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Author:
Daniel Wlazlo
License:
MIT
Summary:
Constrained, threshold-aware counterfactual explanations for tree ensembles (XGBoost, LightGBM, CatBoost, sklearn) — fast Rust genetic search, exact optimality proofs, certified infeasibility, and recourse regions.
Latest version:
0.3.2
Required dependencies:
numpy
Optional dependencies:
catboost
|
hypothesis
|
ipykernel
|
lightgbm
|
matplotlib
|
maturin
|
mkdocs
|
mkdocs-jupyter
|
mkdocs-material
|
mkdocstrings
|
mypy
|
probcal
|
pymdown-extensions
|
pytest
|
pytest-cov
|
ruff
|
scikit-learn
|
xgboost
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