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:
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