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prism-iml


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Author: Henry Pigot, Paulo J. G. Lisboa, Johan Nilsson
Summary: PRiSM (Partial Responses in Structured Models): convert a trained black-box classifier for tabular data into a standalone nomogram that can be audited term by term
Latest version: 0.1.1
Required dependencies: joblib | matplotlib | numpy | optuna | pandas | python-dotenv | pyyaml | scikit-learn | seaborn | tableone | torch | tqdm | typer | xgboost
Optional dependencies: black | build | cupy-cuda12x | cupy-cuda13x | flake8 | hypothesis | isort | jupyter | jupyterlab | nbautoexport | nbconvert | nbformat | openml | pre-commit | prism-iml | pytest | pytest-cov | pytest-mock | twine

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