endpoints: List AzureML Web Service Endpoints

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

Description

Return a list of web services endpoints for the specified web service id.

Usage

endpoints(ws, service_id, endpoint_id, host = ws$.management_endpoint)

getEndpoints(ws, service_id, endpoint_id, host = ws$.management_endpoint)

Arguments

ws	An AzureML workspace reference returned by workspace.
service_id	A web service Id, for example returned by services; alternatively a row from the services data frame identifying the service.
endpoint_id	An optional endpoint id. If supplied, return the endpoint information for just that id. Leave undefined to return a data.frame of all end points associated with the service.
host	The AzureML web services URI

Value

Returns a data.frame with variables:

• Name

• Description

• CreationTime

• WorkspaceId

• WebServiceId

• HelpLocation

• PrimaryKey

• SecondaryKey

• ApiLocation

• Version

• MaxConcurrentCalls

• DiagnosticsTraceLevel

• ThrottleLevel

Each row of the data.frame corresponds to an end point.

Note

getEndPoints is an alias for endpoints.

See Also

Other discovery functions: discoverSchema, endpointHelp, services, workspace

Examples

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

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

s <- services(ws)
endpoints(ws, s$Id[1])

# Note that you can alternatively just use the entire row that
# describes the service.
endpoints(ws, s[1,])

# Equivalent:
getEndpoints(ws, s$Id[1])

## End(Not run)

RevolutionAnalytics/AzureML documentation built on July 28, 2019, 4:50 a.m.