Package 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: 1.3 $
Author:
Remco Bouckaert (rrb@xm.co.nz)
See Also:

  • Constructor Details

    • 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 Details

    • 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.