Monitor Azure machine learning with Watson OpenScale

This code pattern uses a German Credit data set to create a logistic regression model using Azure. The pattern uses Watson OpenScale to bind the machine learning model deployed in the Azure cloud, create a subscription, and perform payload and feedback logging. With Watson OpenScale, you can monitor model quality and log payloads, regardless of where the model is hosted. This code pattern uses an example of an Azure model, which demonstrates the independent and open nature of Watson OpenScale. IBM Watson OpenScale is an open environment that enables organizations to automate and operationalize their AI.