Workspace Class

Azure ML workspace.

Creating a Workspace object.

   from azure.ai.ml.entities import Workspace

   ws = Workspace(name="sample-ws", location="eastus", description="a sample workspace object")

Inheritance

azure.ai.ml.entities._resource.Resource

Workspace

Constructor

Workspace(*, name: str, description: str | None = None, tags: Dict[str, str] | None = None, display_name: str | None = None, location: str | None = None, resource_group: str | None = None, hbi_workspace: bool = False, storage_account: str | None = None, container_registry: str | None = None, key_vault: str | None = None, application_insights: str | None = None, customer_managed_key: CustomerManagedKey | None = None, image_build_compute: str | None = None, public_network_access: str | None = None, identity: IdentityConfiguration | None = None, primary_user_assigned_identity: str | None = None, managed_network: ManagedNetwork | None = None, enable_data_isolation: bool = False, workspace_hub: str | None = None, serverless_compute: ServerlessComputeSettings | None = None, **kwargs: Any)

Parameters

Name	Description
name Required	str Name of the workspace.
description Required	str Description of the workspace.
tags Required	dict Tags of the workspace.
display_name Required	str Display name for the workspace. This is non-unique within the resource group.
location Required	str The location to create the workspace in. If not specified, the same location as the resource group will be used.
resource_group Required	str Name of resource group to create the workspace in.
hbi_workspace Required	bool Whether the customer data is of high business impact (HBI), containing sensitive business information. For more information, see https://docs.microsoft.com/azure/machine-learning/concept-data-encryption#encryption-at-rest.
storage_account Required	str The resource ID of an existing storage account to use instead of creating a new one.
container_registry Required	str The resource ID of an existing container registry to use instead of creating a new one.
key_vault Required	str The resource ID of an existing key vault to use instead of creating a new one.
application_insights Required	str The resource ID of an existing application insights to use instead of creating a new one.
customer_managed_key Required	CustomerManagedKey Key vault details for encrypting data with customer-managed keys. If not specified, Microsoft-managed keys will be used by default.
image_build_compute Required	str The name of the compute target to use for building environment Docker images with the container registry is behind a VNet.
public_network_access Required	str Whether to allow public endpoint connectivity when a workspace is private link enabled.
identity Required	IdentityConfiguration workspace's Managed Identity (user assigned, or system assigned)
primary_user_assigned_identity Required	str The workspace's primary user assigned identity
managed_network Required	ManagedNetwork workspace's Managed Network configuration
enable_data_isolation Required	bool A flag to determine if workspace has data isolation enabled. The flag can only be set at the creation phase, it can't be updated.
workspace_hub Required	str The resource ID of an existing workspace hub to help create project workspace
serverless_compute Required	The serverless compute settings for the workspace.
kwargs Required	dict A dictionary of additional configuration parameters.

Keyword-Only Parameters

Name	Description
name Required
description Required
tags Required
display_name Required
location Required
resource_group Required
hbi_workspace Required
storage_account Required
container_registry Required
key_vault Required
application_insights Required
customer_managed_key Required
image_build_compute Required
public_network_access Required
identity Required
primary_user_assigned_identity Required
managed_network Required
enable_data_isolation Required
workspace_hub Required
serverless_compute Required

Methods

dump	Dump the workspace spec into a file in yaml format.

dump

Dump the workspace spec into a file in yaml format.

dump(dest: str | PathLike | IO, **kwargs: Any) -> None

Parameters

Name	Description
dest Required	Union[<xref:PathLike>, str, IO[AnyStr]] The destination to receive this workspace's spec. Must be either a path to a local file, or an already-open file stream. If dest is a file path, a new file will be created, and an exception is raised if the file exists. If dest is an open file, the file will be written to directly, and an exception will be raised if the file is not writable.

Attributes

base_path

The base path of the resource.

Returns

Type	Description
str	The base path of the resource.

creation_context

The creation context of the resource.

Returns

Type	Description
Optional[SystemData]	The creation metadata for the resource.

discovery_url

Backend service base URLs for the workspace.

Returns

Type	Description
str	Backend service URLs of the workspace

id

The resource ID.

Returns

Type	Description
Optional[str]	The global ID of the resource, an Azure Resource Manager (ARM) ID.

mlflow_tracking_uri

MLflow tracking uri for the workspace.

Returns

Type	Description
str	Returns mlflow tracking uri of the workspace.