|
LikelihoodTaggerBaseTInputProbabilities Method |
Overload List| Name | Description | |
|---|---|---|
 | Probabilities(TInput) |
Predicts a the probabilities for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
|
| Probabilities(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.
|
| Probabilities(TInput, Double) |
Predicts a the probabilities for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
|
| Probabilities(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.
|
| Probabilities(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.
|
| Probabilities(TInput, Int32) |
Predicts a the probabilities for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
|
| Probabilities(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.
|
| Probabilities(TInput, Int32, Double) |
Predicts a the probabilities for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
|
See Also