Model Monitoring and Data Drift
Once your model is in production, it is essential to monitor its health:
Production data monitoring with Galileo
Is there training<>production data drift? What unlabeled data should I select for my next training run? Is the model confidence dropping on an existing class in production? ...
To answer the above questions and more with Galileo, you will need:
- 1.Your unlabeled production data
- 2.Your model
⚡️Simply run an inference job on production data to view, inspect and select samples directly in the Galileo UI.
Here is what to expect:
• Quickly compare model confidence and class distributions between production and training runs
• Find similar samples to low confidence production data within less than a second
... and a lot more