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Efficient implementation of Kernel SHAP, see Lundberg and Lee (2017), and Covert and Lee (2021) <http://proceedings.mlr.press/v130/covert21a>. Furthermore, for up to 14 features, exact permutation SHAP values can be calculated. The package plays well together with meta-learning packages like 'tidymodels', 'caret' or 'mlr3'. Visualizations can be done using the R package 'shapviz'.
Package details |
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Author | Michael Mayer [aut, cre] (<https://orcid.org/0009-0007-2540-9629>), David Watson [aut] (<https://orcid.org/0000-0001-9632-2159>), Przemyslaw Biecek [ctb] (<https://orcid.org/0000-0001-8423-1823>) |
Maintainer | Michael Mayer <mayermichael79@gmail.com> |
License | GPL (>= 2) |
Version | 0.7.0 |
URL | https://github.com/ModelOriented/kernelshap |
Package repository | View on CRAN |
Installation |
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