Collection of tools for assessment of feature importance and feature effects. Key functions are: feature_importance() for assessment of global level feature importance, ceteris_paribus() for calculation of the what-if plots, partial_dependence() for partial dependence plots, conditional_dependence() for conditional dependence plots, accumulated_dependence() for accumulated local effects plots, aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles, generic print() and plot() for better usability of selected explainers, generic plotD3() for interactive, D3 based explanations, and generic describe() for explanations in natural language. The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Version: | 2.2.0 |
Depends: | R (≥ 3.5) |
Imports: | ggplot2, scales, gridExtra, methods |
Suggests: | DALEX, gower, ranger, testthat, r2d3, jsonlite, knitr, rmarkdown, covr |
Published: | 2021-04-10 |
Author: | Przemyslaw Biecek |
Maintainer: | Przemyslaw Biecek <przemyslaw.biecek at gmail.com> |
BugReports: | https://github.com/ModelOriented/ingredients/issues |
License: | GPL-3 |
URL: | https://ModelOriented.github.io/ingredients/, https://github.com/ModelOriented/ingredients |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | ingredients results |
Reference manual: | ingredients.pdf |
Vignettes: |
Explanations in natural language Simulated data, real problem General introduction: Survival on the RMS Titanic |
Package source: | ingredients_2.2.0.tar.gz |
Windows binaries: | r-devel: ingredients_2.2.0.zip, r-release: ingredients_2.2.0.zip, r-oldrel: ingredients_2.2.0.zip |
macOS binaries: | r-release (arm64): ingredients_2.2.0.tgz, r-oldrel (arm64): ingredients_2.2.0.tgz, r-release (x86_64): ingredients_2.2.0.tgz, r-oldrel (x86_64): ingredients_2.2.0.tgz |
Old sources: | ingredients archive |
Reverse imports: | arenar, corrgrapher, DALEX, drifter, localModel, modelStudio, rSAFE, survex |
Reverse suggests: | DALEXtra, vivo |
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