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:
- Serializable, Cloneable, Scoreable, CapabilitiesHandler, OptionHandler, RevisionHandler
public class DiscreteEstimatorFullBayes
- extends DiscreteEstimatorBayes
Symbolic probability estimator based on symbol counts and a prior.
- Version:
- $Revision: 8034 $
- Author:
- Remco Bouckaert (rrb@xm.co.nz)
- See Also:
- Serialized Form
| 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 |
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 -
getRevision
public 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(String[] argv)
- Main method for testing this class.
- Parameters:
argv - should contain a sequence of integers which
will be treated as symbolic.
Copyright © 2012 University of Waikato, Hamilton, NZ. All Rights Reserved.