AzureML (version 0.1.1)

AzureML-package: Discover, publish and consume Microsoft Azure Web Services

Description

This package implements an interface with Microsoft Azure Machine Learning, allowing you to publish a function, e.g. a prediction function using a trained machine learning model, as a web service from which it can be utilized by users on Visual Studio, Excel, etc., or consumed within R itself. You are also able to access pre-existing web service endpoints to consume directly from R.

Finding the workspace ID and authorization token

All functions require a workspace ID (wsID) and authorization token (authToken). You can find these on the settings tab of https://studio.azureml.net, but users can make a temporary free account at https://azure.microsoft.com/en-us/pricing/free-trial/. For more information, see: https://github.com/Azure/Azure-MachineLearning-ClientLibrary-R or refer to the vignette included in this package.

Summary of functions

1. Discovery

• Get web services:getWebServices
• Get web service detailsgetWSDetails
• Get endpoints:getEndpoints
• Get endpoint details:getEPDetails

2. Publish

• Publish a new web service:publishWebService
• Update an existing web service:updateWebService

3. Consume

• Discover web service schema:discoverSchema
• Score a file:consumeFile
• Score a dataframe:consumeDataframe
• Score data as lists:consumeLists