KEMBAR78
ConvertToOnnx with LightGbm Model Throws KeyNotFoundException · Issue #5542 · dotnet/machinelearning · GitHub
Skip to content

ConvertToOnnx with LightGbm Model Throws KeyNotFoundException #5542

@mentorfloat

Description

@mentorfloat

System information

  • OS version: 10.0.19041
  • .NET SDKs: 3.1.402, 5.0.100-preview.7.20366.6

Issue

  • What did you do?
    Attempted to convert a trained ML.Net LightGbm model to ONNX model with ConvertToOnnx.

  • What happened?

Exception thrown: 'System.Collections.Generic.KeyNotFoundException' in System.Private.CoreLib.dll
An unhandled exception of type 'System.Collections.Generic.KeyNotFoundException' occurred in System.Private.CoreLib.dll
The given key 'Mates4_TextNormalizer' was not present in the dictionary.
  • What did you expect?
    ONNX model converted and saved to file without errors.

Source code

Model was trained with LightGbm, evaluated and tested working before conversion is applied.

Tried two versions: 1. loading a saved model and apply conversion; 2. end-to-end (train, evaluate and apply conversion). Both threw the same exception.

There's nothing with 'TextNormalizer' anywhere during training but there is a string named 'Mates4' in the ItemRating class, which was featurized during training with Transforms.Text.FeaturizeText. This could be related.

MLContext mlContext = new MLContext();

var data = mlContext.Data.LoadFromTextFile<ItemRating>(path: TrainingDataLocation, hasHeader: true, separatorChar: ',');

var trainTestData = mlContext.Data.TrainTestSplit(data, testFraction: 0.1);
var trainingDataView = trainTestData.TrainSet;

trainingDataView = mlContext.Data.Cache(trainingDataView);

ITransformer trainedModel;
using (FileStream stream = new FileStream(ModelPath, FileMode.Open, FileAccess.Read, FileShare.Read))
{
    trainedModel = mlContext.Model.Load(stream, out var modelInputSchema);
}
using (FileStream streamfile = File.Create(onnxModelPath))
{
    mlContext.Model.ConvertToOnnx(trainedModel, trainingDataView, streamfile);
}

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions