Update file names

PeterCLu · PeterCLu · commit 1c8156dd137e · 2019-09-18T11:02:43.000-07:00
diff --git a/articles/machine-learning/index.yml b/articles/machine-learning/index.yml
@@ -82,11 +82,11 @@ landingContent:
       - linkListType: how-to-guide
         links:
           - text: Predict credit risk
-            url: service/ui-how-to-classification-predict-credit-risk-cost-sensitive.md                 
+            url: service/how-to-ui-sample-classification-predict-credit-risk-cost-sensitive.md                 
           - text: Predict delays
-            url: service/ui-how-to-classification-predict-flight-delay.md
+            url: service/how-to-ui-sample-classification-predict-flight-delay.md
           - text: Predict churn
-            url: service/ui-how-to-classification-predict-churn.md     
+            url: service/how-to-ui-sample-classification-predict-churn.md     
 
   # MLOps
   - title: Deploy & manage models
diff --git a/articles/machine-learning/service/how-to-ui-sample-classification-predict-churn.md b/articles/machine-learning/service/how-to-ui-sample-classification-predict-churn.md
@@ -70,8 +70,8 @@ Visualize the output of the **Evaluate Model** module to see the performance of
 
 Explore the other samples available for the visual interface:
 
-- [Sample 1 - Regression: Predict an automobile's price](ui-how-to-regression-predict-automobile-price-basic.md)
-- [Sample 2 - Regression: Compare algorithms for automobile price prediction](ui-how-to-regression-predict-automobile-price-compare-algorithms.md)
-- [Sample 3 - Classification: Predict credit risk](ui-how-to-classification-predict-credit-risk-basic.md)
-- [Sample 4 - Classification: Predict credit risk (cost sensitive)](ui-how-to-classification-predict-credit-risk-cost-sensitive.md)
-- [Sample 6 - Classification: Predict flight delays](ui-how-to-classification-predict-flight-delay.md)
+- [Sample 1 - Regression: Predict an automobile's price](how-to-ui-sample-regression-predict-automobile-price-basic.md)
+- [Sample 2 - Regression: Compare algorithms for automobile price prediction](how-to-ui-sample-regression-predict-automobile-price-compare-algorithms.md)
+- [Sample 3 - Classification: Predict credit risk](how-to-ui-sample-classification-predict-credit-risk-basic.md)
+- [Sample 4 - Classification: Predict credit risk (cost sensitive)](how-to-ui-sample-classification-predict-credit-risk-cost-sensitive.md)
+- [Sample 6 - Classification: Predict flight delays](how-to-ui-sample-classification-predict-flight-delay.md)
diff --git a/articles/machine-learning/service/how-to-ui-sample-classification-predict-credit-risk-basic.md b/articles/machine-learning/service/how-to-ui-sample-classification-predict-credit-risk-basic.md
@@ -32,7 +32,7 @@ Here's the final pipeline graph for this sample:
 
 ## Related sample
 
-[Sample 4 - Classification: Credit Risk Prediction (Cost Sensitive)](ui-how-to-classification-predict-credit-risk-cost-sensitive.md)
+[Sample 4 - Classification: Credit Risk Prediction (Cost Sensitive)](how-to-ui-sample-classification-predict-credit-risk-cost-sensitive.md)
 provides an advanced pipeline that solves the same problem as this pipeline. It shows how to perform *cost sensitive* classification by using an **Execute Python Script** module and compare the performance of two binary classification algorithms. Refer to it if you want to learn more about how to build classification pipelines.
 
 ## Data
@@ -66,8 +66,8 @@ In the evaluation results, you can see that the AUC of the model is 0.776. At th
 
 Explore the other samples available for the visual interface:
 
