weka.classifiers.bayes.net.estimate
Class BMAEstimator

java.lang.Object
  weka.classifiers.bayes.net.estimate.BayesNetEstimator
      weka.classifiers.bayes.net.estimate.SimpleEstimator
          weka.classifiers.bayes.net.estimate.BMAEstimator

All Implemented Interfaces:

OptionHandler, java.io.Serializable

public class BMAEstimator

extends SimpleEstimator

BMAEstimator estimates conditional probability tables of a Bayes network using Bayes Model Averaging (BMA).

Version:

$Revision: 1.4 $

Author:

Remco Bouckaert (rrb@xm.co.nz)

See Also:

Serialized Form

Constructor Summary

BMAEstimator()

Method Summary

void	estimateCPTs(BayesNet bayesNet) estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
void	initCPTs(BayesNet bayesNet) initCPTs reserves space for CPTs and set all counts to zero
boolean	isUseK2Prior()
void	setUseK2Prior(boolean bUseK2Prior) Sets the UseK2Prior.
void	updateClassifier(BayesNet bayesNet, Instance instance) Updates the classifier with the given instance.

Methods inherited from class weka.classifiers.bayes.net.estimate.SimpleEstimator

distributionForInstance

Methods inherited from class weka.classifiers.bayes.net.estimate.BayesNetEstimator

alphaTipText, getAlpha, getOptions, globalInfo, listOptions, setAlpha, setOptions

Methods inherited from class java.lang.Object

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

Constructor Detail

BMAEstimator

public BMAEstimator()

Method Detail

estimateCPTs

public void estimateCPTs(BayesNet bayesNet)
                  throws java.lang.Exception

estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.

Overrides:

estimateCPTs in class SimpleEstimator

Throws:

java.lang.Exception

updateClassifier

public void updateClassifier(BayesNet bayesNet,
                             Instance instance)
                      throws java.lang.Exception

Updates the classifier with the given instance.

Overrides:

updateClassifier in class SimpleEstimator

Parameters:

instance - the new training instance to include in the model

Throws:

java.lang.Exception - if the instance could not be incorporated in the model.

initCPTs

public void initCPTs(BayesNet bayesNet)
              throws java.lang.Exception

initCPTs reserves space for CPTs and set all counts to zero

Overrides:

initCPTs in class SimpleEstimator

Throws:

java.lang.Exception

isUseK2Prior

public boolean isUseK2Prior()

Returns:

boolean

setUseK2Prior

public void setUseK2Prior(boolean bUseK2Prior)

Sets the UseK2Prior.

Parameters:

bUseK2Prior - The bUseK2Prior to set