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Package that provides scikit-learn compatible cross validators with stratification for multilabel data

Project description

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.

Project details


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Filename, size & hash SHA256 hash help File type Python version Upload date
iterative_stratification-0.1.6-py3-none-any.whl (8.7 kB) Copy SHA256 hash SHA256 Wheel py3
iterative-stratification-0.1.6.tar.gz (7.0 kB) Copy SHA256 hash SHA256 Source None

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