customizedTraining
Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models
Customized training is a simple technique for transductive learning, when the test covariates are known at the time of training. The method identifies a subset of the training set to serve as the training set for each of a few identified subsets in the training set. This package implements customized training for the glmnet() and cv.glmnet() functions.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3 |
2026-04-09 windows/windows R-4.5 | customizedTraining_1.3.zip |
95.5 KiB |