Merge pull request #225766 from Blackmist/fixing-reference-links

prmerger-automator[bot] · web-flow · commit ad4ff09382de · 2023-01-31T18:42:42.000Z
fixing links
diff --git a/articles/machine-learning/how-to-deploy-automl-endpoint.md b/articles/machine-learning/how-to-deploy-automl-endpoint.md
@@ -168,10 +168,10 @@ After you create a deployment, you can score it as described in [Invoke the endp
 If you haven't installed Python SDK v2 yet, please install with this command:
 
 ```azurecli
-pip install --pre azure-ai-ml
+pip install azure-ai-ml
 ```
 
-For more information, see [Install the Azure Machine Learning SDK v2 for Python](/python/api/overview/azure/ml/installv2).
+For more information, see [Install the Azure Machine Learning SDK v2 for Python](/python/api/overview/azure/ai-ml-readme).
 
 ## Put the scoring file in its own directory
 
diff --git a/articles/machine-learning/how-to-devops-machine-learning.md b/articles/machine-learning/how-to-devops-machine-learning.md
@@ -26,7 +26,7 @@ You can use an [Azure DevOps pipeline](/azure/devops/pipelines/) to automate the
 
 This article will teach you how to create an Azure Pipeline that builds and deploys a machine learning model to [Azure Machine Learning](overview-what-is-azure-machine-learning.md). You'll train a scikit-learn linear regression model on the Diabetes dataset.
 
-This tutorial uses [Azure Machine Learning Python SDK v2](/python/api/overview/azure/ml/installv2) and [Azure CLI ML extension v2](/cli/azure/ml). 
+This tutorial uses [Azure Machine Learning Python SDK v2](/python/api/overview/azure/ai-ml-readme) and [Azure CLI ML extension v2](/cli/azure/ml). 
 
 ## Prerequisites
 
diff --git a/articles/machine-learning/how-to-manage-synapse-spark-pool.md b/articles/machine-learning/how-to-manage-synapse-spark-pool.md
@@ -50,7 +50,7 @@ In this article, you will learn how to attach a [Synapse Spark Pool](../synapse-
 - [Create an Azure Synapse Analytics workspace in Azure portal](../synapse-analytics/quickstart-create-workspace.md).
 - [Create an Apache Spark pool using the Azure portal](../synapse-analytics/quickstart-create-apache-spark-pool-portal.md).
 - [Configure your development environment](./how-to-configure-environment.md), or [create an Azure Machine Learning compute instance](./concept-compute-instance.md#create).
-- [Install the Azure Machine Learning SDK for Python](/python/api/overview/azure/ml/installv2).
+- [Install the Azure Machine Learning SDK for Python](/python/api/overview/azure/ai-ml-readme).
 
 ---
 
diff --git a/articles/machine-learning/how-to-schedule-pipeline-job.md b/articles/machine-learning/how-to-schedule-pipeline-job.md
@@ -32,7 +32,7 @@ In this article, you'll learn how to programmatically schedule a pipeline to run
 # [Python SDK](#tab/python)
 
 - Create an Azure Machine Learning workspace if you don't have one.
-- The [Azure Machine Learning SDK v2 for Python](/python/api/overview/azure/ml/installv2).
+- The [Azure Machine Learning SDK v2 for Python](/python/api/overview/azure/ai-ml-readme).
 
 # [studio UI](#tab/ui)
 
diff --git a/articles/machine-learning/how-to-submit-spark-jobs.md b/articles/machine-learning/how-to-submit-spark-jobs.md
@@ -36,7 +36,7 @@ Azure Machine Learning supports submission of standalone machine learning jobs,
 - An Azure subscription; if you don't have an Azure subscription, [create a free account](https://azure.microsoft.com/free) before you begin.
 - An Azure Machine Learning workspace. See [Create workspace resources](./quickstart-create-resources.md).
 - [Configure your development environment](./how-to-configure-environment.md), or [create an Azure Machine Learning compute instance](./concept-compute-instance.md#create).
-- [Install the Azure Machine Learning SDK for Python](/python/api/overview/azure/ml/installv2).
+- [Install the Azure Machine Learning SDK for Python](/python/api/overview/azure/ai-ml-readme).
 - [(Optional): An attached Synapse Spark pool in the Azure Machine Learning workspace](./how-to-manage-synapse-spark-pool.md).
 
 # [Studio UI](#tab/ui)
@@ -339,7 +339,7 @@ To create a standalone Spark job, use the `azure.ai.ml.spark` function, with the
 You can submit a standalone Spark job from:
 - an Azure Machine Learning Notebook connected to an Azure Machine Learning compute instance. 
 - [Visual Studio Code connected to an Azure Machine Learning compute instance](./how-to-set-up-vs-code-remote.md?tabs=studio).
-- your local computer that has [the Azure Machine Learning SDK for Python](/python/api/overview/azure/ml/installv2) installed.
+- your local computer that has [the Azure Machine Learning SDK for Python](/python/api/overview/azure/ai-ml-readme) installed.
 
