Outputs will be inputs
● Ensembles turn any model into a feature
○ That’s great!
○ That can be a mess!
● Make sure the output of your model is ready to
accept data dependencies
○ E.g. can you easily change the distribution of the
value without affecting all other models
depending on it?
● Avoid feedback loops
● Can you treat your ML infrastructure as you would
your software one?