benedekrozemberczki / shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
Why this job: works in the areas we cover, but does not say which job it does
What it does
The library consists of various methods to compute (approximate) the Shapley value of players (models) in weighted voting games (ensemble games) - a class of transferable utility cooperative games. We covered the exact enumeration based computation and various widely know approximation methods from economics and computer science research papers. There are also functionalities to identify the heterogeneity of the player pool based on the Shapley entropy. In addition, the framework comes with a detailed documentation, an intuitive tutorial, 100% test coverage, and illustrative toy examples.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 10 months ago
- Stars
- 228
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest tag
- v_10003
- Released 4 years ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 67% closed
- 1 still open
- Pull requests
- 2 merged
- 0 waiting
- Releases
- 4
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Python 100%
Topics
- shapley
- shapley-value
- owen
- voting-classifier
- machine-learning
- classifier
- random-forest
- random-forest-classifier
- explainable-ml
- explainable-ai
- ensemble
- ensemble-learning
Project record
- JobOther AI tools
- StatusListed
- Commits358
- Forks34
- Watching4
- Stars in 28 days0
- CreatedJan 30, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026