IMultilabelScoreClassifier< TInput, 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

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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

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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 IMultilabelScoreClassifier< TInput, TClasses> type exposes the following members.

Properties

	Name	Description
	NumberOfClasses	Gets or sets the number of classes expected and recognized by the classifier. (Inherited from IClassifier.)
	NumberOfInputs	Gets or sets the number of inputs accepted by the model. (Inherited from ITransform.)
	NumberOfOutputs	Gets or sets the number of outputs generated by the model. (Inherited from ITransform.)

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Methods

	Name	Description
	Decide(TInput)	Computes a class-label decision for a given input. (Inherited from IClassifier<TInput, TClasses>.)
	Decide(TInput[])	Computes class-label decisions for each vector in the given input. (Inherited from IClassifier<TInput, TClasses>.)
	Decide(TInput[],TClasses[])	Computes class-label decisions for each vector in the given input. (Inherited from IClassifier<TInput, 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 IMultilabelOutScoreClassifier<TInput, 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 IMultilabelRefScoreClassifier<TInput, 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 IMultilabelScoreClassifierBase<TInput, 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 IMultilabelOutScoreClassifier<TInput, 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 IMultilabelRefScoreClassifier<TInput, 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 IMultilabelScoreClassifierBase<TInput, TClasses>.)
	Transform(TInput)	Applies the transformation to an input, producing an associated output. (Inherited from ICovariantTransform<TInput, TOutput>.)
	Transform(TInput[])	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from ICovariantTransform<TInput, TOutput>.)
	Transform(TInput[],TOutput[])	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from ITransform<TInput, TOutput>.)

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Reference

Accord.MachineLearning Namespace

IMultilabelScoreClassifier< AddLanguageSpecificTextSet("LST3A3ACF8D_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TInput, TClasses> AddLanguageSpecificTextSet("LST3A3ACF8D_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Interface

Type Parameters

Reference

IMultilabelScoreClassifier< TInput, TClasses> Interface