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.
| Version: |
1.0 |
| Imports: |
FNN, glmnet |
| Published: |
2016-02-12 |
| Author: |
Scott Powers, Trevor Hastie, Robert Tibshirani |
| Maintainer: |
Scott Powers <sspowers at stanford.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
customizedTraining results |
Downloads: