Metadata-Version: 2.2
Name: gbmframework
Version: 0.1.7
Summary: A unified framework for Gradient Boosting Models with SHAP analysis
Home-page: https://github.com/yourusername/gbmframework
Author: Mark Attwood + Claude 3.7
Author-email: attwoodanalytics@gmail.com
Keywords: machine learning,gradient boosting,xgboost,lightgbm,catboost,shap
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: scikit-learn
Requires-Dist: shap
Provides-Extra: xgboost
Requires-Dist: xgboost; extra == "xgboost"
Provides-Extra: lightgbm
Requires-Dist: lightgbm; extra == "lightgbm"
Provides-Extra: catboost
Requires-Dist: catboost; extra == "catboost"
Provides-Extra: hyperopt
Requires-Dist: hyperopt; extra == "hyperopt"
Provides-Extra: all
Requires-Dist: xgboost; extra == "all"
Requires-Dist: lightgbm; extra == "all"
Requires-Dist: catboost; extra == "all"
Requires-Dist: hyperopt; extra == "all"
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