AutoML BinaryClassificationExperiment.Execute throws NullReferenceException in ConcatenateEntity.ToString when ColumnInformation names a column the preFeaturizer creates

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Évaluation

Difficulté
3/5
Temps estimé
1-2 jours
Accessibilité débutants
55/100
Type d'issue
Bug
Clarté
Clairement spécifiée
Activité
Active
Stack technique
csharp
Domaine
machine-learning

Piste de recherche

Start with BinaryClassificationExperiment.CreateBinaryClassificationPipeline and the SweepablePipeline construction path shown in the stack trace. Reproduce with the supplied preFeaturizer and ColumnInformation example, then inspect how the featurizer resolves columns before and after the preFeaturizer. Done means the pipeline handles a generated column or reports the missing column clearly instead of throwing NullReferenceException.

Rédigé par le modèle d'indexation à partir du texte de l'issue.

Description

area-AutoML untriaged
System information
  • Microsoft.ML 5.0.1, Microsoft.ML.AutoML 0.23.1
  • .NET 10 (net10.0), macOS arm64
Describe the bug

BinaryClassificationExperiment.Execute(trainData, columnInformation, preFeaturizer) throws a NullReferenceException from ConcatenateEntity.ToString when ColumnInformation names a column that the preFeaturizer creates. It does not report that the column does not exist.

To reproduce
var pre = ml.Transforms.Text.TokenizeIntoCharactersAsKeys("text__chars", "text")
    .Append(ml.Transforms.Text.ProduceNgrams("text__counts", "text__chars", 4));
var info = new ColumnInformation { LabelColumnName = "label" };
info.IgnoredColumnNames.Add("text");
info.NumericColumnNames.Add("text__counts");          // created by the preFeaturizer
ml.Auto().CreateBinaryClassificationExperiment(new BinaryExperimentSettings { MaxExperimentTimeInSeconds = 10 })
  .Execute(train, info, pre);

System.NullReferenceException: Object reference not set to an instance of an object.
   at Microsoft.ML.AutoML.ConcatenateEntity.ToString()
   at Microsoft.ML.AutoML.SweepablePipeline..ctor(...)
   at Microsoft.ML.AutoML.SweepablePipeline.AppendEntity(...)
   at Microsoft.ML.AutoML.SweepableExtension.Append(IEstimator`1 estimator, SweepablePipeline pipeline)
   at Microsoft.ML.AutoML.BinaryClassificationExperiment.CreateBinaryClassificationPipeline(IDataView trainData, ColumnInformation columnInformation, IEstimator`1 preFeaturizer)

The featurizer is built from trainData's schema before the preFeaturizer runs, so a column the preFeaturizer adds is not found. If the preFeaturizer writes its output back under an existing column name (for example NormalizeLpNorm("text", …) with "text" listed as numeric), training works.

Expected behavior

One of:

  • the pipeline is built from the preFeaturizer's output schema, so ColumnInformation can name columns the preFeaturizer produces, or
  • Execute fails with a message naming the missing column.
Langage dominant
C#
Étoiles
9.4k
Forks
2k
Merge moyen
2 j 18 h
PR mergées (30 j)
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