Forecasting: Training failed with error "All instances skipped due to missing features." when choosing "smac" tuner to train SQL server data.

**System Information (please complete the following information):**
Windows OS: Windows-11-Enterprise-22H2
ML.Net Model Builder 2022: 17.16.0.2331601 (Main Build)
Microsoft Visual Studio Enterprise: 2022(17.5.5)
.Net: 6.0, 7.0

**Describe the bug**
- On which step of the process did you run into an issue:
Training failed with error "All instances skipped due to missing features." when choosing "smac" tuner to train SQL server data.

**TestMatrix**
https://github.com/dotnet/machinelearning-samples/raw/main/samples/csharp/getting-started/Forecasting_BikeSharingDemand/BikeDemandForecasting/Data/DailyDemand.mdf

**To Reproduce**
Steps to reproduce the behavior:
1. Select Create a new project from the Visual Studio start window.
2. Choose the C# Console App (.NET Core) project template.
3. Add model builder by right click on the project.
4. Select **Forecasting** scenario.
5. On Data page, choose the **SQL server** data source.
6. On the Train page, click the "Advanced training options..." link.
7. Go to "Tuners" tab, choose "**smac**" tuner and save it.
8. The training would be failed with error "All instances skipped due to missing features.".

**Expected behavior**
Training successfully.

**Screenshot**

**Additional context**
The bug is **not repro** when choosing "smac" tuner to train (csv,tsv,txt) file data.