MLOPs Blog Series Part 2: Testing robustness of secure machine learning systems using machine learning ops
Robustness is the ability of a closed-loop system to tolerate perturbations or anomalies while system parameters are varied over a wide range. There are three essential tests to ensure that the machine learning system is robust in the production environments: unit testing, data and model testing, and integration testing. Unit testing Tests are performed on…