 This Python code snippet shows the creation of a standalone Spark job, with an Azure Machine Learning Managed (Automatic) Spark compute, using user identity.
 
@@ -615,7 +615,7 @@ To create an Azure Machine Learning pipeline with a Spark component, you should
 You can submit a pipeline job with a Spark component from:
 - an Azure Machine Learning Notebook connected to an Azure Machine Learning compute instance. 
 - [Visual Studio Code connected to an Azure Machine Learning compute instance](./how-to-set-up-vs-code-remote.md?tabs=studio).
-- your local computer that has [the Azure Machine Learning SDK for Python](/python/api/overview/azure/ml/installv2) installed.
+- your local computer that has [the Azure Machine Learning SDK for Python](/python/api/overview/azure/ai-ml-readme) installed.
 
 This Python code snippet shows use of a managed identity, together with the creation of an Azure Machine Learning pipeline job. Additionally, it shows use of a Spark component and an Azure Machine Learning Managed (Automatic) Synapse compute:
 
diff --git a/articles/machine-learning/how-to-troubleshoot-online-endpoints.md b/articles/machine-learning/how-to-troubleshoot-online-endpoints.md
@@ -34,7 +34,7 @@ The section [HTTP status codes](#http-status-codes) explains how invocation and
 * An **Azure subscription**. Try the [free or paid version of Azure Machine Learning](https://azure.microsoft.com/free/).
 * The [Azure CLI](/cli/azure/install-azure-cli).
 * For Azure Machine Learning CLI v2, see [Install, set up, and use the CLI (v2)](how-to-configure-cli.md).
-* For Azure Machine Learning Python SDK v2, see [Install the Azure Machine Learning SDK v2 for Python](/python/api/overview/azure/ml/installv2).
+* For Azure Machine Learning Python SDK v2, see [Install the Azure Machine Learning SDK v2 for Python](/python/api/overview/azure/ai-ml-readme).
 
 ## Deploy locally
 
diff --git a/articles/machine-learning/migrate-to-v2-execution-parallel-run-step.md b/articles/machine-learning/migrate-to-v2-execution-parallel-run-step.md
@@ -32,7 +32,7 @@ This article gives a comparison of scenario(s) in SDK v1 and SDK v2. In the foll
 
 ## Prerequisites
 
- - Prepare your SDK v2 environment: [Install the Azure ML SDK v2 for Python](/python/api/overview/azure/ml/installv2)
+ - Prepare your SDK v2 environment: [Install the Azure ML SDK v2 for Python](/python/api/overview/azure/ai-ml-readme)
  - Understand the basis of SDK v2 pipeline: [How to create Azure ML pipeline with Python SDK v2](how-to-create-component-pipeline-python.md)
 
 
diff --git a/articles/machine-learning/quickstart-spark-jobs.md b/articles/machine-learning/quickstart-spark-jobs.md
@@ -42,13 +42,13 @@ In this quickstart guide, you'll learn how to submit a Spark job using Azure Mac
 - An Azure Machine Learning workspace. See [Create workspace resources](./quickstart-create-resources.md).
 - An Azure Data Lake Storage (ADLS) Gen 2 storage account. See [Create an Azure Data Lake Storage (ADLS) Gen 2 storage account](../storage/blobs/create-data-lake-storage-account.md).
 - [Configure your development environment](./how-to-configure-environment.md), or [create an Azure Machine Learning compute instance](./concept-compute-instance.md#create).
-- [Install Azure Machine Learning SDK for Python](/python/api/overview/azure/ml/installv2).
+- [Install Azure Machine Learning SDK for Python](/python/api/overview/azure/ai-ml-readme).
 
 > [!TIP]
 > You can submit a Spark job from:
 >  - an Azure Machine Learning Notebook connected to an Azure Machine Learning compute instance. 
 >  - [Visual Studio Code connected to an Azure Machine Learning compute instance](./how-to-set-up-vs-code-remote.md?tabs=studio).
->  - your local computer that has [the Azure Machine Learning SDK for Python](/python/api/overview/azure/ml/installv2) installed.
+>  - your local computer that has [the Azure Machine Learning SDK for Python](/python/api/overview/azure/ai-ml-readme) installed.
 
 # [Studio UI](#tab/studio-ui)
 - An Azure subscription; if you don't have an Azure subscription, [create a free account](https://azure.microsoft.com/free) before you begin.
