KernelSupportVectorMachine Class

Note: This API is now obsolete.

Obsolete.

Inheritance Hierarchy

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

Syntax

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[SerializableAttribute]
[ObsoleteAttribute("Please use SupportVectorMachine<TKernel>.")]
public class KernelSupportVectorMachine : SupportVectorMachine<IKernel<double[]>>, 
	ISupportVectorMachine<double[]>, IBinaryLikelihoodClassifier<double[]>, IBinaryScoreClassifier<double[]>, 
	IBinaryClassifier<double[]>, IMulticlassClassifier<double[]>, IMultilabelClassifier<double[]>, 
	IMultilabelClassifier<double[], int[]>, IClassifier<double[], int[]>, 
	IClassifier, ITransform<double[], int[]>, ICovariantTransform<double[], int[]>, 
	ITransform, IMultilabelClassifier<double[], bool[]>, IClassifier<double[], bool[]>, 
	ITransform<double[], bool[]>, ICovariantTransform<double[], bool[]>, 
	IMultilabelClassifier<double[], double[]>, IClassifier<double[], double[]>, 
	ITransform<double[], double[]>, ICovariantTransform<double[], double[]>, 
	IMulticlassClassifier<double[], int>, IClassifier<double[], int>, 
	ITransform<double[], int>, ICovariantTransform<double[], int>, 
	IMulticlassClassifier<double[], double>, IClassifier<double[], double>, 
	ITransform<double[], double>, ICovariantTransform<double[], double>, 
	IClassifier<double[], bool>, ITransform<double[], bool>, 
	ICovariantTransform<double[], bool>, IMulticlassOutScoreClassifier<double[], bool>, 
	IMulticlassScoreClassifierBase<double[], bool>, IMultilabelOutScoreClassifier<double[], bool>, 
	IMultilabelScoreClassifierBase<double[], bool>, IMulticlassScoreClassifier<double[]>, 
	IMulticlassScoreClassifier<double[], int>, IMulticlassOutScoreClassifier<double[], int>, 
	IMulticlassScoreClassifierBase<double[], int>, IMultilabelOutScoreClassifier<double[], int>, 
	IMultilabelScoreClassifierBase<double[], int>, IMulticlassRefScoreClassifier<double[], int[]>, 
	IMultilabelRefScoreClassifier<double[], int[]>, IMultilabelScoreClassifierBase<double[], int[]>, 
	IMulticlassScoreClassifier<double[], double>, IMulticlassOutScoreClassifier<double[], double>, 
	IMulticlassScoreClassifierBase<double[], double>, IMultilabelOutScoreClassifier<double[], double>, 
	IMultilabelScoreClassifierBase<double[], double>, IMulticlassRefScoreClassifier<double[], double[]>, 
	IMultilabelRefScoreClassifier<double[], double[]>, IMultilabelScoreClassifierBase<double[], double[]>, 
	IMulticlassRefScoreClassifier<double[], bool[]>, IMultilabelRefScoreClassifier<double[], bool[]>, 
	IMultilabelScoreClassifierBase<double[], bool[]>, IMultilabelScoreClassifier<double[]>, 
	IMultilabelScoreClassifier<double[], int>, IMultilabelScoreClassifier<double[], double>, 
	IMulticlassOutLikelihoodClassifier<double[], bool>, IMultilabelOutLikelihoodClassifier<double[], bool>, 
	IMultilabelLikelihoodClassifierBase<double[], bool>, IMulticlassLikelihoodClassifierBase<double[], bool>, 
	IMulticlassLikelihoodClassifier<double[]>, IMulticlassLikelihoodClassifier<double[], int>, 
	IMulticlassOutLikelihoodClassifier<double[], int>, IMultilabelOutLikelihoodClassifier<double[], int>, 
	IMultilabelLikelihoodClassifierBase<double[], int>, IMulticlassLikelihoodClassifierBase<double[], int>, 
	IMulticlassRefLikelihoodClassifier<double[], int[]>, IMultilabelRefLikelihoodClassifier<double[], int[]>, 
	IMultilabelLikelihoodClassifierBase<double[], int[]>, IMulticlassLikelihoodClassifier<double[], double>, 
	IMulticlassOutLikelihoodClassifier<double[], double>, IMultilabelOutLikelihoodClassifier<double[], double>, 
	IMultilabelLikelihoodClassifierBase<double[], double>, IMulticlassLikelihoodClassifierBase<double[], double>, 
	IMulticlassRefLikelihoodClassifier<double[], double[]>, IMultilabelRefLikelihoodClassifier<double[], double[]>, 
	IMultilabelLikelihoodClassifierBase<double[], double[]>, IMulticlassRefLikelihoodClassifier<double[], bool[]>, 
	IMultilabelRefLikelihoodClassifier<double[], bool[]>, IMultilabelLikelihoodClassifierBase<double[], bool[]>, 
	IMultilabelLikelihoodClassifier<double[]>, IMultilabelLikelihoodClassifier<double[], int>, 
	IMultilabelLikelihoodClassifier<double[], double>

