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).
|
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states |
The package provides all interfaces and classes for states used in hidden Markov models.
|
Modifier and Type | Field and Description |
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protected State[] |
AbstractHMM.states
The (hidden) states of the HMM.
|
Modifier and Type | Interface and Description |
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interface |
DifferentiableState
This interface declares a method that allows to evaluate the gradient which is essential for numerical optimization.
|
interface |
SamplingState |
interface |
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.
|
Modifier and Type | Class and Description |
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class |
SimpleDifferentiableState
|
class |
SimpleSamplingState
This class implements a state that can be used for a HMM that obtains its parameters from sampling.
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class |
SimpleState
|