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

0 vote291 views1 answer
Python mongodb docker
Python
15 votes274 views4 answers
Pandas select column by index
Python
28 votes275 views3 answers
How to know if a string is a number python
Python
0 vote261 views1 answer
Pandas count all values in whole dataframe
Python
1 vote265 views1 answer
How To Encrypt a Python String
Python
-2 votes256 views1 answer
How to check if a string value is nan in python
Python
0 vote262 views1 answer
Numpy random.permutation
Python
0 vote313 views1 answer
Pandas como eliminar filas con valores no nulos en una columna
Python
0 vote316 views1 answer
Mad libs game prompt python
Python
0 vote268 views1 answer
Combine date and time python
Python