Package org.fnlp.ml.classifier.hier

Examples of org.fnlp.ml.classifier.hier.PATrainer

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    BaseGenerator featureGen = new BaseGenerator();
    ZeroOneLoss loss = new ZeroOneLoss();
    Inferencer msolver = new MultiLinearMax(featureGen, al, null,2);

    PATrainer trainer = new PATrainer(msolver, featureGen, loss, round,c, null);
    Linear pclassifier = trainer.train(train, null);
   
    String modelFile = path+".m.gz";
    pclassifier.saveTo(modelFile);

    long end = System.currentTimeMillis();
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    BaseGenerator featureGen = new BaseGenerator();
    ZeroOneLoss loss = new ZeroOneLoss();
    Inferencer msolver = new MultiLinearMax(featureGen, lf, null,2);

    PATrainer trainer = new PATrainer(msolver, featureGen, loss, round,c, null);
    Linear pclassifier = trainer.train(trainset, null);
    String modelFile = "./tmp/m.gz";
    pclassifier.saveTo(modelFile);
    pclassifier = null;
   
    System.out.println("分类器测试");
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Related Classes of org.fnlp.ml.classifier.hier.PATrainer

  • org.fnlp.demo.ml.HierClassifierUsage1
  • org.fnlp.demo.ml.HierClassifierUsage2
  • org.fnlp.ml.types.alphabet.LabelAlphabet
  • org.fnlp.ml.types.Instance
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