services: List Available Web Services.

In AzureML: Interface with Azure Machine Learning Datasets, Experiments and Web Services

Description

Return a list of web services available to the specified Microsoft Azure Machine Learning workspace. The result is cached in the workspace environment similarly to datasets and experiments.

Usage

services(ws, service_id, name, host = ws$.management_endpoint)

getWebServices(ws, service_id, name, host = ws$.management_endpoint)

Arguments

ws	An AzureML workspace reference returned by workspace.
service_id	optional web service id. If supplied, return the web service information for just the specified service id. Leave undefined to return a data.frame of all services.
name	optional web service name. If supplied, return the web service information for services with matching names. Leave undefined to return all services.
host	the AzureML web services URI

Value

Returns a data.frame with variables:

• Id

• Name

• Description

• CreationTime

• WorkspaceId

• DefaultEndpointName

Each row of the returned data.frame corresponds to a service.

Note

getWebServices is an alias for services.

See Also

Other discovery functions: discoverSchema, endpointHelp, endpoints, workspace

Examples

## Not run: 
workspace_id <- ""          # Your AzureML workspace id
authorization_token <- ""   # Your AzureML authorization token

ws <- workspace(
  id = workspace_id,
  auth = authorization_token
)

# Equivalent:
services(ws)
getWebServices(ws)

## End(Not run)

AzureML documentation built on July 28, 2019, 1:02 a.m.