Factual package intelligence from PyPI
Tools for training word and document embeddings in scikit-learn.
pip install scikit-embeddings
PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.2.0,<2.0.0>=0.13.0,<0.14.0>=0.1.0,<0.2.0>=2.0.8,<3.0.0>=0.16.0,<0.17.0>=4.3.0,<5.0.0scikit-embeddings publishes 1 wheel and 1 source archive for version 0.3.1. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.9.
PyPI does not currently declare: project URL. 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 .
The project does not publish external project URLs in its PyPI metadata.