IMulticlassScoreClassifierTInput, TClasses Interface

Common interface for score-based multi-class classifiers. A multi-class classifier can predict to which class an instance belongs based on a decision score (a real number) that measures the association of the input with each class.

Namespace: Accord.MachineLearning
Assembly: Accord (in Accord.dll) Version: 3.8.0

Syntax

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public interface IMulticlassScoreClassifier<TInput, TClasses> : IMulticlassOutScoreClassifier<TInput, TClasses>, 
	IMulticlassScoreClassifierBase<TInput, TClasses>, IMultilabelOutScoreClassifier<TInput, TClasses>, 
	IMultilabelScoreClassifierBase<TInput, TClasses>, IMulticlassRefScoreClassifier<TInput, TClasses[]>, 
	IMultilabelRefScoreClassifier<TInput, TClasses[]>, IMultilabelScoreClassifierBase<TInput, TClasses[]>, 
	IClassifier<TInput, TClasses>, IClassifier, ITransform<TInput, TClasses>, 
	ICovariantTransform<TInput, TClasses>, ITransform

Public Interface IMulticlassScoreClassifier(Of TInput, TClasses)
	Inherits IMulticlassOutScoreClassifier(Of TInput, TClasses), IMulticlassScoreClassifierBase(Of TInput, TClasses), 
	IMultilabelOutScoreClassifier(Of TInput, TClasses), IMultilabelScoreClassifierBase(Of TInput, TClasses), 
	IMulticlassRefScoreClassifier(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 IMulticlassScoreClassifierTInput, 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 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.)
	Score(TInput, TClasses)	Predicts a class label for the input vector, returning a numerical score measuring the strength of association of the input vector to its most strongly related class. (Inherited from IMulticlassOutScoreClassifierTInput, TClasses.)
	Score(TInput, TClasses)	Predicts a class label for each input vector, returning a numerical score measuring the strength of association of the input vector to the most strongly related class. (Inherited from IMulticlassScoreClassifierBaseTInput, TClasses.)
	Score(TInput, TClasses, Double)	Predicts a class label for each input vector, returning a numerical score measuring the strength of association of the input vector to the most strongly related class. (Inherited from IMulticlassScoreClassifierBaseTInput, 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.)

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Reference

Accord.MachineLearning Namespace

IMulticlassScoreClassifierAddLanguageSpecificTextSet("LST321C0271_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TInput, TClassesAddLanguageSpecificTextSet("LST321C0271_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Interface

Type Parameters

Reference

IMulticlassScoreClassifierTInput, TClasses Interface