| pandas>=2.2.0 | |
| numpy>=1.26.0 | |
| sqlalchemy>=2.0.0 | |
| psycopg2-binary>=2.9.9 | |
| gradio>=4.0.0 | |
| pyarrow>=15.0.0 | |
| scikit-learn>=1.4.0 | |
| # Modèles gradient boosting / multi-output recommandés pour la prédiction bureau de vote | |
| lightgbm>=4.3.0 | |
| xgboost>=2.0.0 | |
| catboost>=1.2.5 | |
| shap>=0.45.0 | |
| pyyaml>=6.0.0 | |
| matplotlib>=3.8.0 | |
| folium>=0.16.0 | |