[WIP] Allowing the array api to work with covariance OAS#33600
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bruAristimunha wants to merge 27 commits into
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[WIP] Allowing the array api to work with covariance OAS#33600bruAristimunha wants to merge 27 commits into
bruAristimunha wants to merge 27 commits into
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The tests were written as part of a TDD approach during development, they cover things that the common tests also cover. So removing them to reduce the amount of duplication.
In some cases it returns flaot64 for float32 input. There are users who rely on this behaviour.
bruAristimunha
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Just to let you know, I created the draft PR @betatim, @agramfort, @qbarthelemy. If there's anything I can help with or assist with, please let me know, and thank you again for your attention to this matter 🙏 |
If we flag it as supporting array API all the classes that inherit from it also get marked as supporting array API. This doesn't work, so we need to do this at the end when all estimators support array API.
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Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
This avoids shifting X and let's us share the implementation with PCA.
Co-authored-by: Quentin Barthélemy <q.barthelemy@gmail.com>
Convert _oas() and OAS.fit() to use array API compatible operations, following the same pattern as LedoitWolf from PR scikit-learn#33573.
Vendor array_api_extra from bruAristimunha/array-api-extra#690 which renames the cov() kwarg from 'bias' to 'correction'. Rename the changelog entry to 33600 (Bru's PR number) and update its content to mention only OAS (since EmpiricalCovariance support was reverted in Tim's branch).
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This was referenced Apr 20, 2026
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qbarthelemy
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Jun 24, 2026
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Reference Issues/PRs
Towards #33584, the sub-issue about
OASandoas.What does this implement/fix? Explain your changes.
Basically, allow the methods Covariance OAS and oas to work with the api array contract.
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It is built on top of #33573, so it is necessary to merge #33573 first.