Example usage for org.apache.mahout.classifier.sequencelearning.hmm HmmTrainer trainBaumWelch

Introduction

In this page you can find the example usage for org.apache.mahout.classifier.sequencelearning.hmm HmmTrainer trainBaumWelch.

Prototype

public static HmmModel trainBaumWelch(HmmModel initialModel, int[] observedSequence, double epsilon,
        int maxIterations, boolean scaled) 

Source Link

Document

Iteratively train the parameters of the given initial model wrt the observed sequence using Baum-Welch training.

Usage

From source file:org.eclipse.tracecompass.internal.totalads.algorithms.hiddenmarkovmodel.HmmMahout.java

License:Open Source License

/**
 * Trains an HMM on a sequence using the BaumWelch algorithm
 *
 * @param numIterations/*from www  .j a  v a 2  s . c  om*/
 *            Number of Iterations
 * @param observedSequence
 *            The sequence
 */
public void learnUsingBaumWelch(Integer numIterations, Integer[] observedSequence) {

    int[] seq = new int[observedSequence.length];
    for (int i = 0; i < seq.length; i++) {
        seq[i] = observedSequence[i];
    }
    HmmTrainer.trainBaumWelch(fHmm, seq, 0.0001, numIterations, true);

}

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From source file:org.eclipse.tracecompass.internal.totalads.algorithms.hiddenmarkovmodel.HmmMahout.java

License:Open Source License

/**
 * Trains an HMM on a sequence using the BaumWelch algorithm
 *
 * @param numIterations/*from  www  . j  a  v a2  s .c om*/
 *            Number of iterations
 * @param observedSequence
 *            The sequence
 */
public void learnUsingBaumWelch(Integer numIterations, int[] observedSequence) {

    HmmTrainer.trainBaumWelch(fHmm, observedSequence, 0.0001, numIterations, true);

}

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