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## Uses of Class
org.encog.ml.hmm.HiddenMarkovModel

Packages that use HiddenMarkovModel
org.encog.ml.hmm |
org.encog.ml.hmm.alog |
org.encog.ml.hmm.train.bw |
org.encog.ml.hmm.train.kmeans |

Uses of HiddenMarkovModel in org.encog.ml.hmm

Methods in org.encog.ml.hmm that return HiddenMarkovModel
`HiddenMarkovModel` | `HiddenMarkovModel.clone()`
`HiddenMarkovModel` | `HiddenMarkovModel.cloneStructure()`

Uses of HiddenMarkovModel in org.encog.ml.hmm.alog

Methods in org.encog.ml.hmm.alog with parameters of type HiddenMarkovModel
`protected void` | `ForwardBackwardScaledCalculator.computeAlpha(HiddenMarkovModel hmm, MLDataSet oseq)`
`protected void` | `ForwardBackwardCalculator.computeAlpha(HiddenMarkovModel hmm, MLDataSet oseq)` Compute alpha.
`protected void` | `ForwardBackwardCalculator.computeAlphaInit(HiddenMarkovModel hmm, MLDataPair o, int i)` Compute the alpha init.
`protected void` | `ForwardBackwardCalculator.computeAlphaStep(HiddenMarkovModel hmm, MLDataPair o, int t, int j)` Compute the alpha step.
`protected void` | `ForwardBackwardScaledCalculator.computeBeta(HiddenMarkovModel hmm, MLDataSet oseq)`
`protected void` | `ForwardBackwardCalculator.computeBeta(HiddenMarkovModel hmm, MLDataSet oseq)` Compute the beta step.
`protected void` | `ForwardBackwardCalculator.computeBetaStep(HiddenMarkovModel hmm, MLDataPair o, int t, int i)` Compute the beta step.
`double` | `KullbackLeiblerDistanceCalculator.distance(HiddenMarkovModel hmm1, HiddenMarkovModel hmm2)`

Constructors in org.encog.ml.hmm.alog with parameters of type HiddenMarkovModel
`ForwardBackwardCalculator(MLDataSet oseq, HiddenMarkovModel hmm)` Construct the forward/backward calculator.
`ForwardBackwardCalculator(MLDataSet oseq, HiddenMarkovModel hmm, EnumSet<ForwardBackwardCalculator.Computation> flags)` Construct the object.
`ForwardBackwardScaledCalculator(MLDataSet oseq, HiddenMarkovModel hmm)`
`ForwardBackwardScaledCalculator(MLDataSet oseq, HiddenMarkovModel hmm, EnumSet<ForwardBackwardCalculator.Computation> flags)`
`MarkovGenerator(HiddenMarkovModel hmm)`
`ViterbiCalculator(MLDataSet oseq, HiddenMarkovModel hmm)`

Uses of HiddenMarkovModel in org.encog.ml.hmm.train.bw

Methods in org.encog.ml.hmm.train.bw with parameters of type HiddenMarkovModel
`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)`
`abstract ForwardBackwardCalculator` | `BaseBaumWelch.generateForwardBackwardCalculator(MLDataSet sequence, HiddenMarkovModel hmm)`
`ForwardBackwardCalculator` | `TrainBaumWelchScaled.generateForwardBackwardCalculator(MLDataSet sequence, HiddenMarkovModel hmm)`
`ForwardBackwardCalculator` | `TrainBaumWelch.generateForwardBackwardCalculator(MLDataSet sequence, HiddenMarkovModel hmm)`

Constructors in org.encog.ml.hmm.train.bw with parameters of type HiddenMarkovModel
`BaseBaumWelch(HiddenMarkovModel hmm, MLSequenceSet training)`
`TrainBaumWelch(HiddenMarkovModel hmm, MLSequenceSet training)`
`TrainBaumWelchScaled(HiddenMarkovModel hmm, MLSequenceSet training)`

Uses of HiddenMarkovModel in org.encog.ml.hmm.train.kmeans

Constructors in org.encog.ml.hmm.train.kmeans with parameters of type HiddenMarkovModel
`TrainKMeans(HiddenMarkovModel method, MLSequenceSet sequences)`

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