Package org.fnlp.nlp.pipe

Examples of org.fnlp.nlp.pipe.Target2Label

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    // 特征集合
    IFeatureAlphabet features = factory.DefaultFeatureAlphabet();

    featurePipe = new Sequence2FeatureSequence(templets, features, labels);

    Pipe pipe = new SeriesPipes(new Pipe[] { new Target2Label(labels), featurePipe });

    return pipe;
  }
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    //使用n元特征
    Pipe ngrampp = new NGram(new int[] {1,2});
    //将字符特征转换成字典索引
    Pipe indexpp = new StringArray2IndexArray(af);
    //将目标值对应的索引号作为类别
    Pipe targetpp = new Target2Label(af.DefaultLabelAlphabet());   

    //建立pipe组合
    SeriesPipes pp = new SeriesPipes(new Pipe[]{ngrampp,targetpp,indexpp});
   
    SeriesPipes  pp2 = new SeriesPipes(new Pipe[]{prePipe, ngrampp,targetpp,indexpp});
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    public void train() throws Exception {

      //建立字典管理器

     
      Pipe lpipe = new Target2Label(al);
      Pipe fpipe = new StringArray2IndexArray(factory, true);
      //构造转换器组
      SeriesPipes pipe = new SeriesPipes(new Pipe[]{lpipe,fpipe});

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    long start = System.currentTimeMillis();

    path = "./example-data/data-classification.txt";

    Pipe lpipe = new Target2Label(al);
    Pipe fpipe = new StringArray2SV(factory, true);
    //构造转换器组
    Pipe pipe = new SeriesPipes(new Pipe[]{lpipe,fpipe});
   
    //构建训练集
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    IFeatureAlphabet features = factory.DefaultFeatureAlphabet();
    // 将样本通过Pipe抽取特征
   
    featurePipe = new Sequence2FeatureSequence(templets, features, labels);

    Pipe pipe = new SeriesPipes(new Pipe[] { new Target2Label(labels), featurePipe });


    System.out.print("读入训练数据 ...");
    InstanceSet trainSet = new InstanceSet(pipe, factory);
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    long start = System.currentTimeMillis();

    path = "./example-data/data-classification.txt";

    Pipe lpipe = new Target2Label(al);
    Pipe fpipe = new StringArray2IndexArray(factory, true);
    //构造转换器组
    Pipe pipe = new SeriesPipes(new Pipe[]{lpipe,fpipe});
   
    //构建训练集
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    //使用n元特征
    Pipe ngrampp = new NGram(new int[] {2,3});
    //将字符特征转换成字典索引; 
    Pipe sparsepp=new StringArray2SV(af);
    //将目标值对应的索引号作为类别
    Pipe targetpp = new Target2Label(af.DefaultLabelAlphabet()); 
    //建立pipe组合
    SeriesPipes pp = new SeriesPipes(new Pipe[]{removepp,segpp,s2spp,targetpp,sparsepp});

    /**
     * Knn
 
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    //使用n元特征
    Pipe ngrampp = new NGram(new int[] {2,3 });
    //将字符特征转换成字典索引
    Pipe indexpp = new StringArray2IndexArray(af);
    //将目标值对应的索引号作为类别
    Pipe targetpp = new Target2Label(af.DefaultLabelAlphabet());   
   
    //建立pipe组合
    SeriesPipes pp = new SeriesPipes(new Pipe[]{ngrampp,targetpp,indexpp});
   
    InstanceSet instset = new InstanceSet(pp,af);
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    //使用n元特征
    Pipe ngrampp = new NGram(new int[] {2,3});
    //将字符特征转换成字典索引; 
    Pipe sparsepp=new StringArray2SV(af);
    //将目标值对应的索引号作为类别
    Pipe targetpp = new Target2Label(af.DefaultLabelAlphabet()); 
    //建立pipe组合
    SeriesPipes pp = new SeriesPipes(new Pipe[]{removepp,segpp,s2spp,targetpp,sparsepp});

    System.out.print("\nReading data......\n");
    InstanceSet instset = new InstanceSet(pp,af); 
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    // 将样本通过Pipe抽取特征
    features = factory.DefaultFeatureAlphabet();
    featurePipe = new Sequence2FeatureSequence(templets, features, labels);
    AddCharRange typePip = new AddCharRange();
    Pipe weightPipe = new WeightPipe(true);
    Pipe pipe = new SeriesPipes(new Pipe[] { new Target2Label(labels),  typePip, featurePipe, weightPipe  });
    return pipe;
  }
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Related Classes of org.fnlp.nlp.pipe.Target2Label

  • org.fnlp.app.tc.TextClassifier
  • org.fnlp.demo.ml.HierClassifierUsage2
  • org.fnlp.demo.ml.SequenceLabeling
  • org.fnlp.demo.ml.SimpleClassifier2
  • org.fnlp.demo.nlp.tc.TextClassificationBasedOnBayes
  • org.fnlp.demo.nlp.tc.TextClassificationBasedOnBayes2
  • org.fnlp.demo.nlp.tc.TextClassificationBasedOnKNN
  • org.fnlp.demo.nlp.tc.TextClassificationCustom
  • org.fnlp.demo.nlp.tc.TextClassificationCustom1
  • org.fnlp.demo.nlp.tc.TextClassificationTest
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