Optimization framework for feature selection in Python source code quality assessment. Using nature-inspired algorithm Artificial Bee Colony (ABC) and meta-analysis, it efficiently reduces dimensionality while preserving important relationships. The project applies optimization techniques to select minimal yet effective sets of code metrics.
active 2024-11-26 → 2025-01-13 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 49 days from 2024-11-26 to 2025-01-13. Pushes: 15 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Daru1914 | 11 | 11 | 0 | 0 |
| mari1647iv | 4 | 4 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.