Weights/thresholds do not persist
Maintainers usually reply within 1 day
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 42/100
Research direction
The issue names no files, so start by reproducing it: change a weight or threshold in the ML-PEG web app, close the tab, reopen it, and confirm the value resets. Then find where those selections are held (in-memory, browser storage, or a server-side session) and check whether they are ever written out. Done means the selections survive a tab close and reopen, with a test or a documented manual check.
Written by the indexing model from the issue text.
Description
Summary
When you close a tab and reopen ML-PEG, your previously selected weights/thresholds seem to be reset.
Platform
Ubunut
Python version
No response
- Dominant language
- Python
- Stars
- 69
- Forks
- 68
- Avg merge
- 3d 12h
- Merged PRs (30d)
- 21
Getting set up
- No Dockerfile or Docker Compose file
- Has a pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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