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DALEXtra
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]
[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 05 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
Functions, R codes and Examples using
the DALEXtra R package
Some associated functions: champion_challenger . create_env . dalex_load_explainer . explain_h2o . explain_keras . explain_mlr . explain_mlr3 . explain_scikitlearn . explain_tidymodels . explain_xgboost . funnel_measure . model_info . overall_comparison . plot.funnel_measure . plot.overall_comparison . plot.trainig_test_comparison . predict_surrogate . print.funnel_measure . print.overall_comparison . print.scikitlearn_set . print.training_test_comparison . trainig_test_comparison . yhat .
Some associated R codes: champion_challenger.R . create_env.R . dalex_load_explainer.R . explain_h2o.R . explain_keras.R . explain_mlr.R . explain_mlr3.R . explain_scikitlearn.R . explain_tidymodels.R . explain_xgboost.R . funnel_measure.R . generate_chunk.R . helper_functions.R . model_info.R . on_attach.R . overall_comparison.R . plot.funnel_measure.R . plot.overall_comparison.R . plot.training_test_comparison.R . predict_surrogate.R . print.scikitlearn_set.R . training_test_comparison.R . yhat.R . Full DALEXtra package functions and examples
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