Examples of saveTo()

Examples of org.apache.shiro.web.servlet.SimpleCookie.saveTo()

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    }
    Cookie template = getSessionIdCookie();
    Cookie cookie = new SimpleCookie(template);
    String idString = currentId.toString();
    cookie.setValue(idString);
    cookie.saveTo(request, response);
    log.trace("Set session ID cookie for session with id {}", idString);
  }

  private void removeSessionIdCookie(HttpServletRequest request, HttpServletResponse response) {
    getSessionIdCookie().removeFrom(request, response);
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Examples of org.fnlp.ml.classifier.bayes.BayesClassifier.saveTo()

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    af.setStopIncrement(true);
    BayesTrainer trainer=new BayesTrainer();
    BayesClassifier classifier= (BayesClassifier) trainer.train(trainset);
    System.out.print("..Training complete!\n");
    System.out.print("Saving model...\n");
    classifier.saveTo(bayesModelFile); 
    classifier = null;
    System.out.print("..Saving model complete!\n");
    /**
     * 测试
     */
 
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Examples of org.fnlp.ml.classifier.bayes.BayesClassifier.saveTo()

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    pp.removeTargetPipe();
    classifier.setPipe(pp);
    af.setStopIncrement(true);
    System.out.print("..Training complete!\n");
    System.out.print("Saving model...\n");
    classifier.saveTo(bayesModelFile); 
    classifier = null;
    System.out.print("..Saving model complete!\n");
    /**
     * 测试
     */
 
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Examples of org.fnlp.ml.classifier.hier.Linear.saveTo()

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    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();
    System.out.println("Total Time: " + (end - start));
    System.out.println("End!");
    (new File(modelFile)).deleteOnExit();
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Examples of org.fnlp.ml.classifier.hier.Linear.saveTo()

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    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");
    pclassifier = Linear.loadFrom(modelFile);
    float[] tdata = new float[]{1,0,1};
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Examples of org.fnlp.ml.classifier.knn.KNNClassifier.saveTo()

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    pp.removeTargetPipe();
    KNNClassifier knn=new KNNClassifier(trainset, pp, sim, af2, 7); 
    af2.setStopIncrement(true); 
    System.out.print("..Training compelte!\n");
    System.out.print("Saving model...\n");
    knn.saveTo(knnModelFile); 
    knn = null;
    System.out.print("..Saving model compelte!\n");

   
    System.out.print("Loading model...\n");
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Examples of org.fnlp.ml.classifier.knn.KNNClassifier.saveTo()

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    FeatureSelect fs=new FeatureSelect(tf.getFeatureSize());
    long time_train=System.currentTimeMillis()-time_mark;
   
    System.out.print("..Training compelte!\n");
    System.out.print("Saving model...\n");
    knn.saveTo(knnModelFile); 
    knn = null;
    System.out.print("..Saving model compelte!\n");

   
    System.out.print("Loading model...\n");
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Examples of org.fnlp.ml.classifier.linear.Linear.saveTo()

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      OnlineTrainer trainer = new OnlineTrainer(ms, update,l, factory.getFeatureSize(), 50,0.005f);
      Linear pclassifier = trainer.train(instset,instset);
      pipe.removeTargetPipe();
      pclassifier.setPipe(pipe);
      factory.setStopIncrement(true);
      pclassifier.saveTo(modelFile);
    }
 
}
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Examples of org.fnlp.ml.classifier.linear.Linear.saveTo()

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    System.out.print("Done");
  }

  public void optimizeDep(String file) throws LoadModelException, IOException {
    Linear cl= Linear.loadFrom(file); 
    cl.saveTo(file+".bak");
    removeZero(cl);
    cl.saveTo(file);
    System.out.print("Done");
  }
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Examples of org.fnlp.ml.classifier.linear.Linear.saveTo()

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  public void optimizeDep(String file) throws LoadModelException, IOException {
    Linear cl= Linear.loadFrom(file); 
    cl.saveTo(file+".bak");
    removeZero(cl);
    cl.saveTo(file);
    System.out.print("Done");
  }

}
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