axe-ksvm | R Documentation |
ksvm 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_ksvm
class is not appended.
## S3 method for class 'ksvm'
axe_call(x, verbose = FALSE, ...)
## S3 method for class 'ksvm'
axe_data(x, verbose = FALSE, ...)
## S3 method for class 'ksvm'
axe_fitted(x, verbose = FALSE, ...)
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. |
Axed ksvm object.
# Load libraries
library(parsnip)
library(kernlab)
# Load data
data(spam)
# Create model and fit
ksvm_class <- svm_poly(mode = "classification") %>%
set_engine("kernlab") %>%
fit(type ~ ., data = spam)
out <- butcher(ksvm_class, verbose = TRUE)
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