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AssociationRuleMatcherTScores Method (SortedSetT, SortedSetT)
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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: 3.8.0
Syntax 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()()
Request Example
View SourceParameters
- 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:
DoubleImplements
IMultilabelScoreClassifierBaseTInput, TClassesScores(TInput, TClasses)See Also