Answers for "pickle python save model"

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 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)

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 object pickle python

import pickle filehandler = open(filename, 'r') object = pickle.load(filehandler)