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 thealphaargument ofxplus().- cv_measure
Cross-validation criterion (
"deviance"or"auc").