Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models.HigherOrderHMM.Type

Packages that use HigherOrderHMM.Type

Package	Description
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models	The package provides different implementations of hidden Markov models based on AbstractHMM.

Uses of HigherOrderHMM.Type in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models

Fields in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models declared as HigherOrderHMM.Type

Modifier and Type	Field and Description
protected HigherOrderHMM.Type	DifferentiableHigherOrderHMM.score The type of the score that is evaluated

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models that return HigherOrderHMM.Type

Modifier and Type	Method and Description
static HigherOrderHMM.Type	HigherOrderHMM.Type.valueOf(String name) Returns the enum constant of this type with the specified name.
static HigherOrderHMM.Type[]	HigherOrderHMM.Type.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models with parameters of type HigherOrderHMM.Type

Modifier and Type	Method and Description
protected void	HigherOrderHMM.fillBwdOrViterbiMatrix(HigherOrderHMM.Type t, int startPos, int endPos, double weight, Sequence seq) This method computes the entries of the backward or the viterbi matrix.