Splitter/consolidator worker encountered exception while consuming source data (DataClassification AutoML)

@LittleLittleCloud arbeitet bereits daran.

Seit 18.4.2023.

**System Information (please complete the following information):**
- OS & Version: Windows 10
- ML.NET Version: ML.NET 2.0.0
- .NET Version: .NET4.8 and .NET 6 same error
VisualStudio 2022 + ML.NET ModelBuilder 2022 (17.14.4.2312404)

**Describe the bug**
I have seen few issues regarding similliar error but all of them regards ImageClassification. Mine regards DataClassification

DataClassification using SQL Server View

**To Reproduce**
1. DataClassification
3. Lot of columns (date, decimals, ints) 2 varchar and 1 label is fine
4. Lot of columns (date, decimals, ints) 2 varchar and 1 label and 1 more problematic varchar columns (StringCol3) instant - error
5. If i replace this problematic varchar column with constants for all rows something like 'abc' as [StringCol3] training is fine

Can't attach those columns due to sensitive data.
But I anoymyzed and trimmed enought data to reproduce (attached SQL scripts to create table and insert records)
This should be enough to reproduce this error.
[aibug.zip](https://github.com/dotnet/machinelearning/files/11230365/aibug.zip)

```
start multiclass classification
Evaluate Metric: MacroAccuracy
Available Trainers: SDCA,LBFGS,LGBM,FASTTREE,FASTFOREST
Training time in second: 300
[Source=AutoMLExperiment-ChildContext, Kind=Info] [Source=OVA; Fitting, Kind=Info] Training learner 0
[Source=AutoMLExperiment-ChildContext, Kind=Info] [Source=Converter; InitDataset, Kind=Info] Making per-feature arrays
[Source=AutoMLExperiment-ChildContext, Kind=Info] [Source=Converter; InitBoundariesAndLabels, Kind=Info] Changing data from row-wise to column-wise

```

`Splitter/consolidator worker encountered exception while consuming source data
`
```
at Microsoft.ML.Data.DataViewUtils.Splitter.Batch.SetAll(OutPipe[] pipes)
at Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.MoveNextCore()
at Microsoft.ML.Data.RootCursorBase.MoveNext()
at Microsoft.ML.Trainers.TrainingCursorBase.MoveNext()
at Microsoft.ML.Trainers.FastTree.DataConverter.MemImpl.MakeBoundariesAndCheckLabels(Int64& missingInstances, Int64& totalInstances)
at Microsoft.ML.Trainers.FastTree.DataConverter.MemImpl..ctor(RoleMappedData data, IHost host, Double[][] binUpperBounds, Single maxLabel, Boolean dummy, Boolean noFlocks, PredictionKind kind, Int32[] categoricalFeatureIndices, Boolean categoricalSplit)
at Microsoft.ML.Trainers.FastTree.DataConverter.Create(RoleMappedData data, IHost host, Int32 maxBins, Single maxLabel, Boolean diskTranspose, Boolean noFlocks, Int32 minDocsPerLeaf, PredictionKind kind, IParallelTraining parallelTraining, Int32[] categoricalFeatureIndices, Boolean categoricalSplit)
at Microsoft.ML.Trainers.FastTree.ExamplesToFastTreeBins.FindBinsAndReturnDataset(RoleMappedData data, PredictionKind kind, IParallelTraining parallelTraining, Int32[] categoricalFeaturIndices, Boolean categoricalSplit)
at Microsoft.ML.Trainers.FastTree.FastTreeTrainerBase`3.ConvertData(RoleMappedData trainData)
at Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer.TrainModelCore(TrainContext context)
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
at Microsoft.ML.Trainers.OneVersusAllTrainer.TrainOne(IChannel ch, ITrainerEstimator`2 trainer, RoleMappedData data, Int32 cls)
at Microsoft.ML.Trainers.OneVersusAllTrainer.Fit(IDataView input)
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
at Microsoft.ML.AutoML.SweepablePipelineRunner.Run(TrialSettings settings)
at Microsoft.ML.AutoML.SweepablePipelineRunner.RunAsync(TrialSettings settings, CancellationToken ct)
at Microsoft.ML.AutoML.AutoMLExperiment.d__24.MoveNext()
--- End of stack trace from previous location where exception was thrown ---
at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw()
at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
at Microsoft.ML.ModelBuilder.AutoMLService.Experiments.MultiClassificationExperiment.d__14.MoveNext() in /_/src/Microsoft.ML.ModelBuilder.AutoMLService/Experiments/MultiClassificationExperiment.cs:line 123
--- End of stack trace from previous location where exception was thrown ---
at System.Runtime.ExceptionServices.ExceptionDispatchInfo.Throw()
at System.Runtime.CompilerServices.TaskAwaiter.HandleNonSuccessAndDebuggerNotification(Task task)
at Microsoft.ML.ModelBuilder.AutoMLEngine.d__21.MoveNext() in /_/src/Microsoft.ML.ModelBuilder.AutoMLService/AutoMLEngineService/AutoMLEngine.cs:line 145
```

BONUS if you make a View, replace 1 column with empty/null and use this View for DataClassification
```
CREATE OR ALTER VIEW XYZ
AS
SELECT
.....
, RIGHT(StringCol3,0) AS StringCol3
.....
FROM AIBug
```
You will get another error
```
Schema mismatch for input column 'StringCol3_CharExtractor': expected Expected known-size vector of Single, got Vector
Parameter name: inputSchema
```

**Expected behavior**
No error? Or human readable information what is wrong and how to fix it.

**Screenshots, Code, Sample Projects**
If applicable, add screenshots, code snippets, or sample projects to help explain your problem.