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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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Files for iterative-stratification, version 0.1.6
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Filename, size iterative_stratification-0.1.6-py3-none-any.whl (8.7 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size iterative-stratification-0.1.6.tar.gz (7.0 kB) File type Source Python version None Upload date Hashes View

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