Package weka.classifiers.bayes.net.estimate

Class SimpleEstimator

java.lang.Object
weka.classifiers.bayes.net.estimate.BayesNetEstimator
weka.classifiers.bayes.net.estimate.SimpleEstimator
All Implemented Interfaces:
Serializable, OptionHandler, RevisionHandler
Direct Known Subclasses:
BMAEstimator
public class SimpleEstimator extends BayesNetEstimator
SimpleEstimator is used for estimating the conditional probability tables of a Bayes network once the structure has been learned. Estimates probabilities directly from data.

Valid options are: 

 -A <alpha>
  Initial count (alpha)
Version:
$Revision: 11325 $
Author:
Remco Bouckaert (rrb@xm.co.nz)
See Also:

  • Constructor Details

    • SimpleEstimator

      public SimpleEstimator()

  • Method Details

    • globalInfo

      public String globalInfo()
      Returns a string describing this object
      Overrides:
      globalInfo in class BayesNetEstimator
      Returns:
      a description of the classifier suitable for displaying in the explorer/experimenter gui

    • estimateCPTs

      public void estimateCPTs(BayesNet bayesNet) throws Exception
      estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
      Overrides:
      estimateCPTs in class BayesNetEstimator
      Parameters:
      bayesNet - the bayes net to use
      Throws:
      Exception - if something goes wrong

    • updateClassifier

      public void updateClassifier(BayesNet bayesNet, Instance instance) throws Exception
      Updates the classifier with the given instance.
      Overrides:
      updateClassifier in class BayesNetEstimator
      Parameters:
      bayesNet - the bayes net to use
      instance - the new training instance to include in the model
      Throws:
      Exception - if the instance could not be incorporated in the model.

    • initCPTs

      public void initCPTs(BayesNet bayesNet) throws Exception
      initCPTs reserves space for CPTs and set all counts to zero
      Overrides:
      initCPTs in class BayesNetEstimator
      Parameters:
      bayesNet - the bayes net to use
      Throws:
      Exception - if something goes wrong

    • distributionForInstance

      public double[] distributionForInstance(BayesNet bayesNet, Instance instance) throws Exception
      Calculates the class membership probabilities for the given test instance.
      Overrides:
      distributionForInstance in class BayesNetEstimator
      Parameters:
      bayesNet - the bayes net to use
      instance - the instance to be classified
      Returns:
      predicted class probability distribution
      Throws:
      Exception - if there is a problem generating the prediction

    • getRevision

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