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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
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Package details |
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| Author | Scott Powers [aut, cre], Trevor Hastie [aut], Robert Tibshirani [aut] |
| Maintainer | Scott Powers <saberpowers@gmail.com> |
| License | GPL-2 |
| Version | 1.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the customizedTraining package in your browser
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