In this project the ablity of using six applied machine learning (ML) models including Decision Tree (DT), Random Forest (RF), Multilayer Perceptron Neural Network (MLP-NN), Adaptive Boosting (AdaBoost), Logistic Regression (LR), and Support Vector Machines (SVM) in flood inventory.
active 2024-06-21 → 2024-06-24 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 4 days from 2024-06-21 to 2024-06-24. Pushes: 1 total, peak 1 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 |
|---|---|---|---|---|
| hydropython | 1 | 1 | 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.