|
OneVsRestTModel, TInput Class |
Base class for multi-class classifiers based on the
"one-vs-rest" construction based on binary classifiers.
Inheritance HierarchySystemObject
Accord.MachineLearningTransformBaseTInput, Boolean
Accord.MachineLearningClassifierBaseTInput, Boolean
Accord.MachineLearningMultilabelClassifierBaseTInput
Accord.MachineLearningMultilabelScoreClassifierBaseTInput
Accord.MachineLearningMultilabelLikelihoodClassifierBaseTInput
Accord.MachineLearningOneVsRestTModel, TInput
Accord.MachineLearningOneVsRestTModel
Accord.MachineLearning.VectorMachinesMultilabelSupportVectorMachineTModel, TKernel, TInput
Accord.MachineLearningTransformBaseTInput, Boolean
Accord.MachineLearningClassifierBaseTInput, Boolean
Accord.MachineLearningMultilabelClassifierBaseTInput
Accord.MachineLearningMultilabelScoreClassifierBaseTInput
Accord.MachineLearningMultilabelLikelihoodClassifierBaseTInput
Accord.MachineLearningOneVsRestTModel, TInput
Accord.MachineLearningOneVsRestTModel
Accord.MachineLearning.VectorMachinesMultilabelSupportVectorMachineTModel, TKernel, TInput
Namespace: Accord.MachineLearning
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntax[SerializableAttribute] public class OneVsRest<TModel, TInput> : MultilabelLikelihoodClassifierBase<TInput>, IEnumerable where TModel : Object, IBinaryScoreClassifier<TInput>
Type Parameters
- TModel
- The type for the inner binary classifiers.
- TInput
- The input type handled by the classifiers. Default is double.
The OneVsRestTModel, TInput type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | OneVsRestTModel, TInput |
Initializes a new instance of the OneVsRestTModel, TInput class.
|
Properties| Name | Description | |
|---|---|---|
 | Count |
Gets the total number of binary models in this one-vs-rest
multi-label configuration. Should be equal to the
NumberOfOutputs (number of classes).
|
| Item |
Gets or sets the inner binary classifiers used to distinguish
between each class and all other classes.
|
| Models |
Gets or sets the binary classifiers that have been trained
to distinguish between each class and all other classes.
|
| NumberOfClasses |
Gets the number of classes expected and recognized by the classifier.
(Inherited from ClassifierBaseTInput, TClasses.) |
| NumberOfInputs |
Gets the number of inputs accepted by the model.
(Inherited from TransformBaseTInput, TOutput.) |
| NumberOfOutputs |
Gets the number of outputs generated by the model.
(Inherited from TransformBaseTInput, TOutput.) |
Methods| Name | Description | |
|---|---|---|
 | Decide(TInput) |
Computes class-label decisions for a given set of input vectors.
(Inherited from ClassifierBaseTInput, TClasses.) |
| Decide(TInput) |
Computes a class-label decision for a given input.
(Inherited from MultilabelClassifierBaseTInput.) |
| Decide(TInput, TClasses) |
Computes a class-label decision for a given input.
(Inherited from ClassifierBaseTInput, TClasses.) |
| Decide(TInput, Boolean) |
Computes class-label decisions for the given input.
(Inherited from MultilabelClassifierBaseTInput.) |
| Decide(TInput, Double) |
Computes class-label decisions for the given input.
(Inherited from MultilabelClassifierBaseTInput.) |
| Decide(TInput, Int32) |
Computes class-label decisions for the given input.
(Inherited from MultilabelClassifierBaseTInput.) |
| Decide(TInput, Double) |
Computes a class-label decision for a given input.
(Inherited from MultilabelClassifierBaseTInput.) |
| Decide(TInput, Int32) |
Computes a class-label decision for a given input.
(Inherited from MultilabelClassifierBaseTInput.) |
| Decide(TInput, Double) |
Computes a class-label decision for a given input.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Decide(TInput, Int32) |
Computes a class-label decision for a given input.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Decide(TInput, Int32) |
Computes whether a class label applies to an input vector.
