The code is meant to explore and compare the effectiveness of different machine learning models in predicting important process variables in blast furnace operations. The use of time-shifted data helps in understanding how well these models can predict future states of the system based on historical data.
active 2024-08-15 → 2024-08-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-08-15 to 2024-08-15. Pushes: 9 total, peak 9 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 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 |
|---|---|---|---|---|
| KeerthisreeJ | 11 | 9 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.