Model agnostic tool for decomposition of predictions from black boxes.
Supports additive attributions and attributions with interactions.
The Break Down Table shows contributions of every variable to a final prediction.
The Break Down Plot presents variable contributions in a concise graphical way.
This package works for classification and regression models.
It is an extension of the 'breakDown' package (Staniak and Biecek 2018)
local_attributions_uncertainty() now supports path = "average" argument and plots shapley values (#29).local_attributions_uncertainty() is renamed to break_down_uncertainty().shap() is an alias for break_down_uncertainty().iBreakDown is described on arXiv and linked in the CITATIONlocal_attributions_uncertainty() function that measures uncertanity behind additive attributionsbreakDown2 has changed name to iBreakDownlocal_attributions() function user can force order in which variables shall be presentedplotD3() function, that uses r2d3 package to generate interactive D3 plotsiBreakDown is forked from breakDown version 0.2.0