OneVsOneTBinary, TInput Class

One-Vs-One construction for solving multi-class classification using a set of binary classifiers.

Inheritance Hierarchy

SystemObject
  Accord.MachineLearningTransformBaseTInput, Int32
    Accord.MachineLearningClassifierBaseTInput, Int32
      Accord.MachineLearningMulticlassClassifierBaseTInput
        Accord.MachineLearningMulticlassScoreClassifierBaseTInput
          Accord.MachineLearningMulticlassLikelihoodClassifierBaseTInput
            Accord.MachineLearningOneVsOneTBinary, TInput
              Accord.MachineLearningOneVsOneTBinary
              Accord.MachineLearning.VectorMachinesMulticlassSupportVectorMachineTModel, TKernel, TInput

Namespace: Accord.MachineLearning
Assembly: Accord.MachineLearning (in Accord.MachineLearning.dll) Version: 3.8.0

Syntax

Copy

[SerializableAttribute]
public class OneVsOne<TBinary, TInput> : MulticlassLikelihoodClassifierBase<TInput>, 
	IEnumerable, IParallel, ISupportsCancellation
where TBinary : class, Object, IClassifier<TInput, bool>, ICloneable

<SerializableAttribute>
Public Class OneVsOne(Of TBinary As {Class, Object, IClassifier(Of TInput, Boolean), ICloneable}, TInput)
	Inherits MulticlassLikelihoodClassifierBase(Of TInput)
	Implements IEnumerable, IParallel, ISupportsCancellation

Request Example View Source

Type Parameters

TBinary: The type for the binary classifier to be used.
TInput: The type for the classifier inputs. Default is double[].

The OneVsOneTBinary, TInput type exposes the following members.

Constructors

	Name	Description
	OneVsOneTBinary, TInput	Initializes a new instance of the OneVsOneTBinary, TInput class.

Top

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.
	Indices	Gets the pair of class indices handled by each inner binary classification model.
	ItemInt32	Gets a inner binary classification model inside this OneVsOneTBinary classifier, together with the pair of classes that it has been designed to distinguish.
	ItemInt32, Int32	Gets or sets the inner binary classification model used to distinguish between the given pair of classes.
	LastDecisionPath	Gets the last decision path without cloning.
	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.
	Models	Gets the inner binary classification models.
	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.
	Token	Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.
	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.

Top

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. (Overrides MulticlassScoreClassifierBaseTInputDecide(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. (Overrides ClassifierBaseTInput, TClassesDecide(TInput, TClasses).)
	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.
	GetEnumerator	Returns an enumerator that iterates through all machines contained inside this multi-class support vector machine.
	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.
	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. (Overrides MulticlassLikelihoodClassifierBaseTInputLogLikelihood(TInput, Int32).)
	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. (Overrides MulticlassLikelihoodClassifierBaseTInputLogLikelihoods(TInput, Double).)
	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. (Overrides MulticlassScoreClassifierBaseTInputScores(TInput, Double).)
	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.)

Top

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.)
	SetEqualsKeyValuePairClassPair, TBinary	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.)

Top

Reference

Accord.MachineLearning Namespace

Accord.MachineLearning.VectorMachinesMulticlassSupportVectorMachineTKernel

OneVsOneAddLanguageSpecificTextSet("LSTA0448573_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TBinary, TInputAddLanguageSpecificTextSet("LSTA0448573_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Class

Type Parameters

Reference

OneVsOneTBinary, TInput Class