Execute R Script in ML Studio

Question

Hi,

I am trying to runt the following R Script in an 'Execute R Script' module in Machine Learning Studio.

data.set <- data.frame(installed.packages())
maml.mapOutputPort("data.set")

This script is taken from the 'Get started with Machine Learning Studio (classic)' in R page (https://learn.microsoft.com/en-au/azure/machine-learning/classic/r-get-started#timeseries)

Whilst it works in ML (classic) I receive the following error when running it in Machine Learning Studio;

Error in maml.mapOutputPort("data.set"): could not find function "maml.mapOutputPort"

What additional config settings are needed to enable R scripts in ML Studio?

Thank you.

Answer 1

@Graham Benson For the designer version of the Azure ML studio you could follow the steps in this document to install the packages and run any R scripts. Unlike the classic version you need to select or create compute for your experiment before the experiment can be submitted.

Example for installing a package:

azureml_main <- function(dataframe1, dataframe2){  
  print("R script run.")  
    
  if(!require(zoo)) install.packages("zoo",repos = "http://cran.us.r-project.org")  
  library(zoo)  
  # Return datasets as a Named List  
  return(list(dataset1=dataframe1, dataset2=dataframe2))  
}