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.
||Scott Powers, Trevor Hastie, Robert Tibshirani
||Scott Powers <saberpowers at gmail.com>
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