BinaryScoreClassifierBaseTInputScore Method (TInput, Int32, 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.

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

Syntax

Copy

public double[] Score(
	TInput[] input,
	ref int[] decision,
	double[] result
)

Public Function Score ( 
	input As TInput(),
	ByRef decision As Integer(),
	result As Double()
) As Double()

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Parameters

input: Type: TInput
A set of input vectors.
decision: Type: SystemInt32
The class labels predicted for each input vector, as predicted by the classifier.
result: Type: SystemDouble
An array where the distances will be stored, avoiding unnecessary memory allocations.

Return Value

Type: Double
System.Double[].

Implements

IMulticlassScoreClassifierBaseTInput, TClassesScore(TInput, TClasses, Double)

Reference

BinaryScoreClassifierBaseTInput Class

Score Overload

Accord.MachineLearning Namespace