|
OneVsOneTBinary Class |
One-Vs-One construction for solving multi-class
classification using a set of binary classifiers.
Inheritance HierarchySystemObject
Accord.MachineLearningTransformBaseDouble, Int32
Accord.MachineLearningClassifierBaseDouble, Int32
Accord.MachineLearningMulticlassClassifierBaseDouble
Accord.MachineLearningMulticlassScoreClassifierBaseDouble
Accord.MachineLearningMulticlassLikelihoodClassifierBaseDouble
Accord.MachineLearningOneVsOneTBinary, Double
Accord.MachineLearningOneVsOneTBinary
Accord.MachineLearningTransformBaseDouble, Int32
Accord.MachineLearningClassifierBaseDouble, Int32
Accord.MachineLearningMulticlassClassifierBaseDouble
Accord.MachineLearningMulticlassScoreClassifierBaseDouble
Accord.MachineLearningMulticlassLikelihoodClassifierBaseDouble
Accord.MachineLearningOneVsOneTBinary, Double
Accord.MachineLearningOneVsOneTBinary
Namespace: Accord.MachineLearning
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0
Syntax[SerializableAttribute] public class OneVsOne<TBinary> : OneVsOne<TBinary, double[]> where TBinary : class, Object, IClassifier<double[], bool>, ICloneable
Type Parameters
- TBinary
- The type for the binary classifier to be used.
The OneVsOneTBinary type exposes the following members.
Constructors| Name | Description | |
|---|---|---|
 | OneVsOneTBinary |
Initializes a new instance of the OneVsOneTBinary class.
|
Properties| Name | Description | |
|---|---|---|
 | Count |
Gets the number of inner binary classification models used by
this instance. It should correspond to (c * (c - 1)) / 2
where c is the number of classes.
(Inherited from OneVsOneTBinary, TInput.) |
 | Indices |
Gets the pair of class indices handled by each inner binary classification model.
(Inherited from OneVsOneTBinary, TInput.) |
| ItemInt32 |
Gets a inner binary classification model inside this OneVsOneTBinary
classifier, together with the pair of classes that it has been designed to
distinguish.
(Inherited from OneVsOneTBinary, TInput.) |
| ItemInt32, Int32 |
Gets or sets the inner binary classification model used
to distinguish between the given pair of classes.
(Inherited from OneVsOneTBinary, TInput.) |
| LastDecisionPath |
Gets the last decision path without cloning.
(Inherited from OneVsOneTBinary, TInput.) |
| Method |
Gets or sets the multi-class classification method to be
used when deciding for the class of a given input vector.
Default is Elimination.
(Inherited from OneVsOneTBinary, TInput.) |
| Models |
Gets the inner binary classification models.
(Inherited from OneVsOneTBinary, TInput.) |
| 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.) |
| ParallelOptions |
Gets or sets the parallelization options for this algorithm.
(Inherited from OneVsOneTBinary, TInput.) |
| Token |
Gets or sets a cancellation token that can be used
to cancel the algorithm while it is running.
(Inherited from OneVsOneTBinary, TInput.) |
| Track |
Gets or sets whether to track the decision path associated
with each decision. The track will be available through the
GetLastDecisionPath method. Default is true.
(Inherited from OneVsOneTBinary, TInput.) |
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 OneVsOneTBinary, TInput.) |
| Decide(TInput, Boolean) |
Computes class-label decisions for the given input.
(Inherited from MulticlassClassifierBaseTInput.) |
| Decide(TInput, Double) |
Computes class-label decisions for the given input.
(Inherited from MulticlassClassifierBaseTInput.) |
| Decide(TInput, Int32) |
Computes class-label decisions for the given input.
(Inherited from MulticlassClassifierBaseTInput.) |
| Decide(TInput, Double) |
Computes a class-label decision for a given input.
(Inherited from MulticlassClassifierBaseTInput.) |
| Decide(TInput, Int32) |
Computes a class-label decision for a given input.
(Inherited from OneVsOneTBinary, TInput.) |
| 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.) |
| GetClassifierForClassPair |
Gets the inner binary classification model used to distinguish between
the given pair of classes.
(Inherited from OneVsOneTBinary, TInput.) |
| GetEnumerator |
Returns an enumerator that iterates through all machines
contained inside this multi-class support vector machine.
(Inherited from OneVsOneTBinary, TInput.) |
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetLastDecisionPath |
Gets the last decision path used during the last call to any of the
model evaluation (Decide, Distance, LogLikelihood, Probability) methods
in the current thread. This method is thread-safe and returns the value
obtained in the last call on the current thread.
