ML development risks · Question 1 of 60
What does ML development testing focus on?
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Answer
- A On risks from development tools, configuration and deployment, not on the model itself
Explanation
Testing ML development is not about the model itself, but about everything around it: development tools, configuration decisions and the way things are shipped. Common means are API tests, functional performance tests, A/B and back-to-back tests, and reviews.