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Constrained, threshold-aware counterfactual explanations for tree ensembles (XGBoost, LightGBM, CatBoost, sklearn) on a bundled Rust genetic engine.
pip install treecf
PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.24The compact report shows 12 of 28 declarations. The interactive dependency graph loads the complete metadata.
treecf publishes 6 wheels and 1 source archive for version 0.0.1. Wheel platform tags: macosx_10_12_x86_64, macosx_11_0_arm64, manylinux_2_17_aarch64.manylinux2014_aarch64, manylinux_2_17_x86_64.manylinux2014_x86_64, musllinux_1_2_x86_64, win_amd64.
Declared Python classifiers: 3.11, 3.12, 3.13.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
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 .