Скачать или смотреть Integrating Testing and Validation Steps in CI/CD

Integrating testing and validation is pivotal in CI/CD pipelines for ML. Testing ensures that your models are reliable and perform as expected. Start with unit tests for individual components, followed by integration tests to verify that components work together. Next, focus on validation tests to assess the model's performance on real data. Tools like PyTest, TestNG, and Selenium can automate these processes. Continuous validation is crucial for ML, as models must adapt to changing data and environments. This involves re-evaluating models against current data to ensure sustained accuracy and performance. Remember, robust testing and validation are not just about finding bugs; they're about building confidence in your deployments.