dotnet / dotnet/machinelearning-modelbuilder

The best model for the training results is inconsistent with the top model explored by the output box.

Ouverte
#2,020 4 commentaires 0 réactions 1 personne assignée Réclamée par @LittleLittleCloud Voir sur GitHub
Priority:2 Reported by: Test Stale
Langage dominant
Dockerfile
Étoiles
285
Forks
66
Métriques de merge des PR
Aucune PR mergée en 30 j

Description

**System Information (please complete the following information):**
- Model Builder Version (available in Manage Extensions dialog): 16.13.2.2211002 (latest main)
- Microsoft Visual Studio Enterprise 2022 (64-bit) Version 17.0.6

**Describe the bug**
- On which step of the process did you run into an issue: Training results on Train page.

**DataSource**
https://github.com/dotnet/machinelearning-samples/raw/main/samples/modelbuilder/MulticlassClassification_RestaurantViolations/RestaurantScores.zip

**To Reproduce**
Steps to reproduce the behavior:
1. Select Create a new project from the Visual Studio 2022 start window;
2. Choose the C# Console App (.NET Core) project template with .Net 6.0;
3. Add model builder by right click on the project;
4. Select Data classification>Local (CPU), input the SQL Server data source to complete training;
5. After training complete, see the best model for the training results does not match with the top model explored in Output box.

**Expected behavior**
The best model for the training results should be consistent with the top model explored by the output box.

**Screenshots**
If applicable, add screenshots to help explain your problem.
![image](https://user-images.githubusercontent.com/81727020/153528235-1ce02d16-30ce-49cc-84cb-aaa2a7bd8f5a.png)

Guide de contribution

Aucun guide de contribution indexé pour ce dépôt

Évaluation

Cette issue n'a pas encore été évaluée.

Recevez les nouvelles issues par e-mail

Un résumé court des issues GitHub adaptées aux débutants.