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ILikelihoodTaggerTInputLogLikelihoods 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.
|
| 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.
|
| 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.
|
| 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.
|
| 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.
|
| 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.
|
| 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.
|
| 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.
|
See Also