customizedTraining (1.2)
Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models.
http://cran.r-project.org/web/packages/customizedTraining
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.
Maintainer:
Scott Powers
Author(s): Scott Powers, Trevor Hastie, Robert Tibshirani
License: GPL-2
Released 11 months ago.