Data Science, Machine Learning, Jupyter Notebook, Open Source, Software Development.
run our notebook, we record the outputs we want to benchmark. Then, once we have at least two historical records, we start comparing new values with historical ones. Finally, we show an error if the new value deviates (by default, it uses three standard deviations as a threshold) from the recorded