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

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

All Implemented Interfaces:

OptionHandler, java.io.Serializable

public class TAN

extends LocalScoreSearchAlgorithm

Search for TAN = Tree Augmented Naive Bayes network structure N. Friedman, D. Geiger, M. Goldszmidt. Bayesian Network Classifiers. Machine Learning, 29: 131--163, 1997

Version:

$Revision: 1.1 $

Author:

Remco Bouckaert

See Also:

Serialized Form

Field Summary

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

TAGS_SCORE_TYPE

Constructor Summary

TAN()

Method Summary

void	buildStructure(BayesNet bayesNet, Instances instances) buildStructure determines the network structure/graph of the network using the maximimum weight spanning tree algorithm of Chow and Liu
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
java.lang.String	globalInfo() This will return a string describing the classifier.
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
void	setOptions(java.lang.String[] options) Parses a given list of options.

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

TAN

public TAN()

Method Detail

buildStructure

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

buildStructure determines the network structure/graph of the network using the maximimum weight spanning tree algorithm of Chow and Liu

Overrides:

buildStructure in class LocalScoreSearchAlgorithm

Throws:

java.lang.Exception

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:

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 Classifier.

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 classifier.

Returns:

The string.