Update samples metadata (dotnet#924)

* Update samples metadata * Update README.md * Updated Azure Functions * Update README.md
ylu3 · Sep 23, 2021 · 094084a · 094084a
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diff --git a/samples/csharp/end-to-end-apps/ScalableMLModelOnAzureFunction/README.md b/samples/csharp/end-to-end-apps/ScalableMLModelOnAzureFunction/README.md
@@ -1,3 +1,19 @@
+---
+page_type: sample
+name: "Deploy an ML.NET machine learning model to Azure Functions"
+description: "Deploy an ML.NET machine learning model to an Azure Functions serverless environment"
+urlFragment: "mlnet-deploy-serverless-azure-functions"
+languages:
+- csharp
+products:
+- dotnet
+- dotnet-core
+- vs
+- azure
+- azure-functions
+- mlnet
+---
+
 # Azure Functions Sentiment Analysis Sample 
 
 This sample highlights dependency injection in conjunction with the **.NET Core Integration Package** to build a scalable, serverless Azure Functions application. 
@@ -96,4 +112,4 @@ If successful, the output should look similar to the text below:
 
 ```text
 Negative
-```
+```
diff --git a/samples/csharp/getting-started/AnomalyDetection_PhoneCalls/README.md b/samples/csharp/getting-started/AnomalyDetection_PhoneCalls/README.md
@@ -1,3 +1,17 @@
+---
+page_type: sample
+name: "Detect anomalies in phone call volumes using ML.NET"
+description: "Use ML.NET's time series anomaly detection algorithms to detect anomalies in phone call volumes"
+urlFragment: "mlnet-time-series-anomaly-detection"
+languages:
+- csharp
+products:
+- dotnet
+- dotnet-core
+- vs
+- mlnet
+---
+
 # Anomaly Detection of Numbers of Phone Calls
 
 | ML.NET version | API type          | Status                        | App Type    | Data type | Scenario            | ML Task                   | Algorithms                  |

diff --git a/samples/modelbuilder/BinaryClassification_Sentiment_Razor/README.md b/samples/modelbuilder/BinaryClassification_Sentiment_Razor/README.md
@@ -1,3 +1,19 @@
+---
+page_type: sample
+name: "Train a sentiment analysis machine learning model with ML.NET Model Builder"
+description: "Train a machine learning model to analyze and classify sentiment using ML.NET Model Builder"
+urlFragment: "mlnet-sentiment-analysis-model-builder"
+languages:
+- csharp
+products:
+- dotnet
+- dotnet-core
+- aspnet-core
+- vs
+- vs-ide
+- mlnet
+---
+
 # Sentiment Analysis: Razor Pages sample optimized for scalability and performance when running/scoring an ML.NET model built with Model Builder (Using the new '.NET Core Integration Package for ML.NET')
 
 

diff --git a/samples/modelbuilder/ImageClassification_Azure_LandUse/README.md b/samples/modelbuilder/ImageClassification_Azure_LandUse/README.md
@@ -10,8 +10,10 @@ products:
 - dotnet-core
 - aspnet-core
 - vs
+- vs-ide
 - windows
 - windows-uwp
+- mlnet
 ---
 
 # Image Classification in Azure with Model Builder

diff --git a/samples/modelbuilder/MulticlassClassification_RestaurantViolations/README.md b/samples/modelbuilder/MulticlassClassification_RestaurantViolations/README.md
@@ -1,9 +1,25 @@
+---
+page_type: sample
+name: "Categorize the severity of restaurant health violations using ML.NET Model Builder"
+description: "Train a machine learning model to categorize the severity of restaurant health violations using ML.NET Model Builder"
+urlFragment: "mlnet-multiclass-classification-model-builder"
+languages:
+- csharp
+products:
+- dotnet
+- dotnet-core
+- aspnet-core
+- vs
+- vs-ide
+- mlnet
+---
+
 # Restaurant Violation Inspections
 
 
 | ML.NET version | Status                        | App Type    | Data type | Scenario            | ML Task                   | Algorithms                  |
 |----------------|-------------------------------|-------------|-----------|---------------------|---------------------------|-----------------------------|
-| v1.3.1           | Up-to-date | Console App | Single data sample | Issue Classification | Multiclass classification | Linear Classification |
+| v1.6.0       | Up-to-date | Console App | Single data sample | Issue Classification | Multiclass classification | Linear Classification |
 
 For a detailed explanation of how to build this application, see the accompanying [tutorial](https://docs.microsoft.com/en-us/dotnet/machine-learning/tutorials/health-violation-classification-model-builder) on the Microsoft Docs site.
 

diff --git a/samples/modelbuilder/ObjectDetection_StopSigns/README.md b/samples/modelbuilder/ObjectDetection_StopSigns/README.md
@@ -1,3 +1,19 @@
+---
+page_type: sample
+name: "Train a deep learning object detection model to detect stop signs"
+description: "Train a deep learning object detection model to detect stop signs in images"
+urlFragment: "mlnet-object-detection-model-builder"
+languages:
+- csharp
+products:
+- dotnet
+- dotnet-core
+- aspnet-core
+- vs
+- vs-ide
+- mlnet
+---
+
 # Stop Sign Object Detection
 
 | ML.NET version | Status                        | App Type    | Data type | Scenario            | ML Task                   | Algorithms                  |