weka.classifiers.bayes.net.search
Class SearchAlgorithm

java.lang.Object
  weka.classifiers.bayes.net.search.SearchAlgorithm

All Implemented Interfaces:

OptionHandler, java.io.Serializable

Direct Known Subclasses:

FromFile, GlobalScoreSearchAlgorithm, LocalScoreSearchAlgorithm, NaiveBayes

public class SearchAlgorithm

extends java.lang.Object

implements OptionHandler, java.io.Serializable

This is the base class for all search algorithms for learning Bayes networks. It contains some common code, used by other network structure search algorithms, and should not be used by itself.

Version:

$Revision: 1.4 $

Author:

Remco Bouckaert

See Also:

Serialized Form

Constructor Summary

SearchAlgorithm()
c'tor

Method Summary

void	buildStructure(BayesNet bayesNet, Instances instances) buildStructure determines the network structure/graph of the network.
boolean	getMarkovBlanketClassifier()
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
java.lang.String	initAsNaiveBayesTipText()
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
java.lang.String	markovBlanketClassifierTipText()
java.lang.String	maxNrOfParentsTipText()
void	setMarkovBlanketClassifier(boolean bMarkovBlanketClassifier)
void	setOptions(java.lang.String[] options) Parses a given list of options.
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

SearchAlgorithm

public SearchAlgorithm()

c'tor

Method Detail

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options.

Specified by:

listOptions in interface OptionHandler

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

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

Returns:

an array of strings suitable for passing to setOptions

toString

public java.lang.String toString()

buildStructure

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

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.

Throws:

java.lang.Exception

setMarkovBlanketClassifier

public void setMarkovBlanketClassifier(boolean bMarkovBlanketClassifier)

getMarkovBlanketClassifier

public boolean getMarkovBlanketClassifier()

maxNrOfParentsTipText

public java.lang.String maxNrOfParentsTipText()

Returns:

a string to describe the MaxNrOfParentsoption.

initAsNaiveBayesTipText

public java.lang.String initAsNaiveBayesTipText()

Returns:

a string to describe the InitAsNaiveBayes option.

markovBlanketClassifierTipText

public java.lang.String markovBlanketClassifierTipText()

Returns:

a string to describe the MarkovBlanketClassifier option.