Data Science, Machine Learning, Jupyter Notebook, Open Source, Software Development.
may use snapshot testing to throw an error if the model performance metric (e.g. accuracy) degrades suddenly. Snapshot tests can help you detect problems such as corrupted data, model misconfiguration, or data leakage. For example, let’s say you’ve been training models, and suddenly, the model