The current way of adding additional R packages to Azure ML is insanely time consuming. There should be a way to install packages from CRAN along with the required dependencies.
I have tried to install the tidytext package using the method described here: https://blogs.msdn.microsoft.com/benjguin/2014/09/24/how-to-upload-an-r-package-to-azure-machine-learning/
When installing tidytext into a clean package library directory there are a total of 23 dependent packages that get installed. I then need to reference which ones are already installed on Azure, check if the version is up to date, package, upload and then install individually (in the correct order).
Azure ML Studio should be able to download the files from the CRAN repo as well as check for and install dependencies. How is this feature not a top priority?
Christos Karras commented
I accidently clicked on "Flag as inappropriate" and can't remove the flag. This request is NOT inappropriate, in fact I completely agree it should be a high priority.