model pickle file create
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)save model pickle
with open('model_pkl', 'wb') as files:
pickle.dump(model, files)
with open('model_pkl' , 'rb') as f:
lr = pickle.load(f)save object pickle python
import pickle object = Object() filehandler = open(filename, 'w') pickle.dump(object, filehandler)save object pickle python
import pickle filehandler = open(filename, 'r') object = pickle.load(filehandler)Copyright © 2021 Codeinu
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