|
HiddenMarkovModelTDistribution, TObservationLogLikelihoods Method |
Overload List| Name | Description | |
|---|---|---|
 | LogLikelihoods(TInput) |
Predicts a the log-likelihood for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
(Inherited from LikelihoodTaggerBaseTInput.) |
| LogLikelihoods(TInput) |
Predicts a the log-likelihood for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
(Inherited from LikelihoodTaggerBaseTInput.) |
| LogLikelihoods(TInput, Int32) |
Predicts a the log-likelihood for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
(Inherited from LikelihoodTaggerBaseTInput.) |
| LogLikelihoods(TInput, Double) |
Predicts a the log-likelihood for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
(Inherited from LikelihoodTaggerBaseTInput.) |
| LogLikelihoods(TInput, Int32) |
Predicts a the log-likelihood for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
(Inherited from LikelihoodTaggerBaseTInput.) |
| LogLikelihoods(TObservation, Double) |
Predicts a the log-likelihood for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
(Overrides LikelihoodTaggerBaseTInputLogLikelihoods(TInput, Double).) |
| LogLikelihoods(TInput, Int32, Double) |
Predicts a the log-likelihood for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
(Inherited from LikelihoodTaggerBaseTInput.) |
| LogLikelihoods(TObservation, Int32, Double) |
Predicts a the log-likelihood for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
(Overrides LikelihoodTaggerBaseTInputLogLikelihoods(TInput, Int32, Double).) |
See Also