Data Simulator For Machine Learning

Virtually any data science experiment that uses a new machine learning algorithm requires testing across different scenarios. Simulated data allows one to do this in a controlled and systematic way that is usually not possible with real data. A convenient way to implement and re-use data simulation in Azure Machine Learning (AML) Studio is through a custom R module. Custom R modules combine the convenience of having an R script packaged inside a drag and drop module, with the flexibility of custom code where the user has the freedom of adding and removing functionality parameters, seen as module inputs in the AML Studio GUI, as needed. A custom R module has identical behavior to native AML Studio modules.