ingredients
Effects and Importances of Model Ingredients
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)
- https://ModelOriented.github.io/ingredients/
- GitHub
- File a bug report
- ingredients results
- ingredients.pdf
- Version2.3.0
- R version≥ 3.5
- LicenseGPL-3
- Needs compilation?No
- Last release01/15/2023
Documentation
Team
Przemyslaw Biecek
Hubert Baniecki
Adam Izdebski
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- Depends1 package
- Imports4 packages
- Suggests9 packages
- Reverse Imports7 packages
- Reverse Suggests3 packages