(Inherited from OneVsOneTBinary, TInput.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| LogLikelihood(TInput) |
Computes the log-likelihood that the given input
vector belongs to its most plausible class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput) |
Computes the log-likelihood that the given input
vectors belongs to each of the possible classes.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Int32) |
Predicts a class label vector for the given input vector, returning the
log-likelihood that the input vector belongs to its predicted class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Double) |
Computes the log-likelihood that the given input
vectors belongs to each of the possible classes.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Int32) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Int32) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Int32) |
Predicts a class label for each input vector, returning the
log-likelihood that each vector belongs to its predicted class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Int32) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from OneVsOneTBinary, TInput.) |
| LogLikelihood(TInput, Int32, Double) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Int32, Double) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihood(TInput, Int32, Double) |
Predicts a class label for each input vector, returning the
log-likelihood that each vector belongs to its predicted class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput) |
Computes the log-likelihood that the given input
vector belongs to each of the possible classes.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput) |
Computes the log-likelihood that the given input
vectors belongs to each of the possible classes.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput, Int32) |
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 MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput, Double) |
Computes the log-likelihood that the given input
vector belongs to each of the possible classes.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput, Int32) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput, Int32) |
Predicts a class label vector for each input vector, returning the
log-likelihoods of the input vector belonging to each possible class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| 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 OneVsOneTBinary, TInput.) |
| LogLikelihoods(TInput, Int32, 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 MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput, Int32, Double) |
Computes the log-likelihood that the given input vector
belongs to the specified classIndex.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| LogLikelihoods(TInput, Int32, 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 MulticlassLikelihoodClassifierBaseTInput.) |
| 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 MulticlassLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput) |
Computes the probabilities that the given input
vector belongs to each of the possible classes.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput, Double) |
Computes the probabilities that the given input
vector belongs to each of the possible classes.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput, Int32) |
Predicts a class label vector for the given input vector, returning the
probabilities of the input vector belonging to each possible class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput, Double) |
Computes the probabilities that the given input
vector belongs to each of the possible classes.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput, Int32) |
Predicts a class label vector for each input vector, returning the
probabilities of the input vector belonging to each possible class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput, Int32, 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 MulticlassLikelihoodClassifierBaseTInput.) |
| Probabilities(TInput, Int32, Double) |
Predicts a class label vector for each input vector, returning the
probabilities of the input vector belonging to each possible class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probability(TInput) |
Predicts a class label for the given input vector, returning the
probability that the input vector belongs to its predicted class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probability(TInput) |
Predicts a class label for the given input vector, returning the
probability that the input vector belongs to its predicted class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32) |
Predicts a class label for the given input vector, returning the
probability that the input vector belongs to its predicted class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Double) |
Predicts a class label for the given input vector, returning the
probability that the input vector belongs to its predicted class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32) |
Predicts a class label for each input vector, returning the
probability that each vector belongs to its predicted class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32, Double) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32, Double) |
Computes the probability that the given input vector
belongs to the specified classIndex.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Probability(TInput, Int32, Double) |
Predicts a class label for each input vector, returning the
probability that each vector belongs to its predicted class.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Score(TInput) |
Computes a numerical score measuring the association between
the given input vector and its most strongly
associated class (as predicted by the classifier).
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Score(TInput) |
Computes a numerical score measuring the association between
the given input vector and its most strongly
associated class (as predicted by the classifier).
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Score(TInput, Int32) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Score(TInput, Int32) |
Predicts a class label for the input vector, returning a
numerical score measuring the strength of association of the
input vector to its most strongly related class.
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Score(TInput, Double) |
Computes a numerical score measuring the association between
the given input vector and its most strongly
associated class (as predicted by the classifier).
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Score(TInput, Int32) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Score(TInput, Int32) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Score(TInput, Int32) |
Predicts a class label for each input vector, returning a
numerical score measuring the strength of association of the
input vector to the most strongly related class.
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Score(TInput, Int32, Double) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Score(TInput, Int32, Double) |
Computes a numerical score measuring the association between
the given input vector and a given
classIndex.
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Score(TInput, Int32, Double) |
Predicts a class label for each input vector, returning a
numerical score measuring the strength of association of the
input vector to the most strongly related class.
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Scores(TInput) |
Computes a numerical score measuring the association between
the given input vector and each class.
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Scores(TInput) |
Computes a numerical score measuring the association between
the given input vector and each class.
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| Scores(TInput, Int32) |
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 MulticlassScoreClassifierBaseTInput.) |
| Scores(TInput, Double) |
Computes a numerical score measuring the association between
the given input vector and each class.
(Inherited from MulticlassScoreClassifierBaseTInput.) |
| 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 MulticlassScoreClassifierBaseTInput.) |
| Scores(TInput, Double) |
Computes a numerical score measuring the association between
the given input vector and each class.
(Inherited from OneVsOneTBinary, TInput.) |
| Scores(TInput, Int32, 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 MulticlassScoreClassifierBaseTInput.) |
| Scores(TInput, Int32, 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 MulticlassScoreClassifierBaseTInput.) |
| ToMulticlass |
Views this instance as a multi-class generative classifier.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| ToMultilabel |
Views this instance as a multi-label generative classifier,
giving access to more advanced methods, such as the prediction
of one-hot vectors.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| 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, TClasses) |
Applies the transformation to an input, producing an associated output.
(Inherited from ClassifierBaseTInput, TClasses.) |
| Transform(TInput, Boolean) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) |
| Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) |
| Transform(TInput, Boolean) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) |
| Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) |
| Transform(TInput, Int32) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassClassifierBaseTInput.) |
| Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
| Transform(TInput, Double) |
Applies the transformation to an input, producing an associated output.
(Inherited from MulticlassLikelihoodClassifierBaseTInput.) |
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.) |
| 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