# 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>=1.18.0
pandas>=1.0.0
pydantic>=1.8.1
scikit-learn>=0.22.1
strictyaml>=1.3.2
#ruamel.yaml==0.16.12
#feature-engine>=1.0.2
#joblib>=1.0.1
# keras>=2.3.1
# tensorflow>=2.1.0
nltk>=3.4.5
scipy>=1.4.1
