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 Ceteris Paribus / What-If Profiles (read more at https://pbiecek.github.io/PM_VEE/ceterisParibus.html),
calculate_oscillations()for calculation of the Ceteris Paribus Oscillations (read more at https://pbiecek.github.io/PM_VEE/ceterisParibusOscillations.html),
ceteris_paribus_2d()for Ceteris Paribus 2D Profiles (read more at https://pbiecek.github.io/PM_VEE/ceterisParibus2d.html),
partial_dependency()for Partial Dependency Plots,
conditional_dependency()for Conditional Dependency Plots also called M Plots,
accumulated_dependency()for Accumulated Local Effects Plots,
cluster_profiles()for aggregation of Ceteris Paribus Profiles,
theme_drwhy()with a ggplot2 skin for all plots,
plot()for better usability of selected explainers.
ingredients is a part of the DrWhy.AI universe.