AssociationRuleMatcherT Methods |
The AssociationRuleMatcherT generic type exposes the following members.
Name | Description | |
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Decide(SortedSetT) |
Computes a class-label decision for a given input.
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Decide(SortedSetT) |
Computes a class-label decision for a given input.
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Decide(T) |
Computes a class-label decision for a given input.
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Decide(T) |
Computes a class-label decision for a given input.
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Decide(SortedSetT, SortedSetT) |
Computes a class-label decision for a given input.
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Decide(T, T) |
Computes a class-label decision for a given input.
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Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) | |
Finalize | Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.) | |
GetHashCode | Serves as the default hash function. (Inherited from Object.) | |
GetType | Gets the Type of the current instance. (Inherited from Object.) | |
MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |
Scores(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.
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Scores(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.
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Scores(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.
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Scores(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.
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Scores(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.
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Scores(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.
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Scores(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.
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Scores(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.
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ToString | Returns a string that represents the current object. (Inherited from Object.) | |
Transform(SortedSetT) |
Applies the transformation to an input, producing an associated output.
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Transform(SortedSetT) |
Applies the transformation to an input, producing an associated output.
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Transform(T) |
Applies the transformation to an input, producing an associated output.
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Transform(T) |
Applies the transformation to an input, producing an associated output.
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Transform(SortedSetT, SortedSetT) |
Applies the transformation to an input, producing an associated output.
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Transform(T, T) |
Applies the transformation to an input, producing an associated output.
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Name | Description | |
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HasMethod |
Checks whether an object implements a method with the given name.
(Defined by ExtensionMethods.) | |
IsEqual |
Compares two objects for equality, performing an elementwise
comparison if the elements are vectors or matrices.
(Defined by Matrix.) | |
To(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.) | |
ToT | 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.) |