How do you make your code resilient to features in Machine learning model?<p>Current Model: Model A
New Model: Model B<p>Example 1:
If Model A has 10 feature inputs. However, Model B has only 6 feature inputs. No new features added. You have to make production code change remove using other 4 features in Production which requires a code change. How to make system intelligent to take only 6 inputs.<p>Example 2:
If Model B doesnt workout well, you rollback to Model A. How do you ensure that all features are used again in Model A without any code changes and re-adding features.<p>How do you ensure that code is always compatible no matter what model you use in production.