weka.classifiers.bayes
Class BayesNet

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

All Implemented Interfaces:

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

Direct Known Subclasses:

BayesNetGenerator, BIFReader

public class BayesNet

extends Classifier

implements OptionHandler, WeightedInstancesHandler, Drawable, AdditionalMeasureProducer

Base class for a Bayes Network classifier. Provides datastructures (network structure, conditional probability distributions, etc.) and facilities common to Bayes Network learning algorithms like K2 and B. Works with nominal variables and no missing values only. For further documentation, see

toXMLBIF03

public java.lang.String toXMLBIF03()

Returns a description of the classifier in XML BIF 0.3 format. See http://www-2.cs.cmu.edu/~fgcozman/Research/InterchangeFormat/ for details on XML BIF.

Returns:

an XML BIF 0.3 description of the classifier as a string.

useADTreeTipText

public java.lang.String useADTreeTipText()

Returns:

a string to describe the UseADTreeoption.

searchAlgorithmTipText

public java.lang.String searchAlgorithmTipText()

Returns:

a string to describe the SearchAlgorithm.

estimatorTipText

public java.lang.String estimatorTipText()

This will return a string describing the BayesNetEstimator.

Returns:

The string.

BIFFileTipText

public java.lang.String BIFFileTipText()

Returns:

a string to describe the BIFFile.

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

getName

public java.lang.String getName()

get name of the Bayes network

Returns:

name of the Bayes net

getNrOfNodes

public int getNrOfNodes()

get number of nodes in the Bayes network

Returns:

number of nodes

getNodeName

public java.lang.String getNodeName(int iNode)

get name of a node in the Bayes network

Returns:

name of the specified node

getCardinality

public int getCardinality(int iNode)

get number of values a node can take

Returns:

cardinality of the specified node

getNodeValue

public java.lang.String getNodeValue(int iNode,
                                     int iValue)

get name of a particular value of a node

Returns:

cardinality of the specified node

getNrOfParents

public int getNrOfParents(int iNode)

get number of parents of a node in the network structure

Returns:

number of parents of the specified node

getParent

public int getParent(int iNode,
                     int iParent)

get node index of a parent of a node in the network structure

Returns:

node index of the iParent's parent of the specified node

getParentSets

public ParentSet[] getParentSets()

Get full set of parent sets.

Returns:

parent sets;

getDistributions

public Estimator[][] getDistributions()

Get full set of estimators.

Returns:

estimators;

getParentCardinality

public int getParentCardinality(int iNode)

get number of values the collection of parents of a node can take

Returns:

cardinality of the parent set of the specified node

getProbability

public double getProbability(int iNode,
                             int iParent,
                             int iValue)

get particular probability of the conditional probability distribtion of a node given its parents.

Returns:

probability

getParentSet

public ParentSet getParentSet(int iNode)

get the parent set of a node

Returns:

Parent set of the specified node.

getADTree

public ADNode getADTree()

get ADTree strucrture containing efficient representation of counts.

Returns:

ADTree strucrture

enumerateMeasures

public java.util.Enumeration enumerateMeasures()

Returns an enumeration of the measure names. Additional measures must follow the naming convention of starting with "measure", eg. double measureBlah()

Specified by:

enumerateMeasures in interface AdditionalMeasureProducer

Returns:

an enumeration of the measure names

measureExtraArcs

public double measureExtraArcs()

measureMissingArcs

public double measureMissingArcs()

measureReversedArcs

public double measureReversedArcs()

measureDivergence

public double measureDivergence()

measureBayesScore

public double measureBayesScore()

measureBDeuScore

public double measureBDeuScore()

measureMDLScore

public double measureMDLScore()

measureAICScore

public double measureAICScore()

measureEntropyScore

public double measureEntropyScore()

getMeasure

public double getMeasure(java.lang.String measureName)

Returns the value of the named measure

Specified by:

getMeasure in interface AdditionalMeasureProducer

Parameters:

measureName - the name of the measure to query for its value

Returns:

the value of the named measure

Throws:

java.lang.IllegalArgumentException - if the named measure is not supported