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.

Getting started

Package details

AuthorScott Powers, Trevor Hastie, Robert Tibshirani
MaintainerScott Powers <>
Package repositoryView on CRAN
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customizedTraining documentation built on May 2, 2019, 2:31 p.m.