Package weka.classifiers.bayes.net.estimate

Class BMAEstimator

java.lang.Object
weka.classifiers.bayes.net.estimate.BayesNetEstimator
weka.classifiers.bayes.net.estimate.SimpleEstimator
weka.classifiers.bayes.net.estimate.BMAEstimator
All Implemented Interfaces:
Serializable, OptionHandler, RevisionHandler
public class BMAEstimator extends SimpleEstimator
BMAEstimator estimates conditional probability tables of a Bayes network using Bayes Model Averaging (BMA).

Valid options are: 

 -k2
  Whether to use K2 prior.
 
 -A <alpha>
  Initial count (alpha)
Version:
$Revision: 10154 $
Author:
Remco Bouckaert (rrb@xm.co.nz)
See Also:

  • Constructor Details

    • BMAEstimator

      public BMAEstimator()

  • Method Details

    • globalInfo

      public String globalInfo()
      Returns a string describing this object
      Overrides:
      globalInfo in class SimpleEstimator
      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 SimpleEstimator
      Parameters:
      bayesNet - the bayes net to use
      Throws:
      Exception - if an error occurs

    • updateClassifier

      public void updateClassifier(BayesNet bayesNet, Instance instance) throws Exception
      Updates the classifier with the given instance.
      Overrides:
      updateClassifier in class SimpleEstimator
      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 SimpleEstimator
      Parameters:
      bayesNet - the bayes net to use
      Throws:
      Exception - if something goes wrong

    • isUseK2Prior

      public boolean isUseK2Prior()
      Returns whether K2 prior is used
      Returns:
      true if K2 prior is used

    • setUseK2Prior

      public void setUseK2Prior(boolean bUseK2Prior)
      Sets the UseK2Prior.
      Parameters:
      bUseK2Prior - The bUseK2Prior to set

    • listOptions

      public Enumeration<Option> listOptions()
      Returns an enumeration describing the available options
      Specified by:
      listOptions in interface OptionHandler
      Overrides:
      listOptions in class BayesNetEstimator
      Returns:
      an enumeration of all the available options

    • setOptions

      public void setOptions(String[] options) throws Exception
      Parses a given list of options.

      Valid options are: 

       -k2
  Whether to use K2 prior.
 
       -A <alpha>
  Initial count (alpha)
      Specified by:
      setOptions in interface OptionHandler
      Overrides:
      setOptions in class BayesNetEstimator
      Parameters:
      options - the list of options as an array of strings
      Throws:
      Exception - if an option is not supported

    • getOptions

      public String[] getOptions()
      Gets the current settings of the classifier.
      Specified by:
      getOptions in interface OptionHandler
      Overrides:
      getOptions in class BayesNetEstimator
      Returns:
      an array of strings suitable for passing to setOptions

    • getRevision

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