dice-ml>=0.11,<0.12
econml>=0.14.1
statsmodels<0.14.0
jsonschema
erroranalysis>=0.4.5
interpret-community>=0.30.0
lightgbm>=2.0.11
numpy>=1.17.2,<1.24.0
numba<=0.55.2
pandas>=0.25.1,<2.0.0
scikit-learn>=0.22.1,!=1.1 # See PR 1429 about upper bound
scipy>=1.4.1
semver~=2.13.0
ml-wrappers

# Pinned dependencies
networkx<=2.5
ipykernel<=6.8.0
markupsafe<=2.1.2
raiutils>=0.4.0
