updated appliesto

davidpeterh · davidpeterh · commit 1fb6ec250748 · 2020-08-12T13:44:55.000-04:00
diff --git a/docs/machine-learning/tutorials/quickstart-r-create-script.md b/docs/machine-learning/tutorials/quickstart-r-create-script.md
@@ -14,7 +14,7 @@ monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15||=azuresqldb-mi-curre
 ---
 
 # Quickstart: Run simple R scripts with SQL machine learning
-[!INCLUDE [SQL Server SQL MI](../../includes/applies-to-version/sql-asdbmi.md)]
+[!INCLUDE [SQL Server 2016 SQL MI](../../includes/applies-to-version/sqlserver2016-asdbmi.md)]
 
 ::: moniker range=">=sql-server-ver15||>=sql-server-linux-ver15||=sqlallproducts-allversions"
 In this quickstart, you'll run a set of simple R scripts using [SQL Server Machine Learning Services](../sql-server-machine-learning-services.md) or on [Big Data Clusters](../../big-data-cluster/machine-learning-services.md). You'll learn how to use the stored procedure [sp_execute_external_script](../../relational-databases/system-stored-procedures/sp-execute-external-script-transact-sql.md) to execute the script in a SQL Server instance.
diff --git a/docs/machine-learning/tutorials/quickstart-r-data-types-and-objects.md b/docs/machine-learning/tutorials/quickstart-r-data-types-and-objects.md
@@ -14,7 +14,7 @@ monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15||=azuresqldb-mi-curre
 ---
 
 # Quickstart: Data structures, data types, and objects using R with SQL machine learning
-[!INCLUDE [SQL Server SQL MI](../../includes/applies-to-version/sql-asdbmi.md)]
+[!INCLUDE [SQL Server 2016 SQL MI](../../includes/applies-to-version/sqlserver2016-asdbmi.md)]
 
 ::: moniker range=">=sql-server-ver15||>=sql-server-linux-ver15||=sqlallproducts-allversions"
 In this quickstart, you'll learn how to use data structures and data types when using R in [SQL Server Machine Learning Services](../sql-server-machine-learning-services.md) or on [Big Data Clusters](../../big-data-cluster/machine-learning-services.md). You'll learn about moving data between R and SQL Server, and the common issues that might occur.
diff --git a/docs/machine-learning/tutorials/quickstart-r-functions.md b/docs/machine-learning/tutorials/quickstart-r-functions.md
@@ -14,7 +14,7 @@ monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15||=azuresqldb-mi-curre
 ---
 
 # Quickstart: R functions with SQL machine learning
-[!INCLUDE [SQL Server SQL MI](../../includes/applies-to-version/sql-asdbmi.md)]
+[!INCLUDE [SQL Server 2016 SQL MI](../../includes/applies-to-version/sqlserver2016-asdbmi.md)]
 
 ::: moniker range=">=sql-server-ver15||>=sql-server-linux-ver15||=sqlallproducts-allversions"
 In this quickstart, you'll learn how to use R mathematical and utility functions with [SQL Server Machine Learning Services](../sql-server-machine-learning-services.md) or on [Big Data Clusters](../../big-data-cluster/machine-learning-services.md). Statistical functions are often complicated to implement in T-SQL, but can be done in R with only a few lines of code.
diff --git a/docs/machine-learning/tutorials/quickstart-r-train-score-model.md b/docs/machine-learning/tutorials/quickstart-r-train-score-model.md
@@ -14,7 +14,7 @@ monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15||=azuresqldb-mi-curre
 ---
 
 # Quickstart: Create and score a predictive model in R with SQL machine learning
-[!INCLUDE [SQL Server SQL MI](../../includes/applies-to-version/sql-asdbmi.md)]
+[!INCLUDE [SQL Server 2016 SQL MI](../../includes/applies-to-version/sqlserver2016-asdbmi.md)]
 
 ::: moniker range=">=sql-server-ver15||>=sql-server-linux-ver15||=sqlallproducts-allversions"
 In this quickstart, you'll create and train a predictive model using T. You'll save the model to a table in your SQL Server instance, and then use the model to predict values from new data using [SQL Server Machine Learning Services](../sql-server-machine-learning-services.md) or on [Big Data Clusters](../../big-data-cluster/machine-learning-services.md).
diff --git a/docs/machine-learning/tutorials/r-clustering-model-build.md b/docs/machine-learning/tutorials/r-clustering-model-build.md
@@ -13,7 +13,7 @@ ms.custom: seo-lt-2019
 monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15||=azuresqldb-mi-current||=sqlallproducts-allversions"
 ---
 # Tutorial: Build a clustering model in R with SQL machine learning
-[!INCLUDE [SQL Server SQL MI](../../includes/applies-to-version/sql-asdbmi.md)]
+[!INCLUDE [SQL Server 2016 SQL MI](../../includes/applies-to-version/sqlserver2016-asdbmi.md)]
 
 ::: moniker range=">=sql-server-ver15||>=sql-server-linux-ver15||=sqlallproducts-allversions"
 In part three of this four-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 database with SQL Server Machine Learning Services or on Big Data Clusters.
diff --git a/docs/machine-learning/tutorials/r-clustering-model-deploy.md b/docs/machine-learning/tutorials/r-clustering-model-deploy.md
@@ -13,7 +13,7 @@ ms.custom: seo-lt-2019
 monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15||=azuresqldb-mi-current||=sqlallproducts-allversions"
 ---
 # Tutorial: Deploy a clustering model in R with SQL machine learning
-[!INCLUDE [SQL Server SQL MI](../../includes/applies-to-version/sql-asdbmi.md)]
+[!INCLUDE [SQL Server 2016 SQL MI](../../includes/applies-to-version/sqlserver2016-asdbmi.md)]
 
 ::: moniker range=">=sql-server-ver15||>=sql-server-linux-ver15||=sqlallproducts-allversions"
 In part four of this four-part tutorial series, you'll deploy a clustering model, developed in R, into a database using SQL Server Machine Learning Services or on Big Data Clusters.
