tl_fit_regularized: Fit a regularized regression model (Ridge, Lasso, or Elastic...

In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem

Fit a regularized regression model (Ridge, Lasso, or Elastic Net)

Description

Fit a regularized regression model (Ridge, Lasso, or Elastic Net)

Usage

tl_fit_regularized(
  data,
  formula,
  is_classification = FALSE,
  alpha = 0,
  lambda = NULL,
  cv_folds = 5,
  ...
)

Arguments

data	A data frame containing the training data
formula	A formula specifying the model
is_classification	Logical indicating if this is a classification problem
alpha	Mixing parameter (0 for Ridge, 1 for Lasso, between 0-1 for Elastic Net)
lambda	Regularization parameter (if NULL, uses cross-validation to select)
cv_folds	Number of folds for cross-validation (default: 5)
...	Additional arguments to pass to glmnet()

Value

A fitted regularized regression model

tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.