How can I implement automated testing for my Python ML project?

How can I implement automated testing for my Python ML project?

You can use frameworks like pytest along with libraries like unittest or doctest to automate your testing.

What types of tests should I include in my ML project?

You should consider unit tests, integration tests, and end-to-end tests to cover different aspects of your ML model.

How do I test the performance of my ML model?

You can use metrics like accuracy, precision, recall, and F1 score to evaluate your model's performance during testing.

Are there any tools specifically for testing ML models?

Yes, tools like MLflow and TensorFlow Model Analysis can help you test and validate your ML models effectively.