SQLML: Removing links to binding article

garyericson · garyericson · commit 5b8bdaaed18a · 2021-07-13T17:03:10.000-07:00
diff --git a/docs/machine-learning/package-management/install-r-packages-with-revoscaler.md b/docs/machine-learning/package-management/install-r-packages-with-revoscaler.md
@@ -18,11 +18,6 @@ monikerRange: "=sql-server-2016||=sql-server-2017"
 
 This article describes how to use [RevoScaleR](../r/ref-r-revoscaler.md) (version 9.0.1 and later) functions to install R packages on SQL Server with Machine Learning Services or R Services. The RevoScaleR functions can be used by remote, non-administrators to install packages on SQL Server without direct access to the server.
 
-::: moniker range="=sql-server-2016"
-> [!NOTE]
-> SQL Server R Services customers must do a [component upgrade](../install/upgrade-r-and-python.md) to get RevoScaleR package management functions. For instructions on how to retrieve package version and contents, see [Get R package information](../package-management/r-package-information.md).
-::: moniker-end
-
 ## RevoScaleR functions for package management
 
 The following table describes the functions used for R package installation and management.
diff --git a/docs/machine-learning/package-management/package-install-uninstall-and-sync.md b/docs/machine-learning/package-management/package-install-uninstall-and-sync.md
@@ -44,8 +44,6 @@ You must also enable the [package management feature](r-package-how-to-enable-or
 
 This feature is available in SQL Server 2017 CTP 2 or later.
 
-You can add this feature to an instance of SQL Server 2016 by upgrading the instance to use the latest version of Microsoft R. For more information, see [Use SqlBindR.exe to upgrade SQL Server R Services](../install/upgrade-r-and-python.md).
-
 ### Enable the package management feature
 
 To use package synchronization requires that the new package management feature be enabled on the SQL Server instance, and on individual databases. For more information, see [Enable or disable package management for SQL Server](r-package-how-to-enable-or-disable.md).
diff --git a/docs/machine-learning/package-management/python-package-information.md b/docs/machine-learning/package-management/python-package-information.md
@@ -92,8 +92,6 @@ For information on which version of Python is included, see [Python and R versio
 
 By default, Python packages are refreshed through service packs and cumulative updates. Additional packages and full version upgrades of core Python components are possible only through product upgrades.
 
-For more information, see [Upgrade R and Python components in SQL Server](../install/upgrade-r-and-python.md).
-
 ## Default open-source Python packages
 
 When you select the Python language option during setup, Anaconda 4.2 distribution (over Python 3.5) is installed. In addition to Python code libraries, the standard installation includes sample data, unit tests, and sample scripts.
diff --git a/docs/machine-learning/package-management/r-package-information.md b/docs/machine-learning/package-management/r-package-information.md
@@ -115,8 +115,6 @@ By default, R packages are refreshed through service packs and cumulative update
 In addition, you can add MicrosoftML and olapR packages to a SQL Server instance through a component upgrade.
 ::: moniker-end
 
-For more information, see [Upgrade R and Python components in SQL Server](../install/upgrade-r-and-python.md).
-
 ## Default open-source R packages
 
 R support includes open-source R so that you can call base R functions and install additional open-source and third-party packages. R language support includes core functionality such as **base**, **stats**, **utils**, and others. A base installation of R also includes numerous sample datasets and standard R tools such as **RGui** (a lightweight interactive editor) and **RTerm** (an R command prompt).
diff --git a/docs/machine-learning/r/ref-r-microsoftml.md b/docs/machine-learning/r/ref-r-microsoftml.md
@@ -131,7 +131,7 @@ This section lists the functions by category to give you an idea of how each one
 
 Functions in **MicrosoftML** are callable in R code encapsulated in stored procedures. Most developers build **MicrosoftML** solutions locally, and then migrate finished R code to stored procedures as a deployment exercise.
 
-The **MicrosoftML** package for R is installed "out-of-the-box" in SQL Server 2017. It is also available for use with SQL Server 2016 if you upgrade the R components for the instance: [Upgrade an instance of SQL Server using binding](../install/upgrade-r-and-python.md)
+The **MicrosoftML** package for R is installed "out-of-the-box" in SQL Server 2017.
 
 The package is not loaded by default. As a first step, load the **MicrosoftML** package, and then load **RevoScaleR** if you need to use remote compute contexts or related connectivity or data source objects. Then, reference the individual functions you need.
 
diff --git a/docs/machine-learning/r/set-up-a-data-science-client.md b/docs/machine-learning/r/set-up-a-data-science-client.md
@@ -197,7 +197,7 @@ When using [RStudio](https://www.rstudio.com/), you can configure the environmen
 
 1. Check R package versions installed on SQL Server. For more information, see [Get R package information](../package-management/r-package-information.md).
 
-1. Install Microsoft R Client or one of the standalone server options to add RevoScaleR and other R packages, including the base R distribution used by your SQL Server instance. Choose a version at the same level or lower (packages are backward compatible) that provides the same package versions as on the server. For version information, see the version map in this article: [Upgrade R and Python components](../install/upgrade-r-and-python.md).
+1. Install Microsoft R Client or one of the standalone server options to add RevoScaleR and other R packages, including the base R distribution used by your SQL Server instance. Choose a version at the same level or lower (packages are backward compatible) that provides the same package versions as on the server. To view the package versions installed on the server, see [List all installed R packages](../package-management/r-package-information.md#list-all-installed-r-packages).
 
 1. In RStudio, [update your R path](https://support.rstudio.com/hc/articles/200486138-Using-Different-Versions-of-R) to point to the R environment providing RevoScaleR, Microsoft R Open, and other Microsoft packages. 
 
diff --git a/docs/machine-learning/troubleshooting/common-issues-external-script-execution.md b/docs/machine-learning/troubleshooting/common-issues-external-script-execution.md
@@ -183,7 +183,7 @@ To resolve the issue, you must reinstall the package to the SQL Server instance
 
 ::: moniker range=">=sql-server-2016"
 >[!NOTE]
->If you have upgraded an instance of SQL Server 2016 to use the latest version of Microsoft R, the default library location is different. For more information, see [Use SqlBindR to upgrade an instance of R Services](../install/upgrade-r-and-python.md).
+>If you have upgraded an instance of SQL Server 2016 to use the latest version of Microsoft R, the default library location is different. For more information, see [Default R library location](../package-management/r-package-information.md#default-r-library-location).
 ::: moniker-end
 
 ::: moniker range=">=sql-server-2016"
