Open 80LevelElf opened 6 months ago
Still happens.. regression.
System.IndexOutOfRangeException: Index was outside the bounds of the array.
at Microsoft.ML.Trainers.FastTree.Dataset.MapFeatureToFlockAndSubFeature(Int32 feature, Int32& flock, Int32& subfeature)
at Microsoft.ML.Trainers.FastTree.InternalRegressionTree.PopulateThresholds(Dataset dataset)
at Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.TrainCoreOneDal(IChannel ch, Factory cursorFactory, Int32 featureCount)
at Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer.TrainModelCore(TrainContext context)
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.TrainTransformer(IDataView trainSet, IDataView validationSet, IPredictor initPredictor)
at Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(IDataView input)
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
at Microsoft.ML.Data.EstimatorChain`1.Fit(IDataView input)
Microsoft.ML.OneDal,0.22.0-preview.24271.1
Is there any benchmark showing that onedal with ml.net is actually faster(when it works)?
System Information (please complete the following information):
Describe the bug
We have found this error in internal ML.net logs a lot of times. Looks liks it's not related to train set size (in the case I have copied this error we have only 20 000 training rows)