axe-gausspr {butcher} | R Documentation |
Axing a gausspr.
Description
gausspr objects are created from kernlab package, which
provides a means to do classification, regression, clustering,
novelty detection, quantile regression and dimensionality
reduction. Since fitted model objects from kernlab are S4,
the butcher_gausspr
class is not appended.
Usage
## S3 method for class 'gausspr'
axe_call(x, verbose = FALSE, ...)
## S3 method for class 'gausspr'
axe_data(x, verbose = FALSE, ...)
## S3 method for class 'gausspr'
axe_env(x, verbose = FALSE, ...)
## S3 method for class 'gausspr'
axe_fitted(x, verbose = FALSE, ...)
Arguments
x |
A model object. |
verbose |
Print information each time an axe method is executed.
Notes how much memory is released and what functions are
disabled. Default is |
... |
Any additional arguments related to axing. |
Value
Axed gausspr object.
Examples
library(kernlab)
test <- gausspr(Species ~ ., data = iris, var = 2)
out <- butcher(test, verbose = TRUE)
# Example with simulated regression data
x <- seq(-20, 20, 0.1)
y <- sin(x)/x + rnorm(401, sd = 0.03)
test2 <- gausspr(x, y)
out <- butcher(test2, verbose = TRUE)
[Package butcher version 0.3.4 Index]