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