axe-multnet {butcher}

Axing an multnet.

Description

multnet objects are created from carrying out multinomial regression in the glmnet package.

Usage

## S3 method for class 'multnet'
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 multnet object.

Examples

# Load libraries
library(parsnip)

# Load data
set.seed(1234)
predictrs <- matrix(rnorm(100*20), ncol = 20)
colnames(predictrs) <- paste0("a", seq_len(ncol(predictrs)))
response <- as.factor(sample(1:4, 100, replace = TRUE))

# Create model and fit
multnet_fit <- multinom_reg(penalty = 0.1) %>%
  set_engine("glmnet") %>%
  fit_xy(x = predictrs, y = response)

out <- butcher(multnet_fit, verbose = TRUE)