Kernel {KGode}R Documentation

The 'Kernel' class object

Description

This a abstract class provide the kernel function and the 1st order derivative of rbf kernel function.

Format

R6Class object.

Value

an R6Class object which can be used for the rkhs interpolation.

Methods

kern(t1,t2)

This method is used to calculate the kernel function given two one dimensional real inputs.

dkd_kpar(t1,t2)

This method is used to calculate the gradient of kernel function against the kernel hyper parameters given two one dimensional real inputs.

dkdt(t1,t2)

This method is used to calculate the 1st order derivative of kernel function given two one dimensional real inputs.

Public fields

k_par

vector(of length n_hy) containing the hyper-parameter of kernel. n_hy is the length of kernel hyper parameters.

Methods

Public methods


Method new()

Usage
Kernel$new(k_par = NULL)

Method greet()

Usage
Kernel$greet()

Method kern()

Usage
Kernel$kern(t1, t2)

Method dkd_kpar()

Usage
Kernel$dkd_kpar(t1, t2)

Method dkdt()

Usage
Kernel$dkdt(t1, t2)

Method clone()

The objects of this class are cloneable with this method.

Usage
Kernel$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

Author(s)

Mu Niu, mu.niu@glasgow.ac.uk


[Package KGode version 1.0.4 Index]