shap hurutta · COMPLETED
A game theoretic approach to explain the output of any machine learning model.
github.com/hurutta/shap · ★ 1 · Forks 0 · Size 221.8 MB
SUMMARY
Technologies 21
Scored 21
Observed 21
Practices 6
Evidence 23
Skips 0
COVERAGE
Analyzed 451 files · 2009 commits · 0 API calls
TECHNOLOGIES & DEPTH
PowerShell LANGUAGE Depth 70
1 files · PRODUCTION
C++ LANGUAGE Depth 70
4 files · PRODUCTION
JavaScript LANGUAGE Depth 70
22 files · PRODUCTION
JSON LANGUAGE Depth 70
3 files · PRODUCTION
Markdown LANGUAGE Depth 70
4 files · PRODUCTION
TOML LANGUAGE Depth 70
1 files · PRODUCTION
YAML LANGUAGE Depth 70
4 files · PRODUCTION
Python LANGUAGE Depth 70
132 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
npm BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
ESLint QUALITY Depth 65
1 files · CONFIGURATION
Lodash LIBRARY Depth 70
4 files · PRODUCTION
NumPy LIBRARY Depth 78
98 files · PRODUCTION, TEST
RabbitMQ MESSAGE_BROKER Depth 81
7 files · CONFIGURATION
React FRAMEWORK Depth 70
4 files · PRODUCTION
Redis CACHE Depth 69
2 files · CONFIGURATION
Requests LIBRARY Depth 58
1 files · PRODUCTION
TypeScript LANGUAGE Depth 74
8 files · PRODUCTION
pandas LIBRARY Depth 78
18 files · PRODUCTION, TEST
pytest TESTING Depth 74
21 files · PRODUCTION, TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2016-11-22
Last commit 2021-08-24
Active months 55
Commits 2009