Rust-native CatBoost — scikit-learn-compatible and CatBoost-native Python bindings
Project description
catboost-rs (Python bindings)
PyO3 bindings exposing the Rust-native catboost-rs gradient-boosting library as
the catboost_rs Python module — both scikit-learn-compatible and CatBoost-native.
Phase 8 / plan 08-01 stands up the thinnest end-to-end vertical slice:
CatBoostRegressor().fit(X, y).predict(X)over a float32 contiguous NumPy array, wired through the real facade. Param validation, multi-source ingestion, the classifier / ranker, the error taxonomy, and packaging land in later plans.
Backends
- Default wheel: cpu (abi3-py312, covers CPython 3.12/3.13/3.14 GIL builds).
- ROCm GPU: separate distribution
catboost-rs-rocm, pulled via the[rocm]extra. Both wheels expose thecatboost_rsimport name and must not be installed simultaneously.
Development
python3 -m venv .venv-py8
.venv-py8/bin/pip install "maturin>=1.9.4,<2.0" scikit-learn numpy pandas pyarrow polars
.venv-py8/bin/maturin develop --features cpu
.venv-py8/bin/pytest tests -q
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