BinaryScoreClassifierBaseTInputScores Method (TInput, Int32, 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.

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

Syntax

Copy

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

Public Function Scores ( 
	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 associated with each input vector, as predicted by the classifier. If passed as null, the classifier will create a new array.
result: Type: SystemDouble
An array where the distances will be stored, avoiding unnecessary memory allocations.

Return Value

Type: Double
System.Double[][].

Implements

IMultilabelScoreClassifierBaseTInput, TClassesScores(TInput, TClasses, Double)

Reference

BinaryScoreClassifierBaseTInput Class

Scores Overload

Accord.MachineLearning Namespace