tidylearn (version 0.1.0)

tl_fit_lasso: Fit a Lasso regression model

Description

Fit a Lasso regression model

Usage

tl_fit_lasso(
  data,
  formula,
  is_classification = FALSE,
  alpha = 1,
  lambda = NULL,
  cv_folds = 5,
  ...
)

Value

A fitted Lasso 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()