weka.classifiers.bayes.net.estimate

Class DiscreteEstimatorFullBayes

java.lang.Object

weka.estimators.Estimator

weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes

weka.classifiers.bayes.net.estimate.DiscreteEstimatorFullBayes

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, Scoreable, CapabilitiesHandler, OptionHandler, RevisionHandler

public class DiscreteEstimatorFullBayes
extends DiscreteEstimatorBayes

Symbolic probability estimator based on symbol counts and a prior.

Version:

$Revision: 1.3 $

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

Constructors

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

Method Summary

Modifier and Type	Method and Description
java.lang.String	getRevision() Returns the revision string.
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 weka.estimators.Estimator

addValues, addValues, addValues, addValues, buildEstimator, buildEstimator, clone, debugTipText, equals, forName, getCapabilities, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions, testCapabilities

Methods inherited from class java.lang.Object

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)

w1 -

w2 -

EmptyDist -

ClassDist -

fPrior -

Method Detail

getRevision

public java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class DiscreteEstimatorBayes

Returns:

the revision

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.