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optiflowx


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Author: None
License: MIT
Summary: A modular optimization and machine learning workflow framework for hyperparameter tuning and performance benchmarking across diverse datasets.
Latest version: 0.0.9
Required dependencies: numpy | optuna | scikit-learn | scikit-optimize | tqdm
Optional dependencies: black | build | mkdocs | mkdocs-material | mypy | optuna | pytest | pytest-cov | ruff | scikit-optimize | twine | xgboost

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