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ColumnRemapper: inspect and remap ColumnTransformer column references using fully path-qualified slash-separated keys (e.g. "preprocessor/num"). Validates keys against list_column_refs; strict=True requires full coverage. ParamRemapper: remap arbitrary sklearn params using __ convention (e.g. "classifier__C", "preprocessor__num__imputer__strategy"). Supports whole-step replacement via exact name match. Validates keys against pipeline.get_params(deep=True); strict=True requires full coverage. Both classes are @attr.frozen with @property/@cache derived views. Reconstruction is immutable throughout — no setattr, no clone-then-mutate. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Both methods apply the corresponding remapper to Pipeline.instance and return a new Pipeline.from_instance(remapped). Imports are local to avoid circular dependencies. strict= is forwarded to remap(). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Covers: basic remapping, immutability of original, return type, unknown key errors, strict mode, nested params, and whole-step replacement. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
sklearn_utils imports sklearn at module level, so importing ColumnRemapper
before pytest.importorskip("sklearn") caused an unconditional sklearn import
at collection time, breaking test collection when sklearn is not installed.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
ghoersti
approved these changes
Mar 11, 2026
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