Propagate feature names in transform/fit_transform/inverse_transform - #8542
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This supports setting `column_names` on the output of a reflected method. Valid options are `None` (the default), `"feature_names_in"` (to use `model.feature_names_in_`), or `"feature_names_out"` (to use `model.get_feature_names_out()`).
Also adds a generic test to ensure this behavior is configured properly.
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WalkthroughThe PR extends ChangesDataFrame metadata propagation
Estimated code review effort: 3 (Moderate) | ~25 minutes Merge Risk: 🔵 Low · up to The PR improves DataFrame feature-name propagation across transformers, but FunctionTransformer outputs may still lack the intended feature names if its base classes do not provide get_feature_names_out. This is a bounded correctness issue requiring explicit owner awareness or follow-up before relying on the new metadata contract. Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
Full details: Linked Issues checkExplanation The changes satisfy issues [ ✨ Finishing Touches🧪 Generate unit tests (beta)
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In `@python/cuml/cuml/_thirdparty/sklearn/preprocessing/_function_transformer.py`:
- Line 119: Implement a compatible get_feature_names_out method on
FunctionTransformer, using the transformer’s configured feature-name behavior
and input feature names to produce output names. Ensure pandas and cuDF outputs
handled by mlfunc receive these names instead of retaining numeric columns,
while preserving existing FunctionTransformer behavior.
In `@python/cuml/cuml/internals/outputs.py`:
- Around line 878-879: Update the feature_names_out branch in the output
handling logic to tolerate get_feature_names_out failures from valid child
transformers that only implement fit and transform. Add a capability fallback so
pandas and cuDF transformations continue with numeric column names, or gate
generated-name handling on all child transformers supporting feature names.
- Around line 757-761: Update the column_names docstring to document the
accepted values feature_names_in and feature_names_out, matching the
implementation, and close the missing literal around get_feature_names_out().
- Around line 874-876: In convert_arrays, restrict the column-name assignment
under the pandas/cuDF output branch to DataFrame results only, checking the
returned object before accessing or setting its columns. Leave sparse matrix
results unchanged so sparse PCA and ColumnTransformer conversions do not attempt
DataFrame-only attributes.
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python/cuml/cuml/_thirdparty/sklearn/preprocessing/_column_transformer.pypython/cuml/cuml/_thirdparty/sklearn/preprocessing/_data.pypython/cuml/cuml/_thirdparty/sklearn/preprocessing/_discretization.pypython/cuml/cuml/_thirdparty/sklearn/preprocessing/_function_transformer.pypython/cuml/cuml/_thirdparty/sklearn/preprocessing/_imputation.pypython/cuml/cuml/cluster/kmeans.pyxpython/cuml/cuml/decomposition/incremental_pca.pypython/cuml/cuml/decomposition/pca.pyxpython/cuml/cuml/decomposition/tsvd.pyxpython/cuml/cuml/internals/outputs.pypython/cuml/cuml/manifold/spectral_embedding.pyxpython/cuml/cuml/manifold/t_sne.pyxpython/cuml/cuml/manifold/umap/umap.pyxpython/cuml/cuml/preprocessing/_target_encoder.pypython/cuml/cuml/preprocessing/encoders.pypython/cuml/cuml/random_projection/random_projection.pypython/cuml/tests/test_reflection.pypython/cuml/tests/test_sklearn_compatibility.py
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This:
column_namesoption tomlfuncfor configuring how column names are attached to reflected outputs when outputting aDataFrame. This may be one of:None: uses the default numeric column names. This is the default behavior."feature_names_out": uses the output ofmodel.get_feature_names_out()as column names. This should be used for alltransform/fit_transformmethods."feature_names_in": usesfeature_names_in_as column names. This should be used for allinverse_transformmethods.column_namesandpreserve_indexconsistently across all transformers (excludingcuml.feature_extraction, which still needs [TRACKER] Cleanup python estimator implementations #7317 first).Fixes #5564.
Fixes #4036.
Fixes #8513.
Precursor for #5645.