Package weka.classifiers.bayes.net.estimate

Class DiscreteEstimatorBayes

java.lang.Object
weka.estimators.Estimator
weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
All Implemented Interfaces:
Serializable, Cloneable, Scoreable, CapabilitiesHandler, CapabilitiesIgnorer, OptionHandler, RevisionHandler
Direct Known Subclasses:
DiscreteEstimatorFullBayes
public class DiscreteEstimatorBayes extends Estimator implements Scoreable
Symbolic probability estimator based on symbol counts and a prior.
Version:
$Revision: 8034 $
Author:
Remco Bouckaert (rrb@xm.co.nz)
See Also:

  • Constructor Details

    • DiscreteEstimatorBayes

      public DiscreteEstimatorBayes(int nSymbols, double fPrior)
      Constructor
      Parameters:
      nSymbols - the number of possible symbols (remember to include 0)
      fPrior -

  • Method Details

    • addValue

      public void addValue(double data, double weight)
      Add a new data value to the current estimator.
      Overrides:
      addValue in class Estimator
      Parameters:
      data - the new data value
      weight - the weight assigned to the data value

    • getProbability

      public double getProbability(double data)
      Get a probability estimate for a value
      Specified by:
      getProbability in class Estimator
      Parameters:
      data - the value to estimate the probability of
      Returns:
      the estimated probability of the supplied value

    • getCount

      public double getCount(double data)
      Get a counts for a value
      Parameters:
      data - the value to get the counts for
      Returns:
      the count of the supplied value

    • getNumSymbols

      public int getNumSymbols()
      Gets the number of symbols this estimator operates with
      Returns:
      the number of estimator symbols

    • logScore

      public double logScore(int nType, int nCardinality)
      Gets the log score contribution of this distribution
      Specified by:
      logScore in interface Scoreable
      Parameters:
      nType - score type
      Returns:
      the score

    • toString

      public String toString()
      Display a representation of this estimator
      Overrides:
      toString in class Object
      Returns:
      a string representation of the estimator

    • getRevision

      public String getRevision()
      Returns the revision string.
      Specified by:
      getRevision in interface RevisionHandler
      Overrides:
      getRevision in class Estimator
      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.