Originally published at: https://developer.nvidia.com/blog/a-guide-to-monitoring-machine-learning-models-in-production/
How can machine learning models in production be monitored effectively? What specific metrics need to be monitored? What tools are most effective? Get the answers to these questions and more.
""In the context of machine learning, monitoring refers to the process of tracking the behavior of a deployed model to analyze performance. Monitoring a machine learning model after deployment is vital, as models can break and degrade in production. Deployment is not a one-time action that you do and forget about. “”
Deployment is not — I guess it should say, monitoring is not a one time action