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docs/advanced-analytics/r/create-a-standalone-r-server.md

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## <a name="bkmk_installRServer"></a> Install Microsoft R Server (Standalone)
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This feature requires an Enterprise license or eqivalent for **SQL Server 2016**.
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This feature requires an Enterprise license or equivalent for **SQL Server 2016**.
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If you have installed any previous version of the Revolution Analytics tools or packages, you must uninstall them first. See [Upgrading from an older version of Microsoft R Server](#bkmk_Uninstall).
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### Default installation folders
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When you install R Server or Machine Learning Server using SQL Server setup, the R libraries are installed in a folder associated with the SQL Server version that you used for setup. In this folder you will also find sample data, documentation for the R base packages, and documentation of the R tools and runtime.
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When you install R Server or Machine Learning Server using SQL Server setup, the R libraries are installed in a folder associated with the SQL Server version that you used for setup. In this folder, you will also find sample data, documentation for the R base packages, and documentation of the R tools and runtime.
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However, if you install using the separate Windows installer, or if you upgrade using the separate Windows installer, the R libraries are installed in a different folder.
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In the RTM version of SQL Server 2016, there was a known issue when adding Microsoft R Server to an instance on Windows Server Core edition. This has been fixed.
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If you encounter this issue, you can applied the fix described in [KB3164398](https://support.microsoft.com/kb/3164398) to add the R feature to the existing instance on Windows Server Core. For more information, see [Can't install Microsoft R Server Standalone on a Windows Server Core operating system](https://support.microsoft.com/kb/3168691).
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If you encounter this issue, you can apply the fix described in [KB3164398](https://support.microsoft.com/kb/3164398) to add the R feature to the existing instance on Windows Server Core. For more information, see [Can't install Microsoft R Server Standalone on a Windows Server Core operating system](https://support.microsoft.com/kb/3168691).
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### <a name="bkmk_Uninstall"></a> Upgrading from an older version of Microsoft R Server
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docs/advanced-analytics/r/getting-started-with-microsoft-r-server-standalone.md

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In SQL Server 2017, the name was changed to Machine Learning Server (standalone) to reflect the addition of support for the Python language. Both versions are available for free to users of Enterprise Edition or Software Assurance.
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This article provides a high-level overview of how you can use Machine Learning Server (or R Server), and how to get started with installation and samples.
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This article provides a high-level overview of how you can use Machine Learning Server (or R Server), and how to get started with installation and samples.
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## Why use a standalone server for machine learning
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+ Install R Server using the separate Windows installer.
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This installer create a brand new instance of Microsoft R Server that uses the Microsoft Modern Software Lifecycle support policy. You can also install R Server for Linux, Cloudera, Teradata, and Hadoop.
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This installer creates a brand new instance of Microsoft R Server that uses the Microsoft Modern Software Lifecycle support policy. You can also install R Server for Linux, Cloudera, Teradata, and Hadoop.
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For more information, see [Install R Server 9.1 for Windows](https://docs.microsoft.com/machine-learning-server/install/r-server-install-windows).
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+ [Solution templates](https://docs.microsoft.com/machine-learning-server/r/sample-solutions)
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Theses samples represent indistry-specific solutions that demonstrate applied machine learning. Current samples cover scenarios in retail, finance, health care, and marketing.
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Theses samples are solutions that demonstrate how to apply machine learning in specific industries. Current scenarios are in retail, finance, health care, and marketing.
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+ [Explore R and ScaleR in 25 Functions](https://docs.microsoft.com/machine-learning-server/r/tutorial-r-to-revoscaler): Explore this collection of distributable analytical functions that provide high performance and scaling to R solutions. Includes parallelizable versions of many of the most popular R modeling packages, such as k-means clustering, decision trees, and decision forests, and tools for data manipulation.
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docs/advanced-analytics/r/install-microsoft-r-server-from-the-command-line.md

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An **unattended** installation requires that you specify the location of the setup utility, and use arguments to indicate which features to install.
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For a **quiet** installation, provide the same arguments and add the **/q** switch. No prompts will be provided and no interaction is required. However, setup fails if any required arguments are omitted.
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For a **quiet** installation, provide the same arguments and add the **/q** switch. No prompts are provided and no interaction is required. However, setup fails if any required arguments are omitted.
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## Prerequisites
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```
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+ To view progress and prompts, remove the _/q_ argument.
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+ If you use the argument **FEATURES = SQL_SHARED_MR**, only the Machine Learning Server components are installed, with neither R nor Python. This instllation includes all prerequisites, which are installed silently by default. However, we recommend that you add at least one language when installing for the first time.
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+ If you use the argument **FEATURES = SQL_SHARED_MR**, only the Machine Learning Server components are installed, with neither R nor Python. This installation includes all prerequisites, which are installed silently by default. However, we recommend that you add at least one language when installing for the first time.
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+ Add **SQL_INST_MR** to install support for R.
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+ Add **SQL_INST_MPY** to install support for Python.
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+ **IACCEPTROPENLICENSETERMS** indicates you have accepted the license terms for using the open source R components.
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In SQl Server 2017, you can install and manage R packages by using T-SQL. For more information, see [Installing and managing R packages](../r/install-additional-r-packages-on-sql-server.md).
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For Python, and in SQL Server 2016, an administrator must install any additional libraries that will be required.
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For Python, and in SQL Server 2016, an administrator must install any additional libraries that might be required.
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> [!IMPORTANT]
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> If you intend to run your R code on SQL Server, make sure that you install the same packages on the computer you'll use for developing the solution, and the SQL Server instance where you'll execute or deploy the solution.
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+ [Install Machine Learning Server for Windows](https://docs.microsoft.com/machine-learning-server/install/machine-learning-server-windows-install)
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+ [Install R Server 9.0.1 for Windows](https://docs.microsoft.com/machine-learning-server/install/r-server-install-windows)
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The separate windows installer for Machine Learning Server can also be used to upgrade the machine learaning components associated with the instance. For more information, see these links:
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The separate windows installer for Machine Learning Server can also be used to upgrade the machine learning components associated with the instance. For more information, see these links:
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+ [Use SqlBindR to upgrade R](../r/use-sqlbindr-exe-to-upgrade-an-instance-of-sql-server.md)

