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hydraboost


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Author: Your Name
License: MIT License Copyright (c) 2026 Your Name Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated document...
Summary: Bandit-allocated heterogeneous Newton boosting for tabular data
Latest version: 0.1.0
Required dependencies: lightgbm | numpy | scikit-learn | scipy
Optional dependencies: catboost | pandas | pytest | pytest-cov | ruff | xgboost

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