ValueError: node array from the pickle has an incompatible dtype

🚀 Deployment
5

Read the docs on model persistence, specifically:

When an estimator is unpickled with a scikit-learn version that is inconsistent with the version the estimator was pickled with, a InconsistentVersionWarning is raised. This warning can be caught to obtain the original version the estimator was pickled with:

from sklearn.exceptions import InconsistentVersionWarning
warnings.simplefilter("error", InconsistentVersionWarning)

try:
   est = pickle.loads("model_from_prevision_version.pickle")
except InconsistentVersionWarning as w:
   print(w.original_sklearn_version)

Keep reading for ways to avoid or mitigate issues like this in the future.