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Atualizar o gerenciamento do espaço de trabalho para o SDK v2

  • Artigo

O espaço de trabalho funcionalmente permanece inalterado com a plataforma de desenvolvimento V2. No entanto, há mudanças relacionadas à rede a serem observadas. Para obter detalhes, consulte Alteração de isolamento de rede com nossa nova plataforma de API no Azure Resource Manager

Este artigo fornece uma comparação de cenário(s) no SDK v1 e SDK v2.

Criar uma área de trabalho

  • 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)

Carregar/conectar ao espaço de trabalho usando parâmetros

  • 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'
)

Carregar/conectar ao espaço de trabalho usando o arquivo de configuração

  • 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()
)

Mapeamento das principais funcionalidades no SDK v1 e SDK v2

Funcionalidade no SDK v1 Mapeamento aproximado no SDK v2
Método/API no SDK v1 (use links para ref docs) Método/API no SDK v2 (use links para ref docs)

Para obter mais informações, consulte: