ISupportVectorMachineTInput Interface

Common interface for binary support vector machines.

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

Syntax

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public interface ISupportVectorMachine<TInput> : IBinaryLikelihoodClassifier<TInput>, 
	IBinaryScoreClassifier<TInput>, IBinaryClassifier<TInput>, IMulticlassClassifier<TInput>, 
	IMultilabelClassifier<TInput>, IMultilabelClassifier<TInput, int[]>, IClassifier<TInput, int[]>, 
	IClassifier, ITransform<TInput, int[]>, ICovariantTransform<TInput, int[]>, 
	ITransform, IMultilabelClassifier<TInput, bool[]>, IClassifier<TInput, bool[]>, 
	ITransform<TInput, bool[]>, ICovariantTransform<TInput, bool[]>, 
	IMultilabelClassifier<TInput, double[]>, IClassifier<TInput, double[]>, 
	ITransform<TInput, double[]>, ICovariantTransform<TInput, double[]>, 
	IMulticlassClassifier<TInput, int>, IClassifier<TInput, int>, ITransform<TInput, int>, 
	ICovariantTransform<TInput, int>, IMulticlassClassifier<TInput, double>, 
	IClassifier<TInput, double>, ITransform<TInput, double>, 
	ICovariantTransform<TInput, double>, IClassifier<TInput, bool>, 
	ITransform<TInput, bool>, ICovariantTransform<TInput, bool>, 
	IMulticlassOutScoreClassifier<TInput, bool>, IMulticlassScoreClassifierBase<TInput, bool>, 
	IMultilabelOutScoreClassifier<TInput, bool>, IMultilabelScoreClassifierBase<TInput, bool>, 
	IMulticlassScoreClassifier<TInput>, IMulticlassScoreClassifier<TInput, int>, IMulticlassOutScoreClassifier<TInput, int>, 
	IMulticlassScoreClassifierBase<TInput, int>, IMultilabelOutScoreClassifier<TInput, int>, IMultilabelScoreClassifierBase<TInput, int>, 
	IMulticlassRefScoreClassifier<TInput, int[]>, IMultilabelRefScoreClassifier<TInput, int[]>, 
	IMultilabelScoreClassifierBase<TInput, int[]>, IMulticlassScoreClassifier<TInput, double>, 
	IMulticlassOutScoreClassifier<TInput, double>, IMulticlassScoreClassifierBase<TInput, double>, 
	IMultilabelOutScoreClassifier<TInput, double>, IMultilabelScoreClassifierBase<TInput, double>, 
	IMulticlassRefScoreClassifier<TInput, double[]>, IMultilabelRefScoreClassifier<TInput, double[]>, 
	IMultilabelScoreClassifierBase<TInput, double[]>, IMulticlassRefScoreClassifier<TInput, bool[]>, 
	IMultilabelRefScoreClassifier<TInput, bool[]>, IMultilabelScoreClassifierBase<TInput, bool[]>, 
	IMultilabelScoreClassifier<TInput>, IMultilabelScoreClassifier<TInput, int>, IMultilabelScoreClassifier<TInput, double>, 
	IMulticlassOutLikelihoodClassifier<TInput, bool>, IMultilabelOutLikelihoodClassifier<TInput, bool>, 
	IMultilabelLikelihoodClassifierBase<TInput, bool>, IMulticlassLikelihoodClassifierBase<TInput, bool>, 
	IMulticlassLikelihoodClassifier<TInput>, IMulticlassLikelihoodClassifier<TInput, int>, IMulticlassOutLikelihoodClassifier<TInput, int>, 
	IMultilabelOutLikelihoodClassifier<TInput, int>, IMultilabelLikelihoodClassifierBase<TInput, int>, IMulticlassLikelihoodClassifierBase<TInput, int>, 
	IMulticlassRefLikelihoodClassifier<TInput, int[]>, IMultilabelRefLikelihoodClassifier<TInput, int[]>, 
	IMultilabelLikelihoodClassifierBase<TInput, int[]>, IMulticlassLikelihoodClassifier<TInput, double>, 
	IMulticlassOutLikelihoodClassifier<TInput, double>, IMultilabelOutLikelihoodClassifier<TInput, double>, 
	IMultilabelLikelihoodClassifierBase<TInput, double>, IMulticlassLikelihoodClassifierBase<TInput, double>, 
	IMulticlassRefLikelihoodClassifier<TInput, double[]>, IMultilabelRefLikelihoodClassifier<TInput, double[]>, 
	IMultilabelLikelihoodClassifierBase<TInput, double[]>, IMulticlassRefLikelihoodClassifier<TInput, bool[]>, 
	IMultilabelRefLikelihoodClassifier<TInput, bool[]>, IMultilabelLikelihoodClassifierBase<TInput, bool[]>, 
	IMultilabelLikelihoodClassifier<TInput>, IMultilabelLikelihoodClassifier<TInput, int>, IMultilabelLikelihoodClassifier<TInput, double>

