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explainer: Machine Learning Model Explainer
It enables detailed interpretation of complex classification and regression models through Shapley analysis including data-driven characterization of subgroups of individuals. Furthermore, it facilitates multi-measure model evaluation, model fairness, and decision curve analysis. Additionally, it offers enhanced visualizations with interactive elements.
| Version: |
1.0.2 |
| Imports: |
cvms, data.table, dplyr, egg, ggplot2, ggpmisc, ggpubr, magrittr, plotly, tibble, tidyr, writexl, gridExtra, scales |
| Suggests: |
cowplot, mlr3, mlr3learners, knitr, broom, iml, forcats, mlr3viz, plotROC, psych, reshape2, remotes, mlbench, ranger, precrec, rmarkdown |
| Published: |
2024-09-30 |
| DOI: |
10.32614/CRAN.package.explainer |
| Author: |
Ramtin Zargari Marandi
 [aut, cre] |
| Maintainer: |
Ramtin Zargari Marandi <ramtin.zargari.marandi at regionh.dk> |
| BugReports: |
https://github.com/PERSIMUNE/explainer/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://persimune.github.io/explainer/,
https://github.com/PERSIMUNE/explainer |
| NeedsCompilation: |
no |
| Citation: |
explainer citation info |
| Materials: |
README |
| CRAN checks: |
explainer results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=explainer
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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