Package weka.classifiers.bayes.blr

Class 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

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method 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 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