在多个组合回归模型(ML.NET)中将列指定为要素和标签

using Microsoft.ML;
using Microsoft.ML.Data;

public class InputData
{
    [LoadColumn(0)] public float Feature1;
    [LoadColumn(1)] public float Feature2;
    [LoadColumn(2)] public float Label;
}

public class Prediction
{
    [ColumnName("Score")]
    public float PredictedLabel { get; set; }
}

class Program
{
    static void Main(string[] args)
    {
        var mlContext = new MLContext();

        // Load data
        var dataView = mlContext.Data.LoadFromTextFile<InputData>("data.csv", hasHeader: true, separatorChar: ',');

        // Define pipeline
        var pipeline = mlContext.Regression.Trainers.Sdca()
            .Append(mlContext.Transforms.CopyColumns(outputColumnName: "Label", inputColumnName: "Label"))
            .Append(mlContext.Transforms.Concatenate("Features", "Feature1", "Feature2"));

        // Train model
        var model = pipeline.Fit(dataView);

        // Make predictions
        var predictions = model.Transform(dataView);
    }
}