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AssociationRuleMatcherTScores Method (SortedSetT, SortedSetT)

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: 3.7.0
Syntax
public double[] Scores(
	SortedSet<T> input,
	ref SortedSet<T>[] decision
)
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Parameters

input
Type: System.Collections.GenericSortedSetT
A set of input vectors.
decision
Type: System.Collections.GenericSortedSetT
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

IMultilabelRefScoreClassifierTInput, TClassesScores(TInput, TClasses)
See Also