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an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions
pip install eh-evalml
PyPI declares 60 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.22.0<2.1.0,>=1.5.0<1.14.0,>=1.5.0>=1.3.2>=0.9.0>=21.0.2>=0.4.4>=1.5.0>=8.0.0>=0.45.0>=0.12.2>=1.6.2The compact report shows 12 of 60 declarations. The interactive dependency graph loads the complete metadata.
eh-evalml publishes 1 wheel and 1 source archive for version 0.0.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 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 .