flashlight (0.5.0)

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Shed Light on Black Box Machine Learning Models.


Shed light on black box machine learning models by the help of model performance, permutation variable importance (Fisher et al. (2018) ), ICE profiles, partial dependence (Friedman J. H. (2001) ), accumulated local effects (Apley D. W. (2016) ), further effects plots, interaction strength, and variable contribution breakdown (approximate SHAP) for single observations (Gosiewska and Biecek (2019) ). All tools are implemented to work with case weights and allow for stratified analysis. Furthermore, multiple flashlights can be combined and analyzed together.

Maintainer: Michael Mayer
Author(s): Michael Mayer [aut, cre, cph]

License: GPL (>= 2)

Uses: dplyr, ggplot2, ggpubr, MetricsWeighted, rlang, tidyr, caret, lubridate, knitr, xgboost, ranger, moderndive

Released about 20 hours ago.

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