Removing (preview) tags from cli and python SDK (Azure#1784)

vrxmike · Oct 20, 2022 · 0a99aea · 0a99aea
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diff --git a/cli/README.md b/cli/README.md
@@ -7,7 +7,7 @@ products:
 description: Top-level directory for official Azure Machine Learning CLI sample code.
 ---
 
-# Azure Machine Learning CLI (v2) (preview) examples
+# Azure Machine Learning CLI (v2) examples
 
 [![cleanup](https://github.com/Azure/azureml-examples/workflows/cleanup-cli/badge.svg)](https://github.com/Azure/azureml-examples/actions/workflows/cleanup-cli.yml)
 [![code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

diff --git a/cli/prefix.md b/cli/prefix.md
@@ -7,7 +7,7 @@ products:
 description: Top-level directory for official Azure Machine Learning CLI sample code.
 ---
 
-# Azure Machine Learning CLI (v2) (preview) examples
+# Azure Machine Learning CLI (v2) examples
 
 [![cleanup](https://github.com/Azure/azureml-examples/workflows/cleanup-cli/badge.svg)](https://github.com/Azure/azureml-examples/actions/workflows/cleanup-cli.yml)
 [![code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

diff --git a/sdk/python/README.md b/sdk/python/README.md
@@ -7,21 +7,11 @@ products:
 description: Top-level directory for official Azure Machine Learning Python SDK v2 sample code.
 ---
 
-# Azure Machine Learning SDK (v2) (preview) examples
+# Azure Machine Learning SDK (v2) examples
 
 [![code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 [![license: MIT](https://img.shields.io/badge/License-MIT-purple.svg)](../LICENSE)
 
-## Public Preview
-
-We are excited to introduce the public preview of Azure Machine Learning **Python SDK v2**.
-
-Please note that this Public Preview release is subject to the [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
-
-## How can I provide feedback?
-
-If you are facing any issues while using the new feature, please reach out to [Azure ML SDK feedback](mailto:[email protected]). For general feedback, please submit an [GitHub issue](https://github.com/Azure/azure-sdk-for-python/issues/new/choose).
-
 ## Prerequisites
 
 1. An Azure subscription. If you don't have an Azure subscription, [create a free account](https://aka.ms/AMLFree) before you begin.
@@ -31,9 +21,7 @@ If you are facing any issues while using the new feature, please reach out to [A
 1. Install the SDK v2
 
 ```terminal
-pip uninstall azure-ai-ml
-
-pip install --pre azure-ai-ml
+pip install azure-ai-ml
 ```
 
