|
ILikelihoodTaggerTInput Methods |
Methods| Name | Description | |
|---|---|---|
 | Decide(TInput) |
Computes a class-label decision for a given input.
(Inherited from IClassifierTInput, TClasses.) |
| Decide(TInput) |
Computes class-label decisions for each vector in the given input.
(Inherited from IClassifierTInput, TClasses.) |
| Decide(TInput, TClasses) |
Computes class-label decisions for each vector in the given input.
(Inherited from IClassifierTInput, TClasses.) |
| Decide(TInput, TClasses) |
Computes class-label decisions for the given input.
(Inherited from IMultilabelClassifierTInput, TClasses.) |
| LogLikelihood(TInput) |
Predicts a the probability that the sequence vector
has been generated by this log-likelihood tagger.
|
| LogLikelihood(TInput) |
Predicts a the log-likelihood that the sequence vector
has been generated by this log-likelihood tagger.
|
| LogLikelihood(TInput, Int32) |
Predicts a the log-likelihood that the sequence vector
has been generated by this log-likelihood tagger.
|
| LogLikelihood(TInput, Double) |
Predicts a the log-likelihood that the sequence vector
has been generated by this log-likelihood tagger.
|
| LogLikelihood(TInput, Int32) |
Predicts a the log-likelihood that the sequence vector
has been generated by this log-likelihood tagger.
|
| LogLikelihood(TInput, Int32, Double) |
Predicts a the log-likelihood that the sequence vector
has been generated by this log-likelihood tagger.
|
| 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.
|
| 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 probabilities 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 probabilities 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 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 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 probabilities for each of the observations in
the sequence vector assuming each of the possible states in the
tagger model.
|
| Probability(TInput) |
Predicts a the probability that the sequence vector
has been generated by this log-likelihood tagger.
|
| Probability(TInput) |
Predicts a the probability that the sequence vector
has been generated by this log-likelihood tagger.
|
| Probability(TInput, Int32) |
Predicts a the probability that the sequence vector
has been generated by this log-likelihood tagger.
|
| Probability(TInput, Double) |
Predicts a the probability that the sequence vector
has been generated by this log-likelihood tagger.
|
| Probability(TInput, Int32) |
Predicts a the probability that the sequence vector
has been generated by this log-likelihood tagger.
|
| Probability(TInput, Int32, Double) |
Predicts a the probability that the sequence vector
has been generated by this log-likelihood tagger.
|
| Scores(TInput) |
Computes numerical scores measuring the association between
each of the given sequence vectors and each
possible class.
(Inherited from IScoreTaggerTInput.) |
| Scores(TInput) |
Computes numerical scores measuring the association between
each of the given sequences vectors and each
possible class.
(Inherited from IScoreTaggerTInput.) |
| Scores(TInput, Double) |
Computes numerical scores measuring the association between
each of the given sequence vectors and each
possible class.
(Inherited from IScoreTaggerTInput.) |
| Scores(TInput, Int32) |
Computes numerical scores measuring the association between
each of the given sequence vectors and each
possible class.
(Inherited from IScoreTaggerTInput.) |
| Scores(TInput, Double) |
Computes numerical scores measuring the association between
each of the given sequences vectors and each
possible class.
(Inherited from IScoreTaggerTInput.) |
| Scores(TInput, Int32) |
Computes numerical scores measuring the association between
each of the given sequences vectors and each
possible class.
(Inherited from IScoreTaggerTInput.) |
| Scores(TInput, Int32, Double) |
Computes numerical scores measuring the association between
each of the given sequence vectors and each
possible class.
(Inherited from IScoreTaggerTInput.) |
| Scores(TInput, Int32, Double) |
Computes numerical scores measuring the association between
each of the given sequences vectors and each
possible class.
(Inherited from IScoreTaggerTInput.) |
| Transform(TInput) |
Applies the transformation to an input, producing an associated output.
(Inherited from ICovariantTransformTInput, TOutput.) |
| Transform(TInput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from ICovariantTransformTInput, TOutput.) |
| Transform(TInput, TOutput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from ITransformTInput, TOutput.) |
See Also