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How can I save a trained Naive Bayes classifier to a disk and use it for predicting data? Select the correct answer from above options

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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')

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