Rreun models and save diagnostics
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 15/100
Research direction
The issue provides no files, tests, or implementation details to follow. Start by reading the repository README and locating how models are rerun and diagnostics are saved; clarify the expected models, diagnostic outputs, and completion criteria before making changes.
Written by the indexing model from the issue text.
Description
There are some failed runs but I hadn't previously set up model diagnostic savings, so to exclude these we'd have to do them by eye which isn't ideal. It's possible the models failed because of too small of warmup iterations so I have also increased these.
Plan will be to merge PRs which save diagnostics, score the wastewater forecasts, and add a epidemic phase characterisation that joins to the scores (using 28-day change of > or < 15% for now), test-run on a few dates/locations, and then set-up to rerun on the cluster.
- Dominant language
- R
- Stars
- 4
- Forks
- 1
- Avg merge
- 1d 3h
- Merged PRs (30d)
- 7
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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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