[python] Save classifier to disk in scikit-learn

sklearn.externals.joblib has been deprecated since 0.21 and will be removed in v0.23:

/usr/local/lib/python3.7/site-packages/sklearn/externals/joblib/init.py:15: FutureWarning: sklearn.externals.joblib is deprecated in 0.21 and will be removed in 0.23. Please import this functionality directly from joblib, which can be installed with: pip install joblib. If this warning is raised when loading pickled models, you may need to re-serialize those models with scikit-learn 0.21+.
warnings.warn(msg, category=FutureWarning)


Therefore, you need to install joblib:

pip install joblib

and finally write the model to disk:

import joblib
from sklearn.datasets import load_digits
from sklearn.linear_model import SGDClassifier


digits = load_digits()
clf = SGDClassifier().fit(digits.data, digits.target)

with open('myClassifier.joblib.pkl', 'wb') as f:
    joblib.dump(clf, f, compress=9)

Now in order to read the dumped file all you need to run is:

with open('myClassifier.joblib.pkl', 'rb') as f:
    my_clf = joblib.load(f)

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