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‎.openpublishing.redirection.json‎

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"redirect_url": "/sql/relational-databases/new-updated-relational-databases",
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"redirect_document_id": true
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},
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{
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"source_path": "docs/sql/reporting-services/report-server/configure-report-builder-access.md",
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"redirect_url": "/sql/reporting-services/report-server/configure-web-portal",
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"redirect_document_id": true
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},
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{
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"source_path": "docs/sql-server/sql-server-new-updated-sql-docs-pr.md",
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"redirect_url": "/sql/sql-server/new-updated-sql-server",
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"redirect_url": "/sql/integration-services/what-s-new-in-integration-services-in-sql-server-2017",
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"redirect_document_id": true
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},
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{
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"source_path": "docs/analysis-services/multidimensional-models/scripting-language-assl/xmla-concepts.md",
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"redirect_url": "/sql/analysis-services/xmla/xml-for-analysis-xmla-reference",
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"redirect_document_id": true
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},
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{
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"source_path": "docs/analysis-services/tabular-models/tabular-model-data-access.md",
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"redirect_url": "sql/analysis-services/tabular-models/tabular-models-ssas",
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"redirect_document_id": true
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},
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{
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"source_path": "docs/analysis-services/what-s-new-in-sql-server-analysis-services-vnext.md",
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"redirect_url": "/sql/analysis-services/what-s-new-in-sql-server-analysis-services-2017",

‎docs/advanced-analytics/known-issues-for-sql-server-machine-learning-services.md‎

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+ You installed R Server (Standalone) on a client computer by using the setup wizard for [!INCLUDE[ssSQLv14_md](../includes/sssqlv14-md.md)].
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+ You installed Microsoft R Server by using the [separate Windows installer](https://docs.microsoft.com/machine-learning-server/install/r-server-install-windows).
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To ensure that the server and client use the same version you might need to use _binding_, supported for Microsoft R Server 9.0 and later releases, to upgrade the R components in SQL Server 2016 instances. To determine if support for upgrades is available for your version of R Services, see [Upgrade an instance of R Services using SqlBindR.exe](/r/use-sqlbindr-exe-to-upgrade-an-instance-of-sql-server.md).
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To ensure that the server and client use the same version you might need to use _binding_, supported for Microsoft R Server 9.0 and later releases, to upgrade the R components in SQL Server 2016 instances. To determine if support for upgrades is available for your version of R Services, see [Upgrade an instance of R Services using SqlBindR.exe](r/use-sqlbindr-exe-to-upgrade-an-instance-of-sql-server.md).
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**Applies to:** SQL Server 2016 R Services, with R Server version 9.0.0 or earlier
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‎docs/advanced-analytics/r/install-additional-r-packages-on-sql-server.md‎

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| Approach | Permissions | Remote/Local |
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|------------------------------------|---------------------------|-------|
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| [Use conventional R package managers](#bkmk_rInstall) | Admin | Local |
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| [Use RevoScaleR](use-revoscaler-to-manage-r-packages.md) | Admin | Local |
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| [Use T-SQL (CREATE EXTERNAL LIBRARY)](install-r-packages-tsql.md) | Admin to setup, database roles afterwards | both
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| [Use RevoScaleR](use-revoscaler-to-manage-r-packages.md) | Admin to setup, database roles afterwards | Both |
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| [Use T-SQL (CREATE EXTERNAL LIBRARY)](install-r-packages-tsql.md) | Admin | both
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| [Use a miniCRAN to create a local repository](create-a-local-package-repository-using-minicran.md) | Admin to setup, database roles afterwards | both |
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## <a name="bkmk_rInstall"></a> Install R packages over an Internet connection

‎docs/advanced-analytics/r/install-pretrained-models-sql-server.md‎

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+ SQL Server 2016 R Services (In-Database) - R only, with the [MicrosoftML library](https://docs.microsoft.com/machine-learning-server/r-reference/microsoftml/microsoftml-package)
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+ SQL Server 2016 R Server (Standalone) - R only, with the [MicrosoftML library](https://docs.microsoft.com/machine-learning-server/r-reference/microsoftml/microsoftml-package)
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+ SQL Server 2017 Machine Learning Services (In-Database) - R with the [MicrosoftML library] (https://docs.microsoft.com/machine-learning-server/r-reference/microsoftml/microsoftml-package), Python with the [microsoftml library](https://docs.microsoft.com/machine-learning-server/python-reference/microsoftml/microsoftml-package)
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+ SQL Server 2017 Machine Learning Server (Standalone) - R with the [MicrosoftML library] (https://docs.microsoft.com/machine-learning-server/r-reference/microsoftml/microsoftml-package), Python with the [microsoftml library](https://docs.microsoft.com/machine-learning-server/python-reference/microsoftml/microsoftml-package)
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+ SQL Server 2017 Machine Learning Services (In-Database) - R with the [MicrosoftML library](https://docs.microsoft.com/machine-learning-server/r-reference/microsoftml/microsoftml-package), Python with the [microsoftml library](https://docs.microsoft.com/machine-learning-server/python-reference/microsoftml/microsoftml-package)
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+ SQL Server 2017 Machine Learning Server (Standalone) - R with the [MicrosoftML library](https://docs.microsoft.com/machine-learning-server/r-reference/microsoftml/microsoftml-package), Python with the [microsoftml library](https://docs.microsoft.com/machine-learning-server/python-reference/microsoftml/microsoftml-package)
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The installation process differs slightly depending on your version of SQL Server. See the following sections for instructions for each version.
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‎docs/advanced-analytics/r/installing-sql-server-r-services-on-an-azure-virtual-machine.md‎