 ## Clone examples repository
@@ -44,6 +32,7 @@ cd azureml-examples/sdk/python
 ```
 
 ## Examples available
+
 Test Status is for branch - **_main_**
 |Area|Sub-Area|Notebook|Description|Status|
 |--|--|--|--|--|

diff --git a/sdk/python/endpoints/online/kubernetes/kubernetes-online-endpoints-safe-rollout.ipynb b/sdk/python/endpoints/online/kubernetes/kubernetes-online-endpoints-safe-rollout.ipynb
@@ -14,7 +14,7 @@
    "metadata": {},
    "source": [
     "### Requirements - In order to benefit from this tutorial, you will need:\n",
-    "- This sample notebook assumes you're using online endpoints; for more information, see [What are Azure Machine Learning endpoints (preview)?](https://docs.microsoft.com/azure/machine-learning/concept-endpoints).\n",
+    "- This sample notebook assumes you're using online endpoints; for more information, see [What are Azure Machine Learning endpoints?](https://docs.microsoft.com/azure/machine-learning/concept-endpoints).\n",
     "- An Azure account with an active subscription. [Create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F)\n",
     "- An Azure ML workspace. [Check this notebook for creating a workspace](/sdk/resources/workspace/workspace.ipynb)\n",
     "- Installed Azure Machine Learning Python SDK v2 - [install instructions](/sdk/README.md#getting-started)"

diff --git a/sdk/python/endpoints/online/kubernetes/kubernetes-online-endpoints-simple-deployment.ipynb b/sdk/python/endpoints/online/kubernetes/kubernetes-online-endpoints-simple-deployment.ipynb
@@ -8,7 +8,7 @@
     "\n",
     "Learn how to use an online endpoint to deploy your model, so you don't have to create and manage the underlying infrastructure. You'll begin by deploying a model on your local machine to debug any errors, and then you'll deploy and test it in Azure.\n",
     "\n",
-    "For more information, see [What are Azure Machine Learning endpoints (preview)?](https://docs.microsoft.com/azure/machine-learning/concept-endpoints)."
+    "For more information, see [What are Azure Machine Learning endpoints?](https://docs.microsoft.com/azure/machine-learning/concept-endpoints)."
    ]
   },
   {

diff --git a/sdk/python/endpoints/online/managed/online-endpoints-safe-rollout.ipynb b/sdk/python/endpoints/online/managed/online-endpoints-safe-rollout.ipynb
@@ -14,7 +14,7 @@
    "metadata": {},
    "source": [
     "### Requirements - In order to benefit from this tutorial, you will need:\n",
-    "- This sample notebook assumes you're using online endpoints; for more information, see [What are Azure Machine Learning endpoints (preview)?](https://docs.microsoft.com/azure/machine-learning/concept-endpoints).\n",
+    "- This sample notebook assumes you're using online endpoints; for more information, see [What are Azure Machine Learning endpoints?](https://docs.microsoft.com/azure/machine-learning/concept-endpoints).\n",
     "- An Azure account with an active subscription. [Create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F)\n",
     "- An Azure ML workspace with computer cluster - [Configure workspace](../../jobs/configuration.ipynb)\n",
     "- Installed Azure Machine Learning Python SDK v2 - [install instructions](../../README.md) - check the getting started section"
@@ -388,7 +388,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# 8. Test the deployment with mirrored traffic (preview)\n",
+    "# 8. Test the deployment with mirrored traffic\n",
     "Once you've tested your `green` deployment, you can copy (or 'mirror') a percentage of the live traffic to it. Mirroring traffic doesn't change results returned to clients. Requests still flow 100% to the blue deployment. The mirrored percentage of the traffic is copied and submitted to the `green` deployment so you can gather metrics and logging without impacting your clients. Mirroring is useful when you want to validate a new deployment without impacting clients. For example, to check if latency is within acceptable bounds and that there are no HTTP errors."
    ]
   },

diff --git a/sdk/python/endpoints/online/managed/online-endpoints-simple-deployment.ipynb b/sdk/python/endpoints/online/managed/online-endpoints-simple-deployment.ipynb
@@ -10,7 +10,7 @@
     "\n",
     "Managed online endpoints help to deploy your ML models in a turnkey manner. Managed online endpoints work with powerful CPU and GPU machines in Azure in a scalable, fully managed way. Managed online endpoints take care of serving, scaling, securing, and monitoring your models, freeing you from the overhead of setting up and managing the underlying infrastructure. \n",
     "\n",
-    "For more information, see [What are Azure Machine Learning endpoints (preview)?](https://docs.microsoft.com/azure/machine-learning/concept-endpoints)."
+    "For more information, see [What are Azure Machine Learning endpoints?](https://docs.microsoft.com/azure/machine-learning/concept-endpoints)."
    ]
   },
   {

diff --git a/sdk/python/endpoints/online/mlflow/online-endpoints-deploy-mlflow-model.ipynb b/sdk/python/endpoints/online/mlflow/online-endpoints-deploy-mlflow-model.ipynb
@@ -13,7 +13,7 @@
    "metadata": {},
    "source": [
     "### Requirements - In order to benefit from this tutorial, you will need:\n",
-    "- This sample notebook assumes you're using online endpoints; for more information, see [What are Azure Machine Learning endpoints (preview)?](https://docs.microsoft.com/azure/machine-learning/concept-endpoints).\n",
+    "- This sample notebook assumes you're using online endpoints; for more information, see [What are Azure Machine Learning endpoints?](https://docs.microsoft.com/azure/machine-learning/concept-endpoints).\n",
     "- An Azure account with an active subscription. [Create an account for free](https://azure.microsoft.com/free/?WT.mc_id=A261C142F)\n",
     "- An Azure ML workspace with computer cluster - [Configure workspace](../../jobs/configuration.ipynb)\n",
     "- Installed Azure Machine Learning Python SDK v2 - [install instructions](../../README.md) - check the getting started section"

diff --git a/sdk/python/prefix.md b/sdk/python/prefix.md
@@ -7,21 +7,11 @@ products:
 description: Top-level directory for official Azure Machine Learning Python SDK v2 sample code.
 ---
 
-# Azure Machine Learning SDK (v2) (preview) examples
+# Azure Machine Learning SDK (v2) examples
 
 [![code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 [![license: MIT](https://img.shields.io/badge/License-MIT-purple.svg)](../LICENSE)
 
-## Public Preview
-
-We are excited to introduce the public preview of Azure Machine Learning **Python SDK v2**.
-
-Please note that this Public Preview release is subject to the [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
-
-## How can I provide feedback?
-
-If you are facing any issues while using the new feature, please reach out to [Azure ML SDK feedback](mailto:[email protected]). For general feedback, please submit an [GitHub issue](https://github.com/Azure/azure-sdk-for-python/issues/new/choose).
-
 ## Prerequisites
 
 1. An Azure subscription. If you don't have an Azure subscription, [create a free account](https://aka.ms/AMLFree) before you begin.
@@ -31,9 +21,7 @@ If you are facing any issues while using the new feature, please reach out to [A
 1. Install the SDK v2
 
 ```terminal
-pip uninstall azure-ai-ml
-
-pip install --pre azure-ai-ml
+pip install azure-ai-ml
 ```
 
 ## Clone examples repository
-Original file line number
+Diff line change
@@ Expand Up / @@ -8,7 +8,7 @@ @@
         "\n",
         "Learn how to use an online endpoint to deploy your model, so you don't have to create and manage the underlying infrastructure. You'll begin by deploying a model on your local machine to debug any errors, and then you'll deploy and test it in Azure.\n",
         "\n",
-        "For more information, see [What are Azure Machine Learning endpoints (preview)?](https://docs.microsoft.com/azure/machine-learning/concept-endpoints)."
+        "For more information, see [What are Azure Machine Learning endpoints?](https://docs.microsoft.com/azure/machine-learning/concept-endpoints)."
        ]
       },
       {
@@ Expand Down @@