azuremlService: Make a POST request to AzureML service and parse the reponse

In MangoTheCat/azuremlweb: Call an AzureML web service

Description

Make a POST request to AzureML service and parse the reponse

Usage

azuremlService(datasets, url = NULL, region = "ussouthcentral",
  workspace = NULL, service = NULL, auth = NULL, details = TRUE)

Arguments

datasets	A named list of data frames to send to the web service. The names must match the names of the web inputs in Azure, eg. list(WebInput = data.frame(x=1, y=2))
url	If you supply the full URL then other options are not required
region	The Azure region, such as ussouthcentral, europewest
workspace	The workspace ID
service	The service ID
auth	Authentication token. Careful not to save this anywhere and check your .Rhistory
details	Logical. If FALSE then column types are omitted from the response

Value

An httr response object

Examples

## Not run: 
azuremlService(list(WebInput = data.frame(x=1:5, y=LETTERS[1:5])),
               region = "ussouthcentral",
               workspace = "8550bbba99572fc47e18e5fdd53e43e2",
               service = "4e7ebd7ad816cd9dd1cb1b17c4cdb0c7",
               auth = "xxxxxxxxxxxx==")

## End(Not run)

MangoTheCat/azuremlweb documentation built on May 8, 2019, 4:37 p.m.