gmm
Class AStar

java.lang.Object
  gmm.GMMEstimator
      gmm.AStar

public class AStar
extends GMMEstimator

This class implements the A* search for finding the maximum likelihood parameters for GMM.

Field Summary

Fields inherited from class gmm.GMMEstimator

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

Constructor Summary

AStar(boolean GMM, float[][] Q, int heuristic, int bw)

Method Summary

boolean	finishedWithBeam()
int	getNodesGenerated()
float	getNodesGeneratedAsMultiple()
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

AStar

public AStar(boolean GMM,
             float[][] Q,
             int heuristic,
             int bw)

Method Detail

getNodesGenerated

public int getNodesGenerated()

getNodesGeneratedAsMultiple

public float getNodesGeneratedAsMultiple()

Returns:

the number of nodes generated as a multiple of the minimum possible number.

finishedWithBeam

public boolean finishedWithBeam()

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