dotnet / dotnet/machinelearning-modelbuilder

The output of running WebAPI is confusing.

Aperta
#1,892 5 commenti 0 reazioni 1 assegnatario Rivendicata da @JakeRadMSFT Vedi su GitHub
Priority:1 Reported by: Test Stale
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Descrizione

**System Information (please complete the following information):**
- Model Builder Version (available in Manage Extensions dialog): 16.9.1.2152802 (Main)
- Microsoft Visual Studio Enterprise 2019: 16.11.5

**Describe the bug**
- On which step of the process did you run into an issue: running the generated WebAPI projects
- Clear description of the problem: why print the Feature columns with weird numbers, are they all scores?

**To Reproduce**
Steps to reproduce the behavior:
1. Select Create a new project from the Visual Studio 2019 start window;
2. Choose the C# Console App (.NET Core) project template with .Net 5.0;
3. Add model builder by right click on the project;
4. Select Data classification to complete training;
5. Add WebAPI project to solution on Consume page;
6. Run the WebAPI project and use powershell to run it;
7. See the output is very confusing.

**Expected behavior**
A clear and concise description of what you expected to happen.

**Screenshots**
If applicable, add screenshots to help explain your problem.
![image](https://user-images.githubusercontent.com/81727020/139655334-ff42b0d3-b709-41a3-8895-2068b1382025.png)

**Additional context**
Add any other context about the problem here.

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