save model sklearn code example
Example 1: save machine learning model python
model.fit(X_train, Y_train)
filename = 'finalized_model.sav'
pickle.dump(model, open(filename, 'wb'))
loaded_model = pickle.load(open(filename, 'rb'))
result = loaded_model.score(X_test, Y_test)
Example 2: save machine learning model
model.fit(X_train, y_train)
import pickle
pickle.dump(model, open("model.pkl", "wb"))
model = pickle.load(open("model.pkl", "rb"))
y_pred = model.predict(X_input)
Example 3: sklearn save model
import pickle
s = pickle.dumps(clf)
clf2 = pickle.loads(s)
from joblib import dump
dump(clf, 'filename.joblib')
from joblib import load
clf = load('filename.joblib')