The following code fails to convert to ONNX model:
var mlContext = new MLContext();
var data = mlContext.Data.LoadFromEnumerable<Observation>(Data);
var chain = mlContext.Transforms.Concatenate("FeatureVector", "Price")
.Append(mlContext.BinaryClassification.Trainers.LogisticRegression(
"Label", "FeatureVector"));
var transformer = chain.Fit(data);
using (var stream = File.Create("foo.onnx"))
mlContext.Model.ConvertToOnnx(transformer, data, stream);On the other hand, if you rename "FeatureVector" to "Features" it works.
This happens for various learners and both binary and multiclass. for both calibrated and non-calibrated. This does NOT happen on regression
The following code fails to convert to ONNX model:
On the other hand, if you rename "FeatureVector" to "Features" it works.
This happens for various learners and both binary and multiclass. for both calibrated and non-calibrated. This does NOT happen on regression