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AprioriTLearn Method (SortedSetT, Double)

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
public AssociationRuleMatcher<T> Learn(
	SortedSet<T>[] x,
	double[] weights = null
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Type: System.Collections.GenericSortedSetT
The model inputs.
weights (Optional)
Type: SystemDouble
The weight of importance for each input sample.

Return Value

Type: AssociationRuleMatcherT
A model that has learned how to produce suitable outputs given the input data x.


IUnsupervisedLearningTModel, TInput, TOutputLearn(TInput, Double)
See Also