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Showing content from http://accord-framework.net/docs/html/T_Accord_MachineLearning_IMultilabelRefScoreClassifier_2.htm below:

IMultilabelRefScoreClassifierTInput, TClasses Interface

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.MachineLearning
Assembly:

Accord (in Accord.dll) Version: 3.8.0

Syntax
public interface IMultilabelRefScoreClassifier<TInput, TClasses> : IMultilabelScoreClassifierBase<TInput, TClasses>
Public Interface IMultilabelRefScoreClassifier(Of TInput, TClasses)
	Inherits IMultilabelScoreClassifierBase(Of 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 Scores(TInput, TClasses)

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 Also

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