Saving and updating models
Once you have gone through the steps of the Box-Jenkins method and arrived at a model you are happy with, you will want to be able to save that model and also to incorporate new measurements when they are available. This is key part of putting the model into production.
In this exercise you will save a freshly trained model to disk, then reload it to update it with new data.
The model is available in your environment as model.
This exercise is part of the course
ARIMA Models in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import joblib
____
# Set model name
filename = ____
# Pickle it
joblib.dump(____,____)