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# Install SQL Server machine learning features on an Azure virtual machine
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[!INCLUDE[appliesto-ss-xxxx-xxxx-xxx-md-winonly](../../includes/appliesto-ss-xxxx-xxxx-xxx-md-winonly.md)]
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We recommend using the [Data Science virtual machine](ttps://docs.microsoft.com/azure/machine-learning/data-science-virtual-machine/provision-vm), but if you want a VM that has just SQL Server 2017 Machine Learning Services or SQL Server 2016 R Services, this article guides you through the steps.
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We recommend using the [Data Science virtual machine](https://docs.microsoft.com/azure/machine-learning/data-science-virtual-machine/provision-vm), but if you want a VM that has just SQL Server 2017 Machine Learning Services or SQL Server 2016 R Services, this article guides you through the steps.
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## Create a virtual machine on Azure
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TCP/IP is required for loopback connections. If you get the following error, enable TCP/IP on the virtual machine that supports the instance:
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"DBNETLIB; SQL Server does not exist or access denied"
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"DBNETLIB; SQL Server does not exist or access denied"

‎docs/advanced-analytics/r/machine-learning-services-r-reference.md‎

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Scalable algorithms that support remote compute contexts and multiple data sources.
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+ [MicrosoftML](https://docs.microsoft.com/machine-learning-serverr-reference/microsoftml/microsoftml-package)
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+ [MicrosoftML](https://docs.microsoft.com/machine-learning-server/r-reference/microsoftml/microsoftml-package)
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Fast, scalable machine learning algorithms and transforms for R. Requires RevoScaleR.
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‎docs/advanced-analytics/r/r-and-data-optimization-r-services.md‎

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## Factors
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The R language has the concept of “factors”, which are special variable for categorical data. Data scientists often use factor variables in their formula, because handling categorical variables as factors ensures that the data is processed properly by machine learning functions. For more information, see [R for Dummies: Factor Variables] (http://www.dummies.com/programming/r/how-to-look-at-the-structure-of-a-factor-in-r/).
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The R language has the concept of “factors”, which are special variable for categorical data. Data scientists often use factor variables in their formula, because handling categorical variables as factors ensures that the data is processed properly by machine learning functions. For more information, see [R for Dummies: Factor Variables](http://www.dummies.com/programming/r/how-to-look-at-the-structure-of-a-factor-in-r/).
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By design, factor variables can be converted from strings to integers and back again for storage or processing. The R `data.frame` function handles all strings as factor variables, unless the argument *stringsAsFactors* is set to **False**. What this means is that strings are automatically converted to an integer for processing, and then mapped back to the original string.
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‎docs/advanced-analytics/r/r-package-management-for-sql-server-r-services.md‎

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+ The server administrator can monitor the addition of new files and libraries on the server, and control the growth of files used by package libraries.
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+ Packages can be more easily shared by multiple database users, as opposed to installing multiple copies of the same package in user libraries.
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+ Only secured, approved packages can be installed, to protect the server and its operations.
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However, these restrictions necessarily mean some changes in the way that data scientists and analysts work:
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‎docs/advanced-analytics/r/use-sqlbindr-exe-to-upgrade-an-instance-of-sql-server.md‎

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Component |Initial Release | R Server 9.0.1 | R Server 9.1 | MLS 9.2.1 | MLS 9.3 |
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Microsoft R Open (MRO) over R | R 3.2.2 | R 3.3.2 |R 3.3.3 | R 3.4.1 | R 3.4.3 |
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[RevoScaleR](https://docs.microsoft.com/achine-learning-server/r-reference/revoscaler/revoscaler) | 8.0.3 | 9.0.1 | 9.1 | 9.2.1 | 9.3 |
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[RevoScaleR](https://docs.microsoft.com/machine-learning-server/r-reference/revoscaler/revoscaler) | 8.0.3 | 9.0.1 | 9.1 | 9.2.1 | 9.3 |
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[MicrosoftML](https://docs.microsoft.com/machine-learning-server/r-reference/microsoftml/microsoftml-package)| n.a. | 9.0.1 | 9.1 | 9.2.1 | 9.3 |
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[pretrained models](https://docs.microsoft.com/machine-learning-server/install/microsoftml-install-pretrained-models)| n.a. | 9.0.1 | 9.1 | 9.2.1 | 9.3 |
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[sqlrutils](https://docs.microsoft.com/machine-learning-server/r-reference/sqlrutils/sqlrutils)| n.a. | 1.0 | 1.0 | 1.0 | 1.0 |
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+ [Install Machine Learning Server for Windows (offline)](https://docs.microsoft.com/machine-learning-server/install/machine-learning-server-windows-offline)
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+ [Known issues in Machine Learning Server](https://docs.microsoft.com/machine-learning-server/resources-known-issues)
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+ [Feature announcements from previous release of R Server](https://docs.microsoft.com/r-server/whats-new-in-r-server)
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+ [Deprecated, discontinued or changed features](https://docs.microsoft.com/machine-learning-server/resources-deprecated-features)
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+ [Deprecated, discontinued or changed features](https://docs.microsoft.com/machine-learning-server/resources-deprecated-features)

‎docs/advanced-analytics/tutorials/walkthrough-create-graphs-and-plots-using-r.md‎

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## Next lesson
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[Create data features using R and SQL](/walkthrough-create-data-features.md)
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[Create data features using R and SQL](walkthrough-create-data-features.md)
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## Previous lesson
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[Summarize data using R](/walkthrough-view-and-summarize-data-using-r.md)
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[Summarize data using R](walkthrough-view-and-summarize-data-using-r.md)

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