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A framework for training machine learning models for researchers.
pip install minerva-ml
PyPI declares 42 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3==4.37.0>=0.2.1>=2.1.9>=3.7>=1.23.5>=4.10.0.84>=2.2.2>=1.12>=5.18>=6.0>=13.0>=1.2.0>=1.10>=0.13>=2024>=1.0.2>=2.5.0The compact report shows 18 of 42 declarations. The interactive dependency graph loads the complete metadata.
minerva-ml publishes 1 wheel and 1 source archive for version 0.3.8b0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 9 releases with files. The first dated release is ; 9 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .