Package | Description |
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de.jstacs.sequenceScores.statisticalModels.trainable.hmm |
The package provides all interfaces and classes for a hidden Markov model (HMM).
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de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states |
The package provides all interfaces and classes for states used in hidden Markov models.
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Class and Description |
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State
This interface declares the methods of any state used in a hidden Markov model.
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Class and Description |
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DifferentiableState
This interface declares a method that allows to evaluate the gradient which is essential for numerical optimization.
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SamplingState |
SimpleState |
State
This interface declares the methods of any state used in a hidden Markov model.
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TrainableState
This class implements method that allows to fill a statistic, which is used to estimate the parameters of a state during, for instance, the Baum-Welch training.
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