<SerializableAttribute>
<ObsoleteAttribute("Please use SupportVectorMachine<TKernel>.")>
Public Class KernelSupportVectorMachine
	Inherits SupportVectorMachine(Of IKernel(Of Double()))
	Implements ISupportVectorMachine(Of Double()), IBinaryLikelihoodClassifier(Of Double()), 
	IBinaryScoreClassifier(Of Double()), IBinaryClassifier(Of Double()), 
	IMulticlassClassifier(Of Double()), IMultilabelClassifier(Of Double()), 
	IMultilabelClassifier(Of Double(), Integer()), IClassifier(Of Double(), Integer()), 
	IClassifier, ITransform(Of Double(), Integer()), 
	ICovariantTransform(Of Double(), Integer()), ITransform, 
	IMultilabelClassifier(Of Double(), Boolean()), IClassifier(Of Double(), Boolean()), 
	ITransform(Of Double(), Boolean()), ICovariantTransform(Of Double(), Boolean()), 
	IMultilabelClassifier(Of Double(), Double()), IClassifier(Of Double(), Double()), 
	ITransform(Of Double(), Double()), ICovariantTransform(Of Double(), Double()), 
	IMulticlassClassifier(Of Double(), Integer), IClassifier(Of Double(), Integer), 
	ITransform(Of Double(), Integer), ICovariantTransform(Of Double(), Integer), 
	IMulticlassClassifier(Of Double(), Double), IClassifier(Of Double(), Double), 
	ITransform(Of Double(), Double), ICovariantTransform(Of Double(), Double), 
	IClassifier(Of Double(), Boolean), ITransform(Of Double(), Boolean), 
	ICovariantTransform(Of Double(), Boolean), IMulticlassOutScoreClassifier(Of Double(), Boolean), 
	IMulticlassScoreClassifierBase(Of Double(), Boolean), IMultilabelOutScoreClassifier(Of Double(), Boolean), 
	IMultilabelScoreClassifierBase(Of Double(), Boolean), IMulticlassScoreClassifier(Of Double()), 
	IMulticlassScoreClassifier(Of Double(), Integer), IMulticlassOutScoreClassifier(Of Double(), Integer), 
	IMulticlassScoreClassifierBase(Of Double(), Integer), IMultilabelOutScoreClassifier(Of Double(), Integer), 
	IMultilabelScoreClassifierBase(Of Double(), Integer), IMulticlassRefScoreClassifier(Of Double(), Integer()), 
	IMultilabelRefScoreClassifier(Of Double(), Integer()), IMultilabelScoreClassifierBase(Of Double(), Integer()), 
	IMulticlassScoreClassifier(Of Double(), Double), IMulticlassOutScoreClassifier(Of Double(), Double), 
	IMulticlassScoreClassifierBase(Of Double(), Double), IMultilabelOutScoreClassifier(Of Double(), Double), 
	IMultilabelScoreClassifierBase(Of Double(), Double), IMulticlassRefScoreClassifier(Of Double(), Double()), 
	IMultilabelRefScoreClassifier(Of Double(), Double()), IMultilabelScoreClassifierBase(Of Double(), Double()), 
	IMulticlassRefScoreClassifier(Of Double(), Boolean()), IMultilabelRefScoreClassifier(Of Double(), Boolean()), 
	IMultilabelScoreClassifierBase(Of Double(), Boolean()), IMultilabelScoreClassifier(Of Double()), 
	IMultilabelScoreClassifier(Of Double(), Integer), IMultilabelScoreClassifier(Of Double(), Double), 
	IMulticlassOutLikelihoodClassifier(Of Double(), Boolean), IMultilabelOutLikelihoodClassifier(Of Double(), Boolean), 
	IMultilabelLikelihoodClassifierBase(Of Double(), Boolean), IMulticlassLikelihoodClassifierBase(Of Double(), Boolean), 
	IMulticlassLikelihoodClassifier(Of Double()), IMulticlassLikelihoodClassifier(Of Double(), Integer), 
	IMulticlassOutLikelihoodClassifier(Of Double(), Integer), IMultilabelOutLikelihoodClassifier(Of Double(), Integer), 
	IMultilabelLikelihoodClassifierBase(Of Double(), Integer), IMulticlassLikelihoodClassifierBase(Of Double(), Integer), 
	IMulticlassRefLikelihoodClassifier(Of Double(), Integer()), IMultilabelRefLikelihoodClassifier(Of Double(), Integer()), 
	IMultilabelLikelihoodClassifierBase(Of Double(), Integer()), IMulticlassLikelihoodClassifier(Of Double(), Double), 
	IMulticlassOutLikelihoodClassifier(Of Double(), Double), IMultilabelOutLikelihoodClassifier(Of Double(), Double), 
	IMultilabelLikelihoodClassifierBase(Of Double(), Double), IMulticlassLikelihoodClassifierBase(Of Double(), Double), 
	IMulticlassRefLikelihoodClassifier(Of Double(), Double()), IMultilabelRefLikelihoodClassifier(Of Double(), Double()), 
	IMultilabelLikelihoodClassifierBase(Of Double(), Double()), IMulticlassRefLikelihoodClassifier(Of Double(), Boolean()), 
	IMultilabelRefLikelihoodClassifier(Of Double(), Boolean()), IMultilabelLikelihoodClassifierBase(Of Double(), Boolean()), 
	IMultilabelLikelihoodClassifier(Of Double()), IMultilabelLikelihoodClassifier(Of Double(), Integer), 
	IMultilabelLikelihoodClassifier(Of Double(), Double)

