Bug bash instructions

First things first

1. Getting started

To install the package directly from github, use:

# Install devtools
if(!require("devtools")) install.packages("devtools")
devtools::install_github("RevolutionAnalytics/AzureML")

2. Find your AzureML credentials

To use any of the functions, you need your AzureML credentials. To find these, read the vignette Getting Started with the AzureML Package.

You will need these credentials to use the function workspace(). This function sets up your credentials in R and allows you to use all of the other functions in the package.

3. Create a json file with your credentials

The easiest way to use the workspace() function is to create a json file in the location ~/.azureml/settings.json

Copy the following and modify with your own credentials:

{"workspace":{
"id"                  : "Add your id here",
"authorization_token" : "Add your authorisation token here",
"api_endpoint"        : "",
"management_endpoint" : ""
}}

Then save the file at ~/.azureml/settings.json. On windows, save the file at C:\Users\<yourname>\Documents\.azureml

If you have any doubt as to the location of `~/", try:

> path.expand("~/")
[1] "C:/Users/adevries/Documents/"

Work with AzureML datasets

4. Download an AzureML dataset to your workspace

Try:

• Read the help for ?workspace, ?datasets and ?download.datasets
• Create a workspace object
• Getting a listing of available datasets in your workspace
• Download a specific dataset from AzureML as a data frame

ws <- workspace()
d <- datasets(ws)
dat <- download.datasets(d, "Movie Ratings")
head(dat)

Publish an R script as an AzureML API endpoint

4. Publish an API endpoint

You can publish any R function as an API endpoint in AzureML.

• Read the help for ?publish