sklearn save model

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1# fit the model
2model.fit(X_train, y_train)
3
4# save the model
5import pickle
6pickle.dump(model, open("model.pkl", "wb"))
7
8# load the model
9model = pickle.load(open("model.pkl", "rb"))
10
11# use model to predict
12y_pred = model.predict(X_input)

1model.fit(X_train, Y_train)
2# save the model to disk
3filename = 'finalized_model.sav'
4pickle.dump(model, open(filename, 'wb'))
5 
6# load the model from disk
7loaded_model = pickle.load(open(filename, 'rb'))
8result = loaded_model.score(X_test, Y_test)

1# save as object
2import pickle
3
4s = pickle.dumps(clf)
5clf2 = pickle.loads(s)
6
7# save to file
8from joblib import dump
9
10dump(clf, 'filename.joblib') 
11
12# load from file
13from joblib import load
14
15clf = load('filename.joblib')

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