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Local Interpretable (Model-Agnostic) Visual Explanations
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Maintained by
Mateusz Staniak
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First Published: 2018-04-03
Latest Update: 2020-01-15
Description:
Interpretability of complex machine learning models is a growing concern. This package helps to understand key factors that drive the decision made by complicated predictive model (so called black box model). This is achieved through local approximations that are either based on additive regression like model or CART like model that allows for higher interactions. The methodology is based on Tulio Ribeiro, Singh, Guestrin (2016) . More details can be found in Staniak, Biecek (2018) .
How to cite:
Mateusz Staniak (2018). live: Local Interpretable (Model-Agnostic) Visual Explanations. R package version 1.5.13, https://cran.r-project.org/web/packages/live. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:53), 1.4.2 (2018-04-03 21:59), 1.5.3 (2018-05-05 17:47), 1.5.4 (2018-05-14 00:06), 1.5.7 (2018-06-03 17:11), 1.5.8 (2018-09-24 21:00), 1.5.9 (2018-11-12 16:00), 1.5.10 (2019-02-28 14:00), 1.5.11 (2019-11-16 00:00), 1.5.12 (2019-12-18 03:10)
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