ingredients package is a collection of tools for assessment of feature importance and feature effects.
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.