What are the best practices for CI in machine learning?

What are the best practices for CI in machine learning?

Best practices for CI in ML include version control for data and models, automated testing, and continuous monitoring.

How can I implement version control for my ML models?

You can use tools like DVC or Git LFS to manage model versions alongside your code.

What kind of automated tests should I run for my ML models?

You should run unit tests for your code, integration tests for data pipelines, and performance tests for model accuracy.

How do I ensure continuous monitoring of my ML models?

Implement monitoring tools that track model performance metrics and set up alerts for any significant deviations.