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 + fileLICENSE |
| URL: | https://persimune.github.io/explainer/,https://github.com/PERSIMUNE/explainer |
| NeedsCompilation: | no |
| Citation: | explainer citation info |
| Materials: | README |
| CRAN checks: | explainer results |
Documentation:
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