IMulticlassOutScoreClassifierTInput, 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

Copy

public interface IMulticlassOutScoreClassifier<TInput, TClasses> : IMulticlassScoreClassifierBase<TInput, TClasses>, 
	IMultilabelOutScoreClassifier<TInput, TClasses>, IMultilabelScoreClassifierBase<TInput, TClasses>

Public Interface IMulticlassOutScoreClassifier(Of TInput, TClasses)
	Inherits IMulticlassScoreClassifierBase(Of TInput, TClasses), IMultilabelOutScoreClassifier(Of TInput, TClasses), 
	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
	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.
	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 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 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

Reference

Accord.MachineLearning Namespace

IMulticlassOutScoreClassifierAddLanguageSpecificTextSet("LSTBF037E2F_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TInput, TClassesAddLanguageSpecificTextSet("LSTBF037E2F_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Interface

Type Parameters

Reference

IMulticlassOutScoreClassifierTInput, TClasses Interface