Common interface for score-based multi-label classifiers. A multi-label classifier can predict the occurrence of multiple class labels at once based on a decision score (a real number) computed for each class.
Namespace: Accord.MachineLearningAccord (in Accord.dll) Version: 3.8.0
Syntaxpublic interface IMultilabelRefScoreClassifier<TInput, TClasses> : IMultilabelScoreClassifierBase<TInput, TClasses>
Public Interface IMultilabelRefScoreClassifier(Of TInput, TClasses) Inherits IMultilabelScoreClassifierBase(Of TInput, TClasses)Type Parameters
Predicts a class label vector for the given input vector, returning a numerical score measuring the strength of association of the input vector to each of the possible classes.
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 the given input vector, returning a numerical score measuring the strength of association of the input vector to each of the possible classes.
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.) Top See AlsoRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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