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AssociationRuleMatcherTScores Method (SortedSetT, SortedSetT, Double)

Predicts a class label vector for each 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: 3.6.0
Syntax
public double[][] Scores(
	SortedSet<T>[] input,
	ref SortedSet<T>[][] decision,
	double[][] result
)
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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.
result
Type: SystemDouble
An array where the distances will be stored, avoiding unnecessary memory allocations.

Return Value

Type: Double

Implements

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