Package: iBreakDown 2.1.2

Przemyslaw Biecek

iBreakDown: Model Agnostic Instance Level Variable Attributions

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) <doi:10.32614/RJ-2018-072>, 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) <arxiv:1903.11420> This package is a part of the 'DrWhy.AI' universe (Biecek 2018) <arxiv:1806.08915>.

Authors:Przemyslaw Biecek [aut, cre], Alicja Gosiewska [aut], Hubert Baniecki [aut], Adam Izdebski [aut], Dariusz Komosinski [ctb]

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iBreakDown.pdf |iBreakDown.html✨
iBreakDown/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/modeloriented/ibreakdown/issues

On CRAN:

breakdownimlinterpretabilityshapleyxai

7 exports 79 stars 4.90 score 28 dependencies 21 dependents 1 mentions 37 scripts 3.9k downloads

Last updated 10 months agofrom:d4f6289f9d. Checks:OK: 7. Indexed: yes.

Exports:break_downbreak_down_uncertaintydescribelocal_attributionslocal_interactionsplotD3shap

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr