What are the best practices for testing machine learning models in C++?

What are the best practices for testing machine learning models in C++?

Some best practices include using unit tests, integration tests, and validating model performance with cross-validation.

Can you explain how to implement unit tests for a C++ ML model?

Sure! You can use frameworks like Google Test to create unit tests for your model's functions and ensure they behave as expected.

What metrics should I use to evaluate my model's performance?

Common metrics include accuracy, precision, recall, F1 score, and AUC-ROC, depending on your specific use case.

How can I automate the testing process for my ML models?

You can use CI/CD tools like Jenkins or GitHub Actions to automate testing whenever you push changes to your code.