MLNet070PeekData

MLNet070PeekData.cs

var mlContext = new MLContext(seed: 0);
_textLoader = mlContext.Data.TextReader(new TextLoader.Arguments()
{
    Separator = ",",
    HasHeader = true,
    Column = new[]
        {
            new TextLoader.Column("Name", DataKind.Text, 0),
            new TextLoader.Column("Age", DataKind.Num, 1),
            new TextLoader.Column("Gender", DataKind.Text, 2),
            new TextLoader.Column("Label", DataKind.Text, 3),
        }
});

// split data 80/20
var dvTrain = _textLoader.Read(TrainDataPath);

// Train
var dataProcessPipeline = mlContext.Transforms.Categorical.MapValueToKey("Label", "LabelKeys")
    .Append(mlContext.Transforms.Text.FeaturizeText("Gender", "GenderFeaturized"))
    .Append(mlContext.Transforms.Concatenate("Features", "Age", "GenderFeaturized"));

ConsoleHelper.PeekDataViewInConsole<AgeRange>(mlContext, dvTrain, dataProcessPipeline);
ConsoleHelper.PeekVectorColumnDataInConsole(mlContext, "Features", dvTrain, dataProcessPipeline, 2);