linear_kernel: Kernels

In NORMA: Builds General Noise SVRs

Description

linear_kernel computes the linear kernel between two given vector, x and y.

gaussian_kernel computes the gaussian kernel between two given vectors, x and y.

Usage

linear_kernel(x, y, gamma = 0)

gaussian_kernel(x, y, gamma)

Arguments

x	numeric vector indicating value of x.
y	numeric vector indicating value of y.
gamma	gaussian kernel parameter γ.

Details

Linear kernel:

k(x,y) = x*y

Gaussian kernel:

k(x,y) = exp(-γ||x-y||^2)

Value

Returns a numeric representing the kernel value.

Author(s)

Jesus Prada, [e-mail]

Examples

# Linear kernel value between point x=c(1,2,3) and point y=c(2,3,4).
linear_kernel(c(1,2,3),c(2,3,4))

# Gaussian kernel value between point x=c(1,2,3) and point y=c(2,3,4) with gamma=0.1.
gaussian_kernel(c(1,2,3),c(2,3,4),0.1)

NORMA documentation built on May 2, 2019, 11:11 a.m.