AssociationRuleMatcher< T> . Scores Method (SortedSet< T> ,SortedSet< T> [] )

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.Rules
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

Syntax

Copy

public double[] Scores(
	SortedSet<T> input,
	ref SortedSet<T>[] decision
)

Public Function Scores ( 
	input As SortedSet(Of T),
	ByRef decision As SortedSet(Of T)()
) As Double()

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Parameters

input: Type: System.Collections.Generic.SortedSet<T>
A set of input vectors.
decision: Type:System.Collections.Generic.SortedSet<T>[]
The class labels associated with each input vector, as predicted by the classifier. If passed as null, the classifier will create a new array.

Return Value

Type:Double[]

Implements

IMultilabelRefScoreClassifier<TInput, TClasses>.Scores(TInput, TClasses)

Reference

AssociationRuleMatcher<T> Class

Scores Overload

Accord.MachineLearning.Rules Namespace