(Overrides MultilabelClassifierBaseTInputDecide(TInput, Int32).) |
| 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.) |
| GetClassifierForClass |
Gets the binary classifier for particular class index.
|
| GetEnumerator |
Returns an enumerator that iterates through the collection.
|
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| LogLikelihood(TInput, Int32) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Int32) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Int32) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Int32, Double) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Int32, Double) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Int32, Boolean) |
Computes a log-likelihood measuring the association between
the given input vector and a given
classIndex.
(Overrides MultilabelLikelihoodClassifierBaseTInputLogLikelihood(TInput, Int32, Boolean).) |
| LogLikelihoods(TInput) |
Computes the log-likelihood that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput) |
Computes the log-likelihood that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput, Double) |
Predicts a class label vector for the given input vector, returning the
log-likelihoods of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput, Double) |
Computes the log-likelihood that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput, Double) |
Predicts a class label vector for each input vector, returning the
log-likelihoods of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput, Double) |
Computes the log-likelihood that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput, Boolean, Double) |
Predicts a class label vector for the given input vector, returning the
log-likelihoods of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput, Double, Double) |
Predicts a class label vector for each input vector, returning the
log-likelihoods of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| Probabilities(TInput) |
Computes the probabilities that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput) |
Computes the probabilities that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput, Double) |
Predicts a class label vector for the given input vector, returning the
probabilities of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput, Double) |
Computes the probabilities that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput, Double) |
Predicts a class label vector for each input vector, returning the
probabilities of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput, Double) |
Computes the probabilities that the given input
vector belongs to each of the possible classes.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput, Boolean, Double) |
Predicts a class label vector for the given input vector, returning the
probabilities of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput, Double, Double) |
Predicts a class label vector for each input vector, returning the
probabilities of the input vector belonging to each possible class.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32, Double) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32, Double) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Score(TInput, Int32) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Score(TInput, Int32) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Score(TInput, Int32) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Score(TInput, Int32, Double) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Score(TInput, Int32, Double) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Score(TInput, Int32, Boolean) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
(Overrides MultilabelScoreClassifierBaseTInputScore(TInput, Int32, Boolean).) |
| Scores(TInput) |
Computes a numerical score measuring the association between
the given input vector and each class.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Scores(TInput) |
Computes a numerical score measuring the association between
the given input vector and each class.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Scores(TInput, Boolean) |
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.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Scores(TInput, Double) |
Computes a numerical score measuring the association between
the given input vector and each class.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Scores(TInput, Double) |
Computes a numerical score measuring the association between
the given input vector and each class.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Scores(TInput, Int32) |
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.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Scores(TInput, Boolean, 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.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Scores(TInput, Boolean, 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.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| ToMulticlass |
Views this instance as a multi-class generative classifier.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
| Transform(TInput) |
Applies the transformation to an input, producing an associated output.
(Inherited from ClassifierBaseTInput, TClasses.) |
| Transform(TInput) |
Applies the transformation to a set of input vectors,
producing an associated set of output vectors.
(Inherited from TransformBaseTInput, TOutput.) |
| Transform(TInput, Boolean) |
Applies the transformation to an input, producing an associated output.
(Inherited from MultilabelClassifierBaseTInput.) |
| Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MultilabelClassifierBaseTInput.) |
| Transform(TInput, Boolean) |
Applies the transformation to an input, producing an associated output.
(Inherited from MultilabelClassifierBaseTInput.) |
| Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MultilabelClassifierBaseTInput.) |
| Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MultilabelLikelihoodClassifierBaseTInput.) |
| Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
| Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MultilabelScoreClassifierBaseTInput.) |
Extension Methods| Name | Description | |
|---|---|---|
 | 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.) |
| SetEqualsKeyValuePairInt32, TModel |
Compares two enumerables for set equality. Two
enumerables are set equal if they contain the
same elements, but not necessarily in the same
order.
(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.) |
See Also