Arize AI for Model Monitoring, Troubleshooting, and Explainability
arizePython library to monitor machine learning predictions with a few lines of code. You can instrument it on a real-time steaming prediction pipeline as well as in a bulk notebook environment.
First step is installing the Arize SDK.
pip install arize
All features, predicted labels, and actual labels passed into the client get published to the Arize platform. Actual labels are mapped back to predictions via the prediction id, so it's important to keep record of prediction ids sent along at inference time in order to successfully match the actual label for precision and other calculated metrics.