Factual package intelligence from PyPI
A pruning algorithm for the scikit-learn RandomForestClassifier which minimizes model complexity while considering a user-specified tolerance for accuracy loss.
pip install purity-threshold-pruning
PyPI declares 2 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=2.2.2>=1.6.1Purity-Threshold-Pruning publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 .