BinaryScoreClassifierBaseTInputScores Method (TInput, Boolean, 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.

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

Syntax

Copy

public double[] Scores(
	TInput input,
	out bool decision,
	double[] result
)

Public Function Scores ( 
	input As TInput,
	<OutAttribute> ByRef decision As Boolean,
	result As Double()
) As Double()

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Parameters

input: Type: TInput
The input vector.
decision: Type: SystemBoolean
The class label predicted by the classifier.
result: Type: SystemDouble
An array where the result will be stored, avoiding unnecessary memory allocations.

Return Value

Type: Double

Implements

IMultilabelOutScoreClassifierTInput, TClassesScores(TInput, TClasses, Double)

Reference

BinaryScoreClassifierBaseTInput Class

Scores Overload

Accord.MachineLearning Namespace