Package de.jstacs.models.hmm.training

The package provides all classes used to determine the training algorithm of a hidden Markov model

See:
Description

Class Summary

BaumWelchParameterSet	This class implements an HMMTrainingParameterSet for the Baum-Welch training of an AbstractHMM.
MaxHMMTrainingParameterSet	This class is the super class for any HMMTrainingParameterSet that is used for a maximizing training algorithm of a hidden Markov model.
NumericalHMMTrainingParameterSet	This class implements an ParameterSet for numerical training of an AbstractHMM.
SamplingHMMTrainingParameterSet	This class contains the parameters for training training an AbstractHMM using a sampling strategy.
ViterbiParameterSet	This class implements an ParameterSet for the viterbi training of an AbstractHMM.

Package de.jstacs.models.hmm.training Description

The package provides all classes used to determine the training algorithm of a hidden Markov model.

Since:

Jstacs 1.5

See Also:

HMMTrainingParameterSet