https://docs.databricks.com/en/machine-learning/mlops/mlops-workflow.html#7-retraining
In this article, it is mentioned that we can trigger retraining from the alerts.
Triggered. If the monitoring pipeline can identify model performance issues and send alerts, it can also trigger retraining. For example, if the distribution of incoming data changes significantly or if the model performance degrades, automatic retraining and redeployment can boost model performance with minimal human intervention. This can be achieved through an SQL alert to check whether a metric is anomalous (for example, check drift or model quality against a threshold). The alert can be configured to use a webhook destination, which can subsequently trigger the training workflow.
How to obtain the URI of the webhook of a specific job workflow?
