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,
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.

Interactive plot in D3

feature_importance() and ceteris_paribus() also work with D3! see an example

Install from GitHub

devtools::install_github("ModelOriented/ingredients")