Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models.SamplingHigherOrderHMM.ViterbiComputation

Packages that use SamplingHigherOrderHMM.ViterbiComputation

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

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

Uses of SamplingHigherOrderHMM.ViterbiComputation in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models that return SamplingHigherOrderHMM.ViterbiComputation

static SamplingHigherOrderHMM.ViterbiComputation	SamplingHigherOrderHMM.ViterbiComputation.valueOf(String name) Returns the enum constant of this type with the specified name.
static SamplingHigherOrderHMM.ViterbiComputation[]	SamplingHigherOrderHMM.ViterbiComputation.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 SamplingHigherOrderHMM.ViterbiComputation

Pair<IntList,Double>

SamplingHigherOrderHMM.getViterbiPath(int startPos, int endPos, Sequence seq, SamplingHigherOrderHMM.ViterbiComputation compute) This method returns a viterbi path that is the optimum for the choosen ViterbiComputation method