saberpowers/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 <[email protected]>
LicenseGPL-2
Version1.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("saberpowers/customizedTraining")
saberpowers/customizedTraining documentation built on Feb. 12, 2018, 12:31 a.m.