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Author:
None
License:
ACADEMIC SOFTWARE LICENSE
Version 1, 13 June 2025
Copyright (C) 2025 Cedars-Sinai Medical Center (“Institution”). Academic or nonprofit researchers are permitted to use this ...
Summary:
The Heuristic Evolutionary Rule Optimization System (HEROS) is a supervised rule-based machine learning algorithm designed to agnostically model diverse 'structured' data problems and yield compact human interpretable solutions. This implementation is scikit-learn compatible.
Latest version:
0.3
Required dependencies:
matplotlib
|
networkx
|
numpy
|
pandas
|
scikit-learn
|
scipy
|
seaborn
|
skrebate
Optional dependencies:
flake8
|
mypy
|
pytest
|
pytest-cov
|
pytest-mock
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