MulticlassScoreClassifierBaseTInputScores Method (TInput, Int32, 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 virtual double[] Scores(
	TInput input,
	out int decision,
	double[] result
)

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

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Parameters

input: Type: TInput
The input vector.
decision: Type: SystemInt32
The class label predicted by the classifier.
result: Type: SystemDouble
An array where the scores will be stored, avoiding unnecessary memory allocations.

Return Value

Type: Double

Implements

IMultilabelOutScoreClassifierTInput, TClassesScores(TInput, TClasses, Double)

Reference

MulticlassScoreClassifierBaseTInput Class

Scores Overload

Accord.MachineLearning Namespace