Consuming O16N Web Services from Azure Functions

Operationalization feature of Microsoft Machine Learning Server allows us to publish R/Python models and code in the form of web services and the consume these services within client applications. This article outlines step-by-step details of consuming the published web service (R language) using Azure Functions (C# TimerTrigger). Azure Functions is a solution for easily running…


Encrypting Communication between Web Node and Compute Node in Linux

This article walks you through the steps for encrypting the traffic between web nodes and compute nodes in Linux using self-signed certificates. If a compute node is inside the web node’s trust boundary, then encryption of this piece isn’t needed. However, if the compute node resides outside of the trust boundary, consider using the compute…


Using Microsoft R Server Operationalization on HDInsight

R Server on HDInsight cluster allows R scripts to use Spark and MapReduce to run distributed computations. You can develop a model and operationalize the model to make predictions by configuring Edge Node as One-Box. We have One-Click Deploy ARM Templates using which you can create R Server on HDInsight Cluster with EdgeNode configured as…


Role Based Access Control With MRS 9.1.0

In the latest release of Microsoft R Server 9.1 we can configure role based access control (RBAC) for users who can publish, modify and delete the web services. There are three roles in MRS 9.1 and each role has defined set of permissions for what they can do and what they cannot do. Owner: users…


REST Calls using PostMan for R server Operationalization

The Microsoft R Server operationalization REST APIs are exposed by R Server’s operationalization server, a standards-based server technology capable of scaling to meet the needs of enterprise-grade deployments. With the operationalization feature configured, the full statistics, analytics and visualization capabilities of R can now be directly leveraged inside Web, desktop and mobile applications. Core Operationalization…


REST Calls using PostMan for R server O16N

The Microsoft R Server operationalization REST APIs are exposed by R Server’s operationalization server, a standards-based server technology capable of scaling to meet the needs of enterprise-grade deployments. With the operationalization feature configured, the full statistics, analytics and visualization capabilities of R can now be directly leveraged inside Web, desktop and mobile applications. Core Operationalization…


Reference implementation of credit risk prediction using R

This post is authored by Surendra Tipparaju and Durga Prasad Chappidi at Microsoft Credit risk prediction is one of most common models and yet most revisited. The risk assessment is determined based on dataset and number of features that can be included in the model. We have implemented the initial model few months back in…