Don't Mock Machine Learning Models In Unit Tests
Read OriginalThe article discusses the challenges of applying traditional software unit testing practices to machine learning code. It explains the fundamental difference between software logic and learned model logic, arguing against mocking models in tests. It provides practical guidelines for unit testing ML code, such as using small, self-contained data samples and testing actual model behavior in key scenarios.
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