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IMulticlassLikelihoodClassifierBaseTInput, TClasses Interface |
Common interface for generative multi-class classifiers. A multi-class
classifier can predicts a class label based on an input instance vector.
Namespace: Accord.MachineLearning
Assembly: Accord (in Accord.dll) Version: 3.8.0
Syntaxpublic interface IMulticlassLikelihoodClassifierBase<TInput, TClasses> : IMulticlassScoreClassifierBase<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 | |
|---|---|---|
 | LogLikelihood(TInput, TClasses) |
Predicts a class label for each input vector, returning the
log-likelihood that each vector belongs to its predicted class.
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| LogLikelihood(TInput, TClasses, Double) |
Predicts a class label for each input vector, returning the
log-likelihood that each vector belongs to its predicted class.
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| Probability(TInput, TClasses) |
Predicts a class label for each input vector, returning the
probability that each vector belongs to its predicted class.
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| Probability(TInput, TClasses, Double) |
Predicts a class label for each input vector, returning the
probability that each vector belongs to its predicted class.
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| Score(TInput, TClasses) |
Predicts a class label for each input vector, returning a
numerical score measuring the strength of association of the
input vector to the most strongly related class.
(Inherited from IMulticlassScoreClassifierBaseTInput, TClasses.) |
| Score(TInput, TClasses, Double) |
Predicts a class label for each input vector, returning a
numerical score measuring the strength of association of the
input vector to the most strongly related class.
(Inherited from IMulticlassScoreClassifierBaseTInput, TClasses.) |
See Also