CI Mark scikit-learn example as xfail due to upstream bug - #8523
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WalkthroughThe change adds a non-strict xfail entry for ChangesScikit-learn example xfail
Estimated code review effort: 1 (Trivial) | ~2 minutes Merge Risk: ⚪ Minimal · up to This localized change marks an intermittently failing upstream scikit-learn example as expected to fail; no actionable merge-blocking risk remains beyond normal checks. Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
Full details: Docstring CoverageExplanation No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check. Docstring coverage is scoped to functions touched by this diff. Analyzed 0 functions across 0 files. (1 skipped: 1 unsupported.) ✨ Finishing Touches🧪 Generate unit tests (beta)
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Inline comments:
In `@python/cuml/cuml_accel_tests/upstream/scikit-learn/xfail-examples.yaml`:
- Around line 4-7: Add a condition to the xfail entry for
callbacks::plot_scoring_monitor so it applies only when scikit-learn is version
1.9.0. Keep the existing reason and strict setting unchanged, and use the
supported package-version condition syntax rather than a Python interpreter
version condition.
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python/cuml/cuml_accel_tests/upstream/scikit-learn/xfail-examples.yaml
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csadorf
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Please consider limiting to sklearn 1.9.0 if that makes sense.
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Hopefully this will be fixed by the next release so we only need to match exactly 1.9.0 |
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/merge |
The scikit-learn example sometimes fails (about 80% of the time) with Python 3.14.7. That version of Python introduced a stricter check which catches what I think is a bug in the callback infrastructure of scikit-learn.
xref scikit-learn/scikit-learn#34816