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## 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
`GaussianPriorImpl()`

Method Summary
`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

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