scikit-learn-intelex
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FEAT(forest): hyperparameter support for RF clf inference
Description
Add hyperparameters to Random Forest classification inference, corresponding oneDAL changes in https://github.com/oneapi-src/oneDAL/pull/2638
- Add hyperparameters to
forest.py
&forest.cpp
where supported by oneDAL - Add tests that set a range of possible values and run inference
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.
- [x] 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] I have run it locally and tested the changes extensively.
- [ ] All CI jobs are green or I have provided justification why they aren't.
- [x] I have extended testing suite if new functionality was introduced in this PR.
Performance
does not apply
/intelci: run
CI with oneDAL updates http://intel-ci.intel.com/eed70e1a-9c78-f185-8d8e-a4bf010d0e2e
/intelci: run
/intelci: run
Updated run with changes from 2638 http://intel-ci.intel.com/eee0cbf3-f8dd-f171-9c4f-a4bf010d0e2e
Benchmarks: http://intel-ci.intel.com/eee0cf89-b051-f1ed-a729-a4bf010d0e2e
/intelci: run
Updated job with oneDAL + scikit-learn-intelex changes http://intel-ci.intel.com/eee23804-7d24-f117-86db-a4bf010d0e2e
Is "hyperparameters" just another name for performance tuning parameters?
@Vika-F are we able to finalize this one?
@Vika-F @ethanglaser @icfaust @avolkov-intel Who is expected to be next assigned to this job done?