Package | Description |
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dev.nm.stat.hmm.mixture |
Modifier and Type | Class and Description |
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class |
MixtureHMMEM
The EM algorithm is used to find the unknown parameters of a hidden Markov
model (HMM) by making use of the forward-backward algorithm.
|
Modifier and Type | Field and Description |
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MixtureHMM |
MixtureHMMEM.TrainedModel.model
the newly trained model as a result of the EM algorithm
|
Modifier and Type | Method and Description |
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static MixtureHMMEM.TrainedModel |
MixtureHMMEM.train(MixtureHMM model0,
double[] observations)
Constructs a trained mixture hidden Markov model, one iteration.
|
Constructor and Description |
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MixtureHMM(MixtureHMM model)
Copy constructor.
|
MixtureHMMEM(double[] observations,
MixtureHMM model0,
double epsilon,
int maxIterations)
Constructs a mixture HMM model by training an initial model using the
Baum-Welch algorithm.
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