Examples of ForwardBackwardCalculator

org.encog.ml.hmm.alog.ForwardBackwardCalculator
The forward-backward algorithm is an inference algorithm for hidden Markov models which computes the posterior marginals of all hidden state variables given a sequence of observations.

Examples of org.encog.ml.hmm.alog.ForwardBackwardCalculator

    return (new ForwardBackwardScaledCalculator(seq, this)).lnProbability();
  }


  @Override
  public double probability(final MLDataSet seq) {
    return (new ForwardBackwardCalculator(seq, this)).probability();
  }

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Examples of org.encog.ml.hmm.alog.ForwardBackwardCalculator

      Arrays.fill(aijNum[i], 0.);
    }


    int g = 0;
    for (final MLDataSet obsSeq : this.training.getSequences()) {
      final ForwardBackwardCalculator fbc = generateForwardBackwardCalculator(
          obsSeq, this.method);


      final double xi[][][] = estimateXi(obsSeq, fbc, this.method);
      final double gamma[][] = allGamma[g++] = estimateGamma(xi, fbc);

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Examples of org.encog.ml.hmm.alog.ForwardBackwardCalculator

  }


  @Override
  public ForwardBackwardCalculator generateForwardBackwardCalculator(
      final MLDataSet sequence, final HiddenMarkovModel hmm) {
    return new ForwardBackwardCalculator(sequence, hmm,
        EnumSet.allOf(ForwardBackwardCalculator.Computation.class));
  }

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