shapper
Wrapper of Python Library 'shap'
Provides SHAP explanations of machine learning models. In applied machine learning, there is a strong belief that we need to strike a balance between interpretability and accuracy. However, in field of the Interpretable Machine Learning, there are more and more new ideas for explaining black-box models. One of the best known method for local explanations is SHapley Additive exPlanations (SHAP) introduced by Lundberg, S., et al., (2016) <doi:10.48550/arXiv.1705.07874> The SHAP method is used to calculate influences of variables on the particular observation. This method is based on Shapley values, a technique used in game theory. The R package 'shapper' is a port of the Python library 'shap'.
- Version0.1.3
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release08/28/2020
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Team
Szymon Maksymiuk
Michal Burdukiewicz
Show author detailsRolesContributorPrzemyslaw Biecek
Show author detailsRolesAuthorAlicja Gosiewska
Show author detailsRolesAuthorMateusz Staniak
Show author detailsRolesContributor
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- Imports3 packages
- Suggests7 packages