	buildStructure(BayesNet bayesNet, Instances instances) buildStructure determines the network structure/graph of the network with the K2 algorithm, restricted by its initial structure (which can be an empty graph, or a Naive Bayes graph.
boolean	getInitAsNaiveBayes() Method declaration
int	getMaxNrOfParents() Method declaration
java.lang.String[]	getOptions() Gets the current settings of the search algorithm.
boolean	getRandomOrder() Get random order flag
java.lang.String	globalInfo() This will return a string describing the search algorithm.
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
java.lang.String	randomOrderTipText()
void	setInitAsNaiveBayes(boolean bInitAsNaiveBayes) Method declaration
void	setMaxNrOfParents(int nMaxNrOfParents) Method declaration
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setRandomOrder(boolean bRandomOrder) Set random order flag

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

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

K2

public K2()

Method Detail

buildStructure

public void buildStructure(BayesNet bayesNet,
                           Instances instances)
                    throws java.lang.Exception

buildStructure determines the network structure/graph of the network with the K2 algorithm, restricted by its initial structure (which can be an empty graph, or a Naive Bayes graph.

Overrides:

buildStructure in class LocalScoreSearchAlgorithm

Throws:

java.lang.Exception

setMaxNrOfParents

public void setMaxNrOfParents(int nMaxNrOfParents)

Method declaration

Parameters:

nMaxNrOfParents -

getMaxNrOfParents

public int getMaxNrOfParents()

Method declaration

Returns:

setInitAsNaiveBayes

public void setInitAsNaiveBayes(boolean bInitAsNaiveBayes)

Method declaration

Parameters:

bInitAsNaiveBayes -

getInitAsNaiveBayes

public boolean getInitAsNaiveBayes()

Method declaration

Returns:

setRandomOrder

public void setRandomOrder(boolean bRandomOrder)

Set random order flag

Parameters:

bRandomOrder -

getRandomOrder

public boolean getRandomOrder()

Get random order flag

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

Overrides:

listOptions in class LocalScoreSearchAlgorithm

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:

-R Set the random order to true (default false).

For other options see search algorithm.

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class LocalScoreSearchAlgorithm

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 LocalScoreSearchAlgorithm

Returns:

an array of strings suitable for passing to setOptions

globalInfo

public java.lang.String globalInfo()

This will return a string describing the search algorithm.

Returns:

The string.

randomOrderTipText

public java.lang.String randomOrderTipText()

Returns:

a string to describe the RandomOrder option.