HiddenMarkovModelTDistribution, TObservation Properties |
The HiddenMarkovModelTDistribution, TObservation generic type exposes the following members.
Name | Description | |
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Algorithm |
Gets or sets the algorithm
that should be used to compute solutions to this model's LogLikelihood(T[] input)
evaluation, Decide(T[] input) decoding and LogLikelihoods(T[] input)
posterior problems.
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Emissions |
Gets the Emission matrix (B) for this model.
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LogInitial |
Gets the log-initial probabilities log(pi) for this model.
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LogTransitions |
Gets the log-transition matrix log(A) for this model.
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NumberOfClasses |
Gets the number of classes expected and recognized by the classifier.
(Inherited from TaggerBaseTInput.) | |
NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.) | |
NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.) | |
NumberOfStates |
Gets the number of states of this model.
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States | Obsolete.
Gets the number of states of this model.
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Tag |
Gets or sets a user-defined tag associated with this model.
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