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Packages that use HiddenMarkovModel | |
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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 |
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Methods in org.encog.ml.hmm that return HiddenMarkovModel | |
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HiddenMarkovModel |
HiddenMarkovModel.clone()
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HiddenMarkovModel |
HiddenMarkovModel.cloneStructure()
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Uses of HiddenMarkovModel in org.encog.ml.hmm.alog |
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Methods in org.encog.ml.hmm.alog with parameters of type HiddenMarkovModel | |
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protected void |
ForwardBackwardScaledCalculator.computeAlpha(HiddenMarkovModel hmm,
MLDataSet oseq)
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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)
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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)
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Constructors in org.encog.ml.hmm.alog with parameters of type HiddenMarkovModel | |
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ForwardBackwardCalculator(MLDataSet oseq,
HiddenMarkovModel hmm)
Construct the forward/backward calculator. |
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ForwardBackwardCalculator(MLDataSet oseq,
HiddenMarkovModel hmm,
EnumSet<ForwardBackwardCalculator.Computation> flags)
Construct the object. |
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ForwardBackwardScaledCalculator(MLDataSet oseq,
HiddenMarkovModel hmm)
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ForwardBackwardScaledCalculator(MLDataSet oseq,
HiddenMarkovModel hmm,
EnumSet<ForwardBackwardCalculator.Computation> flags)
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MarkovGenerator(HiddenMarkovModel hmm)
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ViterbiCalculator(MLDataSet oseq,
HiddenMarkovModel hmm)
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Uses of HiddenMarkovModel in org.encog.ml.hmm.train.bw |
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Methods in org.encog.ml.hmm.train.bw with parameters of type HiddenMarkovModel | |
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abstract double[][][] |
BaseBaumWelch.estimateXi(MLDataSet sequence,
ForwardBackwardCalculator fbc,
HiddenMarkovModel hmm)
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double[][][] |
TrainBaumWelchScaled.estimateXi(MLDataSet sequence,
ForwardBackwardCalculator fbc,
HiddenMarkovModel hmm)
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double[][][] |
TrainBaumWelch.estimateXi(MLDataSet sequence,
ForwardBackwardCalculator fbc,
HiddenMarkovModel hmm)
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abstract ForwardBackwardCalculator |
BaseBaumWelch.generateForwardBackwardCalculator(MLDataSet sequence,
HiddenMarkovModel hmm)
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ForwardBackwardCalculator |
TrainBaumWelchScaled.generateForwardBackwardCalculator(MLDataSet sequence,
HiddenMarkovModel hmm)
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ForwardBackwardCalculator |
TrainBaumWelch.generateForwardBackwardCalculator(MLDataSet sequence,
HiddenMarkovModel hmm)
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Constructors in org.encog.ml.hmm.train.bw with parameters of type HiddenMarkovModel | |
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BaseBaumWelch(HiddenMarkovModel hmm,
MLSequenceSet training)
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TrainBaumWelch(HiddenMarkovModel hmm,
MLSequenceSet training)
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TrainBaumWelchScaled(HiddenMarkovModel hmm,
MLSequenceSet training)
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Uses of HiddenMarkovModel in org.encog.ml.hmm.train.kmeans |
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Constructors in org.encog.ml.hmm.train.kmeans with parameters of type HiddenMarkovModel | |
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TrainKMeans(HiddenMarkovModel method,
MLSequenceSet sequences)
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