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

The package provides different implementations of hidden Markov models based on AbstractHMM

See:
Description

Class Summary

DifferentiableHigherOrderHMM	This class combines an HigherOrderHMM and a DifferentiableStatisticalModel by implementing some of the declared methods.
HigherOrderHMM	This class implements a higher order hidden Markov model.
SamplingHigherOrderHMM
SamplingPhyloHMM	This class implements an (higher order) HMM that contains multi-dimensional emissions described by a phylogenetic tree.

Enum Summary

HigherOrderHMM.Type	This enum defined different types of computations that will be done using the backward algorithm.
SamplingHigherOrderHMM.ViterbiComputation	Emumeration of all possible Viterbi-Path methods

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

The package provides different implementations of hidden Markov models based on AbstractHMM.

Since:

Jstacs 1.5