请使用MLClient设置默认工作区

Question

获取错误“请设置默认工作空间与MLClient”。如何使用MLClient设置默认工作区？尝试使用数据资产https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-register-data-assets?tabs=Python-SDK

from azure.ai.ml.entities import Data
from azure.ai.ml.constants import AssetTypes
from azure.ai.ml import MLClient

#Enter details of your AzureML workspace
subscription_id = "<SUBSCRIPTION_ID>"
resource_group = "<RESOURCE_GROUP>"
workspace = "<AZUREML_WORKSPACE_NAME>"
ml_client = MLClient(subscription_id, resource_group, workspace)
data_location='path'

my_data = Data(
    path=data_loacation,
    type=AssetTypes.URI_FOLDER,
    description="Data",
    name="Data_test")

ml_client.data.create_or_update(my_data)

Answer 1

获取错误“请设置默认工作空间与MLClient”。如何使用MLClient设置默认工作区？

确保已经使用Python SDK azure-ai-ml v2(preview)安装了pip install --pre azure-ai-ml

您可以尝试按照从workspace.ipynb获取的代码片段来使用MLClient设置默认工作区：

导入所需库

from azure.ai.ml import MLClient
from azure.ai.ml.entities import Workspace
from azure.identity import DefaultAzureCredential

ml_client = MLClient(DefaultAzureCredential(), subscription_id, resource_group)

创建具有当前日期时间的唯一工作区名称，以避免冲突

import datetime

basic_workspace_name = "mlw-basic-prod-" + datetime.datetime.now().strftime(
    "%Y%m%d%H%M"
)

ws_basic = Workspace(
    name=basic_workspace_name,
    location="eastus",
    display_name="Basic workspace-example",
    description="This example shows how to create a basic workspace",
    hbi_workspace=False,
    tags=dict(purpose="demo"),
)
ml_client.workspaces.begin_create(ws_basic)

在资源组中获取工作区列表

for ws in my_ml_client.workspaces.list():
    print(ws.name, ":", ws.location, ":", ws.description)

使用参数加载特定的工作区

ws = MLClient(DefaultAzureCredential(), subscription_id='<SUBSCRIPTION_ID>', resource_group_name='<RESOURCE_GROUP>', workspace_name='<AML_WORKSPACE_NAME>')