service_principal_authentication: Manages authentication using a service principle instead of a...

In azuremlsdk: Interface to the 'Azure Machine Learning' 'SDK'

Description

Service Principal authentication is suitable for automated workflows like for CI/CD scenarios. This type of authentication decouples the authentication process from any specific user login, and allows for managed access control.

Usage

service_principal_authentication(
  tenant_id,
  service_principal_id,
  service_principal_password,
  cloud = "AzureCloud"
)

Arguments

tenant_id	The string id of the active directory tenant that the service identity belongs to.
service_principal_id	The service principal ID string.
service_principal_password	The service principal password/key string.
cloud	The name of the target cloud. Can be one of "AzureCloud", "AzureChinaCloud", or "AzureUSGovernment". If no cloud is specified, "AzureCloud" is used.

Value

ServicePrincipalAuthentication object

Examples

Service principal authentication involves creating an App Registration in Azure Active Directory. First, you generate a client secret, and then you grant your service principal role access to your machine learning workspace. Then, you use the ServicePrincipalAuthentication object to manage your authentication flow.

svc_pr_password <- Sys.getenv("AZUREML_PASSWORD")
svc_pr <- service_principal_authentication(tenant_id="my-tenant-id",
                                           service_principal_id="my-application-id",
                                           service_principal_password=svc_pr_password)

ws <- get_workspace("<your workspace name>",
                    "<your subscription ID>",
                    "<your resource group>",
                    auth = svc_pr)

See Also

get_workspace() interactive_login_authentication()

azuremlsdk documentation built on Oct. 23, 2020, 8:22 p.m.