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Azure-Samples/Azure-MachineLearning-CustomModuleDefinition-App

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NOTE This content is no longer maintained. Visit the Azure Machine Learning Notebook project for sample Jupyter notebooks for ML and deep learning with Azure Machine Learning.

Author: Antonia Miruna Oprescu Setup instructions:

To run this app locally, you need R and RStudio. From R or RStudio, install and load the following packages:

install.packages(c("shiny", "XML"))
library(shiny)

You can start the app from the directory containing the ui.R and server.R files with:

runApp(".")

Alternatively, you can start the app from a different directory with:

runApp(appDir)

Or you can avoid downloading the app files to your local machine by starting the app directly from GitHub with:

runGitHub("Azure/Azure-MachineLearning-CustomModuleDefinition-App")

If you are running on Windows, you must make sure you have zip capabilities enabled. The easiest way to ensure this is to install RTools from

https://cran.r-project.org/bin/windows/Rtools/

and then uncomment line 3 from server.R .

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Shiny (R) web app for authoring custom modules in Azure ML.

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