shapper
0.1.3Wrapper of Python Library 'shap'
Overview
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) 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'.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-06-0911 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-06-0811 OK · 1 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-109 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation signals are not tracked yet for this package.
Downloads
Repository
Repository practices
4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/modeloriented/shapper on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
4 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1.3Latest
- RR 4.0.0 released · 2020-04-24
- 0.1.22019-08-02 · diff ↗
- 0.1.12019-07-10 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.1.02019-03-02
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2019-03-02
- Total releases
- 4 / 7 yrs
- License
- GPL
- Download size
- 39 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet