Package org.fnlp.ml.classifier.hier.inf

Examples of org.fnlp.ml.classifier.hier.inf.MultiLinearMax

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    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);
   
    String modelFile = path+".m.gz";
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    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);
    String modelFile = "./tmp/m.gz";
    pclassifier.saveTo(modelFile);
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Related Classes of org.fnlp.ml.classifier.hier.inf.MultiLinearMax

  • gnu.trove.iterator.TIntIterator
  • org.fnlp.demo.ml.HierClassifierUsage1
  • org.fnlp.demo.ml.HierClassifierUsage2
  • org.fnlp.ml.classifier.hier.Predict
  • org.fnlp.ml.types.sv.ISparseVector
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