Uses of Package
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states

Packages that use de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states

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.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm

State
This interface declares the methods of any state used in a hidden Markov model.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states

DifferentiableState
This interface declares a method that allows to evaluate the gradient which is essential for numerical optimization.

SamplingState

SimpleState
This class implements a State based on Emission that allows to reuse Emissions for different States.

State
This interface declares the methods of any state used in a hidden Markov model.

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.