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iBreakDown (version 2.1.2)

Model Agnostic Instance Level Variable Attributions

Description

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) , with new and faster strategies for orderings. It supports interactions in explanations and has interactive visuals (implemented with 'D3.js' library). The methodology behind is described in the 'iBreakDown' article (Gosiewska and Biecek 2019) This package is a part of the 'DrWhy.AI' universe (Biecek 2018) .

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Install

install.packages('iBreakDown')

Monthly Downloads

5,078

Version

2.1.2

License

GPL-3

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Maintainer

Przemyslaw Biecek

Last Published

December 1st, 2023

Functions in iBreakDown (2.1.2)

local_attributions

Model Agnostic Sequential Variable attributions
plot.break_down

Plot Generic for Break Down Objects
plotD3.shap

Plot Shap (Break Down Uncertainty) Objects in D3 with r2d3 package.
print.break_down

Print Generic for Break Down Objects
describe

Generates Textual Explanations for Predictive Models
break_down

Model Agnostic Sequential Variable Attributions
break_down_uncertainty

Explanation Level Uncertainty of Sequential Variable Attribution
print.break_down_description

Print Generic for Break Down Objects
local_interactions

Model Agnostic Sequential Variable Attributions with Interactions
print.break_down_uncertainty

Print Generic for Break Down Uncertainty Objects
plot.break_down_uncertainty

Plot Generic for Break Down Uncertainty Objects
plotD3

Plot Break Down Objects in D3 with r2d3 package.