Public Interface ISupportVectorMachine(Of TInput)
	Inherits IBinaryLikelihoodClassifier(Of TInput), IBinaryScoreClassifier(Of TInput), 
	IBinaryClassifier(Of TInput), IMulticlassClassifier(Of TInput), IMultilabelClassifier(Of TInput), 
	IMultilabelClassifier(Of TInput, Integer()), IClassifier(Of TInput, Integer()), 
	IClassifier, ITransform(Of TInput, Integer()), ICovariantTransform(Of TInput, Integer()), 
	ITransform, IMultilabelClassifier(Of TInput, Boolean()), IClassifier(Of TInput, Boolean()), 
	ITransform(Of TInput, Boolean()), ICovariantTransform(Of TInput, Boolean()), 
	IMultilabelClassifier(Of TInput, Double()), IClassifier(Of TInput, Double()), 
	ITransform(Of TInput, Double()), ICovariantTransform(Of TInput, Double()), 
	IMulticlassClassifier(Of TInput, Integer), IClassifier(Of TInput, Integer), 
	ITransform(Of TInput, Integer), ICovariantTransform(Of TInput, Integer), 
	IMulticlassClassifier(Of TInput, Double), IClassifier(Of TInput, Double), 
	ITransform(Of TInput, Double), ICovariantTransform(Of TInput, Double), 
	IClassifier(Of TInput, Boolean), ITransform(Of TInput, Boolean), 
	ICovariantTransform(Of TInput, Boolean), IMulticlassOutScoreClassifier(Of TInput, Boolean), 
	IMulticlassScoreClassifierBase(Of TInput, Boolean), IMultilabelOutScoreClassifier(Of TInput, Boolean), 
	IMultilabelScoreClassifierBase(Of TInput, Boolean), IMulticlassScoreClassifier(Of TInput), 
	IMulticlassScoreClassifier(Of TInput, Integer), IMulticlassOutScoreClassifier(Of TInput, Integer), 
	IMulticlassScoreClassifierBase(Of TInput, Integer), IMultilabelOutScoreClassifier(Of TInput, Integer), 
	IMultilabelScoreClassifierBase(Of TInput, Integer), IMulticlassRefScoreClassifier(Of TInput, Integer()), 
	IMultilabelRefScoreClassifier(Of TInput, Integer()), IMultilabelScoreClassifierBase(Of TInput, Integer()), 
	IMulticlassScoreClassifier(Of TInput, Double), IMulticlassOutScoreClassifier(Of TInput, Double), 
	IMulticlassScoreClassifierBase(Of TInput, Double), IMultilabelOutScoreClassifier(Of TInput, Double), 
	IMultilabelScoreClassifierBase(Of TInput, Double), IMulticlassRefScoreClassifier(Of TInput, Double()), 
	IMultilabelRefScoreClassifier(Of TInput, Double()), IMultilabelScoreClassifierBase(Of TInput, Double()), 
	IMulticlassRefScoreClassifier(Of TInput, Boolean()), IMultilabelRefScoreClassifier(Of TInput, Boolean()), 
	IMultilabelScoreClassifierBase(Of TInput, Boolean()), IMultilabelScoreClassifier(Of TInput), 
	IMultilabelScoreClassifier(Of TInput, Integer), IMultilabelScoreClassifier(Of TInput, Double), 
	IMulticlassOutLikelihoodClassifier(Of TInput, Boolean), IMultilabelOutLikelihoodClassifier(Of TInput, Boolean), 
	IMultilabelLikelihoodClassifierBase(Of TInput, Boolean), IMulticlassLikelihoodClassifierBase(Of TInput, Boolean), 
	IMulticlassLikelihoodClassifier(Of TInput), IMulticlassLikelihoodClassifier(Of TInput, Integer), 
	IMulticlassOutLikelihoodClassifier(Of TInput, Integer), IMultilabelOutLikelihoodClassifier(Of TInput, Integer), 
	IMultilabelLikelihoodClassifierBase(Of TInput, Integer), IMulticlassLikelihoodClassifierBase(Of TInput, Integer), 
	IMulticlassRefLikelihoodClassifier(Of TInput, Integer()), IMultilabelRefLikelihoodClassifier(Of TInput, Integer()), 
	IMultilabelLikelihoodClassifierBase(Of TInput, Integer()), IMulticlassLikelihoodClassifier(Of TInput, Double), 
	IMulticlassOutLikelihoodClassifier(Of TInput, Double), IMultilabelOutLikelihoodClassifier(Of TInput, Double), 
	IMultilabelLikelihoodClassifierBase(Of TInput, Double), IMulticlassLikelihoodClassifierBase(Of TInput, Double), 
	IMulticlassRefLikelihoodClassifier(Of TInput, Double()), IMultilabelRefLikelihoodClassifier(Of TInput, Double()), 
	IMultilabelLikelihoodClassifierBase(Of TInput, Double()), IMulticlassRefLikelihoodClassifier(Of TInput, Boolean()), 
	IMultilabelRefLikelihoodClassifier(Of TInput, Boolean()), IMultilabelLikelihoodClassifierBase(Of TInput, Boolean()), 
	IMultilabelLikelihoodClassifier(Of TInput), IMultilabelLikelihoodClassifier(Of TInput, Integer), 
	IMultilabelLikelihoodClassifier(Of TInput, Double)

