AutoML - Concatenated columns should have the same type. Column 'IntColumn2' has type of Single, but expected column type is Byte.

**System Information (please complete the following information):**
- OS & Version: Windows 11
- ML.NET Version: ML.NET 1.7
- .NET Version: .NET 6 / .NET Standard 2.0

**Describe the bug**
I am trying to use Microsoft.ML.AutoML.MultiClassificationExperiment with preloaded SQLData

```
System.InvalidOperationException: 'Training failed with the exception: System.InvalidOperationException: Concatenated columns should have the same type. Column 'Doc_IntColumn2' has type of Single, but expected column type is Byte.
at Microsoft.ML.Transforms.ColumnConcatenatingEstimator.CheckInputsAndMakeColumn(SchemaShape inputSchema, String name, String[] sources)
at Microsoft.ML.Transforms.ColumnConcatenatingEstimator.GetOutputSchema(SchemaShape inputSchema)
at Microsoft.ML.Data.EstimatorChain`1.GetOutputSchema(SchemaShape inputSchema)
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
at Microsoft.ML.AutoML.SuggestedPipeline.ToEstimator(IDataView trainset, IDataView validationSet)
at Microsoft.ML.AutoML.RunnerUtil.TrainAndScorePipeline[TMetrics](MLContext context, SuggestedPipeline pipeline, IDataView trainData, IDataView validData, String groupId, String labelColumn, IMetricsAgent`1 metricsAgent, ITransformer preprocessorTransform, FileInfo modelFileInfo, DataViewSchema modelInputSchema, IChannel logger)'
```

Stacktrace
```
at Microsoft.ML.AutoML.Experiment`2.Execute()
at Microsoft.ML.AutoML.ExperimentBase`2.Execute(ColumnInformation columnInfo, DatasetColumnInfo[] columns, IEstimator`1 preFeaturizer, IProgress`1 progressHandler, IRunner`1 runner)
at Microsoft.ML.AutoML.ExperimentBase`2.ExecuteCrossValSummary(IDataView[] trainDatasets, ColumnInformation columnInfo, IDataView[] validationDatasets, IEstimator`1 preFeaturizer, IProgress`1 progressHandler)
at Microsoft.ML.AutoML.ExperimentBase`2.Execute(IDataView trainData, ColumnInformation columnInformation, IEstimator`1 preFeaturizer, IProgress`1 progressHandler)
at Intense.AI.AutoML.Trainers.MulticlassClassification.RunExperiment(IDataView trainingDataView, RunExperimentDto runExperimentDto) in xxxx.cs:line 63
```

Not working input
```
SELECT
[Name], ISNULL(ShortStringColumn3,'') AS [ShortStringColumn3],
CAST(IntColumn2 as real) as [IntColumn2], CAST(IntColumn3 as real) as [IntColumn3], CAST(ISNULL(IntColumn4,0) as real) as [IntColumn4],
cast(IntColumn5 as real) as [LabelColumn]
FROM Documents
```

```
Name ShortStringColumn3 IntColumn2 IntColumn3 IntColumn4 LabelColumn
--------------- ----------------------- -------------- -------------- -------------- ------------
Administrator 73 0 0 73
User 8 0 1583 8
Administrator 3 0 1583 73

```

But on the other hand I have no problem with AutoML training with this dataset (single + string) as input
Working input
```
SELECT
CAST(Customer as real) as [Customer], cast([Name] as varchar(50)) as Name, [IntColumn21] as [LabelColumn]
FROM Documents
```

```
Customer Name LabelColumn
------------- ---------- -----------
2306 xyz 1
1666 dataaab 1
2323 dataaaa 1
2158 aaaaaac 1
2158 aaaaaab 0
2082 yyyyyy 0
2082 yyyyyy 0
```

**To Reproduce**
Steps to reproduce the behavior:

var loader = MLContext.Data.CreateDatabaseLoader(columns.ToArray());
var dbSource = new DatabaseSource(SqlClientFactory.Instance, connectionString, sqlQuery);
var iDataView = loader.Load(dbSource);
experiment.Execute(trainData: iDataView, labelColumnName: "LabelColumn", progressHandler: progressHandler);

**Expected behavior**
I understand there's problem with connectin string/int columns in input data... (same if int cols are first and strings are later). Why can't allow to auto concatenate all fields?