Merge pull request #109093 from garyericson/03-25-emphasize-preview-note

ASQLML: Added preview note to all preview articles

Author: PRMerger12

articles/sql-database/sql-database-machine-learning-services-data-issues.md

@@ -19,15 +19,15 @@ ms.date: 04/11/2019
 
 This article discusses some of the common issues you may encounter when moving data between R and SQL Database in [Machine Learning Services (with R) in Azure SQL Database](sql-database-machine-learning-services-overview.md). The experience you gain through this exercise provides essential background when working with data in your own script.
 
+[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
+
 Common issues that you may encounter include:
 
 - Data types sometimes don't match
 - Implicit conversions might take place
 - Cast and convert operations are sometimes required
 - R and SQL use different data objects
 
-[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
-
 ## Prerequisites
 
 - If you don't have an Azure subscription, [create an account](https://azure.microsoft.com/free/) before you begin.
@@ -97,15 +97,15 @@ Now, review the text in **Messages** to see why the output is different.
 
 ```text
 STDOUT message(s) from external script:
-'data.frame':	3 obs. of  1 variable:
+'data.frame':    3 obs. of  1 variable:
 $ mytextvariable: Factor w/ 3 levels " ","hello","world": 2 1 3
 ```
 
 **Results - Example 2**
 
 ```text
 STDOUT message(s) from external script:
-'data.frame':	1 obs. of  3 variables:
+'data.frame':    1 obs. of  3 variables:
 $ c..hello..: Factor w/ 1 level "hello": 1
 $ X...      : Factor w/ 1 level " ": 1
 $ c..world..: Factor w/ 1 level "world": 1

articles/sql-database/sql-database-machine-learning-services-overview.md

@@ -44,12 +44,10 @@ In addition to the pre-installed packages, you can [install additional packages]
 
 <a name="signup"></a>
 
-## Sign up for the preview
+## Sign up for the preview (closed)
 
 > [!IMPORTANT]
-> Sign up for Azure SQL Database Machine Learning Services (preview) is currently closed.
-
-Machine Learning Services with R is not recommended for production workload during the preview.
+> Sign up for Azure SQL Database Machine Learning Services (preview) is currently **closed**.
 
 ## Next steps
 

articles/sql-database/sql-database-tutorial-clustering-model-build.md

@@ -19,6 +19,8 @@ ms.date: 07/29/2019
 
 In part two of this three-part tutorial series, you'll build a K-Means model in R to perform clustering. In the next part of this series, you'll deploy this model in a SQL database with Azure SQL Database Machine Learning Services (preview).
 
+[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
+
 In this article, you'll learn how to:
 
 > [!div class="checklist"]

articles/sql-database/sql-database-tutorial-clustering-model-deploy.md

@@ -19,6 +19,8 @@ ms.date: 07/29/2019
 
 In part three of this three-part tutorial series, you'll deploy a clustering model, developed in R, into a SQL database using Azure SQL Database Machine Learning Services (preview).
 
+[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
+
 You'll create a stored procedure with an embedded R script that performs clustering. Because your model executes in the Azure SQL database, it can easily be trained against data stored in the database.
 
 In this article, you'll learn how to:

articles/sql-database/sql-database-tutorial-clustering-model-prepare-data.md

@@ -19,6 +19,8 @@ ms.date: 07/29/2019
 
 In part one of this three-part tutorial series, you'll import and prepare the data from an Azure SQL database using R. Later in this series, you'll use this data to train and deploy a clustering model in R with Azure SQL Database Machine Learning Services (preview).
 
+[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
+
 *Clustering* can be explained as organizing data into groups where members of a group are similar in some way.
 You'll use the **K-Means** algorithm to perform the clustering of customers in a dataset of product purchases and returns. By clustering customers, you can focus your marketing efforts more effectively by targeting specific groups.
 K-Means clustering is an *unsupervised learning* algorithm that looks for patterns in data based on similarities.

articles/sql-database/sql-database-tutorial-predictive-model-build-compare.md

@@ -19,6 +19,8 @@ ms.date: 07/26/2019
 
 In part two of this three-part tutorial series, you'll create two predictive models in R and select the most accurate model. In the next part of this series, you'll deploy this model in a SQL database with Azure SQL Database Machine Learning Services (preview).
 
+[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
+
 In this article, you'll learn how to:
 
 > [!div class="checklist"]

articles/sql-database/sql-database-tutorial-predictive-model-deploy.md

@@ -19,6 +19,8 @@ ms.date: 07/26/2019
 
 In part three of this three-part tutorial, you'll deploy a predictive model, developed in R, into a SQL database using Azure SQL Database Machine Learning Services (preview).
 
+[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
+
 You'll create a stored procedure with an embedded R script that makes predictions using the model. Because your model executes in the Azure SQL database, it can easily be trained against data stored in the database.
 
 In this article, using the R scripts you developed in parts one and two, you'll learn how to:

articles/sql-database/sql-database-tutorial-predictive-model-prepare-data.md

@@ -19,6 +19,8 @@ ms.date: 07/26/2019
 
 In part one of this three-part tutorial series, you'll import and prepare data from an Azure SQL database using R. Later in this series, you'll use this data to train and deploy a predictive machine learning model in R with Azure SQL Database Machine Learning Services (preview).
 
+[!INCLUDE[ml-preview-note](../../includes/sql-database-ml-preview-note.md)]
+
 For this tutorial series, imagine you own a ski rental business and you want to predict the number of rentals that you'll have on a future date. This information will help you get your stock, staff, and facilities ready.
 
 In parts one and two of this series, you'll develop some R scripts in RStudio to prepare your data and train a machine learning model. Then, in part three, you'll run those R scripts inside a SQL database using stored procedures.

includes/sql-database-ml-preview-note.md

@@ -8,7 +8,7 @@ ms.author: garye
 ---
 
 > [!IMPORTANT]
-> Azure SQL Database Machine Learning Services is currently in preview. Sign up for the preview is currently closed.
+> Azure SQL Database Machine Learning Services is currently in preview. Sign up for the preview is currently **closed**.
 > 
 > This preview version is provided without a service level agreement, and it's not recommended for production workloads. Certain features might not be supported or might have constrained capabilities.
 > For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).