Factual package intelligence from PyPI
Package for Joint Embedding-classifier Learning for Interpretability. Learns feature/item/user embeddings with specific structures, recommends new item-user associations and provides feature importance scores.
pip install jeli
PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==1.10.1>=2.0.1>=1.2.2>=1.9.3>=2.4.0>=0.11.4>=2.1.2>=4.66.2>=0.8.1>=0.14.1>=4.2.0jeli publishes 1 wheel and 1 source archive for version 1.0.2. 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 .