r-ingredients 2.2.0 Effects and importances of model ingredients

This is a 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_dependence() for partial dependence plots,

  • conditional_dependence() for conditional dependence plots,

  • accumulated_dependence() for accumulated local effects plots,

  • aggregate_profiles() and cluster_profiles() for aggregation of ceteris paribus profiles,

  • generic print() and plot() for better usability of selected explainers,

  • generic plotD3() for interactive, D3 based explanations, and

  • generic describe() for explanations in natural language.