AI + Machine Learning, Azure DevOps, Azure Machine Learning, DevOps, How to
Published • 4 min read
MLOps Blog Series Part 2: Testing robustness of secure machine learning systems using machine learning ops
By Takuto Higuchi Product Marketing Manager, Data and AI Marketing
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 tests, data and model testing, and integration testing.