cv_glm_net: Cross-validation for glmnet

In berthetclement/spam: Model analisys on data spam

Description

Does k-fold cross-validation for glmnet, produces a plot ... By default, nfolds = 10

Usage

cv_glm_net(data_df, y_name, x_name, alpha_, ...)

Arguments

data_df	Model data, class "data.frame".
y_name	The variable cible (Y) in characters.
x_name	List of explanatory variables (list of characters).
alpha_	0 for Ridge and 1 for Lasso.
...	Add arguments from cv.glmnet().

See Also

cv.glmnet() for initial function

Other modeling functions: def_model_keras(), fit_keras(), glm_logit(), glm_net(), tree_rpart()

berthetclement/spam documentation built on Oct. 4, 2020, 9:03 p.m.