E2E
0.1.3Ensemble Learning Framework for Diagnostic and Prognostic Modeling
Overview
Provides a framework to build and evaluate diagnosis or prognosis models using stacking, voting, and bagging ensemble techniques with various base learners. The package also includes tools for visualization and interpretation of models. The development version of the package is available on 'GitHub' at https://github.com/xiaojie0519/E2E. The methods are based on the foundational work of Breiman (1996) doi:10.1007/BF00058655 on bagging and Wolpert (1992) doi:10.1016/S0893-6080(05)80023-1 on stacking.
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- ERROR r-oldrel-macos-arm64
- ERROR2026-03-1012 OK · 0 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE
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Package metadata
- First published
- 2025-08-26
- Total releases
- 5 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 259 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet