plot: plot method for support vector object

In elad663/kernlab: Kernel-Based Machine Learning Lab

Description

Plot a binary classification support vector machine object. The plot function returns a contour plot of the decision values.

Usage

## S4 method for signature 'ksvm'
plot(object, data=NULL, grid = 50, slice = list())

Arguments

object	a ksvm classification object created by the ksvm function
data	a data frame or matrix containing data to be plotted
grid	granularity for the contour plot.
slice	a list of named numeric values for the dimensions held constant (only needed if more than two variables are used). Dimensions not specified are fixed at 0.

Author(s)

Alexandros Karatzoglou
[e-mail]

See Also

ksvm

Examples

## Demo of the plot function
x <- rbind(matrix(rnorm(120),,2),matrix(rnorm(120,mean=3),,2))
y <- matrix(c(rep(1,60),rep(-1,60)))

svp <- ksvm(x,y,type="C-svc")
plot(svp,data=x)

elad663/kernlab documentation built on May 7, 2019, 6:06 a.m.