Metadata-Version: 2.4
Name: borutashap-v2
Version: 0.1.0
Summary: An efficient, refactored, and modernized implementation of the Boruta-Shap feature selection algorithm. Scikit-learn compatible and performance-optimized.
Author-email: Zhiyuan <ambiyuan@gmail.com>
Project-URL: Homepage, https://github.com/Zhiyuan-Fan/BorutaShapV2
Project-URL: Bug Tracker, https://github.com/Zhiyuan-Fan/BorutaShapV2/issues
Keywords: feature selection,boruta,shap,xgboost,lightgbm,machine learning
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: shap>=0.40.0
Requires-Dist: scipy>=1.7.0
Requires-Dist: tqdm
Dynamic: license-file
