This repository contains implementations of various interpretable machine learning algorithms using the iModels library. Each notebook demonstrates the application of a different algorithm on a specific dataset, with a focus on model interpretability.
active 2024-09-26 → 2024-09-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-09-26 to 2024-09-26. Pushes: 6 total, peak 6 in a day. Pull requests: 8 total, peak 8 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 |
|---|---|---|---|---|
| ritu1412 | 14 | 6 | 8 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#4ritu14122024-09-26 07:26
- Pull request#4ritu14122024-09-26 07:26
- Pull request#3ritu14122024-09-26 07:19
- Pull request#3ritu14122024-09-26 07:19
- Pull request#2ritu14122024-09-26 07:16
- Pull request#2ritu14122024-09-26 07:16
- Pull request#1ritu14122024-09-26 07:04
- Pull request#1ritu14122024-09-26 07:04
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.