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Website generator with HTML summaries for predictive models. This package uses 'DALEX' explainers to describe global model behavior. We can see how well models behave (tabs: Model Performance, Auditor), how much each variable contributes to predictions (tabs: Variable Response) and which variables are the most important for a given model (tabs: Variable Importance). We can also compare Concept Drift for pairs of models (tabs: Drifter). Additionally, data available on the website can be easily recreated in current R session. Work on this package was financially supported by the NCN Opus grant 2017/27/B/ST6/01307 at Warsaw University of Technology, Faculty of Mathematics and Information Science.
| Version: | 1.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | DALEX (≥ 1.0), auditor (≥ 0.3.0), ggplot2 (≥ 3.1.0), whisker (≥ 0.3-2), DT (≥ 0.4), kableExtra (≥ 0.9.0), psych (≥ 1.8.4), archivist (≥ 2.1.0), svglite (≥ 1.2.1), devtools (≥ 2.0.1), breakDown (≥ 0.1.6), drifter (≥ 0.2.1) |
| Suggests: | ranger, testthat, useful |
| Published: | 2020-04-15 |
| DOI: | 10.32614/CRAN.package.modelDown |
| Author: | Przemysław Biecek [aut], Magda Tatarynowicz [aut], Kamil Romaszko [aut, cre], Mateusz Urbański [aut] |
| Maintainer: | Kamil Romaszko <kamil.romaszko at gmail.com> |
| BugReports: | https://github.com/ModelOriented/modelDown/issues |
| License: | Apache License 2.0 |
| URL: | https://github.com/ModelOriented/modelDown |
| NeedsCompilation: | no |
| CRAN checks: | modelDown results |
| Reference manual: | modelDown.pdf |
| Package source: | modelDown_1.1.tar.gz |
| Windows binaries: | r-devel: modelDown_1.1.zip, r-release: modelDown_1.1.zip, r-oldrel: modelDown_1.1.zip |
| macOS binaries: | r-release (arm64): modelDown_1.1.tgz, r-oldrel (arm64): modelDown_1.1.tgz, r-release (x86_64): modelDown_1.1.tgz, r-oldrel (x86_64): modelDown_1.1.tgz |
| Old sources: | modelDown archive |
Please use the canonical form https://CRAN.R-project.org/package=modelDown 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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