numpy>=2.4.2
pandas>=3.0.1
scipy>=1.17.1
scikit-learn>=1.8.0
boruta>=0.4.3
catboost>=1.2.10
datasets>=4.6.1
flaml>=2.5.0
lightgbm>=4.6.0
mapie>=1.3.0
optuna>=4.0.0
pytabkit>=1.7.3
pyvinecopulib>=0.7.5
shap>=0.46.0
statsmodels>=0.14.4
threadpoolctl>=3.6.0
torch>=2.10.0
tqdm>=4.67.3
xgboost>=3.2.0

[full]
tabpfn>=6.4.1
