20220421 ml updates for SQL 2022

Author: WilliamDAssafMSFT

docs/machine-learning/concepts/extension-r.md

@@ -19,7 +19,7 @@ This article describes the R extension for running external Python scripts with
 - Base R distribution with standard libraries and tools
 - Microsoft R libraries:
   - [RevoScaleR](../r/ref-r-revoscaler.md) for analytics at scale
-  - [MicrosoftML](../r/ref-r-microsoftml.md) for machine learning algorithms
+  - [MicrosoftML](../r/ref-r-microsoftml.md) for machine learning algorithms. **Applies to SQL Server 2019 and prior versions.**
   - Other libraries for accessing data or R code in SQL Server
 
 ## R components

docs/machine-learning/install/sql-pretrained-models-install.md

@@ -10,11 +10,13 @@ ms.author: wiassaf
 ms.custom:
   - seo-lt-2019
   - intro-installation
-monikerRange: ">=sql-server-2016||>=sql-server-linux-ver15"
+monikerRange: "=sql-server-2016||=sql-server-2017||=sql-server-ver15||=sql-server-linux-ver15"
 ---
 # Install pre-trained machine learning models on SQL Server
 [!INCLUDE [SQL Server 2016 and later](../../includes/applies-to-version/sqlserver2016.md)]
 
+This article does not apply to SQL Server 2022.
+
 This article explains how to use PowerShell to add free pre-trained machine learning models for *sentiment analysis* and *image featurization* to a SQL Server instance having R or Python integration. The pre-trained models are built by Microsoft and ready-to-use, added to an instance as a post-install task. For more information about these models, see the [Resources](#bkmk_resources) section of this article.
 
 Once installed, the pre-trained models are considered an implementation detail that power specific functions in the MicrosoftML (R) and microsoftml (Python) libraries. You should not (and cannot) view, customize, or retrain the models, nor can you treat them as an independent resource in custom code or paired other functions. 

docs/machine-learning/sql-server-machine-learning-services.md

@@ -76,11 +76,13 @@ The following lists the versions of Python and R that are included in Machine Le
 
 | SQL Server version | Cumulative Update | Python runtime version | R runtime versions |
 |-|-|-|-|
+| SQL Server 2022\* | RTM and later | 3.10.2 | 4.2.0 | 
 | SQL Server 2019 | RTM and later | 3.7.1 | 3.5.2 |
 | SQL Server 2017 | CU22 and later | 3.5.2 and 3.7.2 | 3.3.3 and 3.5.2 |
 | SQL Server 2017 | RTM - CU21 | 3.5.2 | 3.3.3 |
+| SQL Server 2016 | See the [R version](r/sql-server-r-services.md?view=sql-server-2016&preserve-view=true#version) | | |
 
-For the R version in SQL Server 2016, see the [R version section in What is R Services?](r/sql-server-r-services.md?view=sql-server-2016&preserve-view=true#version)
+\* For supported versions of R and Python and the RevoScaleR and revoscalepy packages, see [SQL 2022 R and Python versions and package versions]().
 
 <a name="packages"></a>
 
@@ -91,12 +93,12 @@ You can use open-source packages and frameworks, in addition to Microsoft's ente
 | Language | Package | Description |
 |-|-|-|
 | Python | [revoscalepy](python/ref-py-revoscalepy.md) | The primary package for scalable Python. Data transformations and manipulation, statistical summarization, visualization, and many forms of modeling. Additionally, functions in this package automatically distribute workloads across available cores for parallel processing. |
-| Python | [microsoftml](python/ref-py-microsoftml.md) | Adds machine learning algorithms to create custom models for text analysis, image analysis, and sentiment analysis. | 
+| Python | [microsoftml](python/ref-py-microsoftml.md) | **Applies only to SQL Server 2019 and prior versions.** Adds machine learning algorithms to create custom models for text analysis, image analysis, and sentiment analysis. | 
 | R | [RevoScaleR](r/ref-r-revoscaler.md) | The primary package for scalable R. Data transformations and manipulation, statistical summarization, visualization, and many forms of modeling. Additionally, functions in this package automatically distribute workloads across available cores for parallel processing. |
-| R | [MicrosoftML (R)](r/ref-r-microsoftml.md) | Adds machine learning algorithms to create custom models for text analysis, image analysis, and sentiment analysis. |
-| R | [olapR](r/ref-r-olapr.md) | R functions used for MDX queries against a SQL Server Analysis Services OLAP cube. |
-| R | [sqlrutils](r/ref-r-sqlrutils.md) | A mechanism to use R scripts in a T-SQL stored procedure, register that stored procedure with a database, and run the stored procedure from an [R development environment](r/set-up-data-science-client.md). |
-| R | [Microsoft R Open](https://mran.microsoft.com/rro) | Microsoft R Open (MRO) is the enhanced distribution of R from Microsoft. It is a complete open-source platform for statistical analysis and data science. It is based on and 100% compatible with R, and includes additional capabilities for improved performance and reproducibility. |
+| R | [MicrosoftML (R)](r/ref-r-microsoftml.md) | **Applies only to SQL Server 2019 and prior versions.** Adds machine learning algorithms to create custom models for text analysis, image analysis, and sentiment analysis. |
+| R | [olapR](r/ref-r-olapr.md) | **Applies only to SQL Server 2019 and prior versions.** R functions used for MDX queries against a SQL Server Analysis Services OLAP cube. |
+| R | [sqlrutils](r/ref-r-sqlrutils.md) | **Applies only to SQL Server 2019 and prior versions.** A mechanism to use R scripts in a T-SQL stored procedure, register that stored procedure with a database, and run the stored procedure from an [R development environment](r/set-up-data-science-client.md). |
+| R | [Microsoft R Open](https://mran.microsoft.com/rro) | **Applies only to SQL Server 2019 and prior versions.** Microsoft R Open (MRO) is the enhanced distribution of R from Microsoft. It is a complete open-source platform for statistical analysis and data science. It is based on and 100% compatible with R, and includes additional capabilities for improved performance and reproducibility. |
 
 For more information on which packages are installed with Machine Learning Services and how to install other packages, see: