fit_method='SNR' and fit_method='doublegauss' can give NaN uncertainties
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 28/100
Research direction
Start by reproducing the NaN uncertainties for fit_method='SNR' and fit_method='doublegauss', then inspect the scipy.optimize.minimize path involved in those fits. Trace where uncertainty values are computed and define completion as both methods producing finite uncertainties in the affected cases, with regression coverage if the project has an applicable test location.
Written by the indexing model from the issue text.
Description
Something in scipy.optimize.minimize?
- Dominant language
- Python
- Stars
- 23
- Forks
- 10
- Avg merge
- 28m
- Merged PRs (30d)
- 1
Getting set up
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- 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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