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AprioriTLearn Method (SortedSetT, Double)
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Learns a model that can map the given inputs to the desired outputs.
Namespace:
Accord.MachineLearning.Rules
Assembly:
Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntax public AssociationRuleMatcher<T> Learn(
SortedSet<T>[] x,
double[] weights = null
)
Public Function Learn (
x As SortedSet(Of T)(),
Optional weights As Double() = Nothing
) As AssociationRuleMatcher(Of T)
Request Example
View SourceParameters
- x
- Type: System.Collections.GenericSortedSetT
The model inputs. - weights (Optional)
- Type: SystemDouble
The weight of importance for each input sample.
Return Value
Type:
AssociationRuleMatcherTA model that has learned how to produce suitable outputs
given the input data
x.
Implements
IUnsupervisedLearningTModel, TInput, TOutputLearn(TInput, Double)See Also