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| Packages that use HigherOrderHMM.Type | |
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| 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 |
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| Fields in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models declared as HigherOrderHMM.Type | |
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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 | |
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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 | |
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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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