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DALEXtra  

Extension for 'DALEX' Package
View on CRAN: Click here


Download and install DALEXtra package within the R console
Install from CRAN:
install.packages("DALEXtra")

Install from Github:
library("remotes")
install_github("cran/DALEXtra")

Install by package version:
library("remotes")
install_version("DALEXtra", "2.3.1")



Attach the package and use:
library("DALEXtra")
Maintained by
Szymon Maksymiuk
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-19
Latest Update: 2023-05-26
Description:
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) 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.
How to cite:
Szymon Maksymiuk (2019). DALEXtra: Extension for 'DALEX' Package. R package version 2.3.1, https://cran.r-project.org/web/packages/DALEXtra. Accessed 26 Aug. 2026.
Previous versions and publish date:
0.1.7 (2019-09-19 18:20), 0.1.8 (2019-09-23 21:40), 0.2.0 (2019-11-18 17:00), 0.2.1 (2020-03-29 17:00), 1.3.1 (2020-07-16 20:12), 1.3.2 (2020-07-29 01:42), 2.0 (2020-09-07 12:30), 2.1.1 (2021-05-09 09:30), 2.2.0 (2022-04-23 10:00), 2.2.1 (2022-06-14 09:30), 2.3.0 (2023-05-26 02:10), (2026-07-09 08:01)
Other packages that cited DALEXtra R package
View DALEXtra citation profile
Other R packages that DALEXtra depends, imports, suggests or enhances
Complete documentation for DALEXtra
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