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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file iterative_stratification-0.1.8.tar.gz.
File metadata
- Download URL: iterative_stratification-0.1.8.tar.gz
- Upload date:
- Size: 8.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 7aa395a31cd6141152ccd8bc78edf29e66a7cfcd6c8c0cb52370ef79560e5480 |
|
| MD5 | 436387104f2977e65e466df6dbb7a29f |
|
| BLAKE2b-256 | b1a253f1ebff8989439500bd41a21ad49fb1f89ab5ab7a0d3b05dcac4525c2a8 |
File details
Details for the file iterative_stratification-0.1.8-py3-none-any.whl.
File metadata
- Download URL: iterative_stratification-0.1.8-py3-none-any.whl
- Upload date:
- Size: 8.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.19
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 076e192e0c5ccbc38a29b01185375737159137a4acafe5c7ebeaa728ac9abdae |
|
| MD5 | 144e6b8654467fddc5dd068f63e6ae6d |
|
| BLAKE2b-256 | 115655c7e8306feb3cb8975a8472b3b841528ac34a1088816d82eaab3921817c |
