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Showing content from http://accord-framework.net/docs/html/T_Accord_MachineLearning_IMulticlassScoreClassifierBase_2.htm below:

IMulticlassScoreClassifierBaseTInput, 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 
public interface IMulticlassScoreClassifierBase<in TInput, TClasses>

Public Interface IMulticlassScoreClassifierBase(Of In 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 each input vector, returning a numerical score measuring the strength of association of the input vector to the most strongly related class.

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.

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