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See:
Description
Class Summary | |
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BaumWelchParameterSet | This class implements an HMMTrainingParameterSet for the Baum-Welch training of an AbstractHMM . |
HMMTrainingParameterSet | This class implements an abstract ParameterSet that is used for the 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. |
MultiThreadedTrainingParameterSet | This class is the super class for any MaxHMMTrainingParameterSet that
is used for a multi-threaded 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 . |
The package provides all classes used to determine the training algorithm of a hidden Markov model.
HMMTrainingParameterSet
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