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uniapp/Google Chrome/Class1.cs

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+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);
+            }
+  */