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 and load sklearn model PKL
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)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')Copyright © 2021 Codeinu
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