ingredients package is a collection of tools for assessment of feature importance and feature effects. It is imported and used to compute model explanations in multiple packages e.g.
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/ema/ceterisParibus.html),
partial_dependence()for Partial Dependence Plots,
conditional_dependence()for Conditional Dependence Plots also called M Plots,
accumulated_dependence()for Accumulated Local Effects Plots,
cluster_profiles()for aggregation of Ceteris Paribus Profiles,
calculate_oscillations()for calculation of the Ceteris Paribus Oscillations (read more at https://pbiecek.github.io/ema/ceterisParibusOscillations.html),
ceteris_paribus_2d()for Ceteris Paribus 2D Profiles (read more at https://pbiecek.github.io/ema/ceterisParibus2d.html),
plot()for better usability of selected explainers,
plotD3()for interactive, D3 based explanations,
describe()for explanations in natural language.
The philosophy behind
ingredients explanations is described in the Explanatory Model Analysis: Explore, Explain and Examine Predictive Models e-book. The
ingredients package is a part of DrWhy.AI universe.
# the easiest way to get ingredients is to install it from CRAN: install.packages("ingredients") # Or the the development version from GitHub: # install.packages("devtools") devtools::install_github("ModelOriented/ingredients")