Closed
Description
System information
- Windows 10.0.21364.0
- .NET SDK Version: 5.0.202
Issue
- What did you do?
I want to use AutoML and having the feature column as aVector<Type, NN>
and add validation data to the experiment as in the exposed method:
public ExperimentResult<TMetrics> Execute(IDataView trainData, IDataView validationData, string labelColumnName = "Label", IEstimator<ITransformer> preFeaturizer = null, IProgress<RunDetail<TMetrics>> progressHandler = null)
Example code:
_mlContext.Auto()
.CreateRegressionExperiment(experimentSettings)
.Execute(_trainDataView, _testDataView, progressHandler: experimentProgress, labelColumnName: "LabelFeaturized");
- What happened?
The experiment fails with to following exception:
System.ArgumentException: Training data and validation data schemas do not match. Column 'Features' is of type Vector<Single, 5> in train data, and type Vector<Single, 5> in validation data. (Parameter 'validationData')
at Microsoft.ML.AutoML.UserInputValidationUtil.ValidateValidationData(IDataView trainData, IDataView validationData)
at Microsoft.ML.AutoML.UserInputValidationUtil.ValidateExperimentExecuteArgs(IDataView trainData, ColumnInformation columnInformation, IDataView validationData, TaskKind task)
at Microsoft.ML.AutoML.ExperimentBase`2.ExecuteTrainValidate(IDataView trainData, ColumnInformation columnInfo, IDataView validationData, IEstimator`1 preFeaturizer, IProgress`1 progressHandler)
at Microsoft.ML.AutoML.ExperimentBase`2.Execute(IDataView trainData, IDataView validationData, ColumnInformation columnInformation, IEstimator`1 preFeaturizer, IProgress`1 progressHandler)
at Microsoft.ML.AutoML.ExperimentBase`2.Execute(IDataView trainData, IDataView validationData, String labelColumnName, IEstimator`1 preFeaturizer, IProgress`1 progressHandler)
- What did you expect?
The validation data to be used in the experiment and theVector
typed Feature column to be an acceptable datatype.
Perhaps this line needs to account for Vector<Type,NN>
?