Fixed links to files in new locations

Author: garyericson

docs/machine-learning/install/sql-ml-cab-downloads.md

@@ -124,7 +124,7 @@ CAB files are listed in reverse chronological order. When you download the CAB f
 | | Microsoft R Open     |[SRO_3.3.3.300_1033.cab](https://go.microsoft.com/fwlink/?LinkId=863894)|
 | | R Server      |[SRS_9.2.0.300_1033.cab](https://go.microsoft.com/fwlink/?LinkId=863893)|
 | | Microsoft Python Open     |[SPO_9.2.0.24_1033.cab](https://go.microsoft.com/fwlink/?LinkId=851502)| No change from previous versions. |
-| | Python Server    |[SPS_9.2.0.300_1033.cab](https://go.microsoft.com/fwlink/?LinkId=863892)| Python model serialization in revoscalepy, using the [rx_serialize_model function](https://docs.microsoft.com/machine-learning-server/python-reference/revoscalepy/rx-serialize-model).<br/>[Native scoring](../sql-native-scoring.md) support, plus enhancements to [real-time scoring](../real-time-scoring.md). 
+| | Python Server    |[SPS_9.2.0.300_1033.cab](https://go.microsoft.com/fwlink/?LinkId=863892)| Python model serialization in revoscalepy, using the [rx_serialize_model function](https://docs.microsoft.com/machine-learning-server/python-reference/revoscalepy/rx-serialize-model).<br/>[Native scoring](../sql-native-scoring.md) support, plus enhancements to [real-time scoring](../predictions/real-time-scoring.md). 
 |**[SQL Server 2017 CU1](https://support.microsoft.com/help/4038634)-[CU2](https://support.microsoft.com/help/4052574)** |  |  |  |
 | | Microsoft R Open     | [SRO_3.3.3.24_1033.cab](https://go.microsoft.com/fwlink/?LinkId=851496)| No change from previous versions. |
 | | R Server      |[SRS_9.2.0.100_1033.cab](https://go.microsoft.com/fwlink/?LinkId=851501)|

docs/machine-learning/install/sql-ml-component-install-without-internet-access.md

@@ -210,4 +210,4 @@ An initial offline installation of SQL Server R Services requires the same confi
 
 ## Next steps
 
-For help with any unfamiliar messages or log entries, see [Upgrade and installation FAQ - Machine Learning Services](../upgrade-and-installation-faq-sql-server-r-services.md).
+For help with any unfamiliar messages or log entries, see [Upgrade and installation FAQ - Machine Learning Services](../troubleshooting/upgrade-and-installation-faq-sql-server-r-services.md).

docs/machine-learning/install/sql-r-services-windows-install.md

@@ -206,7 +206,7 @@ On the database, you might need the following configuration updates:
 * [Add SQLRUserGroup as a database user](../../machine-learning/security/create-a-login-for-sqlrusergroup.md)
 
 > [!NOTE]
-> Not all the listed changes are required, and none might be required. Requirements depend on your security schema, where you installed SQL Server, and how you expect users to connect to the database and run external scripts. Additional troubleshooting tips can be found here: [Upgrade and installation FAQ](../upgrade-and-installation-faq-sql-server-r-services.md)
+> Not all the listed changes are required, and none might be required. Requirements depend on your security schema, where you installed SQL Server, and how you expect users to connect to the database and run external scripts. Additional troubleshooting tips can be found here: [Upgrade and installation FAQ](../troubleshooting/upgrade-and-installation-faq-sql-server-r-services.md)
 
 ## Suggested optimizations
 

docs/machine-learning/package-management/install-additional-python-packages-on-sql-server.md

@@ -58,7 +58,7 @@ For more information about package location and installation paths, see [Get Pyt
     + Packages that require elevated file system access
     + Packages used for web development or other tasks that don't benefit by running inside SQL Server
 
-  + The Python package **tensorflow** cannot be installed using sqlmlutils. For more information and a workaround, see [Known issues in SQL Server Machine Learning Services](../known-issues-for-sql-server-machine-learning-services.md#9-cannot-install-tensorflow-package-using-sqlmlutils).
+  + The Python package **tensorflow** cannot be installed using sqlmlutils. For more information and a workaround, see [Known issues in SQL Server Machine Learning Services](../troubleshooting/known-issues-for-sql-server-machine-learning-services.md#9-cannot-install-tensorflow-package-using-sqlmlutils).
 
