https://github.com/Azure-Samples/Azure-MachineLearning-CustomModuleDefinition-App

Shiny (R) web app for authoring custom modules in Azure ML.
https://github.com/Azure-Samples/Azure-MachineLearning-CustomModuleDefinition-App

Last synced: 6 months ago
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Shiny (R) web app for authoring custom modules in Azure ML.

• Host: GitHub
• URL: https://github.com/Azure-Samples/Azure-MachineLearning-CustomModuleDefinition-App
• Owner: Azure-Samples
• License: mit
• Archived: true
• Created: 2015-10-28T16:15:39.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2019-06-28T19:59:55.000Z (almost 6 years ago)
• Last Synced: 2024-08-13T07:13:25.585Z (10 months ago)
• Language: R
• Size: 10.7 KB
• Stars: 9
• Watchers: 96
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

Awesome Lists containing this project

• jimsghstars - Azure-Samples/Azure-MachineLearning-CustomModuleDefinition-App - Shiny (R) web app for authoring custom modules in Azure ML. (R)

README

        
> **NOTE** This content is no longer maintained. Visit the [Azure Machine Learning Notebook](https://github.com/Azure/MachineLearningNotebooks) 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 .