weka.classifiers.bayes
Class BayesNetK2

java.lang.Object
  weka.classifiers.Classifier
      weka.classifiers.bayes.BayesNet
          weka.classifiers.bayes.BayesNetK2

All Implemented Interfaces:

java.lang.Cloneable, Drawable, OptionHandler, java.io.Serializable, WeightedInstancesHandler

public class BayesNetK2

extends BayesNet

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: 1.3 $

Author:

Remco Bouckaert (rrb@xm.co.nz)

See Also:

Serialized Form

Field Summary

(package private) boolean

m_bRandomOrder Holds flag to indicate ordering should be random

Fields inherited from class weka.classifiers.bayes.BayesNet

m_ADTree, m_bInitAsNaiveBayes, m_bUseADTree, m_Distributions, m_fAlpha, m_Instances, m_nMaxNrOfParents, m_nOrder, m_nScoreType, m_NumClasses, m_ParentSets, TAGS_SCORE_TYPE

Fields inherited from class weka.classifiers.Classifier

m_Debug

Fields inherited from interface weka.core.Drawable

BayesNet, NOT_DRAWABLE, TREE

Constructor Summary

BayesNetK2()

Method Summary

void	buildStructure() 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.
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
boolean	getRandomOrder() Get random order flag
java.lang.String	globalInfo() This will return a string describing the classifier.
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
static void	main(java.lang.String[] argv) Main method for testing this class.
java.lang.String	randomOrderTipText()
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.BayesNet

alphaTipText, buildClassifier, CalcNodeScore, CalcScoreOfCounts, CalcScoreOfCounts2, CalcScoreWithExtraParent, countsForInstance, distributionForInstance, estimateCPTs, getAlpha, getInitAsNaiveBayes, getMaxNrOfParents, getScoreType, getUseADTree, graph, graphType, initAsNaiveBayesTipText, initStructure, logScore, maxNrOfParentsTipText, scoreTypeTipText, setAlpha, setInitAsNaiveBayes, setMaxNrOfParents, setScoreType, setUseADTree, toString, toXMLBIF03, updateClassifier, useADTreeTipText, XMLNormalize

Methods inherited from class weka.classifiers.Classifier

classifyInstance, debugTipText, forName, getDebug, makeCopies, setDebug

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

m_bRandomOrder

boolean m_bRandomOrder

Holds flag to indicate ordering should be random

Constructor Detail

BayesNetK2

public BayesNetK2()

Method Detail

buildStructure

public void buildStructure()
                    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 BayesNet

Throws:

java.lang.Exception

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 BayesNet

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 bagging.

Specified by:

setOptions in interface OptionHandler

Overrides:

setOptions in class BayesNet

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 Classifier.

Specified by:

getOptions in interface OptionHandler

Overrides:

getOptions in class BayesNet

Returns:

an array of strings suitable for passing to setOptions

randomOrderTipText

public java.lang.String randomOrderTipText()

Returns:

a string to describe the RandomOrder option.

globalInfo

public java.lang.String globalInfo()

This will return a string describing the classifier.

Returns:

The string.

main

public static void main(java.lang.String[] argv)

Main method for testing this class.

Parameters:

argv - the options