IMultilabelRefScoreClassifierTInput, TClassesScores Method (TInput, TClasses, 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 (in Accord.dll) Version: 3.8.0

Syntax

Copy

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

Function Scores ( 
	input As TInput,
	ByRef decision As TClasses,
	result As Double()
) As Double()

Parameters

input: Type: TInput
A set of input vectors.
decision: Type: TClasses
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

Reference

IMultilabelRefScoreClassifierTInput, TClasses Interface

Scores Overload

Accord.MachineLearning Namespace