Create Custom R Models in Azure Machine Learning Data Science Dojo

Here is where we take advantage of AzureMl's newest feature: the Create R Model module. Now we can use R's randomForest library and take advantage of its large number of adjustable parameters directly inside AzureML studio. Then, the model can be deployed in a web service. Previously, R models were nearly impossible to deploy to the web. For a detailed explanation of setting up data partitions and model training checkout our other tutorial here.