plot.tune_wsvm: Plot Tuning Object

In WeightSVM: Subject Weighted Support Vector Machines

Plot Tuning Object

Description

Visualizes the results of parameter tuning.

Usage

## S3 method for class 'tune_wsvm'
plot(x, type = c("contour", "perspective"), theta = 60,
          col = "lightblue", main = NULL, xlab = NULL, ylab = NULL,
          swapxy = FALSE, transform.x = NULL, transform.y = NULL,
          transform.z = NULL, color.palette = hsv_palette(),
          nlevels = 20, ...)

Arguments

x	an object of class tune_wsvm
type	choose whether a contour plot or a perspective plot is used if two parameters are to be visualized. Ignored if only one parameter has been tuned.
theta	angle of azimuthal direction.
col	the color(s) of the surface facets. Transparent colors are ignored.
main	main title.
xlab, ylab	titles for the axes. N.B. These must be character strings; expressions are not accepted. Numbers will be coerced to character strings.
swapxy	if TRUE, the parameter axes are swaped (only used in case of two parameters).
transform.x, transform.y, transform.z	functions to transform the parameters (x and y) and the error measures (z). Ignored if NULL.
color.palette	color palette used in contour plot.
nlevels	number of levels used in contour plot.
...	Further graphics parameters.

Value

None

Author(s)

David Meyer (based on C/C++-code by Chih-Chung Chang and Chih-Jen Lin)
Modified by Tianchen Xu [e-mail]

See Also

tune_wsvm

Examples

data(iris)

obj <- tune_wsvm(Species~., weight = c(rep(0.8, 50),rep(1,100)),
            data = iris, ranges = list(gamma = 2^(-1:1), cost = 2^(2:4)),
            tunecontrol = tune.control(sampling = "fix"))

summary(obj)
plot(obj, transform.x = log2, transform.y = log2)
plot(obj, type = "perspective", theta = 120, phi = 45)

WeightSVM documentation built on July 14, 2022, 5:05 p.m.