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CreateEnumerable code fails in Visual Studio FSI but works in .NET Interactive notebook? #6353

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Description

System Information (please complete the following information):

  • OS & Version: Windows 11
  • ML.NET Version: Microsoft.ML.AutoML, 0.20.0-preview.22356.1
  • .NET Version: failed on both 6.0.400 and 7.0.100-rc.1.22431.12

Describe the bug
I am trying to create an F# IEnumerable from predictions. The code works in .NET Interactive notebooks, but it does not work in Visual Studio 2022 17.3.2 via F# interactive. I have also tried pasting the code into F# interactive by running dotnet fsi at the command line, but I get the same error.

When I run it in a notebook, I get predictions as expected. When I run it in a FSX script file in Visual Studio, I get the error "Could not find column 'Predicted@' (Parameter 'Schema')", yet the schema has a parameter named "Predicted".

To Reproduce
Code

#i "nuget:https://pkgs.dev.azure.com/dnceng/public/_packaging/MachineLearning/nuget/v3/index.json"
#r "nuget: Microsoft.ML.AutoML, 0.20.0-preview.22356.1"

open System
open Microsoft.ML
open Microsoft.ML.Data

let mlContext = new MLContext()

[<CLIMutable>]
type Predictors =
    {
        Date: DateTime
        Return: single
        DividendPrice: single
    }

let predictors =
    [{ Date = DateTime(1872,2,1)
       Return = 0.008688271977f
       DividendPrice = 0.05482897535f };
     { Date = DateTime(1872,3,1)
       Return = 0.03739754111f
       DividendPrice = 0.05333504081f };
     { Date = DateTime(1872,4,1)
       Return = 0.03229662776f
       DividendPrice = 0.05175264552f};
     { Date = DateTime(1872,5,1)
       Return = 0.004451415502f
       DividendPrice = 0.05051480234f }]

let mlData = mlContext.Data.LoadFromEnumerable(predictors)

let modelFit =
    let model =
        EstimatorChain()
            .Append(mlContext.Transforms.CopyColumns("Label","Return"))
            .Append(mlContext.Transforms.Concatenate("Features","DividendPrice"))
            .Append(mlContext.Regression.Trainers.Ols())
    model.Fit(mlData)

[<CLIMutable>]
type Prediction =
    {
        Predicted: single
        Date: DateTime
    }

let pred = modelFit.Transform(mlData)
let renamePipeline = mlContext.Transforms.CopyColumns("Predicted","Score")
let renamed = renamePipeline.Fit(pred).Transform(pred)
mlContext.Data.CreateEnumerable<Prediction>(renamed,reuseRowObject=false)

Output in .NET interactive:

index Predicted Date
0 0.022715298 1872-02-01 00:00:00Z
1 0.021365488 1872-03-01 00:00:00Z
2 0.019935748 1872-04-01 00:00:00Z
3 0.018817322 1872-05-01 00:00:00Z

Output in Visual Studio:

System.ArgumentOutOfRangeException: Could not find  column 'Predicted@' (Parameter 'Schema')
   at Microsoft.ML.Data.TypedCursorable`1..ctor(IHostEnvironment env, IDataView data, Boolean ignoreMissingColumns, InternalSchemaDefinition schemaDefn)
   at Microsoft.ML.Data.TypedCursorable`1.Create(IHostEnvironment env, IDataView data, Boolean ignoreMissingColumns, SchemaDefinition schemaDefinition)
   at Microsoft.ML.Data.CursoringUtils.AsCursorable[TRow](IHostEnvironment env, IDataView data, Boolean ignoreMissingColumns, SchemaDefinition schemaDefinition)
   at Microsoft.ML.PipeEngine`1..ctor(IHostEnvironment env, IDataView pipe, Boolean ignoreMissingColumns, SchemaDefinition schemaDefinition)
   at Microsoft.ML.DataOperationsCatalog.CreateEnumerable[TRow](IDataView data, Boolean reuseRowObject, Boolean ignoreMissingColumns, SchemaDefinition schemaDefinition)
   at <StartupCode$FSI_0004>.$FSI_0004.main@() in C:\test.fsx:line 52
Stopped due to error

Here is the schema

> renamed.Schema |> Seq.toArray
val it: DataViewSchema.Column[] =
  [|Date@: DateTime {Annotations = ;
                     Index = 0;
                     IsHidden = false;
                     Name = "Date@";
                     Type = DateTime;}; Return@: Single {Annotations = ;
                                                         Index = 1;
                                                         IsHidden = false;
                                                         Name = "Return@";
                                                         Type = Single;};
    DividendPrice@: Single {Annotations = ;
                            Index = 2;
                            IsHidden = false;
                            Name = "DividendPrice@";
                            Type = Single;}; Date: DateTime {Annotations = ;
                                                             Index = 3;
                                                             IsHidden = false;
                                                             Name = "Date";
                                                             Type = DateTime;};
    Return: Single {Annotations = ;
                    Index = 4;
                    IsHidden = false;
                    Name = "Return";
                    Type = Single;};
    DividendPrice: Single {Annotations = ;
                           Index = 5;
                           IsHidden = false;
                           Name = "DividendPrice";
                           Type = Single;}; Label: Single {Annotations = ;
                                                           Index = 6;
                                                           IsHidden = false;
                                                           Name = "Label";
                                                           Type = Single;};
    Features: Vector<Single, 1> {SlotNames} {Annotations = SlotNames;
                                             Index = 7;
                                             IsHidden = false;
                                             Name = "Features";
                                             Type = Vector<Single, 1>;};
    Score: Single {ScoreColumnSetId, ScoreColumnKind, ScoreValueKind}
      {Annotations = ScoreColumnSetId, ScoreColumnKind, ScoreValueKind;
       Index = 8;
       IsHidden = false;
       Name = "Score";
       Type = Single;};
    Predicted: Single {ScoreColumnSetId, ScoreColumnKind, ScoreValueKind}
      {Annotations = ScoreColumnSetId, ScoreColumnKind, ScoreValueKind;
       Index = 9;
       IsHidden = false;
       Name = "Predicted";
       Type = Single;}|]

Expected behavior
I expect the code to work in fsharp interactive

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