如何将python中的batch_normalization转换为c#

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

public class InputData
{
    [VectorType(4)]
    public float[] Features { get; set; }
}

public class OutputData
{
    [VectorType(4)]
    public float[] NormalizedFeatures { get; set; }
}

public class Program
{
    static void Main(string[] args)
    {
        // 创建MLContext对象
        var context = new MLContext();

        // 加载训练数据
        var data = new[]
        {
            new InputData { Features = new float[] { 1, 2, 3, 4 } },
            new InputData { Features = new float[] { 5, 6, 7, 8 } },
            new InputData { Features = new float[] { 9, 10, 11, 12 } }
        };

        var dataView = context.Data.LoadFromEnumerable(data);

        // 创建BatchNormalizationEstimator对象
        var estimator = context.Transforms.NormalizeMinMax("NormalizedFeatures", "Features");

        // 训练模型
        var model = estimator.Fit(dataView);

        // 创建预测引擎
        var engine = context.Model.CreatePredictionEngine<InputData, OutputData>(model);

        // 进行预测
        var prediction = engine.Predict(new InputData { Features = new float[] { 13, 14, 15, 16 } });

        // 输出预测结果
        Console.WriteLine($"Normalized Features: [{string.Join(", ", prediction.NormalizedFeatures)}]");
    }
}