R on Azure ML

Author: fatchat

azure-ml-skeleton.r

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+# Map 1-based optional input ports to variables
+dataset1 <- maml.mapInputPort(1) # class: data.frame
+dataset2 <- maml.mapInputPort(2) # class: data.frame
+
+# Contents of optional Zip port are in ./src/
+# source("src/yourfile.R");
+# load("src/yourData.rdata");
+
+# Sample operation
+data.set = rbind(dataset1, dataset2);
+
+# You'll see this output in the R Device port.
+# It'll have your stdout, stderr and PNG graphics device(s).
+plot(data.set);
+
+# Select data.frame to be sent to the output Dataset port
+maml.mapOutputPort("data.set");

get-package-list.r

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+# R code to send package list to an ML Azure output port
+out <- data.frame(installed.packages())
+maml.mapOutputPort("out")