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:

java.io.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: 1.8 $

Author:

Remco Bouckaert (rrb@xm.co.nz)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BMAEstimator()

Method Summary

Modifier and Type	Method and Description
void	estimateCPTs(BayesNet bayesNet) estimateCPTs estimates the conditional probability tables for the Bayes Net using the network structure.
java.lang.String[]	getOptions() Gets the current settings of the classifier.
java.lang.String	getRevision() Returns the revision string.
java.lang.String	globalInfo() Returns a string describing this object
void	initCPTs(BayesNet bayesNet) initCPTs reserves space for CPTs and set all counts to zero
boolean	isUseK2Prior() Returns whether K2 prior is used
java.util.Enumeration	listOptions() Returns an enumeration describing the available options
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setUseK2Prior(boolean bUseK2Prior) Sets the UseK2Prior.
void	updateClassifier(BayesNet bayesNet, Instance instance) Updates the classifier with the given instance.

Methods inherited from class weka.classifiers.bayes.net.estimate.SimpleEstimator

distributionForInstance

Methods inherited from class weka.classifiers.bayes.net.estimate.BayesNetEstimator

alphaTipText, getAlpha, setAlpha

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

BMAEstimator

public BMAEstimator()

Method Detail

globalInfo

public java.lang.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 java.lang.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:

java.lang.Exception - if an error occurs

updateClassifier

public void updateClassifier(BayesNet bayesNet,
                             Instance instance)
                      throws java.lang.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:

java.lang.Exception - if the instance could not be incorporated in the model.

initCPTs

public void initCPTs(BayesNet bayesNet)
              throws java.lang.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:

java.lang.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 java.util.Enumeration 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(java.lang.String[] options)
                throws java.lang.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:

java.lang.Exception - if an option is not supported

getOptions

public java.lang.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 java.lang.String getRevision()

Returns the revision string.

Specified by:

getRevision in interface RevisionHandler

Overrides:

getRevision in class SimpleEstimator

Returns:

the revision