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Showing content from http://accord-framework.net/docs/html/T_Accord_MachineLearning_IMultilabelScoreClassifier_2.htm below:

IMultilabelScoreClassifierTInput, 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 IMultilabelScoreClassifier<TInput, TClasses> : IMultilabelOutScoreClassifier<TInput, TClasses>, 
	IMultilabelScoreClassifierBase<TInput, TClasses>, IMultilabelRefScoreClassifier<TInput, TClasses[]>, 
	IMultilabelScoreClassifierBase<TInput, TClasses[]>, IClassifier<TInput, TClasses>, 
	IClassifier, ITransform<TInput, TClasses>, ICovariantTransform<TInput, TClasses>, 
	ITransform

Public Interface IMultilabelScoreClassifier(Of TInput, TClasses)
	Inherits IMultilabelOutScoreClassifier(Of TInput, TClasses), IMultilabelScoreClassifierBase(Of TInput, TClasses), 
	IMultilabelRefScoreClassifier(Of TInput, TClasses()), IMultilabelScoreClassifierBase(Of TInput, TClasses()), 
	IClassifier(Of TInput, TClasses), IClassifier, ITransform(Of TInput, TClasses), 
	ICovariantTransform(Of TInput, TClasses), ITransform
Request Example View Source Type Parameters
TInput
The data type for the input data. Default is double[].
TClasses
The data type for the class labels. Default is int[].

The IMultilabelScoreClassifierTInput, TClasses type exposes the following members.

Properties 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.) 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.

(Inherited from IMultilabelOutScoreClassifierTInput, TClasses.) 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.

(Inherited from IMultilabelRefScoreClassifierTInput, TClasses.) 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.

(Inherited from IMultilabelOutScoreClassifierTInput, 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.

(Inherited from IMultilabelRefScoreClassifierTInput, 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.) 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.) Top See Also

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