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Add missing code to anomaly detection phone call tutorial #25384

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Merged
merged 5 commits into from
Aug 3, 2021
Merged

Add missing code to anomaly detection phone call tutorial #25384

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f3079a3
Update detectperiod signature
luisquintanilla Jul 28, 2021
90d1534
Added missing code snippet to return period.
luisquintanilla Jul 28, 2021
cf399f7
Specify working version to address issue 23888
luisquintanilla Jul 28, 2021
9ecb5e2
Merge branch 'main' of https://github.com/dotnet/docs into issue-25363
luisquintanilla Aug 3, 2021
1f09972
Add version-specific instructions
luisquintanilla Aug 3, 2021
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22 changes: 16 additions & 6 deletions docs/machine-learning/tutorials/phone-calls-anomaly-detection.md
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
---
title: 'Tutorial: Detect anomalies in phone calls'
description: Learn how to build an anomaly detection application for time series data. This tutorial creates a .NET Core console application using C# in Visual Studio 2019.
ms.date: 12/04/2020
ms.date: 07/28/2021
ms.topic: tutorial
ms.custom: mvc
recommendations: false
Expand Down Expand Up @@ -32,11 +32,17 @@ You can find the source code for this tutorial at the [dotnet/samples](https://g

2. Create a directory named *Data* in your project to save your data set files.

3. Install the **Microsoft.ML NuGet Package**:
3. Install the **Microsoft.ML NuGet Package** version **1.5.2**:

[!INCLUDE [mlnet-current-nuget-version](../../../includes/mlnet-current-nuget-version.md)]
1. In Solution Explorer, right-click on your project and select **Manage NuGet Packages**.
1. Choose "nuget.org" as the Package source.
1. Select the **Browse** tab.
1. Search for **Microsoft.ML**.
1. Select **Microsoft.ML** from the list of packages and choose version **1.5.2** from the **Version** dropdown.
1. Select the **Install** button.
1. Select the **OK** button on the **Preview Changes** dialog and then select the **I Accept** button on the **License Acceptance** dialog if you agree with the license terms for the packages listed.

In Solution Explorer, right-click on your project and select **Manage NuGet Packages**. Choose "nuget.org" as the Package source, select the Browse tab, search for **Microsoft.ML** and select the **Install** button. Select the **OK** button on the **Preview Changes** dialog and then select the **I Accept** button on the **License Acceptance** dialog if you agree with the license terms for the packages listed. Repeat these steps for **Microsoft.ML.TimeSeries**.
Repeat these steps for **Microsoft.ML.TimeSeries** version **1.5.2**.

4. Add the following `using` statements at the top of your *Program.cs* file:

Expand Down Expand Up @@ -129,7 +135,7 @@ In the first step, we invoke the `DetectSeasonality` function to determine the p
1. Create the `DetectPeriod` method, just below the `Main` method, using the following code:

```csharp
static void DetectPeriod(MLContext mlContext, IDataView phoneCalls)
static int DetectPeriod(MLContext mlContext, IDataView phoneCalls)
{

}
Expand All @@ -143,7 +149,11 @@ In the first step, we invoke the `DetectSeasonality` function to determine the p

[!code-csharp[DisplayPeriod](./snippets/phone-calls-anomaly-detection/csharp/Program.cs#DisplayPeriod)]

4. Add the following call to the `DetectPeriod` method in the `Main` method:
4. Return the period value.

[!code-csharp[ReturnPeriod](./snippets/phone-calls-anomaly-detection/csharp/Program.cs#L52)]

5. Add the following call to the `DetectPeriod` method in the `Main` method:

[!code-csharp[CallDetectPeriod](./snippets/phone-calls-anomaly-detection/csharp/Program.cs#CallDetectPeriod)]

Expand Down