Take two data points of character fates and outcomes. Predict a possible outcome for this specific section of the plot. Use prediction to create a symbolic representation in prolog. Classify outcome based on its likelihood. Print symbolic representation of of data and likelihood to an RSS spreadsheet. Use future output to further train the system.
active 2023-11-21 → 2023-11-21 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2023-11-21 to 2023-11-21. Pushes: 22 total, peak 22 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 |
|---|---|---|---|---|
| LWFlouisa | 22 | 22 | 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.