C# Класс Accord.Statistics.Kernels.Pearson

Наследование: Accord.Statistics.Kernels.KernelBase, IKernel, IDistance, ICloneable

Открытые методы

Метод	Описание
Clone ( ) : object	Creates a new object that is a copy of the current instance.
Function ( double z ) : double	Pearson Universal function.
Function ( double x, double y ) : double	Pearson Universal kernel function.
Pearson ( ) : Accord.Math.Distances	Constructs a new Pearson VII universal kernel.
Pearson ( double omega, double sigma ) : Accord.Math.Distances	Constructs a new Pearson VII universal kernel.

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

public Clone ( ) : object
Результат	object

Pearson Universal function.

public Function ( double z ) : double
z	double	Distance z in input space.
Результат	double

Pearson Universal kernel function.

public Function ( double x, double y ) : double
x	double	Vector x in input space.
y	double	Vector y in input space.
Результат	double

Constructs a new Pearson VII universal kernel.

public Pearson ( ) : Accord.Math.Distances
Результат	Accord.Math.Distances

Constructs a new Pearson VII universal kernel.

public Pearson ( double omega, double sigma ) : Accord.Math.Distances
omega	double	The Pearson's omega parameter w. Default is 1.
sigma	double	The Pearson's sigma parameter s. Default is 1.
Результат	Accord.Math.Distances