scikit-learn-intelex
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FIX: incremental estimators tests
Description
fixes incremental estimators tests. Output array should be converted to numpy array before setting tol dependent on the dtype, otherwise the tol settings will not be set. Found on #1861
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.
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Testing
- [x] The unit tests pass successfully.
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Performance
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/intelci: run
/intelci: run
Rather than cast it to numpy for checking dtype, couldn't we just use the dtype test parameter? i.e.
tol = 2e-6 if dtype == np.float32 else 1e-7?
All asserts require numpy inputs, so make sense convert them to numpy ndarrays. np.float32 is no clear in case of array api inputs dtype check.
Rather than cast it to numpy for checking dtype, couldn't we just use the dtype test parameter? i.e.
tol = 2e-6 if dtype == np.float32 else 1e-7?
agree, this is exactly what I asked in my comments
/intelci: run
/intelci: run
Last CI run: http://intel-ci.intel.com/ef691edb-824e-f15b-993d-a4bf010d0e2e
@mergify backport rls/2024.7.0-rls
backport rls/2024.7.0-rls
✅ Backports have been created
- #2021 FIX: incremental estimators tests (backport #1998) has been created for branch
rls/2024.7.0-rls