PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
active 2024-01-19 → 2026-03-27 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 799 days from 2024-01-19 to 2026-03-27. Pushes: 52 total, peak 9 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 9 total, peak 2 in a day. Comments: 9 total, peak 6 in a day. Stars: 185 total, peak 32 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ajzhanghk | 33 | 33 | 0 | 0 |
| ZebinYang | 18 | 14 | 0 | 4 |
| srbPhy | 7 | 0 | 0 | 4 |
| asudjianto-xml | 5 | 5 | 0 | 0 |
| Mavrepis | 1 | 0 | 0 | 0 |
| sauvikd | 1 | 0 | 0 | 0 |
| dudukels | 1 | 0 | 0 | 0 |
| navdeep-G | 1 | 0 | 0 | 0 |
| benhorvath | 1 | 0 | 0 | 1 |
| munchcrunch | 1 | 0 | 0 | 0 |
| JobstHanna | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue#61JobstHanna2025-02-09 17:46Gaminet Monotony for features indices does not work
- Issue#60dudukels2025-02-09 02:32Cannot Install piML on Python 3.11.1
- Issue#59navdeep-G2024-12-27 16:39Request to Add PiML to Conda
- Issue comment#56ZebinYang2024-06-26 03:31Getting the error: AttributeError: function 'GetOutputTypeStr' not found
- Issue#56sauvikd2024-06-24 01:49Getting the error: AttributeError: function 'GetOutputTypeStr' not found
- Issue#55Mavrepis2024-06-23 17:43[Request] Run PiML outside of notebooks.
- Issue comment#54ZebinYang2024-06-17 02:59Unable to plot feature importance plot for the binary classification target varaible seperately
- Issue#54munchcrunch2024-06-07 02:20Unable to plot feature importance plot for the binary classification target varaible seperately
- Issue comment#52ZebinYang2024-05-08 07:02predict after get_model()
- Issue comment#52srbPhy2024-05-08 04:47predict after get_model()
- Issue comment#52ZebinYang2024-05-08 03:07predict after get_model()
- Issue comment#52srbPhy2024-05-08 01:52predict after get_model()
- Issue comment#52srbPhy2024-05-08 01:36predict after get_model()
- Issue#52srbPhy2024-05-08 01:36predict after get_model()
- Issue comment#51srbPhy2024-05-08 01:28XGB2Regressor vs XGBRegressor
- Issue#51srbPhy2024-05-08 01:27XGB2Regressor vs XGBRegressor
- Issue comment#44benhorvath2024-05-02 02:23Python 3.11
- Issue#51srbPhy2024-04-27 14:55XGB2Regressor vs XGBRegressor
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 185 stars here means stars gained during the window, not the repo's star count.