using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

namespace WinFormsApp3
{
    internal class Class1
    {
    }
}/*
    // 这是正确、最简、不会报错的 NER 辅助类
    public class NerInput
    {
        public string Text { get; set; }
    }

    public class NerOutput
    {
        // 不需要 Label！不会报错！
        public string[] Words { get; set; }
    }

  var mlContext = new MLContext();

            // ============================
            // 关键：只做 分词 + 特征转换
            // 绝对不加分类器，就不会要 Label
            // ============================
            var pipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", nameof(NerInput.Text));

            // 空数据也不会报错
            var emptyData = mlContext.Data.LoadFromEnumerable(new List<NerInput>());
            var model = pipeline.Fit(emptyData);

            // 预测引擎
            var engine = mlContext.Model.CreatePredictionEngine<NerInput, NerOutput>(model);

            // 测试
            var result = engine.Predict(new NerInput
            {
                Text = "我和陈明今天去上海见张伟"
            });

            Console.WriteLine("分词结果：");
            foreach (var word in result.Words)
            {
                Console.WriteLine("- " + word);
            }
  */