Its my 1st time using Azure ML and I am having a rough time. I need to install multiple R packages that are not provided by default in Azure
Unfortunately yes. You can do 2 things.
First figure out which of the dependencies are already installed in azureml. See this blogpost
Use Execute R script task in AML studio and copy paste the below script:
out <- data.frame(installed.packages(,,,fields=”Description”))
maml.mapOutputPort(“out”)
Collect all depended packages (imports and linkingto) and add these to the zip file (in the correct order) and follow the information in the blogpost you linked to.
I use option 1, since that limits the amount of packages needed. But be aware of version differences on azureML and cran.