Merge pull request #116528 from sidramadoss/patch-74

Update machine-learning-udf.md

Author: PRMerger9

articles/stream-analytics/machine-learning-udf.md

@@ -12,9 +12,6 @@ ms.date: 03/19/2020
 
 You can implement machine learning models as a user-defined function (UDF) in your Azure Stream Analytics jobs to do real-time scoring and predictions on your streaming input data. [Azure Machine Learning](../machine-learning/overview-what-is-azure-ml.md) allows you to use any popular open-source tool, such as Tensorflow, scikit-learn, or PyTorch, to prep, train, and deploy models.
 
-> [!NOTE]
-> This functionality is in public preview. You can access this feature on the Azure portal only by using the [Stream Analytics portal preview link](https://aka.ms/asaportalpreview). This functionality is also available in the latest version of [Stream Analytics tools for Visual Studio](https://docs.microsoft.com/azure/stream-analytics/stream-analytics-tools-for-visual-studio-install).
-
 ## Prerequisites
 
 Complete the following steps before you add a machine learning model as a function to your Stream Analytics job:
@@ -25,7 +22,7 @@ Complete the following steps before you add a machine learning model as a functi
 
 3. Make sure your web service accepts and returns JSON serialized data.
 
-4. Deploy your model on [Azure Kubernetes Service](../machine-learning/how-to-deploy-and-where.md#choose-a-compute-target) for high-scale production deployments. If the web service is not able to handle the number of requests coming from your job, the performance of your Stream Analytics job will be degraded, which impacts latency. Models deployed on Azure Container Instances are not supported today but will become available in the coming months.
+4. Deploy your model on [Azure Kubernetes Service](../machine-learning/how-to-deploy-and-where.md#choose-a-compute-target) for high-scale production deployments. If the web service is not able to handle the number of requests coming from your job, the performance of your Stream Analytics job will be degraded, which impacts latency. Models deployed on Azure Container Instances are supported only when you use the Azure portal.
 
 ## Add a machine learning model to your job