flashlight: Shed Light on Black Box Machine Learning Models

Shed light on black box machine learning models by the help of model performance, variable importance, ICE profiles, partial dependence (Friedman J. H. (2001) <doi:10.1214/aos/1013203451>), accumulated local effects (Apley D. W. (2016) <arXiv:1612.08468>), further effects plots, scatter plots, interaction strength, and variable contribution breakdown (approximate SHAP) for single observations (Gosiewska and Biecek (2019) <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: 0.6.0
Depends: R (≥ 3.5.0)
Imports: stats, utils, dplyr, tidyr, rlang, ggplot2, ggpubr, MetricsWeighted (≥ 0.3.0)
Suggests: knitr, lubridate, ranger, xgboost, caret, moderndive
Published: 2020-01-19
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

Downloads:

Reference manual: flashlight.pdf
Vignettes: flashlight
Package source: flashlight_0.6.0.tar.gz
Windows binaries: r-devel: flashlight_0.6.0.zip, r-devel-gcc8: flashlight_0.5.0.zip, r-release: flashlight_0.6.0.zip, r-oldrel: flashlight_0.6.0.zip
OS X binaries: r-release: flashlight_0.6.0.tgz, r-oldrel: flashlight_0.6.0.tgz
Old sources: flashlight archive

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