customizedTraining (1.2)

0 users

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

Uses: FNN, glmnet

Released 8 months ago.


2 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of customizedTraining yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for customizedTraining on google, google scholar, r-help, r-devel.

Visit customizedTraining on R Graphical Manual.