Expand get_feature_names_out support - #8500
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WalkthroughThe pull request adds scikit-learn feature-name mixins and output-feature metadata to cuML estimators. It implements ChangesFeature-name compatibility
Estimated code review effort: 3 (Moderate) | ~25 minutes Merge Risk: 🟡 Moderate · up to The PR broadens sklearn-compatible feature-name APIs across estimators, but the current head still omits OrdinalEncoder from compatibility coverage and contains changed Python that does not meet the repository’s Black formatting requirement; the coverage gap leaves that estimator’s contract unvalidated and formatting may fail required checks, so merge should wait for fixes or explicit acceptance. Suggested reviewers: 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
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In `@python/cuml/tests/test_preprocessing.py`:
- Around line 1314-1318: Update the reference model assignment in the test to
use skKernelCenterer().fit(X_pairwise) instead of creating a second
cuKernelCenterer, while leaving the cuML model and feature-name comparison
unchanged.
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python/cuml/cuml/_thirdparty/sklearn/preprocessing/_data.pypython/cuml/cuml/_thirdparty/sklearn/preprocessing/_discretization.pypython/cuml/cuml/cluster/kmeans.pyxpython/cuml/cuml/decomposition/pca.pyxpython/cuml/cuml/decomposition/tsvd.pyxpython/cuml/cuml/manifold/umap/umap.pyxpython/cuml/cuml/random_projection/random_projection.pypython/cuml/tests/test_incremental_pca.pypython/cuml/tests/test_kmeans.pypython/cuml/tests/test_pca.pypython/cuml/tests/test_preprocessing.pypython/cuml/tests/test_random_projection.pypython/cuml/tests/test_sklearn_compatibility.pypython/cuml/tests/test_tsvd.pypython/cuml/tests/test_umap.py
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viclafargue
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Aug 21, 2026
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Thanks, LGTM! Just two minor issues.
The output of `UMAP.get_feature_names_out` was changed in a recent version. Hardcode the expected result instead of comparing with upstream.
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Inline comments:
In `@python/cuml/cuml/_thirdparty/sklearn/preprocessing/_discretization.py`:
- Around line 248-249: Run Black on the keyword arguments in the affected
preprocessing call, updating the single-quoted string literals to Black’s
double-quoted style while preserving the existing values and behavior.
In `@python/cuml/tests/test_sklearn_compatibility.py`:
- Around line 329-350: Add OrdinalEncoder() to the
GET_FEATURE_NAMES_OUT_ESTIMATORS list so the get_feature_names_out compatibility
coverage includes this estimator alongside the existing feature-name checks.
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This:
test_sklearn_compatibilityto run the upstreamget_feature_names_outestimator check tests on all of our estimators that implementget_feature_names_out. These are not included in the default existing estimator checks and have to be run manually.get_feature_names_outto almost all of our transformers. The only remaining transformers are:SimpleImputerMissingIndicatorFunctionTransformerTargetEncoderIn most cases this is as simple as adding a mixin class. In a few cases a custom
get_feature_names_outis needed. The above classes are excluded from this PR mostly due to those needing custom implementations and this PR being large enough.Part of #8499.