Transfer Learning with Regularized Generalized Linear Models

We provide an efficient implementation for two-step multi-source transfer learning algorithms in high-dimensional generalized linear models (GLMs). The elastic-net penalized GLM with three popular families, including linear, logistic and Poisson models, can be fitted. To avoid negative transfer, a transferable source detection algorithm is available. We also provides visualization for the transferable source detection results. A relevant paper by Ye Tian and Yang Feng (2021) will be available soon on arXiv.


Reference manual

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1.0.0 by Ye Tian, 9 months ago

Browse source code at

Authors: Ye Tian [aut, cre] , Yang Feng [aut]

Documentation:   PDF Manual  

GPL-2 license

Imports glmnet, ggplot2, foreach, doParallel, caret, assertthat, formatR, stats

Suggests knitr, rmarkdown

See at CRAN