customizedTraining
Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models
v1.3
·
Jan 8, 2025
·
GPL-2
Description
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.
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| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
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| r-patched-linux-x86_64 | OK |
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| r-release-windows-x86_64 | OK |