First published on MSDN on Nov 21, 2017
To benefit from
Machine Learning Server
’s web service deployment and remote execution features, you must first configure the server after installation to act as a deployment server and host analytic web services.
The installation process is already taken care by using these Azure Marketplace Images (which come with Machine Learning Server pre-installed):
We will use ARM Template Custom Script Extensions to automate One-Box/Enterprise Configuration.
As the name suggests, one web node and one compute node run on a single machine. This configuration is useful when you want to explore what it is to operationalize R analytics using R Server. It is perfect for testing, proof-of-concepts, and small-scale prototyping, but might not be appropriate for production usage.
In this configuration, multiple nodes are configured on multiple machines along with other enterprise features like High Availability, Active Directory Authentication, Secure Connectivity etc. This configuration can be scaled up or down by adding or removing nodes.
We have created the following 8 ARM Templates for easy deployment of One-Box and Enterprise Configurations: