weka.classifiers.bayes.net.estimate
Class SimpleEstimator

java.lang.Object
  extended byweka.classifiers.bayes.net.estimate.BayesNetEstimator
      extended byweka.classifiers.bayes.net.estimate.SimpleEstimator
All Implemented Interfaces:
OptionHandler, java.io.Serializable
Direct Known Subclasses:
BMAEstimator

public class SimpleEstimator
extends BayesNetEstimator

SimpleEstimator is used for estimating the conditional probability tables of a Bayes network once the structure has been learned. Estimates probabilities directly from data.

Version:
$Revision: 1.3 $
Author:
Remco Bouckaert (rrb@xm.co.nz)
See Also:
Serialized Form

Constructor Summary
SimpleEstimator()
           
 
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
 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

SimpleEstimator

public SimpleEstimator()
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

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