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Merge pull request #212380 from sdgilley/sdg-main-reflinks
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articles/machine-learning/how-to-auto-train-image-models.md

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[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
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[!Notebook-python[] (~/azureml-examples-main/sdk/jobs/automl-standalone-jobs/automl-image-object-detection-task-fridge-items/automl-image-object-detection-task-fridge-items.ipynb?name=search-space-settings)]
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[!Notebook-python[] (~/azureml-examples-v2samplesreorg/sdk/python/jobs/automl-standalone-jobs/automl-image-object-detection-task-fridge-items/automl-image-object-detection-task-fridge-items.ipynb?name=search-space-settings)]
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articles/machine-learning/how-to-manage-workspace.md

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1. [Install the SDK v2](https://aka.ms/sdk-v2-install).
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1. Provide your subscription details
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[!notebook-python[](~/azureml-examples-main/sdk/resources/workspace/workspace.ipynb?name=subscription_id)]
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[!notebook-python[](~/azureml-examples-v2samplesreorg/sdk/python/resources/workspace/workspace.ipynb?name=subscription_id)]
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1. Get a handle to the subscription. `ml_client` will be used in all the Python code in this article.
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[!notebook-python[](~/azureml-examples-main/sdk/resources/workspace/workspace.ipynb?name=ml_client)]
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[!notebook-python[](~/azureml-examples-v2samplesreorg/sdk/python/resources/workspace/workspace.ipynb?name=ml_client)]
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* (Optional) If you have multiple accounts, add the tenant ID of the Azure Active Directory you wish to use into the `DefaultAzureCredential`. Find your tenant ID from the [Azure portal](https://portal.azure.com) under **Azure Active Directory, External Identities**.
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* **Default specification.** By default, dependent resources and the resource group will be created automatically. This code creates a workspace named `myworkspace` and a resource group named `myresourcegroup` in `eastus2`.
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[!notebook-python[](~/azureml-examples-main/sdk/resources/workspace/workspace.ipynb?name=basic_workspace_name)]
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[!notebook-python[](~/azureml-examples-v2samplesreorg/sdk/python/resources/workspace/workspace.ipynb?name=basic_workspace_name)]
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* **Use existing Azure resources**. You can also create a workspace that uses existing Azure resources with the Azure resource ID format. Find the specific Azure resource IDs in the Azure portal or with the SDK. This example assumes that the resource group, storage account, key vault, App Insights, and container registry already exist.
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[!notebook-python[](~/azureml-examples-main/sdk/resources/workspace/workspace.ipynb?name=basic_ex_workspace_name)]
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[!notebook-python[](~/azureml-examples-v2samplesreorg/sdk/python/resources/workspace/workspace.ipynb?name=basic_ex_workspace_name)]
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For more information, see [Workspace SDK reference](/python/api/azure-ai-ml/azure.ai.ml.entities.workspace).
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[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
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[!notebook-python[](~/azureml-examples-main/sdk/resources/workspace/workspace.ipynb?name=basic_private_link_workspace_name)]
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[!notebook-python[](~/azureml-examples-v2samplesreorg/sdk/python/resources/workspace/workspace.ipynb?name=basic_private_link_workspace_name)]
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This class requires an existing virtual network.
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```
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* **From parameters**: There's no need to have a config.json file available if you use this approach.
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[!notebook-python[](~/azureml-examples-main/sdk/resources/workspace/workspace.ipynb?name=ws)]
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[!notebook-python[](~/azureml-examples-v2samplesreorg/sdk/python/resources/workspace/workspace.ipynb?name=ws)]
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If you have problems in accessing your subscription, see [Set up authentication for Azure Machine Learning resources and workflows](how-to-setup-authentication.md), as well as the [Authentication in Azure Machine Learning](https://aka.ms/aml-notebook-auth) notebook.
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[!INCLUDE [sdk v2](../../includes/machine-learning-sdk-v2.md)]
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[!notebook-python[](~/azureml-examples-main/sdk/resources/workspace/workspace.ipynb?name=my_ml_client)]
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[!notebook-python[](~/azureml-examples-main/sdk/resources/workspace/workspace.ipynb?name=ws_name)]
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[!notebook-python[](~/azureml-examples-v2samplesreorg/sdk/python/resources/workspace/workspace.ipynb?name=my_ml_client)]
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[!notebook-python[](~/azureml-examples-v2samplesreorg/sdk/python/resources/workspace/workspace.ipynb?name=ws_name)]
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To get details of a specific workspace:
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[!notebook-python[](~/azureml-examples-main/sdk/resources/workspace/workspace.ipynb?name=ws_location)]
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[!notebook-python[](~/azureml-examples-v2samplesreorg/sdk/python/resources/workspace/workspace.ipynb?name=ws_location)]
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# [Portal](#tab/azure-portal)

articles/machine-learning/tutorial-auto-train-image-models.md

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# [Python SDK](#tab/python)
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[!Notebook-python[] (~/azureml-examples-main/sdk/jobs/automl-standalone-jobs/automl-image-object-detection-task-fridge-items/automl-image-object-detection-task-fridge-items.ipynb?name=limit-settings)]
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[!Notebook-python[] (~/azureml-examples-v2samplesreorg/sdk/python/jobs/automl-standalone-jobs/automl-image-object-detection-task-fridge-items/automl-image-object-detection-task-fridge-items.ipynb?name=limit-settings)]
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