-- [Sample 1 - Regression: Predict an automobile's price](ui-how-to-regression-predict-automobile-price-basic.md)
-- [Sample 2 - Regression: Compare algorithms for automobile price prediction](ui-how-to-regression-predict-automobile-price-compare-algorithms.md)
-- [Sample 4 - Classification: Predict credit risk (cost sensitive)](ui-how-to-classification-predict-credit-risk-cost-sensitive.md)
-- [Sample 5 - Classification: Predict churn](ui-how-to-classification-predict-churn.md)
-- [Sample 6 - Classification: Predict flight delays](ui-how-to-classification-predict-flight-delay.md)
+- [Sample 1 - Regression: Predict an automobile's price](how-to-ui-sample-regression-predict-automobile-price-basic.md)
+- [Sample 2 - Regression: Compare algorithms for automobile price prediction](how-to-ui-sample-regression-predict-automobile-price-compare-algorithms.md)
+- [Sample 4 - Classification: Predict credit risk (cost sensitive)](how-to-ui-sample-classification-predict-credit-risk-cost-sensitive.md)
+- [Sample 5 - Classification: Predict churn](how-to-ui-sample-classification-predict-churn.md)
+- [Sample 6 - Classification: Predict flight delays](how-to-ui-sample-classification-predict-flight-delay.md)
diff --git a/articles/machine-learning/service/how-to-ui-sample-classification-predict-credit-risk-cost-sensitive.md b/articles/machine-learning/service/how-to-ui-sample-classification-predict-credit-risk-cost-sensitive.md
@@ -18,7 +18,7 @@ This article shows you how to build a complex machine learning experiment using
 
 This sample trains a classifier to predict credit risk using credit application information such as credit history, age, and number of credit cards. However, you can apply the concepts in this article to tackle your own machine learning problems.
 
-If you're just getting started with machine learning, you can take a look at the [basic classifier sample](ui-how-to-classification-predict-credit-risk-basic.md) first.
+If you're just getting started with machine learning, you can take a look at the [basic classifier sample](how-to-ui-sample-classification-predict-credit-risk-basic.md) first.
 
 Here's the completed graph for this experiment:
 
@@ -155,8 +155,8 @@ From these results, you can see that the best accuracy is provided by the model
 
 Explore the other samples available for the visual interface:
 
-- [Sample 1 - Regression: Predict an automobile's price](ui-how-to-regression-predict-automobile-price-basic.md)
-- [Sample 2 - Regression: Compare algorithms for automobile price prediction](ui-how-to-regression-predict-automobile-price-compare-algorithms.md)
-- [Sample 3 - Classification: Predict credit risk](ui-how-to-classification-predict-credit-risk-basic.md)
-- [Sample 5 - Classification: Predict churn](ui-how-to-classification-predict-churn.md)
-- [Sample 6 - Classification: Predict flight delays](ui-how-to-classification-predict-flight-delay.md)
+- [Sample 1 - Regression: Predict an automobile's price](how-to-ui-sample-regression-predict-automobile-price-basic.md)
+- [Sample 2 - Regression: Compare algorithms for automobile price prediction](how-to-ui-sample-regression-predict-automobile-price-compare-algorithms.md)
+- [Sample 3 - Classification: Predict credit risk](how-to-ui-sample-classification-predict-credit-risk-basic.md)
+- [Sample 5 - Classification: Predict churn](how-to-ui-sample-classification-predict-churn.md)
+- [Sample 6 - Classification: Predict flight delays](how-to-ui-sample-classification-predict-flight-delay.md)
diff --git a/articles/machine-learning/service/how-to-ui-sample-classification-predict-flight-delay.md b/articles/machine-learning/service/how-to-ui-sample-classification-predict-flight-delay.md
@@ -116,8 +116,8 @@ The logistic regression model has AUC of 0.631 on the test set.
 
 Explore the other samples available for the visual interface:
 
-- [Sample 1 - Regression: Predict an automobile's price](ui-how-to-regression-predict-automobile-price-basic.md)
-- [Sample 2 - Regression: Compare algorithms for automobile price prediction](ui-how-to-regression-predict-automobile-price-compare-algorithms.md)
-- [Sample 3 - Classification: Predict credit risk](ui-how-to-classification-predict-credit-risk-basic.md)
-- [Sample 4 - Classification: Predict credit risk (cost sensitive)](ui-how-to-classification-predict-credit-risk-cost-sensitive.md)
-- [Sample 5 - Classification: Predict churn](ui-how-to-classification-predict-churn.md)
+- [Sample 1 - Regression: Predict an automobile's price](how-to-ui-sample-regression-predict-automobile-price-basic.md)
+- [Sample 2 - Regression: Compare algorithms for automobile price prediction](how-to-ui-sample-regression-predict-automobile-price-compare-algorithms.md)
+- [Sample 3 - Classification: Predict credit risk](how-to-ui-sample-classification-predict-credit-risk-basic.md)
+- [Sample 4 - Classification: Predict credit risk (cost sensitive)](how-to-ui-sample-classification-predict-credit-risk-cost-sensitive.md)
+- [Sample 5 - Classification: Predict churn](how-to-ui-sample-classification-predict-churn.md)
diff --git a/articles/machine-learning/service/how-to-ui-sample-regression-predict-automobile-price-basic.md b/articles/machine-learning/service/how-to-ui-sample-regression-predict-automobile-price-basic.md
@@ -79,8 +79,8 @@ Pass the scores to the **Evaluate Model** module to generate evaluation metrics.
 
