weka.classifiers.bayes.net.search

Class SearchAlgorithm

java.lang.Object

weka.classifiers.bayes.net.search.SearchAlgorithm

All Implemented Interfaces:

java.io.Serializable, OptionHandler, RevisionHandler

Direct Known Subclasses:

FromFile, GlobalScoreSearchAlgorithm, LocalScoreSearchAlgorithm, NaiveBayes

public class SearchAlgorithm
extends java.lang.Object
implements OptionHandler, java.io.Serializable, RevisionHandler

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: 1.9 $

Author:

Remco Bouckaert

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
SearchAlgorithm() c'tor

Method Summary

Modifier and Type	Method and Description
void	buildStructure(BayesNet bayesNet, Instances instances) buildStructure determines the network structure/graph of the network.
java.lang.String[]	getOptions() Gets the current settings of the Classifier.
java.lang.String	getRevision() Returns the revision string.
java.lang.String	initAsNaiveBayesTipText()
java.util.Enumeration	listOptions() Returns an enumeration describing the available options.
java.lang.String	maxNrOfParentsTipText()
void	setOptions(java.lang.String[] options) Parses a given list of options.
java.lang.String	toString() a string representation of the algorithm

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.

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()

a string representation of the algorithm

Overrides:

toString in class java.lang.Object

Returns:

a string representation

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.

Parameters:

bayesNet - the network

instances - the data to use

Throws:

java.lang.Exception - if something goes wrong

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.

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Returns:

the revision