An apiary winter-loss desk uses a popular ML development framework (TensorFlow or PyTorch named only as examples). A developer called an API in a way the library did not intend, and the fit looks “done.” What mitigation should testers pick?
Select an answer to reveal the explanation.
Short Explanation
A developer called a library API in a way the framework did not intend, and the fit looks “done.” The mitigation is API testing of incorrect or unintended use of library or framework APIs. TensorFlow and PyTorch are syllabus examples, not a product exam. Model-metric work, a live canary, and a card review miss that mitigation.
Full Explanation
Framework or API misuse is mitigated by API testing. TensorFlow and PyTorch are syllabus examples, not a product exam. Model-metric work, a canary, and a card review miss that mitigation.