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scikit-fibers


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Author: Ryan Urbanowicz
License: MIT License Copyright (c) 2023 Ryan Urbanowicz Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated do...
Summary: scikit-FIBERS (Feature Inclusion Bin Evolver for Risk Stratification) is a scikit-learn compatible machine learning algorithm for modeling or feature learning in survival analyses where feature 'burden' may be predictive of risk strata.
Latest version: 2.3.0
Required dependencies: lifelines | matplotlib | numpy | pandas | paretoset | scikit-learn | scipy | seaborn | tqdm
Optional dependencies: flake8 | mypy | pytest | pytest-cov | pytest-mock

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