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) <arXiv:1806.08915> explainer for many type of models including those created using 'python' 'scikit-learn' and 'keras' libraries.
Version: | 0.1.8 |
Depends: | R (≥ 3.5.0), DALEX (≥ 0.4.7) |
Imports: | reticulate, ggplot2 |
Suggests: | auditor, gbm, ggrepel, h2o, mljar, mlr, randomForest, rmarkdown, testthat |
Published: | 2019-09-23 |
Author: | Szymon Maksymiuk [aut, cre],
Przemyslaw Biecek |
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 |
Materials: | NEWS |
CRAN checks: | DALEXtra results |
Reference manual: | DALEXtra.pdf |
Package source: | DALEXtra_0.1.8.tar.gz |
Windows binaries: | r-devel: DALEXtra_0.1.8.zip, r-release: DALEXtra_0.1.8.zip, r-oldrel: DALEXtra_0.1.8.zip |
OS X binaries: | r-release: DALEXtra_0.1.8.tgz, r-oldrel: DALEXtra_0.1.8.tgz |
Old sources: | DALEXtra archive |
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