Save classifier to disk in scikit-learn

Question

How can I save a trained Naive Bayes classifier to a disk and use it for predicting data?

Answer 1

You have to initialize your classifier first and then train it for a long time with

clf= some.classifier()

clf.fit(x,y)

After this you can opt for any of the two options-

1. Using Pickle

import pickle

with open('file.pkl', 'wb') as f:

   pickle.dump(clf, f)

with open('file.pkl', 'rb') as f:

   clf = pickle.load(f)

2. Using Joblib

from sklearn.externals import joblib

joblib.dump(clf, 'filename.pkl')

clf = joblib.load('filename.pkl')