weka.classifiers.bayes.net.estimate
Class DiscreteEstimatorFullBayes

java.lang.Object
  weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
      weka.classifiers.bayes.net.estimate.DiscreteEstimatorFullBayes

All Implemented Interfaces:

Estimator, Scoreable, java.io.Serializable

public class DiscreteEstimatorFullBayes

extends DiscreteEstimatorBayes

Symbolic probability estimator based on symbol counts and a prior.

Version:

$Revision: 1.1 $

Author:

Remco Bouckaert (rrb@xm.co.nz)

See Also:

Serialized Form

Field Summary

Fields inherited from interface weka.classifiers.bayes.net.search.local.Scoreable

AIC, BAYES, BDeu, ENTROPY, MDL

Constructor Summary

DiscreteEstimatorFullBayes(int nSymbols, double w1, double w2, DiscreteEstimatorBayes EmptyDist, DiscreteEstimatorBayes ClassDist, double fPrior)
Constructor

Method Summary

static void

main(java.lang.String[] argv) Main method for testing this class.

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

addValue, getCount, getNumSymbols, getProbability, logScore, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

DiscreteEstimatorFullBayes

public DiscreteEstimatorFullBayes(int nSymbols,
                                  double w1,
                                  double w2,
                                  DiscreteEstimatorBayes EmptyDist,
                                  DiscreteEstimatorBayes ClassDist,
                                  double fPrior)

Constructor

Parameters:

nSymbols - the number of possible symbols (remember to include 0)

Method Detail

main

public static void main(java.lang.String[] argv)

Main method for testing this class.

Parameters:

argv - should contain a sequence of integers which will be treated as symbolic.