customizedTraining: Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models
Version 1.1

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.

Package details

AuthorScott Powers, Trevor Hastie, Robert Tibshirani
Date of publication2016-09-14 18:50:53
MaintainerScott Powers <[email protected]>
Package repositoryView on CRAN
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customizedTraining documentation built on May 30, 2017, 5:20 a.m.