51 lines
1.4 KiB
C#
51 lines
1.4 KiB
C#
using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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namespace WinFormsApp3
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{
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internal class Class1
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{
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}
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}/*
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// 这是正确、最简、不会报错的 NER 辅助类
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public class NerInput
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{
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public string Text { get; set; }
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}
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public class NerOutput
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{
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// 不需要 Label！不会报错！
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public string[] Words { get; set; }
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}
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var mlContext = new MLContext();
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// ============================
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// 关键：只做 分词 + 特征转换
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// 绝对不加分类器，就不会要 Label
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// ============================
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var pipeline = mlContext.Transforms.Text.TokenizeIntoWords("Words", nameof(NerInput.Text));
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// 空数据也不会报错
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var emptyData = mlContext.Data.LoadFromEnumerable(new List<NerInput>());
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var model = pipeline.Fit(emptyData);
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// 预测引擎
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var engine = mlContext.Model.CreatePredictionEngine<NerInput, NerOutput>(model);
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// 测试
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var result = engine.Predict(new NerInput
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{
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Text = "我和陈明今天去上海见张伟"
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});
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Console.WriteLine("分词结果：");
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foreach (var word in result.Words)
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{
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Console.WriteLine("- " + word);
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}
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*/ |