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The KernelSupportVectorMachine type exposes the following members.

Constructors

	Name	Description
	KernelSupportVectorMachine(IKernel, Int32)	Obsolete.
	KernelSupportVectorMachine(IKernelDouble, Int32)	Obsolete.

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Properties

	Name	Description
	Inputs	Obsolete. Gets the number of inputs accepted by this machine. (Inherited from SupportVectorMachineTKernel, TInput.)
	IsCompact	Obsolete. Obsolete. (Inherited from SupportVectorMachineTKernel, TInput.)
	IsProbabilistic	Gets whether this machine has been calibrated to produce probabilistic outputs (through the Probability(TInput) method). (Inherited from SupportVectorMachineTKernel, TInput.)
	Kernel	Obsolete.
	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.)
	SupportVectors	Gets or sets the collection of support vectors used by this machine. (Inherited from SupportVectorMachineTKernel, TInput.)
	Threshold	Gets or sets the threshold (bias) term for this machine. (Inherited from SupportVectorMachineTKernel, TInput.)
	Weights	Gets or sets the collection of weights used by this machine. (Inherited from SupportVectorMachineTKernel, TInput.)

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Methods

	Name	Description
	Clone	Obsolete. (Overrides SupportVectorMachineTKernelClone.)
	Compress	If this machine has a linear kernel, compresses all support vectors into a single parameter vector. (Inherited from SupportVectorMachineTKernel, TInput.)
	Compute(TInput)	Obsolete. Computes the given input to produce the corresponding output. (Inherited from SupportVectorMachineTKernel, TInput.)
	Compute(TInput, Double)	Obsolete. Computes the given input to produce the corresponding output. (Inherited from SupportVectorMachineTKernel, TInput.)
	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 SupportVectorMachineTKernel, TInput.)
	Decide(TInput, Boolean)	Computes class-label decisions for the given input. (Inherited from BinaryClassifierBaseTInput.)
	Decide(TInput, Boolean)	Computes a class-label decision for a given input. (Inherited from BinaryScoreClassifierBaseTInput.)
	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.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	LogLikelihood(TInput, Boolean)	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 BinaryLikelihoodClassifierBaseTInput.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	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 SupportVectorMachineTKernel, TInput.)
	LogLikelihood(TInput, Boolean, Double)	Predicts a class label for each input vector, returning the log-likelihood that each vector belongs to its predicted class. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	LogLikelihoods(TInput)	Computes the log-likelihood that the given input vector belongs to each of the possible classes. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	LogLikelihoods(TInput)	Computes the log-likelihoods that the given input vectors belongs to each of the possible classes. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	LogLikelihoods(TInput, Boolean)	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 BinaryLikelihoodClassifierBaseTInput.)
	LogLikelihoods(TInput, Double)	Computes the log-likelihood that the given input vector belongs to each of the possible classes. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	LogLikelihoods(TInput, Double)	Computes the log-likelihoods that the given input vectors belongs to each of the possible classes. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	LogLikelihoods(TInput, Boolean, 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 BinaryLikelihoodClassifierBaseTInput.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	Probabilities(TInput)	Computes the probabilities that the given input vectors belongs to each of the possible classes. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	Probabilities(TInput, Boolean)	Predicts a class label vector for the given input vector, returning the probabilities of the input vector belonging to each possible class. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	Probabilities(TInput, Double)	Computes the probabilities that the given input vector belongs to each of the possible classes. