Metadata-Version: 2.1
Name: swfilter
Version: 0.1
Summary: swfilter: A Python implementation of the sliced-Wasserstein-based anomaly detection method from the work of Julien Pallage et al.
Home-page: https://github.com/jupall/swfilter
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
License-File: LICENSE
Requires-Dist: numpy >=1.26
Requires-Dist: POT >=0.9.4
Requires-Dist: pandas >=2.1
Requires-Dist: scikit-learn >=1.3
Requires-Dist: scipy >=1.11
Requires-Dist: joblib >=1.3.1

For more information, please visit the GitHub repository: jupall/swfilter
