Package de.jstacs.models.hmm.states

The package provides all interfaces and classes for states used in hidden Markov models.

See:
Description

Interface Summary

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

Class Summary

SimpleDifferentiableState	This class implements a State based on Emission that allows to reuse Emissions for different States.
SimpleSamplingState	This class implements a state that can be used for a HMM that obtains its parameters from sampling.
SimpleState	This class implements a State based on Emission that allows to reuse Emissions for different States.

Package de.jstacs.models.hmm.states Description

The package provides all interfaces and classes for states used in hidden Markov models. Since states can share the same emission, the emissions build a subpackage.

Since:

Jstacs 1.5

See Also:

State, de.jstacs.models.hmm.states.emissions