 Explore the other samples available for the visual interface:
 
-- [Sample 2 - Regression: Compare algorithms for automobile price prediction](ui-how-to-regression-predict-automobile-price-compare-algorithms.md)
-- [Sample 3 - Classification: Predict credit risk](ui-how-to-classification-predict-credit-risk-basic.md)
-- [Sample 4 - Classification: Predict credit risk (cost sensitive)](ui-how-to-classification-predict-credit-risk-cost-sensitive.md)
-- [Sample 5 - Classification: Predict churn](ui-how-to-classification-predict-churn.md)
-- [Sample 6 - Classification: Predict flight delays](ui-how-to-classification-predict-flight-delay.md)
+- [Sample 2 - Regression: Compare algorithms for automobile price prediction](how-to-ui-sample-regression-predict-automobile-price-compare-algorithms.md)
+- [Sample 3 - Classification: Predict credit risk](how-to-ui-sample-classification-predict-credit-risk-basic.md)
+- [Sample 4 - Classification: Predict credit risk (cost sensitive)](how-to-ui-sample-classification-predict-credit-risk-cost-sensitive.md)
+- [Sample 5 - Classification: Predict churn](how-to-ui-sample-classification-predict-churn.md)
+- [Sample 6 - Classification: Predict flight delays](how-to-ui-sample-classification-predict-flight-delay.md)
diff --git a/articles/machine-learning/service/how-to-ui-sample-regression-predict-automobile-price-compare-algorithms.md b/articles/machine-learning/service/how-to-ui-sample-regression-predict-automobile-price-compare-algorithms.md
@@ -16,7 +16,7 @@ ms.date: 05/10/2019
 
 Learn how to build a complex machine learning experiment without writing a single line of code using the visual interface. This sample trains and compares multiple regression models to predict a car's price based on its technical features. We'll provide the rationale for the choices made in this experiment so you can tackle your own machine learning problems.
 
-If you're just getting started with machine learning, take a look at the [basic version](ui-how-to-regression-predict-automobile-price-basic.md) of this pipeline.
+If you're just getting started with machine learning, take a look at the [basic version](how-to-ui-sample-regression-predict-automobile-price-basic.md) of this pipeline.
 
 Here's the completed graph for this experiment:
 
@@ -90,8 +90,8 @@ Both algorithms have a lower error on the training dataset than on the unseen te
 
 Explore the other samples available for the visual interface:
 
