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: 3.8.0

Syntax

Copy

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

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

Request Example View Source

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

IMultilabelScoreClassifierBaseTInput, TClassesScores(TInput, TClasses, Double)

Reference

AssociationRuleMatcherT Class

Scores Overload

Accord.MachineLearning.Rules Namespace