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The default backend: penalized binomial regression with internal cross-validation via glmnet::cv.glmnet(), reproducing the historical xplus behavior.

Usage

xplus_backend_glmnet(alpha = 1, cv_measure = c("deviance", "auc"))

Arguments

alpha

Elastic-net mixing parameter in [0, 1], the same as the alpha argument of xplus().

cv_measure

Cross-validation criterion ("deviance" or "auc").

Value

An "xplus_backend" object.

Examples

backend <- xplus_backend_glmnet(alpha = 0.5)