weka.classifiers.bayes.net.estimate
Class MultiNomialBMAEstimator

java.lang.Object
  weka.classifiers.bayes.net.estimate.BayesNetEstimator
      weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator

All Implemented Interfaces:

OptionHandler, java.io.Serializable

public class MultiNomialBMAEstimator

extends BayesNetEstimator

See Also:

Serialized Form

Constructor Summary

MultiNomialBMAEstimator()

Method Summary

double[]	distributionForInstance(BayesNet bayesNet, Instance instance) Calculates the class membership probabilities for the given test instance.
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.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

MultiNomialBMAEstimator

public MultiNomialBMAEstimator()

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 BayesNetEstimator

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 BayesNetEstimator

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 BayesNetEstimator

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

distributionForInstance

public double[] distributionForInstance(BayesNet bayesNet,
                                        Instance instance)
                                 throws java.lang.Exception

Calculates the class membership probabilities for the given test instance.

Overrides:

distributionForInstance in class BayesNetEstimator

Parameters:

instance - the instance to be classified

Returns:

predicted class probability distribution

Throws:

java.lang.Exception - if there is a problem generating the prediction