A Machine Learning Engineer is considering moving their functions and unit tests from notebooks into separate Python files (e.g., modules and test scripts) to take advantage of the numerous benefits of this approach like automated execution, code reusability, and version control. Which challenge should the engineer consider with this approach?
Which of the following is an obstacle related to streaming machine learning applications?
Why is Apache Spark useful for machine learning training?
Feature drift occurs when there is a change in which element?
What tool helps avoid feature mismatch between training and inference?
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