LightGBM Version

[boneatjp]

System Information (please complete the following information):

• OS & Version: Windows 11 Pro 23H2 build 22631.3235
• ML.NET Version: ML.NET version 3.0.1
• .NET Version: .NET 8.0

Describe the bug

System.AccessViolationException
HResult=0x80004003
Message=Attempted to read or write protected memory. This is often an indication that other memory is corrupt.

To Reproduce
Steps to reproduce the behavior:

1. Make a console app project
2. Install following packages with NuGet Package Manager:
   Microsoft.ML Version 3.0.1
   Microsoft.ML.AutoML Version 0.21.1
   Microsoft.ML.CpuMath Version 3.0.1
   Microsoft.ML.DataView Version 3.0.1
   Microsoft.ML.FastTree Version 3.0.1
   Microsoft.ML.LightGbm Version 3.0.1
   Microsoft.ML.Mkl.Compreonents Version 3.0.1
   Microsoft.ML.Mkl.Redist Version 3.0.1
3. Edit Program.cs:

using Microsoft.ML;
using Microsoft.ML.AutoML;
using Microsoft.ML.Data;
using static Microsoft.ML.DataOperationsCatalog;

MLContext mlContext;
string sampleData = "taxi-fare-full.csv";
mlContext = new MLContext();

// Infer column information
ColumnInferenceResults columnInference = mlContext.Auto()
                                                .InferColumns(sampleData,
                                                    labelColumnName: "fare_amount",
                                                    groupColumns: false);
// Create text loader
TextLoader loader = mlContext.Data.CreateTextLoader(columnInference.TextLoaderOptions);

// Load data into IDataView
IDataView data = loader.Load(sampleData);

TrainTestData trainValidationData = mlContext.Data.TrainTestSplit(data, testFraction: 0.2);

SweepablePipeline pipeline = mlContext.Auto()
                    .Featurizer(data, columnInformation: columnInference.ColumnInformation)
                        .Append(mlContext.Auto()
                            .Regression(labelColumnName: columnInference.ColumnInformation.LabelColumnName));

AutoMLExperiment experiment = mlContext.Auto().CreateExperiment();

var regressionMetric = RegressionMetric.RootMeanSquaredError;
experiment
    .SetPipeline(pipeline)
    .SetRegressionMetric(regressionMetric,
                            labelColumn: columnInference.ColumnInformation.LabelColumnName)
    .SetTrainingTimeInSeconds(100)  // Training time in sec
    .SetDataset(trainValidationData);

// Log experiment trials
mlContext.Log += (_, e) => {
    if (e.Source.Equals("AutoMLExperiment"))
    {
        Console.WriteLine(e.RawMessage);
    }
};

TrialResult experimentResults = await experiment.RunAsync();

4.Download the taxi-fare-full.csv and set it to be copied.
5.This works without errors. Add LightGBM version 4.0.0 or latest 4.3.0 with NuGet Package Manager.
6. See error

Additional context
Without installing LightGBM version 4.?.?, ML.NET version 3.0.1 uses LightGBM version 3.3.5.
I've asked Version 3.3.5 to Version 4.3.0 at microsoft/LightGBM.
LightGBM Version 4.3.0 itself maybe works fine. So it might be the problem how ML.NET calls LightGBM.

[evo11x]

I am having the same problem with LightGBM 4.4.0 multiclass classification using .Net framework 4.8.1

[boneatjp]

Well, a few days ago, ML.NET 4.0.0-preview.24378.1 had been released. I've tried with LightGBM 4.5.0 but got still the same error. I hope ML.NET 4.0.0 will use LightGBM 4.5.0 or later version or maybe at least LightGBM 4.0.0.