Use Domino’s dashboard to monitor your data science models. The model monitoring feature detects and tracks data drift in the model’s input features and output predictions. If you have ground truth data in the model, Domino can calculate and track the model’s prediction quality using standard measures such as accuracy, precision, and more.
Domino’s monitoring feature checks if the characteristics of the predictions versus the target data that were used to train the model are significantly different. You can set up scheduled checks, use APIs to ingest data, configure notification recipients to continuously monitor your models across your organization, and review historical data about the checks. APIs give you a way to integrate into existing business processes, as well as a programmatic option to automatically retrain models.
Find out more about how to use monitoring in these topics: