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Packages that use State | |
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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. |
Uses of State in de.jstacs.sequenceScores.statisticalModels.trainable.hmm |
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Fields in de.jstacs.sequenceScores.statisticalModels.trainable.hmm declared as State | |
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protected State[] |
AbstractHMM.states
The (hidden) states of the HMM. |
Uses of State in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states |
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Subinterfaces of State in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states | |
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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
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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. |
Classes in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states that implement State | |
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class |
SimpleDifferentiableState
This class implements a State based on Emission that allows to reuse Emission s for different State s. |
class |
SimpleSamplingState
This class implements a state that can be used for a HMM that obtains its parameters from sampling. |
class |
SimpleState
This class implements a State based on Emission that allows to reuse Emission s for different State s. |
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