在不删除ML.NET中列的情况下设置训练管道

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

public class MyData
{
    [LoadColumn(0)]
    public float Feature1 { get; set; }
    
    [LoadColumn(1)]
    public float Feature2 { get; set; }
    
    // 其他列的定义...
}

MLContext mlContext = new MLContext();

IDataView dataView = mlContext.Data.LoadFromTextFile<MyData>("path/to/data.csv", separatorChar: ',');

var pipeline = mlContext.Transforms.<Transformations>(...)
    .Append(mlContext.Transforms.<MoreTransformations>(...))
    .Append(mlContext.Transforms.<EvenMoreTransformations>(...))
    .Append(mlContext.Transforms.<FinalTransformations>(...))
    .Append(mlContext.Transforms.Concatenate("Features", "Feature1", "Feature2", ...))
    .Append(mlContext.Transforms.NormalizeMinMax("Features"))
    .Append(mlContext.Transforms.Conversion.MapValueToKey("Label"))
    .Append(mlContext.Transforms.<OtherTransformations>(...))
    .Append(mlContext.<Trainer>(...));

var model = pipeline.Fit(dataView);

var predictions = model.Transform(dataView);