Package org.fnlp.ml.feature

Examples of org.fnlp.ml.feature.BaseGenerator

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    System.out.println("Class Number: " + al.size());

    float c = 1.0f;
    int round = 20;
   
    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);
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    System.out.println("Class Number: " + lf.size());

    float c = 1.0f;
    int round = 10;
   
    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);
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Related Classes of org.fnlp.ml.feature.BaseGenerator

  • org.fnlp.demo.ml.HierClassifierUsage1
  • org.fnlp.demo.ml.HierClassifierUsage2
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