tl_plot_regularization_cv: Plot cross-validation results for a regularized regression...
In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem
View source: R/supervised-regularization.R
tl_plot_regularization_cv R Documentation
Plot cross-validation results for a regularized regression model
Description
Shows the cross-validation error as a function of lambda for ridge, lasso,
or elastic net models fitted with cv.glmnet.
Usage
tl_plot_regularization_cv(model, ...)
Arguments
model
A tidylearn regularized model object (ridge, lasso, or elastic_net)
...
Additional arguments (currently unused)
Value
A ggplot object showing CV error vs lambda
tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.
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View source: R/supervised-regularization.R
| tl_plot_regularization_cv | R Documentation |
Plot cross-validation results for a regularized regression model
Description
Shows the cross-validation error as a function of lambda for ridge, lasso, or elastic net models fitted with cv.glmnet.
Usage
tl_plot_regularization_cv(model, ...)
Arguments
model |
A tidylearn regularized model object (ridge, lasso, or elastic_net) |
... |
Additional arguments (currently unused) |
Value
A ggplot object showing CV error vs lambda
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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