WeightSVM (version 1.7-16)

plot.tune_wsvm: Plot Tuning Object

Description

Visualizes the results of parameter tuning.

Usage

# S3 method for 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, ...)

Value

None

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.

Author

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

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)