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NWF for recommendation systems: matrix factorization with (z, sigma) for users and items. MovieLens, HR@k, incremental learning.
pip install nwf-recsys
PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.2.3>=1.21>=1.10>=1.0nwf-recsys publishes 1 wheel and 0 source archives for version 0.1.1. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 .