Factual package intelligence from PyPI
An intelligent diagnosis layer for scikit-learn: evidence-based model failure detection with LLM-powered summaries
pip install sklearn-diagnose
PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.0.0>=1.21.0>=1.3.0>=1.7.0>=1.2.0>=0.3.0>=0.3.0>=0.3.0>=0.4.0>=2.0.0>=1.0.0>=0.100.0The compact report shows 12 of 19 declarations. The interactive dependency graph loads the complete metadata.
sklearn-diagnose publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .