CODEWITHSUNDEEP
pythonazureazure-machine-learning-serviceazureml-python-sdk
user14736700
user14736700

Reputation:

Please set the default workspace with MLClient

Getting error "Please set the default workspace with MLClient". How do I set the default workspace with MLClient? Trying to use data asset 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)

Upvotes: 0

Views: 3523

Answers (2)

Bala P V
Bala P V

Reputation: 1

I recommend to replace <SUBSCRIPTION_ID>, <RESOURCE_GROUP> and <AZUREML_WORKSPACE_NAME> with actual values.
If you do that, the MLClient constructor will set the workspace accordingly.

Upvotes: 0

Ecstasy
Ecstasy

Reputation: 1864

Getting error "Please set the default workspace with MLClient". How do I set the default workspace with MLClient?

Make sure you have installed Python SDK azure-ai-ml v2(preview) using pip install --pre azure-ai-ml

You can try following code snippets taken from workspace.ipynb to set the default workspace with MLClient:

Import required libraries:

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)

Creating a unique workspace name with current datetime to avoid conflicts:

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)

Get a list of workspaces in a resource group:

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

Load a specific workspace using parameters:

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

Upvotes: 1

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