When writing unit tests for machine learning models, I focus on testing the preprocessing steps, model training, and predictions. TDD applies by ensuring that I define tests before implementing the…
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#data validation
How do you approach writing unit tests for machine learning models, and how does TDD apply in this context?
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Can you explain how you would design an API for an AI agent to request information from a database, considering factors like data validation and error handling?
I would design the API to accept well-defined parameters for the information request, use a structured response format like JSON, and implement data validation on the input parameters. For error…
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