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

org.encog.ml.hmm.alog.ForwardBackwardScaledCalculator
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. This version makes use of scaling, and will not generate underflows with long sequences.

  public boolean isDiscrete() {
    return !isContinuous();
  }


  public double lnProbability(final MLDataSet seq) {
    return (new ForwardBackwardScaledCalculator(seq, this)).lnProbability();
  }

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  }


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

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Related Classes of org.encog.ml.hmm.alog.ForwardBackwardScaledCalculator

org.encog.ml.data.MLDataPair

org.encog.ml.hmm.HiddenMarkovModel

org.encog.ml.hmm.train.bw.TrainBaumWelchScaled

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