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: |
1.3 |
| Imports: |
FNN, glmnet |
| Published: |
2025-01-08 |
| Author: |
Scott Powers [aut, cre],
Trevor Hastie [aut],
Robert Tibshirani [aut] |
| Maintainer: |
Scott Powers <saberpowers at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
customizedTraining results |
Documentation:
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