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

Packages that use HigherOrderHMM.Type
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
`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
`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
`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.

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