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A comprehensive machine learning framework with 68 algorithms spanning classical ML, clustering, AutoML, and explainability
pip install eclipsera
PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.
eclipsera publishes 1 wheel and 1 source archive for version 1.2.0. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13.
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 .