Mona is a monitoring platform for AI systems, providing you with unparalleled visibility into how your models behave in production, using highly configurable anomaly detection mechanisms and analytical tools to make sure you can recognize and get alerted on drifts, biases, data integrity issues and more.
In the following chapters we will show you how to export your data to Mona, configure it properly, set up anomaly detections and get notifications directly to your email or messaging apps such as Slack.
In this tutorial, we will work with a creditworthiness model data set for short-term loans. You can find the data set and useful related scripts on our git repository. We encourage you to be hands-on during this tutorial and use the data set yourself in your own Mona account. In case you still don’t have an account up and running, please contact us on www.monalabs.io
Updated 23 days ago