This browser is no longer supported.
Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support.
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(54.400000000000006, 63%, 15%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3EAA%3C/text%3E%3C/svg%3E)
I created a compute instance and then I installed all the necessary R packages to execute a few scripts. The scripts run without issue when I'm inside an RStudio instance on that compute instance. However, when I try to have those scripts run through the Designer service using the same compute instance, R no longer recognizes the packages as being installed. Is there a way for Designer to recognize the installed R packages without resorting to using a Docker image, or the zip file method from the stackoverflow question linked below?
https://stackoverflow.com/questions/40632047/azure-ml-studio-cannot-load-a-installed-package-in-r
@Adrian Antico (TEKsystems, Inc.) Based on my experience this scenario is still not possible with the new designer. The guidance is to still use install.packages() in the module script.
I am also checking internally to find out if there is a possible way to achieve this.
Thanks! Running install.packages() within the script is much easier than collecting package binaries and zipping them up. I was able to get it running I just needed to add in "options(repos = c(CRAN = "https://cran.rstudio.com"))" so install.packages() new where to look for packages (cran mirror). I also included the same command line installs as I did with the script although I'm not sure if I needed to.
system("sudo apt-get update")
system("sudo apt-get upgrade -y")
system("sudo apt-get install libcurl4-openssl-dev --fix-broken")
I'm not sure who is in charge of documentation for Azure Machine Learning services but I'd be happy to share what I've setup to help others who are looking to do something similar. It wasn't an easy process to figure out and having some real world examples could make life a lot easier for other users.
It looks like I'm running into trouble when attempting to install a github package via devtools::install_github()
Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) :
namespace ‘ellipsis’ 0.3.0 is already loaded, but >= 0.3.1 is required
In the R script I tried to remove.packages("ellipsis") and then install.packages("ellipsis") but I keep getting the same error.
Do you know a workaround for installing github packages?
Found a workaround that gets me past the previous hurdle. If I use install.packages as such, I can install github packages:
install.packages("https://github.com/AdrianAntico/RemixAutoML/archive/refs/tags/V0.5.9.tar.gz", repos = NULL, type = "source", INSTALL_opts = c("--no-multiarch", "--no-test-load"))
![](data:image/svg+xml, %3Csvg xmlns='http://www.w3.org/2000/svg' height='64' class='font-weight-bold' style='font: 600 30.11764705882353px "SegoeUI", Arial' width='64'%3E%3Ccircle fill='hsl(57.599999999999994, 21%, 15%)' cx='32' cy='32' r='32' /%3E%3Ctext x='50%25' y='55%25' dominant-baseline='middle' text-anchor='middle' fill='%23FFF' %3ECD%3C/text%3E%3C/svg%3E)
Using Azure ML Studio Designer with R script: package not found but I installed it on the compute cluster