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A polymorphic model logging utility for MLflow that enables seamless logging of machine learning models from various libraries without requiring explicit type specification or installation of all supported frameworks. It dynamically detects installed libraries and maps model type
pip install mlflow-polylog
PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.13.0mlflow-polylog publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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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 .