import pickle
# save the model to disk
filename = 'finalized_model.sav'
pickle.dump(model, open(filename, 'wb'))
# some time later...
# load the model from disk
loaded_model = pickle.load(open(filename, 'rb'))
result = loaded_model.score(X_test, Y_test)
print(result)
with open('model_pkl', 'wb') as files:
pickle.dump(model, files)
with open('model_pkl' , 'rb') as f:
lr = pickle.load(f)