ingredients (0.3.3)

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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 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) .

Maintainer: Przemyslaw Biecek
Author(s): Przemyslaw Biecek [aut, cre] (<>), Hubert Baniecki [ctb]

License: GPL

Uses: DALEX, ggplot2, scales, gbm, randomForest, testthat, jsonlite, dplyr, xgboost, titanic, ggpubr, gower, r2d3
Reverse suggests: DALEX

Released 4 months ago.

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