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IMultilabelLikelihoodClassifierBaseTInput, TClasses Interface |
Common interface for generative multi-label classifiers. A multi-label
classifier can predict the occurrence of multiple class labels at once.
Namespace: Accord.MachineLearning
Assembly: Accord (in Accord.dll) Version: 3.8.0
Syntaxpublic interface IMultilabelLikelihoodClassifierBase<TInput, TClasses> : IMultilabelScoreClassifierBase<TInput, TClasses>
Type Parameters
- TInput
- The data type for the input data. Default is double[].
- TClasses
- The data type for the class labels. Default is int[].
Methods| Name | Description | |
|---|---|---|
 | LogLikelihoods(TInput, TClasses) |
Predicts a class label vector for each input vector, returning the
log-likelihoods of the input vector belonging to each possible class.
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| LogLikelihoods(TInput, TClasses, Double) |
Predicts a class label vector for each input vector, returning the
log-likelihoods of the input vector belonging to each possible class.
|
| Probabilities(TInput, TClasses) |
Predicts a class label vector for each input vector, returning the
probabilities of the input vector belonging to each possible class.
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| Probabilities(TInput, TClasses, Double) |
Predicts a class label vector for each input vector, returning the
probabilities of the input vector belonging to each possible class.
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| Scores(TInput, TClasses) |
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
(Inherited from IMultilabelScoreClassifierBaseTInput, TClasses.) |
| Scores(TInput, TClasses, Double) |
Predicts a class label vector for each input vector, returning a
numerical score measuring the strength of association of the input vector
to each of the possible classes.
(Inherited from IMultilabelScoreClassifierBaseTInput, TClasses.) |
See Also