Linear Structure

Linear Kernel.

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

Syntax

[SerializableAttribute]
public struct Linear : IKernel, IKernel<double[]>, 
	IDistance, IDistance<double[]>, IDistance<double[], double[]>, 
	ILinear, ILinear<double[]>, ICloneable, IReverseDistance, 
	ITransform, ITransform<double[]>, IKernel<Sparse<double>>, 
	ILinear<Sparse<double>>, IDistance<Sparse<double>>, 
	IDistance<Sparse<double>, Sparse<double>>

<SerializableAttribute>
Public Structure Linear
	Implements IKernel, IKernel(Of Double()), 
	IDistance, IDistance(Of Double()), IDistance(Of Double(), Double()), 
	ILinear, ILinear(Of Double()), ICloneable, IReverseDistance, 
	ITransform, ITransform(Of Double()), IKernel(Of Sparse(Of Double)), 
	ILinear(Of Sparse(Of Double)), IDistance(Of Sparse(Of Double)), 
	IDistance(Of Sparse(Of Double), Sparse(Of Double))

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The Linear type exposes the following members.

Constructors

	Name	Description
	Linear	Constructs a new Linear kernel.

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Properties

	Name	Description
	Constant	Gets or sets the kernel's intercept term. Default is 0.

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Methods

	Name	Description
	Add(Double, Double, Double)	Elementwise addition of a and b, storing in result.
	Add(SparseDouble, Double, Double)	Elementwise addition of a and b, storing in result.
	Clone	Creates a new object that is a copy of the current instance.
	Compress(Double, SparseDouble, Double)	Compress a set of support vectors and weights into a single parameter vector.
	Compress(Double, Double, Double)	Compress a set of support vectors and weights into a single parameter vector.
	CreateVector(Double)	Creates an input vector from the given double values.
	CreateVector(Int32)	Creates an input vector with the given dimensions.
	Distance(Double, Double)	Computes the squared distance in input space between two points given in feature space.
	Distance(SparseDouble, SparseDouble)	Computes the squared distance in input space between two points given in feature space.
	Equals	Indicates whether this instance and a specified object are equal. (Inherited from ValueType.)
	Function(Double)	Linear kernel function.
	Function(Double, SparseDouble)	The kernel function.
	Function(Double, Double)	Linear kernel function.
	Function(SparseDouble, SparseDouble)	The kernel function.
	GetHashCode	Returns the hash code for this instance. (Inherited from ValueType.)
	GetLength(Double)	Gets the number of parameters in the input vectors.
	GetLength(SparseDouble)	Gets the number of parameters in the input vectors.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Product(Double, SparseDouble, Double)	Elementwise multiplication of scalar a and vector b, storing in result.
	Product(Double, Double, Double)	Elementwise multiplication of scalar a and vector b, storing in result.
	Product(Double, SparseDouble, Double)	Elementwise multiplication of vector a and vector b, accumulating in result.
	Product(Double, Double, Double)	Elementwise multiplication of vector a and vector b, accumulating in result.
	ReverseDistance	Computes the squared distance in input space between two points given in feature space.
	ToDouble(Double)	Converts the input vectors to a double-precision representation.
	ToDouble(SparseDouble)	Converts the input vectors to a double-precision representation.
	ToString	Returns the fully qualified type name of this instance. (Inherited from ValueType.)
	Transform(Double)	Projects an input point into feature space.
	Transform(Double)	Projects a set of input points into feature space.
	Transform(Double, Double)	Projects an input point into feature space.

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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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Reference

Accord.Statistics.Kernels Namespace