weka.classifiers.bayes.blr

Class GaussianPriorImpl

java.lang.Object

weka.classifiers.bayes.blr.Prior

weka.classifiers.bayes.blr.GaussianPriorImpl

All Implemented Interfaces:

java.io.Serializable, RevisionHandler

public class GaussianPriorImpl
extends Prior

Implementation of the Gaussian Prior update function based on CLG Algorithm with a certain Trust Region Update. The values are updated in the BayesianLogisticRegressionV variables used by the algorithm.

Version:

$Revision: 1.2 $

Author:

Navendu Garg(gargnav@iit.edu)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
GaussianPriorImpl()

Method Summary

Modifier and Type	Method and Description
void	computeLoglikelihood(double[] betas, Instances instances) This method calls the log-likelihood implemented in the Prior abstract class.
void	computePenalty(double[] betas, double[] hyperparameters) This function computes the penalty term specific to Gaussian distribution.
java.lang.String	getRevision() Returns the revision string.
double	update(int j, Instances instances, double beta, double hyperparameter, double[] r, double deltaV) Update function specific to Laplace Prior.

Methods inherited from class weka.classifiers.bayes.blr.Prior

computelogLikelihood, getLoglikelihood, getLogPosterior, getPenalty

Methods inherited from class java.lang.Object

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

Constructor Detail

GaussianPriorImpl

public GaussianPriorImpl()

Method Detail

update

public double update(int j,
                     Instances instances,
                     double beta,
                     double hyperparameter,
                     double[] r,
                     double deltaV)

Update function specific to Laplace Prior.

Overrides:

update in class Prior

computeLoglikelihood

public void computeLoglikelihood(double[] betas,
                                 Instances instances)

This method calls the log-likelihood implemented in the Prior abstract class.

Parameters:

betas -

instances -

computePenalty

public void computePenalty(double[] betas,
                           double[] hyperparameters)

This function computes the penalty term specific to Gaussian distribution.

Overrides:

computePenalty in class Prior

Parameters:

betas -

hyperparameters -

getRevision

public java.lang.String getRevision()

Returns the revision string.

Returns:

the revision