scikit-learn-intelex
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ENH: SPMD interface for IncrementalPCA
Description
- Added SPMD interface for IncrementalEmpiricalCovariance
- Changed policy saving workflow, now queue is saved to attributes instead of policy. It is necessary because
finalize_fit
requiresspmd_policy
, butpartial_fit
requiresdata_parallel_policy
on oneDAL side -
finalize_fit
now uses provided queue for computations on onedal4py side. - Contains some content from https://github.com/intel/scikit-learn-intelex/pull/1777 for test implementation
Checklist to comply with before moving PR from draft:
PR completeness and readability
- [x] I have reviewed my changes thoroughly before submitting this pull request.
- [x] I have commented my code, particularly in hard-to-understand areas.
- [ ] I have updated the documentation to reflect the changes or created a separate PR with update and provided its number in the description, if necessary.
- [x] Git commit message contains an appropriate signed-off-by string (see CONTRIBUTING.md for details).
- [x] I have added a respective label(s) to PR if I have a permission for that.
- [x] I have resolved any merge conflicts that might occur with the base branch.
Testing
- [x] The unit tests pass successfully.
- [x] I have run it locally and tested the changes extensively.
Performance
- [ ] I have measured performance for affected algorithms using scikit-learn_bench and provided at least summary table with measured data, if performance change is expected.
- [ ] I have provided justification why performance has changed or why changes are not expected.