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ingredients (version 0.3.1)
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) .