Metadata-Version: 2.1
Name: iterative-stratification
Version: 0.1.9
Summary: Package that provides scikit-learn compatible cross validators with stratification for multilabel data
Home-page: https://github.com/trent-b/iterative-stratification
Download-URL: https://github.com/trent-b/iterative-stratification
Maintainer: Trent J. Bradberry
Maintainer-email: trentjason@hotmail.com
License: BSD 3
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-learn

This iterative-stratification project offers implementations of MultilabelStratifiedKFold, MultilabelRepeatedStratifiedKFold, and MultilabelStratifiedShuffleSplit with a base algorithm for stratifying multilabel data described in the following paper: Sechidis K., Tsoumakas G., Vlahavas I. (2011) On the Stratification of Multi-Label Data. In: Gunopulos D., Hofmann T., Malerba D., Vazirgiannis M. (eds) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2011. Lecture Notes in Computer Science, vol 6913. Springer, Berlin, Heidelberg.
