Package | Description |
---|---|
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.models |
The package provides different implementations of hidden Markov models based on
AbstractHMM . |
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training |
The package provides all classes used to determine the training algorithm of a hidden Markov model.
|
Class and Description |
---|
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. |
Class and Description |
---|
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. |
SamplingHMMTrainingParameterSet
This class contains the parameters for training training an
AbstractHMM using a sampling strategy. |
Class and Description |
---|
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. |