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AssociationRuleMatcherT Class
Association ruler matcher.
Inheritance Hierarchy
SystemObject
  Accord.MachineLearning.RulesAssociationRuleMatcherT

Namespace:  Accord.MachineLearning.Rules
Assembly:  Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntax
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[SerializableAttribute]
public class AssociationRuleMatcher<T> : IMulticlassRefScoreClassifier<T[], T[][]>, 
	IMultilabelRefScoreClassifier<T[], T[][]>, IMultilabelScoreClassifierBase<T[], T[][]>, IMulticlassRefScoreClassifier<SortedSet<T>, SortedSet<T>[]>, 
	IMultilabelRefScoreClassifier<SortedSet<T>, SortedSet<T>[]>, IMultilabelScoreClassifierBase<SortedSet<T>, SortedSet<T>[]>, 
	ITransform<T[], T[][]>, ICovariantTransform<T[], T[][]>, ITransform, 
	ITransform<SortedSet<T>, SortedSet<T>[]>, ICovariantTransform<SortedSet<T>, SortedSet<T>[]>
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Type Parameters

T
The item type.

The AssociationRuleMatcherT type exposes the following members.

Constructors
  NameDescription
Public methodAssociationRuleMatcherT
Initializes a new instance of the AssociationRuleMatcherT class.
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Properties
  NameDescription
Public propertyNumberOfClasses
Gets the number of classes expected and recognized by the classifier.
Public propertyNumberOfInputs
Gets the number of items seen by the model during training.
Public propertyNumberOfOutputs
Gets the number of association rules seen by the model.
Public propertyRules
Gets or sets the association rules in this model.
Public propertyThreshold
Gets or sets the minimum confidence threshold used to determine whether a rule applies to an input or not.
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Methods
  NameDescription
Public methodDecide(SortedSetT)
Computes a class-label decision for a given input.
Public methodDecide(SortedSetT)
Computes a class-label decision for a given input.
Public methodDecide(T)
Computes a class-label decision for a given input.
Public methodDecide(T)
Computes a class-label decision for a given input.
Public methodDecide(SortedSetT, SortedSetT)
Computes a class-label decision for a given input.
Public methodDecide(T, T)
Computes a class-label decision for a given input.
Public methodEquals
Determines whether the specified object is equal to the current object.
(Inherited from Object.)
Protected methodFinalize
Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.
(Inherited from Object.)
Public methodGetHashCode
Serves as the default hash function.
(Inherited from Object.)
Public methodGetType
Gets the Type of the current instance.
(Inherited from Object.)
Protected methodMemberwiseClone
Creates a shallow copy of the current Object.
(Inherited from Object.)
Public methodScores(SortedSetT, SortedSetT)
Predicts a class label vector for the given input vector, returning a numerical score measuring the strength of association of the input vector to each of the possible classes.
Public methodScores(SortedSetT, SortedSetT)
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.
Public methodScores(T, T)
Predicts a class label vector for the given input vector, returning a numerical score measuring the strength of association of the input vector to each of the possible classes.
Public methodScores(T, T)
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.
Public methodScores(SortedSetT, SortedSetT, Double)
Predicts a class label vector for the given input vector, returning a numerical score measuring the strength of association of the input vector to each of the possible classes.
Public methodScores(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.
Public methodScores(T, T, Double)
Predicts a class label vector for the given input vector, returning a numerical score measuring the strength of association of the input vector to each of the possible classes.
Public methodScores(T, T, 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.
Public methodToString
Returns a string that represents the current object.
(Inherited from Object.)
Public methodTransform(SortedSetT)
Applies the transformation to an input, producing an associated output.
Public methodTransform(SortedSetT)
Applies the transformation to an input, producing an associated output.
Public methodTransform(T)
Applies the transformation to an input, producing an associated output.
Public methodTransform(T)
Applies the transformation to an input, producing an associated output.
Public methodTransform(SortedSetT, SortedSetT)
Applies the transformation to an input, producing an associated output.
Public methodTransform(T, T)
Applies the transformation to an input, producing an associated output.
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Extension Methods
  NameDescription
Public Extension MethodHasMethod
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.)
Public Extension MethodIsEqual
Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.
(Defined by Matrix.)
Public Extension MethodTo(Type)Overloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
Public Extension MethodToTOverloaded.
Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.
(Defined by ExtensionMethods.)
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See Also