 ## Install sqlmlutils on the client computer
 

docs/machine-learning/predictions/how-to-do-realtime-scoring.md

@@ -23,7 +23,7 @@ The following table summarizes the scoring frameworks for forecasting and predic
 | Methodology           | Interface         | Library requirements | Processing speeds |
 |-----------------------|-------------------|----------------------|----------------------|
 | Extensibility framework | [rxPredict (R)](https://docs.microsoft.com/machine-learning-server/r-reference/revoscaler/rxpredict) <br/>[rx_predict (Python)](https://docs.microsoft.com/machine-learning-server/python-reference/revoscalepy/rx-predict) | None. Models can be based on any R or Python function | Hundreds of milliseconds. <br/>Loading a runtime environment has a fixed cost, averaging three to six hundred milliseconds, before any new data is scored. |
-| [Real-time scoring CLR extension](../real-time-scoring.md) | [sp_rxPredict](https://docs.microsoft.com/sql/relational-databases/system-stored-procedures/sp-rxpredict-transact-sql) on a serialized model | R: RevoScaleR, MicrosoftML <br/>Python: revoscalepy, microsoftml | Tens of milliseconds, on average. |
+| [Real-time scoring CLR extension](../predictions/real-time-scoring.md) | [sp_rxPredict](https://docs.microsoft.com/sql/relational-databases/system-stored-procedures/sp-rxpredict-transact-sql) on a serialized model | R: RevoScaleR, MicrosoftML <br/>Python: revoscalepy, microsoftml | Tens of milliseconds, on average. |
 | [Native scoring C++ extension](../sql-native-scoring.md) | [PREDICT T-SQL function](https://docs.microsoft.com/sql/t-sql/queries/predict-transact-sql) on a serialized model | R: RevoScaleR <br/>Python: revoscalepy | Less than 20 milliseconds, on average. | 
 
 Speed of processing and not substance of the output is the differentiating feature. Assuming the same functions and inputs, the scored output should not vary based on the approach you use.
@@ -56,7 +56,7 @@ The extensibility framework supports any operation you might perform in R or Pyt
 
 To increase scoring speeds for scenarios like fraud detection, SQL Server added built-in scoring libraries as C++ and CLR extensions that eliminate the overhead of R and Python start-up processes.
 
-[**Real-time scoring**](../real-time-scoring.md) was the first solution for high-performance scoring. Introduced in early versions of SQL Server 2017 and later updates to SQL Server 2016, real-time scoring relies on CLR libraries that stand in for R and Python processing over Microsoft-controlled functions in RevoScaleR, MicrosoftML (R), revoscalepy, and microsoftml (Python). CLR libraries are invoked using the **sp_rxPredict** stored procedure to generates scores from any supported model type, without calling the R or Python runtime.
+[**Real-time scoring**](../predictions/real-time-scoring.md) was the first solution for high-performance scoring. Introduced in early versions of SQL Server 2017 and later updates to SQL Server 2016, real-time scoring relies on CLR libraries that stand in for R and Python processing over Microsoft-controlled functions in RevoScaleR, MicrosoftML (R), revoscalepy, and microsoftml (Python). CLR libraries are invoked using the **sp_rxPredict** stored procedure to generates scores from any supported model type, without calling the R or Python runtime.
 
 [**Native scoring**](../sql-native-scoring.md) is a SQL Server 2017 feature, implemented as a native C++ library, but only for RevoScaleR and revoscalepy models. It is the fastest and more secure approach, but supports a smaller set of functions relative to other methodologies.
 

docs/machine-learning/predictions/native-scoring-predict-transact-sql.md

@@ -90,7 +90,7 @@ The following algorithms are supported in revoscalepy and RevoScaleR.
   + [rxDtree](https://docs.microsoft.com/r-server/r-reference/revoscaler/rxdtree)
   + [rxDForest](https://docs.microsoft.com/r-server/r-reference/revoscaler/rxdforest)
 
-If you need to use an algorithms from MicrosoftML or microsoftml, use [real-time scoring with sp_rxPredict](../real-time-scoring.md).
+If you need to use an algorithms from MicrosoftML or microsoftml, use [real-time scoring with sp_rxPredict](../predictions/real-time-scoring.md).
 
