This code is part of a Medium article.

mlnet-recommender2-load.cs

/// <summary>
/// The main program class.
/// </summary>
class Program
{
    // filename for dataset
    private static string dataPath = Path.Combine(Environment.CurrentDirectory, "amazon0302.txt");

    /// <summary>
    /// The main entry point of the program.
    /// </summary>
    /// <param name="args">The command line arguments.</param>
    static void Main(string[] args)
    {
        // create a machine learning context
        var context = new MLContext();

        // load the dataset in memory
        Console.WriteLine("Loading data...");
        var data = context.Data.LoadFromTextFile<ProductInfo>(
            dataPath, 
            hasHeader: true, 
            separatorChar: '\t');

        // split the data into 80% training and 20% testing partitions
        var partitions = context.Data.TrainTestSplit(data, testFraction: 0.2);

        // the rest of the code goes here...
    }
}