Package | Description |
---|---|
org.encog.ml.hmm.alog | |
org.encog.ml.hmm.train.bw |
Modifier and Type | Class and Description |
---|---|
class |
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.
|
Modifier and Type | Method and Description |
---|---|
abstract ForwardBackwardCalculator |
BaseBaumWelch.generateForwardBackwardCalculator(MLDataSet sequence,
HiddenMarkovModel hmm) |
ForwardBackwardCalculator |
TrainBaumWelchScaled.generateForwardBackwardCalculator(MLDataSet sequence,
HiddenMarkovModel hmm) |
ForwardBackwardCalculator |
TrainBaumWelch.generateForwardBackwardCalculator(MLDataSet sequence,
HiddenMarkovModel hmm) |
Modifier and Type | Method and Description |
---|---|
protected double[][] |
BaseBaumWelch.estimateGamma(double[][][] xi,
ForwardBackwardCalculator fbc) |
protected double[][] |
TrainBaumWelch.estimateGamma(double[][][] xi,
ForwardBackwardCalculator fbc) |
abstract double[][][] |
BaseBaumWelch.estimateXi(MLDataSet sequence,
ForwardBackwardCalculator fbc,
HiddenMarkovModel hmm) |
double[][][] |
TrainBaumWelchScaled.estimateXi(MLDataSet sequence,
ForwardBackwardCalculator fbc,
HiddenMarkovModel hmm) |
double[][][] |
TrainBaumWelch.estimateXi(MLDataSet sequence,
ForwardBackwardCalculator fbc,
HiddenMarkovModel hmm) |
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