Package | Description |
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de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models |
The package provides different implementations of hidden Markov models based on
AbstractHMM . |
Modifier and Type | Method and Description |
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static SamplingHigherOrderHMM.ViterbiComputation |
SamplingHigherOrderHMM.ViterbiComputation.valueOf(String name)
Returns the enum constant of this type with the specified name.
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static SamplingHigherOrderHMM.ViterbiComputation[] |
SamplingHigherOrderHMM.ViterbiComputation.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
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Modifier and Type | Method and Description |
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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
|