I saved an xgboost boost model in filetstore as a pkl file.

I call the model by the commands below

model = pickle.load(open('/.../model.pkl', 'rb'))

model.predict_proba(df[features])

The model has been running for sometime with the above commands but I now get an error saying

'XGBModel' object has no attribute 'feature_types'

I tried specifying the version of the xgboost library installation but that does not work.

What could be the issue?