Support categorical features from polars.#11565
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rongou
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Jul 16, 2025
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Pull Request Overview
This PR adds support for categorical features from Polars DataFrames in XGBoost. Previously, when using Polars categorical data with XGBoost, a NotImplementedError was raised. Now categorical features are properly handled when enable_categorical=True is set.
Key changes:
- Implement categorical feature handling for Arrow/Polars data structures
- Add validation requiring
enable_categorical=Truefor categorical data - Refactor Arrow array interface code for better modularity
Reviewed Changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
| tests/python/test_with_polars.py | Updates test to verify categorical feature support with Polars Categorical and Enum types |
| src/data/adapter.h | Adds type validation for offset arrays in categorical data processing |
| python-package/xgboost/data.py | Implements categorical support for Arrow tables and refactors array interface handling |
| python-package/xgboost/_data_utils.py | Moves and enhances Arrow utility functions with categorical data support |
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Close #10554
Related: #11088
CPU-only at the moment.