Type Parameters

TInput: The type of the input data handled by the machine.

The ISupportVectorMachineTInput type exposes the following members.

Properties

	Name	Description
	IsProbabilistic	Gets whether this machine has been calibrated to produce probabilistic outputs (through the Probability method).
	Kernel	Gets or sets the kernel used by this machine.
	NumberOfClasses	Gets or sets the number of classes expected and recognized by the classifier. (Inherited from IClassifier.)
	NumberOfInputs	Gets or sets the number of inputs accepted by the model. (Inherited from ITransform.)
	NumberOfOutputs	Gets or sets the number of outputs generated by the model. (Inherited from ITransform.)
	SupportVectors	Gets or sets the collection of support vectors used by this machine.
	Threshold	Gets or sets the threshold (bias) term for this machine.
	Weights	Gets or sets the collection of weights used by this machine.

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Methods

	Name	Description
	Compress	If this machine has a linear kernel, compresses all support vectors into a single parameter vector.
	Decide(TInput)	Computes a class-label decision for a given input. (Inherited from IMulticlassClassifierTInput.)
	Decide(TInput)	Computes class-label decisions for each vector in the given input. (Inherited from IMulticlassClassifierTInput.)
	Decide(TInput, TClasses)	Computes class-label decisions for each vector in the given input. (Inherited from IClassifierTInput, TClasses.)
	Decide(TInput, TClasses)	Computes class-label decisions for the given input. (Inherited from IMultilabelClassifierTInput, TClasses.)
	LogLikelihood(TInput)	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 IMulticlassLikelihoodClassifierTInput.)
	LogLikelihood(TInput)	Predicts a class label vector for the given input vectors, returning the log-likelihood that the input vector belongs to its predicted class. (Inherited from IMulticlassLikelihoodClassifierTInput.)
	LogLikelihood(TInput, Double)	Predicts a class label vector for the given input vectors, returning the log-likelihood that the input vector belongs to its predicted class. (Inherited from IMulticlassLikelihoodClassifierTInput.)
	LogLikelihood(TInput, TClasses)	Predicts a class label for each input vector, returning the log-likelihood that each vector belongs to its predicted class. (Inherited from IMulticlassLikelihoodClassifierBaseTInput, TClasses.)
	LogLikelihood(TInput, TClasses)	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 IMulticlassOutLikelihoodClassifierTInput, TClasses.)
	LogLikelihood(TInput, Int32)	Computes the log-likelihood that the given input vector belongs to the specified classIndex. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	LogLikelihood(TInput, Int32)	Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	LogLikelihood(TInput, Int32)	Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	LogLikelihood(TInput, TClasses, Double)	Predicts a class label for each input vector, returning the log-likelihood that each vector belongs to its predicted class. (Inherited from IMulticlassLikelihoodClassifierBaseTInput, TClasses.)
	LogLikelihood(TInput, Int32, Double)	Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	LogLikelihood(TInput, Int32, Double)	Computes the log-likelihood that the given input vectors belongs to each class specified in classIndex. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	LogLikelihoods(TInput)	Computes the log-likelihood that the given input vector belongs to each of the possible classes. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	LogLikelihoods(TInput)	Computes the log-likelihoods that the given input vectors belongs to each of the possible classes. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	LogLikelihoods(TInput, Double)	Computes the log-likelihood that the given input vector belongs to each of the possible classes. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	LogLikelihoods(TInput, Double)	Computes the log-likelihoods that the given input vectors belongs to each of the possible classes. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	LogLikelihoods(TInput, TClasses)	Predicts a class label vector for each input vector, returning the log-likelihoods of the input vector belonging to each possible class. (Inherited from IMultilabelLikelihoodClassifierBaseTInput, TClasses.)
