Integration Testing
Explore integration testing techniques and understand how they verify the collaboration of multiple components in machine learning systems. This lesson helps you identify the complexity, maintenance needs, and limitations of integration tests compared to unit testing, preparing you to apply effective testing strategies in your ML projects.
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Overview of integration tests
Integration tests check how several system components work together. For example, integration testing includes launching complex functions that require the operation of multiple simple ones, running pipelines (sequences of transformations), or testing APIs.
Compared to unit tests, integration tests belong to a higher level of testing. In practice, they tend to be slower; they affect several components and require more maintenance work.
Speaking of ...