# We use compatible release functionality (see PEP 440 here: https://www.python.org/dev/peps/pep-0440/#compatible-release)
# to specify acceptable version ranges of our project dependencies. This gives us the flexibility to keep up with small
# updates/fixes, whilst ensuring we don't install a major update which could introduce backwards incompatible changes.
numpy>=1.21.0,<2.0.0
pandas>=1.3.5,<2.0.0
pydantic>=1.8.1,<2.0.0
scikit-learn>=1.1.3,<2.0.0
strictyaml>=1.3.2,<2.0.0
ruamel.yaml>=0.16.12,<1.0.0
feature-engine>=1.0.2,<2.0.0
joblib>=1.0.1,<2.0.0