Fixed links and monikers

Author: davidpeterh

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

@@ -13,9 +13,9 @@ monikerRange: ">=sql-server-2017||=azuresqldb-current||>=sql-server-linux-2017||
 ---
 
 # Native scoring using the PREDICT T-SQL function with SQL machine learning
-[!INCLUDE[tsql-appliesto-ss2017-asdb-asdbmi-asdw-xxx-md](../includes/tsql-appliesto-ss2017-asdb-asdbmi-asdw-xxx-md.md)]
+[!INCLUDE[tsql-appliesto-ss2017-asdb-asdbmi-asdw-xxx-md](../../includes/tsql-appliesto-ss2017-asdb-asdbmi-asdw-xxx-md.md)]
 
-Learn how to use native scoring with the [PREDICT T-SQL function](../t-sql/queries/predict-transact-sql.md) to generate prediction values for new data inputs in near-real-time. Native scoring requires that you have an already trained model.
+Learn how to use native scoring with the [PREDICT T-SQL function](../../t-sql/queries/predict-transact-sql.md) to generate prediction values for new data inputs in near-real-time. Native scoring requires that you have an already trained model.
 
 The `PREDICT` function uses the native C++ extension capabilities in SQL machine learning. This methodology offers the fastest possible processing speed of forecasting and prediction workloads and support models in ONNX format or models trained using the RevoScaleR/revoscalepy packages.
 
@@ -81,7 +81,7 @@ 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 models from MicrosoftML or microsoftml, use [real-time scoring with sp_rxPredict](real-time-scoring.md).
+If you need to use models from MicrosoftML or microsoftml, use [real-time scoring with sp_rxPredict](../real-time-scoring.md).
 
 Unsupported model types include the following types:
 
@@ -229,5 +229,5 @@ If you get the error, "Error occurred during execution of the function PREDICT.
 
 ## Next steps
 
-+ [PREDICT T-SQL function](../t-sql/queries/predict-transact-sql.md)
++ [PREDICT T-SQL function](../../t-sql/queries/predict-transact-sql.md)
 + [SQL machine learning documentation](../index.yml)

docs/t-sql/queries/predict-transact-sql.md

@@ -2,7 +2,7 @@
 title: "PREDICT (Transact-SQL)"
 titleSuffix: SQL machine learning
 ms.custom: ""
-ms.date: "06/16/2020"
+ms.date: "06/26/2020"
 ms.prod: sql
 ms.prod_service: "sql-database"
 ms.reviewer: ""
@@ -22,11 +22,7 @@ monikerRange: ">=sql-server-2017||=azuresqldb-current||>=sql-server-linux-2017||
 # PREDICT (Transact-SQL)  
 [!INCLUDE[tsql-appliesto-ss2017-asdb-asdbmi-asdw-xxx-md](../../includes/tsql-appliesto-ss2017-asdb-asdbmi-asdw-xxx-md.md)]
 
-Generates a predicted value or scores based on a stored model.
-
-::: moniker range=">=sql-server-2017||=azuresqldb-current||>=sql-server-linux-2017||=azuresqldb-mi-current||=sqlallproducts-allversions"
-For more information, see [Native scoring using the PREDICT T-SQL function](../../machine-learning/sql-native-scoring.md).
-::: moniker-end
+Generates a predicted value or scores based on a stored model. For more information, see [Native scoring using the PREDICT T-SQL function](../../machine-learning/predictions/native-scoring-predict-transact-sql.md).
 
 ## Syntax
 
@@ -159,9 +155,7 @@ FROM PREDICT(MODEL = @model, DATA = dbo.mytable AS d) WITH(score float) AS p;
 
 ## Next steps
 
-::: moniker range=">=sql-server-2017||=azuresqldb-current||>=sql-server-linux-2017||=azuresqldb-mi-current||=sqlallproducts-allversions"
-- [Native scoring using the PREDICT T-SQL function](../../machine-learning/sql-native-scoring.md)
-::: moniker-end
+- [Native scoring using the PREDICT T-SQL function](../../machine-learning/predictions/native-scoring-predict-transact-sql.md)
 ::: moniker range="=azure-sqldw-latest||=azuresqldb-mi-current||=sqlallproducts-allversions"
 -	[Learn more about ONNX models](/azure/machine-learning/concept-onnx#get-onnx-models)
 ::: moniker-end