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Hedged Random Forest — optimized non-equal tree weights for time-series forecasting
pip install hedged-rf
PyPI declares 18 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.23>=1.9>=1.3>=0.57>=1.2The compact report shows 12 of 18 declarations. The interactive dependency graph loads the complete metadata.
hedged-rf publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 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 .