 Unsupported model types include the following types:
 

docs/machine-learning/predictions/real-time-scoring.md

@@ -195,4 +195,4 @@ To disable real-time scoring functionality, open an elevated command prompt, and
 
 ## Next steps
 
-For more background on scoring in SQL Server, see [How to generate predictions in SQL Server machine learning](r/how-to-do-realtime-scoring.md).
+For more background on scoring in SQL Server, see [How to generate predictions in SQL Server machine learning](how-to-do-realtime-scoring.md).

docs/machine-learning/what-s-new-in-sql-server-machine-learning-services.md

@@ -96,7 +96,7 @@ For feature announcements all-up, see [What's New in SQL Server 2016](../sql-ser
 
 | Release |Feature update |
 |---------|----------------|
-| CU additions | [**Real-time scoring**](real-time-scoring.md) relies on native C++ libraries to read a model stored in an optimized binary format, and then generate predictions without having to call the R runtime. This makes scoring operations much faster. With real-time scoring, you can run a stored procedure or perform real-time scoring from R code. Real-time scoring is also available for SQL Server 2016, if the instance is upgraded to the latest release of [!INCLUDE[rsql-platform-md](../includes/rsql-platform-md.md)]. |
+| CU additions | [**Real-time scoring**](predictions/real-time-scoring.md) relies on native C++ libraries to read a model stored in an optimized binary format, and then generate predictions without having to call the R runtime. This makes scoring operations much faster. With real-time scoring, you can run a stored procedure or perform real-time scoring from R code. Real-time scoring is also available for SQL Server 2016, if the instance is upgraded to the latest release of [!INCLUDE[rsql-platform-md](../includes/rsql-platform-md.md)]. |
 | Initial release | [**R integration for in-database analytics**](r/sql-server-r-services.md). <br/><br/> R packages for calling R functions in T-SQL, and vice versa. RevoScaleR functions provide R analytics at scale by chunking data into component parts, coordinating and managing distributed processing, and aggregating results. In SQL Server 2016 R Services (In-Database), the RevoScaleR engine is integrated with a database engine instance, brining data and analytics together in the same processing context. <br/><br/>T-SQL and R integration through [sp_execute_external_script](https://docs.microsoft.com/sql/relational-databases/system-stored-procedures/sp-execute-external-script-transact-sql). You can call any R code using this stored procedure. This secure infrastructure enables enterprise-grade deployment of Rn models and scripts that can be called from an application using a simple stored procedure. Additional performance gains are achieved by streaming data from SQL to R processes and MPI ring parallelization. <br/><br/>You can use the T-SQL [PREDICT](../t-sql/queries/predict-transact-sql.md) function to perform [native scoring](sql-native-scoring.md) on a pre-trained model that has been previously saved in the required binary format.|
 
 ::: moniker-end

docs/relational-databases/system-stored-procedures/sp-rxpredict-transact-sql.md

@@ -25,7 +25,7 @@ Generates a predicted value for a given input consisting of a machine learning m
 
 Provides scoring on R and Python machine learning models in near real-time. `sp_rxPredict` is a stored procedure provided as a wrapper for the `rxPredict` R function in [RevoScaleR](https://docs.microsoft.com/r-server/r-reference/revoscaler/revoscaler) and [MicrosoftML](https://docs.microsoft.com/r-server/r-reference/microsoftml/microsoftml-package), and the [rx_predict](https://docs.microsoft.com/machine-learning-server/python-reference/revoscalepy/rx-predict) Python function in [revoscalepy](https://docs.microsoft.com/machine-learning-server/python-reference/revoscalepy/revoscalepy-package) and [microsoftml](https://docs.microsoft.com/machine-learning-server/python-reference/microsoftml/microsoftml-package). It is written in C++ and is optimized specifically for scoring operations.
 
-Although the model must be created using R or Python, once it is serialized and stored in a binary format on a target database engine instance, it can be consumed from that database engine instance even when R or Python integration is not installed. For more information, see [Real-time scoring with sp_rxPredict](https://docs.microsoft.com/sql/machine-learning/real-time-scoring).
+Although the model must be created using R or Python, once it is serialized and stored in a binary format on a target database engine instance, it can be consumed from that database engine instance even when R or Python integration is not installed. For more information, see [Real-time scoring with sp_rxPredict](https://docs.microsoft.com/sql/machine-learning/predictions/real-time-scoring).
 
 ## Syntax
 

docs/sql-server/sql-server-2017-release-notes.md

@@ -146,7 +146,7 @@ There are no release notes for SQL Server on Windows related to this release. Se
 
 ## More information
 - [SQL Server Reporting Services release notes](../reporting-services/release-notes-reporting-services.md).
-- [Known Issues for Machine Learning Services](../machine-learning/known-issues-for-sql-server-machine-learning-services.md)
+- [Known Issues for Machine Learning Services](../machine-learning/troubleshooting/known-issues-for-sql-server-machine-learning-services.md)
 - [SQL Server Update Center - links and information for all supported versions](https://msdn.microsoft.com/library/ff803383.aspx)
 
 [!INCLUDE[get-help-options](../includes/paragraph-content/get-help-options.md)]