customizedTraining (1.2)

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.

Maintainer: Scott Powers
Author(s): Scott Powers, Trevor Hastie, Robert Tibshirani

License: GPL-2

Uses: FNN, glmnet

Released 11 months ago.