Factual package intelligence from PyPI
Scikit-multilearn-ng is the follow up to scikit-multilearn, a BSD-licensed library for multi-label classification that is built on top of the well-known scikit-learn ecosystem.
pip install scikit-multilearn-ng
PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.1.0>=1.15.1>=2.2.1>=2.1>=0.11>=0.16.0>=0.19.2>=2.18.4The compact report shows 12 of 18 declarations. The interactive dependency graph loads the complete metadata.
scikit-multilearn-ng publishes 1 wheel and 1 source archive for version 0.0.8. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .