glmtrans
Transfer Learning under 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 regression models, can be fitted. To avoid negative transfer, a transferable source detection algorithm is proposed. We also provides visualization for the transferable source detection results. The relevant paper is available on arXiv:
- Version2.0.0
- R version≥ 3.5.0
- LicenseGPL-2
- Needs compilation?No
- Last release02/08/2022
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Ye Tian
Yang Feng
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