A scikit-based Python environment for performing multi-label classification. Scikit-multilearn is a Python library for performing multi-label classification. The library is compatible with the scikit/scipy ecosystem and uses sparse matrices for all internal operations. It provides native Python implementations of popular multi-label classification methods alongside novel framework for label space partitioning and division. It includes graph-based community detection methods that utilize the powerful igraph library for extracting label dependency information. In addition its code is well test covered and follows PEP8. Source code and documentation can be downloaded from this http URL and also via pip. The library follows scikit’s BSD licencing scheme.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Szymański, Piotr; Kajdanowicz, Tomasz: scikit-multilearn: a scikit-based Python environment for performing multi-label classification (2019)
- Adriano Rivolli; Andre C. P. L. F. de Carvalho: The utiml Package: Multi-label Classification in R (2018) not zbMATH
- Piotr Szymanski: A scikit-based Python environment for performing multi-label classification (2017) arXiv