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docs/advanced-analytics/java/extension-java.md

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| Operating System | Java version | JRE download | JDK download |
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|------------------|--------------|--------------|--------------|
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| Windows | 1.10 | [JRE 10](http://www.oracle.com/technetwork/java/javase/downloads/jre10-downloads-4417026.html) | [JDK 10](http://www.oracle.com/technetwork/java/javase/downloads/jdk10-downloads-4416644.html) |
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| Windows | 1.10 | [JRE 10](https://www.oracle.com/technetwork/java/javase/downloads/jre10-downloads-4417026.html) | [JDK 10](https://www.oracle.com/technetwork/java/javase/downloads/jdk10-downloads-4416644.html) |
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| Linux | 1.8 | [JRE 8](https://www.oracle.com/technetwork/java/javase/downloads/jre8-downloads-2133155.html) | [JDK 8](https://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html) |
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On Linux, the **mssql-server-extensibility-java** package automatically installs JRE 1.8 if it is not already installed. Installation scripts also add the JVM path to an environment variable called JAVA_HOME.

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

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>
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> *Component error code: 0x80131509*
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The failure occurs because, on a domain controller, the service cannot create the 20 local accounts required to run machine learning. In general, we do not recommend installing SQL Server on a domain controller. For more information, see [Support bulletin 2032911](https://support.microsoft.com/en-us/help/2032911/you-may-encounter-problems-when-installing-sql-server-on-a-domain-cont).
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The failure occurs because, on a domain controller, the service cannot create the 20 local accounts required to run machine learning. In general, we do not recommend installing SQL Server on a domain controller. For more information, see [Support bulletin 2032911](https://support.microsoft.com/help/2032911/you-may-encounter-problems-when-installing-sql-server-on-a-domain-cont).
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### Install the latest service release to ensure compatibility with Microsoft R Client
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A service release has been provided that includes the correct version of the R installation files.
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+ [Cumulative Update Package 3 for SQL Server 2017 KB4052987](https://www.microsoft.com/en-us/download/details.aspx?id=56128).
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+ [Cumulative Update Package 3 for SQL Server 2017 KB4052987](https://www.microsoft.com/download/details.aspx?id=56128).
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To install the components and repair SQL Server 2017 CU3, you must uninstall CU3, and reinstall the updated version:
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docs/advanced-analytics/python/install-additional-python-packages-on-sql-server.md

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>
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> [Getting Started with Python Web Services using Machine Learning Server](https://blogs.msdn.microsoft.com/mlserver/2017/12/13/getting-started-with-python-web-services-using-machine-learning-server/)
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>
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> [David Crook: Microsoft Cognitive Toolkit + VS Code](http://dacrook.com/cntk-vs-code-awesome/)
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> [David Crook: Microsoft Cognitive Toolkit + VS Code](https://dacrook.com/cntk-vs-code-awesome/)
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### Step 1. Download the Windows version of the Python package
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docs/advanced-analytics/python/setup-python-client-tools-sql.md

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.\Scripts\jupyter-notebook
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```
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A notebook should open in your default browser at `http://localhost:8889/tree`.
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A notebook should open in your default browser at `https://localhost:8889/tree`.
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Another way to start is double-click **jupyter-notebook.exe**.
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docs/advanced-analytics/python/what-is-revoscalepy.md

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You can get help on any Python function by importing the module, and then calling `help()`. For example, running `help(revoscalepy)` from your Python IDE returns a list of all functions in the revoscalepy module, with their signatures.
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If you use Python Tools for Visual Studio, you can use IntelliSense to get syntax and argument help. For more information, see [Python support in Visual Studio](http://docs.microsoft.com/visualstudio/python/installation), and download the extension that matches your version of Visual Studio. You can use Python with Visual Studio 2015 and 2017, or earlier versions.
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If you use Python Tools for Visual Studio, you can use IntelliSense to get syntax and argument help. For more information, see [Python support in Visual Studio](https://docs.microsoft.com/visualstudio/python/installation), and download the extension that matches your version of Visual Studio. You can use Python with Visual Studio 2015 and 2017, or earlier versions.
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## See Also
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docs/advanced-analytics/r/create-a-local-package-repository-using-minicran.md

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# Create a local R package repository using miniCRAN
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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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[miniCRAN](https://cran.r-project.org/web/packages/miniCRAN/index.html) package, created by [Andre de Vries](http://blog.revolutionanalytics.com/2016/05/minicran-sql-server.html), identifies and downloads packages and dependencies into a single folder, which you can copy to other computers for offline R package installation.
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[miniCRAN](https://cran.r-project.org/web/packages/miniCRAN/index.html) package, created by [Andre de Vries](https://blog.revolutionanalytics.com/2016/05/minicran-sql-server.html), identifies and downloads packages and dependencies into a single folder, which you can copy to other computers for offline R package installation.
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As an input, specify one or more packages. **miniCRAN** recursively reads the dependency tree for these packages and downloads only the listed packages and their dependencies from CRAN or similar repositories.
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docs/advanced-analytics/r/how-to-create-mdx-queries-using-olapr.md

