Open
Description
System Information (please complete the following information):
OS & Version: mcr.microsoft.com/dotnet/sdk:5.0 docker image (Linux Alpine)
ML.NET Version: 3.0.0
.NET Version: NET 5.0
System.AggregateException: One or more errors occurred. (Index was outside the bounds of the array.)\n --->
System.IndexOutOfRangeException: Index was outside the bounds of the array.\n at
Microsoft.ML.Trainers.FastTree.InternalRegressionTree.PopulateThresholds(Dataset dataset)\n at
Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer.TrainCoreOneDal(IChannel ch, Factory cursorFactory, Int32 featureCount)\n at
Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer.TrainModelCore(TrainContext context)\n at
Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)\n at
Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input)\n at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)\n at
Microsoft.ML.TrainCatalogBase.CrossValidateTrain(IDataView data, IEstimator`1 estimator, Int32 numFolds, String samplingKeyColumn, Nullable`1 seed)\n at
Microsoft.ML.BinaryClassificationCatalog.CrossValidateNonCalibrated(IDataView data, IEstimator`1 estimator, Int32 numberOfFolds, String labelColumnName, String samplingKeyColumnName, Nullable`1 seed)\n at
Microsoft.ML.AutoML.BinaryClassificationRunner.Run(TrialSettings settings)\n at
Microsoft.ML.AutoML.BinaryClassificationRunner.RunAsync(TrialSettings settings, CancellationToken ct)\n at
Microsoft.ML.AutoML.AutoMLExperiment.RunAsync(CancellationToken ct)\n --- End of inner exception stack trace ---\n at
System.Threading.Tasks.Task`1.GetResultCore(Boolean waitCompletionNotification)\n at System.Threading.Tasks.Task`1.get_Result()\n at Microsoft.ML.AutoML.AutoMLExperiment.Run()\n at
Microsoft.ML.AutoML.BinaryClassificationExperiment.Execute(IDataView trainData, ColumnInformation columnInformation, IEstimator`1 preFeaturizer, IProgress`1 progressHandler)\n at
Microsoft.ML.AutoML.BinaryClassificationExperiment.Execute(IDataView trainData, String labelColumnName, String samplingKeyColumn, IEstimator`1 preFeaturizer, IProgress`1 progressHandler)
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