Factual package intelligence from PyPI
Discover hidden predictive qualities of features in your dataset by testing them for linear separability after applying different kernel transformations.
pip install featurediscovery
PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.0.0>=1.0.0>=9.6.0>=3.0.0>=1.7.0featurediscovery publishes 1 wheel and 1 source archive for version 0.1.1. Wheel platform tags: any.
Declared Python classifiers: 3.9.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .