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MultilabelScoreClassifierBaseTInputScores Method (TInput, Int32, Double)
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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 public double[] Scores(
TInput input,
out int decision,
double[] result
)
Public Function Scores (
input As TInput,
<OutAttribute> ByRef decision As Integer,
result As Double()
) As Double()
Request Example
View SourceParameters
- 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:
DoubleImplements
IMultilabelOutScoreClassifierTInput, TClassesScores(TInput, TClasses, Double)See Also