Loan Credit Risk

Install RStudio

If you don't have RStudio get it here.
RStudio is already installed on your VM and configured for you.
RStudio is already installed and configured on the edge node of your cluster. To install it on your local computer get it here.

Set Up RStudio for ML Server

RStudio needs to use ML Server for the code in this solution. Follow the instructions below to set up RStudio to use ML Server and/or to verify that you are using the correct version.

(These steps are is not necessary for the version on the cluster edge node.)
  1. Launch RStudio.
  2. Update the path to R.
    1. From the Tools menu, choose Global Options.
    2. In the General tab, update the path to R to point to ML Server:
      • On the VM deployed using the 'Deploy to Azure' button on the Quick start page the path is C:\Program Files\Microsoft SQL Server\130\R_SERVER
      • If you installed ML Server on your own computer, the path is C:\Program Files\Microsoft\R Client\R_SERVER\bin\x6b
  3. If you changed the path, exit RStudio. When you relaunch RStudio, R Client will now be the default R engine.

Return to Typical Workflow for ‘Deploy to Azure’ Deployment