Answers for "python pickle load sav"

7

save machine learning model python

model.fit(X_train, Y_train)
# save the model to disk
filename = 'finalized_model.sav'
pickle.dump(model, open(filename, 'wb'))
 
# load the model from disk
loaded_model = pickle.load(open(filename, 'rb'))
result = loaded_model.score(X_test, Y_test)
Posted by: Guest on March-06-2020
1

write data to using pickle

import pickle

example_dict = {1:"6",2:"2",3:"f"}

pickle_out = open("dict.pickle","wb")
pickle.dump(example_dict, pickle_out)
pickle_out.close()
Posted by: Guest on May-27-2020

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