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Author:
Brenden Matthews
Summary:
Fast, deterministic gradient boosting in Rust: conformal intervals, explainable boosting machines, distributional boosting, and tree-based diffusion
Latest version:
0.3.0
Required dependencies:
numpy
Optional dependencies:
hessboost-runtime-cuda
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pandas
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polars
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scikit-learn
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