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glmnet objects are created from the glmnet package, leveraged to fit generalized linear models via penalized maximum likelihood.

Usage

# S3 method for 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 FALSE.

...

Any additional arguments related to axing.

Value

Axed glmnet object.

Examples

# \donttest{
if (rlang::is_installed("glmnet")) {

suppressWarnings(suppressMessages(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)

}
# }