LoadFromTextFile, I get the error "Bad item type for Key"
public static bool IsValidDataType(Type type)
{
return type == typeof(uint) || type == typeof(ulong) || type == typeof(ushort) || type == typeof(byte);
}
MatrixFactorization to your pipeline.... Right now you transform your data with pipeline and pass the data, mappedDataView, to train est. So if you want to use your trained model you would need to do the same thing which is why you get a "UserIdEncoded column 'MatrixColumnIndex' not found" exception
Column descriptors... The fact the LoadColumn attributes are there is just an artifact.... Most likely at this point it could use either method without issue.
@whitmark - if you look at the logs\debug_log.txt file that is outputted by mlnet auto-train, you will see all the trainers and options used. You will see something like:
[Source=AutoML, Kind=Trace] Evaluating pipeline xf=ValueToKeyMapping{ col=Iris_setosa:Iris_setosa} xf=ColumnConcatenating{ col=Features:5_1,3_5,1_4,0_2} xf=Normalizing{ col=Features:Features} tr=SdcaMaximumEntropyMulti{L2Regularization:0.01, L1Regularization:<Auto>, ConvergenceTolerance:0.001, MaximumNumberOfIterations:20, Shuffle:False, BiasLearningRate:0} xf=KeyToValueMapping{ col=PredictedLabel:PredictedLabel} cache=+Note this part tr=SdcaMaximumEntropyMulti{L2Regularization:0.01, L1Regularization:<Auto>, ConvergenceTolerance:0.001, MaximumNumberOfIterations:20, Shuffle:False, BiasLearningRate:0} describes the trainer, and the hyper parameter values being used. If a parameter isn't specified, it is left to the default value.
so it's still an open question as to whether the C# API can support this type of output.
From the AutoML C# API, you get these outputs from handling the MLContext.Log event. You can then do whatever you'd like with the log message. That is the way the mlnet auto-train code works -
is there an option to override the defaults used for any hyperparameter or change up which ones are <Auto>?
Not currently. Check out all the settings you are able to provide on https://docs.microsoft.com/en-us/dotnet/api/microsoft.ml.automl.experimentsettings and its derived classes. If you feel a setting is missing, feel free to open an issue on https://github.com/dotnet/machinelearning
