gmm
Class GreedyDK

java.lang.Object
  gmm.GMMEstimator
      gmm.GreedyDK

public class GreedyDK
extends GMMEstimator

This class implements the Mallows Model estimator based on the greedy algorithm of Davenport and Kalagnanam for finding the modal ranking (the consensus ranking). It doesn't handle the Generalized Mallows Model.

Field Summary

Fields inherited from class gmm.GMMEstimator

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

Constructor Summary

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

Method Summary

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

GreedyDK

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

Method Detail

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