MLNet060SampleProgramViewTempData.cs

static void Main(string[] args)
{
    var dataPath = "AgeRangeData.csv";
    var env = new LocalEnvironment();
    var reader = TextLoader.CreateReader(env, ctx => (
            Name: ctx.LoadText(0),
            Age: ctx.LoadFloat(1),
            Gender: ctx.LoadText(2),
            Label: ctx.LoadText(3)),
        separator: ',', hasHeader: true);
    var trainData = reader.Read(new MultiFileSource(dataPath));

    var classification = new MulticlassClassificationContext(env);
    var learningPipeline = reader.MakeNewEstimator()
        .Append(r => (
            r.Label,
            Predictions: classification.Trainers.Sdca
            (label: r.Label.ToKey(),
                features: r.Age.AsVector())));

    // create temp view of data
    var data = reader.Read(new MultiFileSource(dataPath));
    var tempData = learningPipeline.Fit(data).Transform(data);
    var tempRows = tempData.AsDynamic
        .AsEnumerable<AgeRange>(env, reuseRowObject: false).ToArray();

    learningPipeline.Append(r => r.Predictions.predictedLabel.ToValue());