	LogLikelihoods(TInput, TClasses)	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 IMultilabelOutLikelihoodClassifierTInput, TClasses.)
	LogLikelihoods(TInput, TClasses, 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 IMultilabelLikelihoodClassifierBaseTInput, TClasses.)
	LogLikelihoods(TInput, TClasses, 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 IMultilabelOutLikelihoodClassifierTInput, TClasses.)
	Probabilities(TInput)	Computes the probabilities that the given input vector belongs to each of the possible classes. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	Probabilities(TInput)	Computes the probabilities that the given input vectors belongs to each of the possible classes. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	Probabilities(TInput, Double)	Computes the probabilities that the given input vector belongs to each of the possible classes. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	Probabilities(TInput, Double)	Computes the probabilities that the given input vectors belongs to each of the possible classes. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	Probabilities(TInput, TClasses)	Predicts a class label vector for each input vector, returning the probabilities of the input vector belonging to each possible class. (Inherited from IMultilabelLikelihoodClassifierBaseTInput, TClasses.)
	Probabilities(TInput, TClasses)	Predicts a class label vector for the given input vector, returning the probabilities of the input vector belonging to each possible class. (Inherited from IMultilabelOutLikelihoodClassifierTInput, TClasses.)
	Probabilities(TInput, TClasses, Double)	Predicts a class label vector for each input vector, returning the probabilities of the input vector belonging to each possible class. (Inherited from IMultilabelLikelihoodClassifierBaseTInput, TClasses.)
	Probabilities(TInput, TClasses, 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 IMultilabelOutLikelihoodClassifierTInput, TClasses.)
	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 IMulticlassLikelihoodClassifierTInput.)
	Probability(TInput)	Predicts a class label for the given input vectors, returning the probability that the input vector belongs to its predicted class. (Inherited from IMulticlassLikelihoodClassifierTInput.)
	Probability(TInput, Double)	Predicts a class label for the given input vectors, returning the probability that the input vector belongs to its predicted class. (Inherited from IMulticlassLikelihoodClassifierTInput.)
	Probability(TInput, TClasses)	Predicts a class label for each input vector, returning the probability that each vector belongs to its predicted class. (Inherited from IMulticlassLikelihoodClassifierBaseTInput, TClasses.)
	Probability(TInput, TClasses)	Predicts a class label for the given input vector, returning the probability that the input vector belongs to its predicted class. (Inherited from IMulticlassOutLikelihoodClassifierTInput, TClasses.)
	Probability(TInput, Int32)	Computes the probability that the given input vector belongs to the specified classIndex. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	Probability(TInput, Int32)	Computes the probability that the given input vectors belongs to each class specified in classIndex. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	Probability(TInput, Int32)	Computes the probability that the given input vectors belongs to each class specified in classIndex. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	Probability(TInput, TClasses, Double)	Predicts a class label for each input vector, returning the probability that each vector belongs to its predicted class. (Inherited from IMulticlassLikelihoodClassifierBaseTInput, TClasses.)
	Probability(TInput, Int32, Double)	Computes the probability that the given input vectors belongs to each class specified in classIndex. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	Probability(TInput, Int32, Double)	Computes the probability that the given input vectors belongs to each class specified in classIndex. (Inherited from IMultilabelLikelihoodClassifierTInput.)
