weka.classifiers.bayes.net.search.fixed

Class NaiveBayes

java.lang.Object

weka.classifiers.bayes.net.search.SearchAlgorithm

weka.classifiers.bayes.net.search.fixed.NaiveBayes

All Implemented Interfaces:

Serializable, OptionHandler, RevisionHandler

public class NaiveBayes
extends SearchAlgorithm

The NaiveBayes class generates a fixed Bayes network structure with arrows from the class variable to each of the attribute variables.

Version:

$Revision: 1.6 $

Author:

Remco Bouckaert

See Also:

Serialized Form

Field Summary

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

m_bInitAsNaiveBayes, m_bMarkovBlanketClassifier, m_nMaxNrOfParents

Constructor Summary

Constructors

Constructor and Description
NaiveBayes()

Method Summary

Modifier and Type	Method and Description
void	buildStructure(BayesNet bayesNet, Instances instances) buildStructure determines the network structure/graph of the network.
String	getRevision() Returns the revision string.
String	globalInfo() Returns a string describing this object

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

addArcMakesSense, doMarkovBlanketCorrection, getMarkovBlanketClassifier, getOptions, initAsNaiveBayesTipText, isArc, listOptions, markovBlanketClassifierTipText, maxNrOfParentsTipText, reverseArcMakesSense, search, setMarkovBlanketClassifier, setOptions, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

NaiveBayes

public NaiveBayes()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing this object

Returns:

a description of the classifier suitable for displaying in the explorer/experimenter gui

buildStructure

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

Description copied from class: SearchAlgorithm

buildStructure determines the network structure/graph of the network. The default behavior is creating a network where all nodes have the first node as its parent (i.e., a BayesNet that behaves like a naive Bayes classifier). This method can be overridden by derived classes to restrict the class of network structures that are acceptable.

Overrides:

buildStructure in class SearchAlgorithm

Parameters:

bayesNet -

instances - the instances to work with

Throws:

Exception - if something goes wrong

getRevision

public String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class SearchAlgorithm

Returns:

the revision