⚠️There's a newer version (2.3.0) of this package.Take me there.
ingredients (version 0.3.3)
Effects and Importances of Model Ingredients
Description
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_dependency() for partial dependency plots,
conditional_dependency() for conditional dependency plots,
accumulated_dependency() for accumulated local effects plots,
aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles,
theme_drwhy() with a 'ggplot2' skin for all plots,
generic print() and plot() for better usability of selected explainers.
The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018) .