November 2017
Intermediate to advanced
374 pages
10h 19m
English
from sklearn.externals import joblibpulled_model = joblib.load("dtree.clf")y_pred = pulled_model.predict(X)
We did not have to train the model again, and have saved a lot of training time. We simply reloaded it with joblib and made a prediction.
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