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+ Create the cube that is used in these examples by following the Analysis Services tutorial up to Lesson 4:
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[Creating an OLAP cube](../../analysis-services/multidimensional-modeling-adventure-works-tutorial.md)
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+ Download an existing cube as a backup, and restore it to an instance of Analysis Services. For example, this site provides a fully processed cube in zipped format: [Adventure Works Multidimensional Model SQL 2014](http://msftdbprodsamples.codeplex.com/downloads/get/882334). Extract the file, and then restore it to your SSAS instance. For more information, see [Backup and restore](../../analysis-services/multidimensional-models/backup-and-restore-of-analysis-services-databases.md), or [Restore-ASDatabase Cmdlet](../../analysis-services/powershell/restore-asdatabase-cmdlet.md).
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+ Download an existing cube as a backup, and restore it to an instance of Analysis Services. For example, this site provides a fully processed cube in zipped format: [Adventure Works Multidimensional Model SQL 2014](https://msftdbprodsamples.codeplex.com/downloads/get/882334). Extract the file, and then restore it to your SSAS instance. For more information, see [Backup and restore](../../analysis-services/multidimensional-models/backup-and-restore-of-analysis-services-databases.md), or [Restore-ASDatabase Cmdlet](../../analysis-services/powershell/restore-asdatabase-cmdlet.md).
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### 1. Basic MDX with slicer
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docs/advanced-analytics/r/install-additional-r-packages-on-sql-server.md

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For installation on a server without internet access, you must download a copy of the package in the format of a zipped file for offline installation. **Do not unzip the package.**
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For example, the following procedure describes now to get the correct version of the [FISHalyseR](http://bioconductor.org/packages/release/bioc/html/FISHalyseR.html) package from Bioconductor, assuming the computer has access to the internet.
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For example, the following procedure describes now to get the correct version of the [FISHalyseR](https://bioconductor.org/packages/release/bioc/html/FISHalyseR.html) package from Bioconductor, assuming the computer has access to the internet.
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1. In the **Package Archives** list, find the **Windows binary** version.
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docs/advanced-analytics/r/install-r-packages-tsql.md

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If you are installing a single package, download the package in zipped format.
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It's more common to install multiple packages due to package dependencies. When a package requires other packages, you must verify that all of them are accessible to each other during installation. We recommend [creating a local repository](create-a-local-package-repository-using-minicran.md) using [miniCRAN](http://andrie.github.io/miniCRAN/) to assemble a full collection of packages, as well as [igraph](http://igraph.org/r/) for analyzing packages dependencies. Installing the wrong version of a package or omitting a package dependency can cause a CREATE EXTERNAL LIBRARY statement to fail.
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It's more common to install multiple packages due to package dependencies. When a package requires other packages, you must verify that all of them are accessible to each other during installation. We recommend [creating a local repository](create-a-local-package-repository-using-minicran.md) using [miniCRAN](https://andrie.github.io/miniCRAN/) to assemble a full collection of packages, as well as [igraph](https://igraph.org/r/) for analyzing packages dependencies. Installing the wrong version of a package or omitting a package dependency can cause a CREATE EXTERNAL LIBRARY statement to fail.
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## Copy the file to a local folder
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docs/advanced-analytics/r/packages-installed-in-user-libraries.md

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### Package dependencies
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R packages frequently depend on multiple other packages, some of which might not be available in the default R library used by the instance. Sometimes a package requires a different version of a dependent package that is already installed. Package dependencies are noted in a DESCRIPTION file embedded in the package, but are sometimes incomplete. You can use a package called [iGraph](http://igraph.org/r/) to fully articulate the dependency graph.
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R packages frequently depend on multiple other packages, some of which might not be available in the default R library used by the instance. Sometimes a package requires a different version of a dependent package that is already installed. Package dependencies are noted in a DESCRIPTION file embedded in the package, but are sometimes incomplete. You can use a package called [iGraph](https://igraph.org/r/) to fully articulate the dependency graph.
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If you need to install multiple packages, or want to ensure that everyone in your organization gets the correct package type and version, we recommend that you use the [miniCRAN](https://mran.microsoft.com/package/miniCRAN) package to analyze the complete dependency chain. minicRAN creates a local repository that can be shared among multiple users or computers. For more information, see [Create a local package repository using miniCRAN](create-a-local-package-repository-using-minicran.md).
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