SparseCauchy Class

Note: This API is now obsolete.

Sparse Cauchy Kernel.

Inheritance Hierarchy

SystemObject
  Accord.Statistics.KernelsKernelBaseDouble
    Accord.Statistics.KernelsKernelBase
      Accord.Statistics.Kernels.SparseSparseCauchy

Namespace: Accord.Statistics.Kernels.Sparse
Assembly: Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

Syntax

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[SerializableAttribute]
[ObsoleteAttribute("Please use the Cauchy kernel with Sparse<double> instead.")]
public sealed class SparseCauchy : KernelBase, 
	IKernel, IKernel<double[]>

<SerializableAttribute>
<ObsoleteAttribute("Please use the Cauchy kernel with Sparse<double> instead.")>
Public NotInheritable Class SparseCauchy
	Inherits KernelBase
	Implements IKernel, IKernel(Of Double())

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The SparseCauchy type exposes the following members.

Constructors

	Name	Description
	SparseCauchy	Constructs a new Sparse Cauchy Kernel.

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Properties

	Name	Description
	Sigma	Gets or sets the kernel's sigma value.

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Methods

	Name	Description
	Distance	Computes the squared distance in feature space between two points given in input space. (Inherited from KernelBaseTInput.)
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Function	Cauchy Kernel Function (Overrides KernelBaseTInputFunction(TInput, TInput).)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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Extension Methods

	Name	Description
	Distance	Computes the kernel distance for a kernel function even if it doesn't implement the IDistance interface. Can be used to check the proper implementation of the distance function. (Defined by Tools.)
	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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Remarks

The Cauchy kernel comes from the Cauchy distribution (Basak, 2008). It is a long-tailed kernel and can be used to give long-range influence and sensitivity over the high dimension space.

Reference

Accord.Statistics.Kernels.Sparse Namespace