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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.

Accord (in Accord.dll) Version: 3.8.0

public interface IMultilabelScoreClassifier<TInput> : IMultilabelScoreClassifier<TInput, int>, 
	IMultilabelOutScoreClassifier<TInput, int>, IMultilabelScoreClassifierBase<TInput, int>, IMultilabelRefScoreClassifier<TInput, int[]>, 
	IMultilabelScoreClassifierBase<TInput, int[]>, IClassifier<TInput, int>, IClassifier, 
	ITransform<TInput, int>, ICovariantTransform<TInput, int>, ITransform, 
	IMultilabelScoreClassifier<TInput, double>, IMultilabelOutScoreClassifier<TInput, double>, 
	IMultilabelScoreClassifierBase<TInput, double>, IMultilabelRefScoreClassifier<TInput, double[]>, 
	IMultilabelScoreClassifierBase<TInput, double[]>, IClassifier<TInput, double>, 
	ITransform<TInput, double>, ICovariantTransform<TInput, double>, 
	IMultilabelRefScoreClassifier<TInput, bool[]>, IMultilabelScoreClassifierBase<TInput, bool[]>, 
	IMultilabelClassifier<TInput>, IMultilabelClassifier<TInput, int[]>, IClassifier<TInput, int[]>, 
	ITransform<TInput, int[]>, ICovariantTransform<TInput, int[]>, 
	IMultilabelClassifier<TInput, bool[]>, IClassifier<TInput, bool[]>, 
	ITransform<TInput, bool[]>, ICovariantTransform<TInput, bool[]>, 
	IMultilabelClassifier<TInput, double[]>, IClassifier<TInput, double[]>, 
	ITransform<TInput, double[]>, ICovariantTransform<TInput, double[]>

Public Interface IMultilabelScoreClassifier(Of TInput)
	Inherits IMultilabelScoreClassifier(Of TInput, Integer), IMultilabelOutScoreClassifier(Of TInput, Integer), 
	IMultilabelScoreClassifierBase(Of TInput, Integer), IMultilabelRefScoreClassifier(Of TInput, Integer()), 
	IMultilabelScoreClassifierBase(Of TInput, Integer()), IClassifier(Of TInput, Integer), 
	IClassifier, ITransform(Of TInput, Integer), ICovariantTransform(Of TInput, Integer), 
	ITransform, IMultilabelScoreClassifier(Of TInput, Double), IMultilabelOutScoreClassifier(Of TInput, Double), 
	IMultilabelScoreClassifierBase(Of TInput, Double), IMultilabelRefScoreClassifier(Of TInput, Double()), 
	IMultilabelScoreClassifierBase(Of TInput, Double()), IClassifier(Of TInput, Double), 
	ITransform(Of TInput, Double), ICovariantTransform(Of TInput, Double), 
	IMultilabelRefScoreClassifier(Of TInput, Boolean()), IMultilabelScoreClassifierBase(Of TInput, Boolean()), 
	IMultilabelClassifier(Of TInput), IMultilabelClassifier(Of TInput, Integer()), 
	IClassifier(Of TInput, Integer()), ITransform(Of TInput, Integer()), 
	ICovariantTransform(Of TInput, Integer()), IMultilabelClassifier(Of TInput, Boolean()), 
	IClassifier(Of TInput, Boolean()), ITransform(Of TInput, Boolean()), 
	ICovariantTransform(Of TInput, Boolean()), IMultilabelClassifier(Of TInput, Double()), 
	IClassifier(Of TInput, Double()), ITransform(Of TInput, Double()), 
	ICovariantTransform(Of TInput, Double())

TInput

The data type for the input data. Default is double[].

The IMultilabelScoreClassifierTInput type exposes the following members.

Computes a class-label decision for a given input.

Computes class-label decisions for each vector in the given input.

Computes class-label decisions for each vector in the given input.

Computes class-label decisions for the given input.

Computes a numerical score measuring the association between the given input vector and a given classIndex.

Computes a numerical score measuring the association between each of the given input vectors and the given classIndex.

Computes a numerical score measuring the association between each of the given input vectors and the given classIndex.

Computes a numerical score measuring the association between each of the given input vectors and the given classIndex.

Computes a numerical score measuring the association between each of the given input vectors and the given classIndex.

Computes a numerical score measuring the association between the given input vector and each class.

Computes a numerical score measuring the association between each of the given input vectors and each possible class.

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.

Computes a numerical score measuring the association between the given input vector and each class.

Computes a numerical score measuring the association between each of the given input vectors and each possible class.

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.

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.

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.

Views this instance as a multi-class score-based classifier.

Views this instance as a multi-class score-based classifier.

Applies the transformation to an input, producing an associated output.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

Applies the transformation to a set of input vectors, producing an associated set of output vectors.

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