interactive_login_authentication: Manages authentication and acquires an authorization token in...

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

Description

Interactive login authentication is suitable for local experimentation on your own computer, and is the default authentication model when using Azure Machine Learning SDK. The constructor of the class will prompt you to login. The constructor then will save the credentials for any subsequent attempts. If you are already logged in with the Azure CLI or have logged-in before, the constructor will load the existing credentials without prompt.

Usage

interactive_login_authentication(
  force = FALSE,
  tenant_id = NULL,
  cloud = "AzureCloud"
)

Arguments

force	Indicates whether "az login" will be run even if the old "az login" is still valid.
tenant_id	The string id of the active directory tenant that the service identity belongs to. This is can be used to specify a specific tenant when you have access to multiple tenants. If unspecified, the default tenant will be used.
cloud	The name of the target cloud. Can be one of "AzureCloud", "AzureChinaCloud", or "AzureUSGovernment". If no cloud is specified, "AzureCloud" is used.

Value

InteractiveLoginAuthentication object

Examples

interactive_auth <- interactive_login_authentication(tenant_id="your-tenant-id")

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

See Also

get_workspace() service_principal_authentication()

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