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## Package de.jstacs.sequenceScores.statisticalModels.trainable.hmm

The package provides all interfaces and classes for a hidden Markov model (HMM).

See:
Description

Class Summary
AbstractHMM | This class is the super class of all implementations hidden Markov models (HMMs) in Jstacs.
HMMFactory | This class allows to create some frequently used HMMs.
HMMFactory.PseudoTransitionElement | This class is used as place holder for a later `BasicHigherOrderTransition.AbstractTransitionElement`.

Enum Summary
HMMFactory.HMMType | This enum defines some standard architecture of profile HMMs.

## Package de.jstacs.sequenceScores.statisticalModels.trainable.hmm Description

The package provides all interfaces and classes for a hidden Markov model (HMM). It provides different implementations for states, transitions, parameter sets for training, and discrete as well as continuous emissions.

Since:
  Jstacs 1.5
See Also:
  `AbstractHMM`, `State`, `Transition`, `HMMTrainingParameterSet`

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