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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.

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
Author: Szymon Maksymiuk ORCID iD [aut, cre], Przemyslaw Biecek ORCID iD [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

Documentation:

Reference manual: DALEXtra.pdf

Downloads:

Package source: DALEXtra_2.3.0.tar.gz
Windows binaries: r-devel: DALEXtra_2.3.0.zip, r-release: DALEXtra_2.3.0.zip, r-oldrel: DALEXtra_2.3.0.zip
macOS binaries: r-release (arm64): DALEXtra_2.3.0.tgz, r-oldrel (arm64): DALEXtra_2.3.0.tgz, r-release (x86_64): DALEXtra_2.3.0.tgz, r-oldrel (x86_64): DALEXtra_2.3.0.tgz
Old sources: DALEXtra archive

Reverse dependencies:

Reverse imports: tidysdm, viralx
Reverse suggests: marginaleffects, mlr3shiny

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DALEXtra to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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