DALEXtra
Extension for 'DALEX' Package
Provides wrapper of various machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the interpretable machine learning, there are more and more new ideas for explaining black-box models, that are implemented in 'R'. 'DALEXtra' creates 'DALEX' Biecek (2018) <doi:10.48550/arXiv.1806.08915> explainer for many type of models including those created using 'python' 'scikit-learn' and 'keras' libraries, and 'java' 'h2o' library. Important part of the package is Champion-Challenger analysis and innovative approach to model performance across subsets of test data presented in Funnel Plot.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.3.1 |
rolling linux/jammy R-4.5 | DALEXtra_2.3.1.tar.gz |
371.8 KiB |
2.3.1 |
rolling linux/noble R-4.5 | DALEXtra_2.3.1.tar.gz |
371.9 KiB |
2.3.1 |
rolling source/ R- | DALEXtra_2.3.1.tar.gz |
244.9 KiB |
2.3.1 |
latest linux/jammy R-4.5 | DALEXtra_2.3.1.tar.gz |
371.8 KiB |
2.3.1 |
latest linux/noble R-4.5 | DALEXtra_2.3.1.tar.gz |
371.9 KiB |
2.3.1 |
latest source/ R- | DALEXtra_2.3.1.tar.gz |
244.9 KiB |
2.3.1 |
2026-04-26 source/ R- | DALEXtra_2.3.1.tar.gz |
244.9 KiB |
2.3.1 |
2026-04-23 source/ R- | DALEXtra_2.3.1.tar.gz |
244.9 KiB |
2.3.1 |
2026-04-09 windows/windows R-4.5 | DALEXtra_2.3.1.zip |
377.3 KiB |
2.3.0 |
2025-04-20 source/ R- | DALEXtra_2.3.0.tar.gz |
244.2 KiB |