axe-glmnet {butcher} | R Documentation |
Axing a glmnet.
Description
glmnet objects are created from the glmnet package, leveraged to fit generalized linear models via penalized maximum likelihood.
Usage
## S3 method for class 'glmnet'
axe_call(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 glmnet object.
Examples
library(parsnip)
# Wrap a parsnip glmnet model
wrapped_parsnip_glmnet <- function() {
some_junk_in_environment <- runif(1e6)
model <- logistic_reg(penalty = 10, mixture = 0.1) %>%
set_engine("glmnet") %>%
fit(as.factor(vs) ~ ., data = mtcars)
return(model$fit)
}
out <- butcher(wrapped_parsnip_glmnet(), verbose = TRUE)
[Package butcher version 0.3.4 Index]