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	Probabilities(TInput, Double)	Computes the probabilities that the given input vectors belongs to each of the possible classes. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	Probabilities(TInput, Boolean, Double)	Predicts a class label vector for each input vector, returning the probabilities of the input vector belonging to each possible class. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	Probability(TInput, Boolean)	Predicts a class label for the given input vector, returning the probability that the input vector belongs to its predicted class. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	Probability(TInput, Int32)	Predicts a class label for each input vector, returning the probability that each vector belongs to its predicted class. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	Probability(TInput, Boolean, Double)	Predicts a class label for each input vector, returning the probability that each vector belongs to its predicted class. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	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 BinaryScoreClassifierBaseTInput.)
	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 BinaryScoreClassifierBaseTInput.)
	Score(TInput, Boolean)	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 BinaryScoreClassifierBaseTInput.)
	Score(TInput, Boolean)	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 BinaryScoreClassifierBaseTInput.)
	Score(TInput, Double)	Computes a numerical score measuring the association between the given input vector and each class. (Inherited from SupportVectorMachineTKernel, TInput.)
	Score(TInput, Boolean, 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 BinaryScoreClassifierBaseTInput.)
	Scores(TInput)	Computes a numerical score measuring the association between the given input vector and each class. (Inherited from BinaryScoreClassifierBaseTInput.)
	Scores(TInput)	Computes a numerical score measuring the association between the given input vector and each class. (Inherited from BinaryScoreClassifierBaseTInput.)
	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 BinaryScoreClassifierBaseTInput.)
	Scores(TInput, Double)	Computes a numerical score measuring the association between the given input vector and each class. (Inherited from BinaryScoreClassifierBaseTInput.)
	Scores(TInput, Boolean)	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 BinaryScoreClassifierBaseTInput.)
	Scores(TInput, Double)	Computes a numerical score measuring the association between the given input vector and each class. (Inherited from BinaryScoreClassifierBaseTInput.)
	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 BinaryScoreClassifierBaseTInput.)
	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 BinaryScoreClassifierBaseTInput.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	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 BinaryLikelihoodClassifierBaseTInput.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)
	ToWeights	Converts a Linear-kernel machine into an array of linear coefficients. The first position in the array is the Threshold value. If this machine is not linear, an exception will be thrown. (Inherited from SupportVectorMachineTKernel.)
	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 BinaryClassifierBaseTInput.)
	Transform(TInput, Int32)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Boolean)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Int32)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Int32)	Applies the transformation to an input, producing an associated output. (Inherited from BinaryClassifierBaseTInput.)
	Transform(TInput, Double)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	Transform(TInput, Double)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	Transform(TInput, Double)	Applies the transformation to a set of input vectors, producing an associated set of output vectors. (Inherited from BinaryLikelihoodClassifierBaseTInput.)
	Transform(TInput, TClasses)	Applies the transformation to an input, producing an associated output. (Inherited from ClassifierBaseTInput, TClasses.)

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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.)

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Reference

Accord.MachineLearning.VectorMachines Namespace