iterative-stratification
Package that provides scikit-learn compatible cross validators with stratification for multilabel data
Readme
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.
FAQs
Package that provides scikit-learn compatible cross validators with stratification for multilabel data
We found that iterative-stratification demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
The NVD is facing a significant backlog with over 12,500 CVEs awaiting analysis, and more than 50% of known exploited vulnerabilities (KEVs) left unenriched since mid-February.
Security News
Ransomware costs victims an estimated $30 billion per year and has gotten so out of control that global support for banning payments is gaining momentum.
Application Security
New SEC disclosure rules aim to enforce timely cyber incident reporting, but fear of job loss and inadequate resources lead to significant underreporting.
