Click or drag to resize
Accord.NET (logo) MultilabelScoreClassifierBaseTInputScores 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: 3.4.0
Syntax
public virtual double[] Scores(
	TInput input,
	ref bool[] decision,
	double[] result
)
Request Example View Source

Parameters

input
Type: TInput
A set of input vectors.
decision
Type: SystemBoolean
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 scores will be stored, avoiding unnecessary memory allocations.

Return Value

Type: Double

Implements

IMultilabelRefScoreClassifierTInput, TClassesScores(TInput, TClasses, Double)
See Also