MulticlassScoreClassifierBase< TInput> . Score Method (TInput[] ,Double[] )

Computes a numerical score measuring the association between the given input vector and its most strongly associated class (as predicted by the classifier).

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

Syntax

Copy

public double[] Score(
	TInput[] input,
	double[] result
)

Public Function Score ( 
	input As TInput(),
	result As Double()
) As Double()

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Parameters

input: Type:TInput[]
The input vector.
result: Type:System.Double[]
An array where the scores will be stored, avoiding unnecessary memory allocations.

Return Value

Type:Double[]

Implements

IMulticlassScoreClassifier<TInput>.Score(TInput[],Double[])

Reference

MulticlassScoreClassifierBase<TInput> Class

Score Overload

Accord.MachineLearning Namespace