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Priority: HIGHHigh priority issueHigh priority issuedocumentationImprovements or additions to documentationImprovements or additions to documentationenhancementNew feature or requestNew feature or request
Description
Need some work to meet sklearn contrib conventions.
Each bullet point will be addressed in a specific issue, not necessarily in this order :
- change project's name from radius-clustering to sklearn-contrib-radius-clustering on PyPI
- add some issue and PR templates
- Review default values of all estimators to meet requirements and justify them
- Add lint and format in GitHub workflows
- Check if pyproject.toml is valid and still correct
- think about using meson for building extensions (maybe some help will be required here)
- Add Code of Conduct and Contributing guidelines
- Rework wheel build workflows, from actual to "dispatch" and "on tag" or similar, to only build and push new versions pushed on main branch
- Rework Readme
- watch for opening an example in binder
- Add badges for coverage, build status and maybe a DOI from zenodo or software heritage in actual version
- New examples, reworked benchmarks, review dependencies
@adrinjalali, I think I covered the most issues to address, can you please tell me if I am missing something ?
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Priority: HIGHHigh priority issueHigh priority issuedocumentationImprovements or additions to documentationImprovements or additions to documentationenhancementNew feature or requestNew feature or request