docs/advanced-analytics/r/set-up-sql-server-r-services-in-database.md

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We recommend that you **do not** install the Standalone and In-Database features on the same computer, and never install them at the same time. You would ordinarily install Machine Learning Server (Standalone) to create an environment that a data scientist or developer uses to connect to SQL Server when deploying solutions. Therefore, there is no need to install both on the same computer.
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4. License agreements for machnie learning: Depending on which languages you're installing, you must accept the license agreements for R or Python, or both.
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4. License agreements for machine learning: Depending on which languages you're installing, you must accept the license agreements for R or Python, or both.
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+ License terms for R: This license agreement covers Microsoft R Open, which includes a distribution of the open source R base packages and tools, together with enhanced R packages and connectivity providers from the Microsoft development team.
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+ License terms for Python. The Python open source licensing agreement also covers Anaconda and related tools, plus some new Python libraries from the Microsoft development team.
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Click **Accept** to indicate your agreement. There is a brief pause whie the components are prepared, then the **Next** button becomes available.
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Click **Accept** to indicate your agreement. There is a brief pause while the components are prepared, then the **Next** button becomes available.
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If the computer that you're using does not have internet access, you can pause setup at this point to download the installers separately, as described here: [Install machine learning components without internet access](installing-ml-components-without-internet-access.md).
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GO
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The script can take a little while to run, the first time the external scrpt runtime is loaded. The results should be something like this:
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The script can take a little while to run, the first time the external script runtime is loaded. The results should be something like this:
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| hello |
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|----|
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| 1|
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8. If you get any errors, proceed to the section describing other, optional changes that you might need to make after installation is complete, or see the troublehooting guide:
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8. If you get any errors, proceed to the section describing other, optional changes that you might need to make after installation is complete, or see the troubleshooting guide:
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+ [Optional post-installation steps: Configure service and permissions](#bkmk_FollowUp)
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+ [Troubleshooting machine learning in SQL Server](upgrade-and-installation-faq-sql-server-r-services.md)
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> [!NOTE]
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> Not all the listed changes might be required. However, we recommend that you review all items to see whether they are applicable to your scenario.
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Additional troubleshoting advce can be found here: [Upgrade and installation FAQ](../r/upgrade-and-installation-faq-sql-server-r-services.md)
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Additional troubleshooting tips can be found here: [Upgrade and installation FAQ](../r/upgrade-and-installation-faq-sql-server-r-services.md)
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### <a name="bkmk_configureAccounts"></a>Enable implied authentication for the Launchpad account group
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docs/advanced-analytics/r/unattended-installs-of-sql-server-r-services.md

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+ To complete setup without having to respond to prompts, make sure that you have identified all required arguments, including those for licensing, and for any other features that you might want to install.
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+ The **Mixed** security mode that supports SQL logins was required in early releases. It is no longer reuqired, but you might consider enabling Mixed Mode authentication to support solution development by data scientists who use a SQL login.
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+ The **Mixed** security mode that supports SQL logins was required in early releases. Although it is no longer required, you might consider enabling Mixed Mode authentication to support solution development by data scientists who use a SQL login.
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> [!IMPORTANT]
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> Additional steps are required after setup is finished to enable the feature. These include a reconfiguration and restart of the instance. Be sure to review all items in the section on [post-installation steps] (#bkmk_PostInstall) to determine actions needed after setup completes.
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## <a name="bkmk_NewInstall"></a> Command-line installation for SQL Server 2017
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The following examples shows the **minimum** required features.
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The following examples include the **minimum** required features.
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> [!IMPORTANT]
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> Be sure to run all commands from an elevated command prompt.

docs/advanced-analytics/r/upgrade-and-installation-faq-sql-server-r-services.md

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- New installation of any pre-release version of [!INCLUDE[rsql_productname](../../includes/rsql-productname-md.md)] is no longer supported. If you are using a pre-release version, upgrade as soon as possible.
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- Disable virus scanning before beginning setup. After setup is completed, we recommend suspending virus scanning on the folders used by SQL Server. Preferably, suspend scanning on the entire SQL Server tree.
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- Disable virus scanning before beginning setup. After setup is completed, we recommend suspending virus scanning on the folders used by [!INCLUDE[ssnoversion](../includes/ssnoversion.md)]. Preferably, suspend scanning on the entire [!INCLUDE[ssnoversion](../includes/ssnoversion.md)] tree.
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### Licensing agreements for unattended installs
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If you use the command line to upgrade an instance of SQL Server, make sure that the command line includes both the SQL Srevr licensing agreement parameter, and the new license agreement parameters for R and Python.
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If you use the command line to upgrade an instance of SQL Server, make sure that the command line includes both the [!INCLUDE[ssnoversion](../includes/ssnoversion.md)] licensing agreement parameter, and the new license agreement parameters for R and Python.
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### Offline installation of machine learning components for a localized version of SQL Server
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When you install SQL Server machine learning components on a computer that does not have internet access, you must take some additional steps:
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When you install [!INCLUDE[ssnoversion](../includes/ssnoversion.md)] machine learning components on a computer that does not have internet access, you must take some additional steps:
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+ Download the R or Python component installers to a local folder before you run SQL Server setup.
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+ In some cases, you might need to edit the installer file to ensure that the correct language is installed.

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