Uppgradera arbetsytehantering till SDK v2

Arbetsytan förblir oförändrad med V2-utvecklingsplattformen. Det finns dock nätverksrelaterade ändringar att känna till. Mer information finns i Ändra nätverksisolering med vår nya API-plattform på Azure Resource Manager

Den här artikeln ger en jämförelse av scenarion i SDK v1 och SDK v2.

Skapa en arbetsyta

  • SDK v1

    from azureml.core import Workspace
    
    ws = Workspace.create(
        name='my_workspace',
        location='eastus',
        subscription_id = '<SUBSCRIPTION_ID>'
        resource_group = '<RESOURCE_GROUP>'
    )
    
  • SDK v2

    from azure.ai.ml import MLClient
    from azure.ai.ml.entities import Workspace
    from azure.identity import DefaultAzureCredential
    
    # specify the details of your subscription
    subscription_id = "<SUBSCRIPTION_ID>"
    resource_group = "<RESOURCE_GROUP>"
    
    # get a handle to the subscription
    ml_client = MLClient(DefaultAzureCredential(), subscription_id, resource_group)
    
    # specify the workspace details
    ws = Workspace(
        name="my_workspace",
        location="eastus",
        display_name="My workspace",
        description="This example shows how to create a workspace",
        tags=dict(purpose="demo"),
    )
    
    ml_client.workspaces.begin_create(ws)
    
  • SDK v1

    from azureml.core import Workspace
    
    ws = Workspace.create(
        name='my_workspace',
        location='eastus',
        subscription_id = '<SUBSCRIPTION_ID>'
        resource_group = '<RESOURCE_GROUP>'
    )
    
    ple = PrivateEndPointConfig(
        name='my_private_link_endpoint',
        vnet_name='<VNET_NAME>',
        vnet_subnet_name='<VNET_SUBNET_NAME>',
        vnet_subscription_id='<SUBSCRIPTION_ID>', 
        vnet_resource_group='<RESOURCE_GROUP>'
    )
    
    ws.add_private_endpoint(ple, private_endpoint_auto_approval=True)
    
  • SDK v2

    from azure.ai.ml import MLClient
    from azure.ai.ml.entities import Workspace
    from azure.identity import DefaultAzureCredential
    
    # specify the details of your subscription
    subscription_id = "<SUBSCRIPTION_ID>"
    resource_group = "<RESOURCE_GROUP>"
    
    # get a handle to the subscription
    ml_client = MLClient(DefaultAzureCredential(), subscription_id, resource_group)
    
    ws = Workspace(
        name="private_link_endpoint_workspace,
        location="eastus",
        display_name="Private Link endpoint workspace",
        description="When using private link, you must set the image_build_compute property to a cluster name to use for Docker image environment building. You can also specify whether the workspace should be accessible over the internet.",
        image_build_compute="cpu-compute",
        public_network_access="Disabled",
        tags=dict(purpose="demonstration"),
    )
    
    ml_client.workspaces.begin_create(ws)
    

Läsa in/ansluta till arbetsytan med hjälp av parametrar

  • SDK v1

    from azureml.core import Workspace
    ws = Workspace.from_config()
    
    # specify the details of your subscription
    subscription_id = "<SUBSCRIPTION_ID>"
    resource_group = "<RESOURCE_GROUP>"
    
    # get handle on the workspace
    ws = Workspace.get(
        subscription_id='<SUBSCRIPTION_ID>',
        resource_group='<RESOURCE_GROUP>',
        name='my_workspace',
    )
    
  • SDK v2

    from azure.ai.ml import MLClient
    from azure.ai.ml.entities import Workspace
    from azure.identity import DefaultAzureCredential
    
    # specify the details of your subscription
    subscription_id = "<SUBSCRIPTION_ID>"
    resource_group = "<RESOURCE_GROUP>"
    
    # get handle on the workspace
    ws = MLClient(
        DefaultAzureCredential(),
        subscription_id='<SUBSCRIPTION_ID>',
        resource_group_name='<RESOURCE_GROUP>',
        workspace_name='my_workspace'
    )
    

Läsa in/ansluta till arbetsytan med hjälp av konfigurationsfilen

  • SDK v1

    from azureml.core import Workspace
    
    ws = Workspace.from_config()
    ws.get_details()
    
  • SDK v2

    from azure.ai.ml import MLClient
    from azure.ai.ml.entities import Workspace
    from azure.identity import DefaultAzureCredential
    
    ws = MLClient.from_config(
        DefaultAzureCredential()
    )
    

Mappning av viktiga funktioner i SDK v1 och SDK v2

Funktioner i SDK v1 Grov mappning i SDK v2
Metod/API i SDK v1 (använd länkar för att referera till dokument) Metod/API i SDK v2 (använd länkar för att referera till dokument)

Mer information finns i: