Save model pickle

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)

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)

Source: analyticsvidhya.com

Similar codes

2 votes171 views4 answers
Filter rows pandas
Python
56 votes167 views6 answers
Scikit learn train test split
Python
7 votes158 views6 answers
Pandas delete spaces
Python
19 votes156 views1 answer
Pygame scale image python
Python
7 votes174 views3 answers
Subtract list from list python
Python
0 vote156 views1 answer
Concatenação de Strings
Python
13 votes162 views6 answers
Character in string python
Python
3 votes157 views1 answer
How to insert item last in list python
Python
4 votes150 views1 answer
Flask image
Python Flask
2 votes178 views2 answers
Search in django
Python Django