tidylearn (version 0.1.0)

tl_fit_regularized: 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,
  ...
)

Value

A fitted regularized regression model

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()