Save machine learning model

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)

Save machine learning model

# fit the model
model.fit(X_train, y_train)

# save the model
import pickle
pickle.dump(model, open("model.pkl", "wb"))

# load the model
model = pickle.load(open("model.pkl", "rb"))

# use model to predict
y_pred = model.predict(X_input)

Similar codes

0 vote284 views1 answer
Extract images from html page based on src attribute using beatutiful soup
Python
0 vote245 views1 answer
Heroku run python manage.py migrate
Python
0 vote268 views4 answers
Craeting a method that can take any number of arguments in python
Python
3 votes253 views1 answer
Spam python
Python
1 vote235 views1 answer
Simple trivia question python
Python
3 votes245 views1 answer
How to connect templates in django
Python
1 vote308 views1 answer
Access-Control-Allow-Origin django
Python Django
0 vote253 views2 answers
Cors python functions framework local
Python
1 vote233 views1 answer
Is there find_all method in re or regex module in python?
Python
0 vote245 views1 answer
RuntimeError: Tensor for 'out' is on CPU, Tensor for argument #1 'self' is on CPU, but expected them to be on GPU
Python