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.
| Version: | 2.3.0 |
| Depends: | R (≥ 3.5.0),DALEX (≥ 2.4.0) |
| Imports: | ggplot2 |
| Suggests: | auditor,gbm,ggrepel,h2o,iml,ingredients,lime,localModel,mlr,mlr3,ranger,recipes,reticulate,rmarkdown,rpart,stacks,xgboost,testthat,tidymodels |
| Published: | 2023-05-26 |
| DOI: | 10.32614/CRAN.package.DALEXtra |
| Author: | Szymon Maksymiuk [aut, cre], Przemyslaw Biecek [aut], Hubert Baniecki [aut], Anna Kozak [ctb] |
| Maintainer: | Szymon Maksymiuk <sz.maksymiuk at gmail.com> |
| BugReports: | https://github.com/ModelOriented/DALEXtra/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL] |
| URL: | https://ModelOriented.github.io/DALEXtra/,https://github.com/ModelOriented/DALEXtra |
| NeedsCompilation: | no |
| Citation: | DALEXtra citation info |
| Materials: | NEWS |
| CRAN checks: | DALEXtra results[issues need fixing before 2025-12-22] |