Shed light on black box machine learning models by the help of model performance, variable importance, global surrogate models, ICE profiles, partial dependence (Friedman J. H. (2001) <doi:10.1214/aos/1013203451>), accumulated local effects (Apley D. W. (2016) <doi:10.48550/arXiv.1612.08468>), further effects plots, interaction strength, and variable contribution breakdown (Gosiewska and Biecek (2019) <doi:10.48550/arXiv.1903.11420>). All tools are implemented to work with case weights and allow for stratified analysis. Furthermore, multiple flashlights can be combined and analyzed together.
Version: 0.9.0 Depends: R (≥ 3.2.0) Imports: cowplot, dplyr (≥ 1.1.0), ggplot2, MetricsWeighted (≥ 0.3.0), rlang (≥ 0.3.0), rpart, rpart.plot, stats, tibble, tidyr (≥ 1.0.0), tidyselect, utils, withr Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2023-05-10 DOI: 10.32614/CRAN.package.flashlight Author: Michael Mayer [aut, cre, cph] Maintainer: Michael Mayer <mayermichael79 at gmail.com> BugReports: https://github.com/mayer79/flashlight/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/mayer79/flashlight NeedsCompilation: no Materials: README NEWS CRAN checks: flashlight results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=flashlight to link to this page.
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