This GitHub repository contains a Flask web application that uses a trained Support Vector Machine (SVM) model to predict the type of glass based on its refractive index (RI), sodium oxide content (Na), aluminum oxide content (Al), and calcium oxide content (Ca) using a simple HTML form.
active 2023-10-01 → 2023-10-01 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-10-01 to 2023-10-01. Pushes: 4 total, peak 4 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 |
|---|---|---|---|---|
| R4GB0Y | 4 | 4 | 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.