Technical requirements
In this chapter, you will be creating an Azure Kubernetes Service (AKS) instance through AML studio and creating real-time scoring endpoints using the Diabetes-AllData-Regression-AutoML
that you created in Chapter 4, Building an AutoML Regression Solution.
As such, you will need a working internet connection, an Azure Machine Learning Service (AMLS) workspace, and a compute instance. You will also need permission to create an AKS cluster. If you are using a personal account, this will not be an issue.
The following are the prerequisites for the chapter:
- Have access to the internet
- Have a web browser, preferably Google Chrome or Microsoft Edge Chromium
- Have a Microsoft Azure account
- Have created an AMLS workspace
- Have created the
compute-cluster
compute cluster in Chapter 2, Getting Started with Azure Machine Learning Service - Understand how to navigate to the Jupyter environment from an Azure compute instance as demonstrated...