	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 IMulticlassScoreClassifierTInput.)
	Score(TInput)	Computes a numerical score measuring the association between each of the given input vectors and their respective most strongly associated classes. (Inherited from IMulticlassScoreClassifierTInput.)
	Score(TInput, TClasses)	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 IMulticlassOutScoreClassifierTInput, TClasses.)
	Score(TInput, Double)	Computes a numerical score measuring the association between each of the given input vectors and their respective most strongly associated classes. (Inherited from IMulticlassScoreClassifierTInput.)
	Score(TInput, TClasses)	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 IMulticlassScoreClassifierBaseTInput, TClasses.)
	Score(TInput, Int32)	Computes a numerical score measuring the association between the given input vector and a given classIndex. (Inherited from IMultilabelScoreClassifierTInput.)
	Score(TInput, Int32)	Computes a numerical score measuring the association between each of the given input vectors and the given classIndex. (Inherited from IMultilabelScoreClassifierTInput.)
	Score(TInput, Int32)	Computes a numerical score measuring the association between each of the given input vectors and the given classIndex. (Inherited from IMultilabelScoreClassifierTInput.)
	Score(TInput, TClasses, 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 IMulticlassScoreClassifierBaseTInput, TClasses.)
	Score(TInput, Int32, Double)	Computes a numerical score measuring the association between each of the given input vectors and the given classIndex. (Inherited from IMultilabelScoreClassifierTInput.)
	Score(TInput, Int32, Double)	Computes a numerical score measuring the association between each of the given input vectors and the given classIndex. (Inherited from IMultilabelScoreClassifierTInput.)
	Scores(TInput)	Computes a numerical score measuring the association between the given input vector and each class. (Inherited from IMultilabelScoreClassifierTInput.)
	Scores(TInput)	Computes a numerical score measuring the association between each of the given input vectors and each possible class. (Inherited from IMultilabelScoreClassifierTInput.)
	Scores(TInput, TClasses)	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 IMultilabelOutScoreClassifierTInput, TClasses.)
	Scores(TInput, Double)	Computes a numerical score measuring the association between the given input vector and each class. (Inherited from IMultilabelScoreClassifierTInput.)
	Scores(TInput, Double)	Computes a numerical score measuring the association between each of the given input vectors and each possible class. (Inherited from IMultilabelScoreClassifierTInput.)
	Scores(TInput, TClasses)	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 IMultilabelScoreClassifierBaseTInput, TClasses.)
	Scores(TInput, TClasses, 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 IMultilabelOutScoreClassifierTInput, TClasses.)
	Scores(TInput, TClasses, 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 IMultilabelScoreClassifierBaseTInput, TClasses.)
	ToMulticlass	Views this instance as a multi-class generative classifier, giving access to more advanced methods, such as the prediction of integer labels. (Inherited from IBinaryLikelihoodClassifierTInput.)
	ToMultilabel	Views this instance as a multi-label classifier, giving access to more advanced methods, such as the prediction of one-hot vectors. (Inherited from IMulticlassClassifierTInput.)
	Transform(TInput)	Applies the transformation to an input, producing an associated output. (Inherited from ICovariantTransformTInput, TOutput.)
	Transform(TInput)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from ICovariantTransformTInput, TOutput.)
	Transform(TInput, TOutput)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from ITransformTInput, TOutput.)

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Reference

Accord.MachineLearning.VectorMachines Namespace

ISupportVectorMachineAddLanguageSpecificTextSet("LST96E1E4DE_0?cs=&lt;|vb=(Of |cpp=&lt;|fs=&lt;'|nu=(");TInputAddLanguageSpecificTextSet("LST96E1E4DE_1?cs=&gt;|vb=)|cpp=&gt;|fs=&gt;|nu=)"); Interface

Type Parameters

Reference

ISupportVectorMachineTInput Interface