Probabilistic Gradient Boosting Machines
active 2023-08-16 → 2026-05-16 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1005 days from 2023-08-16 to 2026-05-16. Pushes: 10 total, peak 5 in a day. Pull requests: 4 total, peak 2 in a day. Issues: 10 total, peak 3 in a day. Comments: 17 total, peak 8 in a day. Stars: 31 total, peak 3 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 |
|---|---|---|---|---|
| elephaint | 33 | 10 | 4 | 12 |
| valeman | 4 | 0 | 0 | 3 |
| w1ll1a9m | 3 | 0 | 0 | 0 |
| YunBAI-PSL | 2 | 0 | 0 | 2 |
| Ruazzm | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#30elephaint2025-06-12 14:39python 3.12 support
- Issue#31w1ll1a9m2024-12-19 12:03Reproducibility bug/feature ?
- Issue#30w1ll1a9m2024-11-13 09:19python 3.12 support
- Issue#26elephaint2024-07-29 19:07Reliability for the probabilistic forecasting models
- Issue comment#29elephaint2024-07-29 19:04Large scale dataset training
- Issue#29Ruazzm2024-06-14 15:35Large scale dataset training
- Issue comment#26elephaint2024-04-08 19:55Reliability for the probabilistic forecasting models
- Issue comment#26valeman2024-04-06 08:26Reliability for the probabilistic forecasting models
- Issue comment#26elephaint2024-04-05 08:19Reliability for the probabilistic forecasting models
- Issue comment#26valeman2024-03-28 14:59Reliability for the probabilistic forecasting models
- Issue comment#26elephaint2024-03-28 13:48Reliability for the probabilistic forecasting models
- Issue comment#28elephaint2024-03-28 13:24Puzzling to see such methods - it is proven they don't work
- Issue#28elephaint2024-03-28 13:24Puzzling to see such methods - it is proven they don't work
- Issue comment#26valeman2024-03-28 13:06Reliability for the probabilistic forecasting models
- Issue#28valeman2024-03-28 13:05Puzzling to see such methods - it is proven they don't work
- Issue comment#18elephaint2024-02-08 16:40Exception when running on GPU
- Issue#18elephaint2024-02-08 16:40Exception when running on GPU
- Issue comment#25elephaint2024-02-08 16:37python 3.11 support
- Issue#25elephaint2024-02-08 16:37python 3.11 support
- Issue#25elephaint2024-02-08 16:32python 3.11 support
- Pull request#27elephaint2024-02-08 16:32
- Issue comment#26elephaint2024-02-08 16:22Reliability for the probabilistic forecasting models
- Pull request#27elephaint2024-02-08 16:17
- Issue comment#26YunBAI-PSL2024-02-08 16:06Reliability for the probabilistic forecasting models
- Issue comment#26elephaint2024-02-08 16:03Reliability for the probabilistic forecasting models
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 31 stars here means stars gained during the window, not the repo's star count.