C# Class Accord.Statistics.Kernels.Sparse.SparseLinear

Inheritance: KernelBase, IKernel, ITransform

Méthodes publiques

Méthode	Description
Clone ( ) : object	Creates a new object that is a copy of the current instance.
Distance ( double x, double y ) : double	Computes the squared distance in feature space between two points given in input space.
Function ( double x, double y ) : double	Sparse Linear kernel function.
Product ( double x, double y ) : double	Computes the product of two vectors given in sparse representation.
SparseLinear ( ) : System	Constructs a new Linear Kernel.
SparseLinear ( double constant ) : System	Constructs a new Linear kernel.
SquaredEuclidean ( double x, double y ) : double	Computes the squared Euclidean distance of two vectors given in sparse representation.

Creates a new object that is a copy of the current instance.

public Clone ( ) : object
Résultat	object

Computes the squared distance in feature space between two points given in input space.

public Distance ( double x, double y ) : double
x	double	Vector x in feature (kernel) space.
y	double	Vector y in feature (kernel) space.
Résultat	double

Sparse Linear kernel function.

public Function ( double x, double y ) : double
x	double	Sparse vector x in input space.
y	double	Sparse vector y in input space.
Résultat	double

Computes the product of two vectors given in sparse representation.

public static Product ( double x, double y ) : double
x	double	The first vector x.
y	double	The second vector y.
Résultat	double

Constructs a new Linear Kernel.

public SparseLinear ( ) : System
Résultat	System

Constructs a new Linear kernel.

public SparseLinear ( double constant ) : System
constant	double	A constant intercept term. Default is 0.
Résultat	System

Computes the squared Euclidean distance of two vectors given in sparse representation.

public static SquaredEuclidean ( double x, double y ) : double
x	double	The first vector x.
y	double	The second vector y.
Résultat	double