ml.net-2.cs

public static void Main(string[] args)
{
    var context = new MLContext();

    var data = GetTrainAndTestData(context, InputDataPath);

    ...
}

private static TrainCatalogBase.TrainTestData GetTrainAndTestData(MLContext context, string dataPath)
{
    // Load data from the CSV file.
    var dataView = context.Data.LoadFromTextFile<CountryData>(dataPath, hasHeader: true, separatorChar: ',');

    // Split the data randomly, in 90:10 ratio, for training and evaluation data respectively.
    return context.MulticlassClassification.TrainTestSplit(dataView, testFraction: 0.1);
}