Factual package intelligence from PyPI
Log explainable ML models (predictor + SHAP explainer) to MLflow as a single self-contained pyfunc artifact.
pip install mlflow-explainable
PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<4,>=2.0>=0.43>=2.0>=1.23>=1.5mlflow-explainable publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.9.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .