Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES

## 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

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES