pandas>=2.2.3
pyarrow>=19.0.1
statsmodels>=0.14.4
numpy>=1.26.4,<2
sktime>=0.37.0
pytorch-forecasting>=1.3.0
mlflow>=2.22.0
litmodels>=0.1.8
dill>=0.4.0
cloudpickle>=3.1.1
torch>=2.7.0
pmdarima>=2.0.4