-- [Sample 1 - Regression: Predict an automobile's price](ui-how-to-regression-predict-automobile-price-basic.md)
-- [Sample 3 - Classification: Predict credit risk](ui-how-to-classification-predict-credit-risk-basic.md)
-- [Sample 4 - Classification: Predict credit risk (cost sensitive)](ui-how-to-classification-predict-credit-risk-cost-sensitive.md)
-- [Sample 5 - Classification: Predict churn](ui-how-to-classification-predict-churn.md)
-- [Sample 6 - Classification: Predict flight delays](ui-how-to-classification-predict-flight-delay.md)
+- [Sample 1 - Regression: Predict an automobile's price](how-to-ui-sample-regression-predict-automobile-price-basic.md)
+- [Sample 3 - Classification: Predict credit risk](how-to-ui-sample-classification-predict-credit-risk-basic.md)
+- [Sample 4 - Classification: Predict credit risk (cost sensitive)](how-to-ui-sample-classification-predict-credit-risk-cost-sensitive.md)
+- [Sample 5 - Classification: Predict churn](how-to-ui-sample-classification-predict-churn.md)
+- [Sample 6 - Classification: Predict flight delays](how-to-ui-sample-classification-predict-flight-delay.md)
diff --git a/articles/machine-learning/service/toc.yml b/articles/machine-learning/service/toc.yml
@@ -249,22 +249,22 @@
     items:
     - name: "Predict price"
       displayName: regression, studio
-      href:  ui-how-to-regression-predict-automobile-price-basic.md
+      href:  how-to-ui-sample-regression-predict-automobile-price-basic.md
     - name: "Predict price (advanced)"
       displayName: regression, studio
-      href: ui-how-to-regression-predict-automobile-price-compare-algorithms.md
+      href: how-to-ui-sample-regression-predict-automobile-price-compare-algorithms.md
     - name: "Predict credit risk"
       displayName: classification, studio
-      href:  ui-how-to-classification-predict-credit-risk-basic.md
+      href:  how-to-ui-sample-classification-predict-credit-risk-basic.md
     - name: "Predict credit risk (advanced)"
       displayName: classification, studio
-      href: ui-how-to-classification-predict-credit-risk-cost-sensitive.md
+      href: how-to-ui-sample-classification-predict-credit-risk-cost-sensitive.md
     - name: "Predict churn"
       displayName: classification, studio
-      href:  ui-how-to-classification-predict-churn.md
+      href:  how-to-ui-sample-classification-predict-churn.md
     - name: "Predict flight delays"
       displayName: classification, studio
-      href:  ui-how-to-classification-predict-flight-delay.md
+      href:  how-to-ui-sample-classification-predict-flight-delay.md
   - name: Manage resource quotas
     displayName: limits
     href: how-to-manage-quotas.md
diff --git a/articles/machine-learning/service/ui-concept-visual-interface.md b/articles/machine-learning/service/ui-concept-visual-interface.md
@@ -91,8 +91,8 @@ To learn how to deploy your model, see [Tutorial: Deploy a machine learning mode
 
 * Learn the basics of predictive analytics and machine learning with [Tutorial: Predict automobile price with the visual interface](ui-tutorial-automobile-price-train-score.md)
 * Use one of the samples and modify to suite your needs:
-    * [Sample 1 - Regression: Predict price](ui-how-to-regression-predict-automobile-price-basic.md)
-    * [Sample 2 - Regression: Predict price and compare algorithms](ui-how-to-regression-predict-automobile-price-compare-algorithms.md)
-    * [Sample 3 - Classification: Predict credit risk](ui-how-to-classification-predict-credit-risk-basic.md)
-    * [Sample 4 - Classification: Predict credit risk (cost sensitive)](ui-how-to-classification-predict-credit-risk-cost-sensitive.md)
-    * [Sample 5 - Classification: Predict churn, appetency, and up-selling](ui-how-to-classification-predict-churn.md)
+    * [Sample 1 - Regression: Predict price](how-to-ui-sample-regression-predict-automobile-price-basic.md)
+    * [Sample 2 - Regression: Predict price and compare algorithms](how-to-ui-sample-regression-predict-automobile-price-compare-algorithms.md)
+    * [Sample 3 - Classification: Predict credit risk](how-to-ui-sample-classification-predict-credit-risk-basic.md)
+    * [Sample 4 - Classification: Predict credit risk (cost sensitive)](how-to-ui-sample-classification-predict-credit-risk-cost-sensitive.md)
+    * [Sample 5 - Classification: Predict churn, appetency, and up-selling](how-to-ui-sample-classification-predict-churn.md)
diff --git a/articles/machine-learning/service/ui-tutorial-automobile-price-deploy.md b/articles/machine-learning/service/ui-tutorial-automobile-price-deploy.md
@@ -126,4 +126,4 @@ You can also find these models and deployments in the **Models** and **Endpoints
 In this tutorial, you learned the key steps in creating, deploying, and consuming a machine learning model in the visual interface. To learn more about how you can use the visual interface to solve other types of problems, see out our other sample experiments.
 
 > [!div class="nextstepaction"]
-> [Credit risk classification sample](ui-how-to-classification-predict-credit-risk-cost-sensitive.md)
+> [Credit risk classification sample](how-to-ui-sample-classification-predict-credit-risk-cost-sensitive.md)
