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Accord.NET (logo) MulticlassScoreClassifierBaseTInputScore 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: 3.4.0
Syntax
public double[] Score(
	TInput[] input,
	ref int[] decision,
	double[] result
)
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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 scores will be stored, avoiding unnecessary memory allocations.

Return Value

Type: Double

Implements

IMulticlassScoreClassifierTInput, TClassesScore(TInput, TClasses, Double)
See Also