Uses of Interface
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states.State

Packages that use State

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

Fields in de.jstacs.sequenceScores.statisticalModels.trainable.hmm declared as State

protected State[]

AbstractHMM.states The (hidden) states of the HMM.

Uses of State in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states

Subinterfaces of State in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states

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.

Classes in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.states that implement State

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