Metadata-Version: 2.1
Name: adversarial-labeller
Version: 0.1.3
Summary: Sklearn compatiable model instance labelling tool to help validate models in situations involving data drift.
Home-page: https://github.com/robinsonkwame/adversarial_labeller
Author: Kwame Porter Robinson
Author-email: kwamepr@umich.edu
License: MIT license
Keywords: model selection,validation,data drift
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Requires-Dist: imbalanced-learn (==0.5.0)
Requires-Dist: joblib (==0.13.2)
Requires-Dist: numpy (==1.17.2)
Requires-Dist: pandas (==0.25.1)
Requires-Dist: python-dateutil (==2.8.0)
Requires-Dist: pytz (==2019.2)
Requires-Dist: scikit-learn (==0.21.3)
Requires-Dist: scipy (==1.3.1)
Requires-Dist: six (==1.12.0)
Requires-Dist: sklearn (==0.0)

UNKNOWN


