saving sklearn model to pickle code example

Example 1: 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)

Example 2: sklearn save model

# save as object
import pickle

s = pickle.dumps(clf)
clf2 = pickle.loads(s)

# save to file
from joblib import dump

dump(clf, 'filename.joblib') 

# load from file
from joblib import load

clf = load('filename.joblib')