gmm
Class FVHeuristic

java.lang.Object
  gmm.GMMEstimator
      gmm.FVHeuristic

public class FVHeuristic
extends GMMEstimator

This class implements the GMM estimator based on the Fligner-Verducci heuristic described in "Multistage Ranking Models".

Field Summary

Fields inherited from class gmm.GMMEstimator

GMM, logL, maxIters, n, pi, Q, runningTime, theta, V

Constructor Summary

FVHeuristic(boolean GMM, float[][] Q)

Method Summary

int	getLocalSearchSteps()
void	run() This method causes the estimator to run, and estimate the GMM parameters.

Methods inherited from class gmm.GMMEstimator

computeLogL, computeThetas, computeVjs, getAvgDk, getLogL, getLogLForQ, getPi, getRunningTime, lnPsiJPrime, minimizeF, minimizeFj, minValueOfFj, printLearnedModel, PsiJ, sumOfLnPsiJPrime

Methods inherited from class java.lang.Object

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

Constructor Detail

FVHeuristic

public FVHeuristic(boolean GMM,
                   float[][] Q)

Method Detail

getLocalSearchSteps

public int getLocalSearchSteps()

run

public void run()
         throws java.lang.Exception

Description copied from class: GMMEstimator

This method causes the estimator to run, and estimate the GMM parameters. Any estimator must provide a concrete implementation of this method.

Specified by:

run in class GMMEstimator

Throws:

java.lang.Exception