Examples of SuffixSensitiveGISModelWriter

            model = GIS.trainModel(es,USE_SMOOTHING);
          }
          else {
            model = GIS.trainModel(100, new OnePassRealValueDataIndexer(es,0), USE_SMOOTHING);
          }
          writer =  new SuffixSensitiveGISModelWriter(model, outputFile);
        }
        else if (type.equals("perceptron")){ 
          System.err.println("Perceptron training");
          model = new PerceptronTrainer().trainModel(10, new OnePassDataIndexer(es,0),0);
          writer = new SuffixSensitivePerceptronModelWriter(model, outputFile);

Examples of opennlp.maxent.io.SuffixSensitiveGISModelWriter

    try {
      model = GIS.trainModel(iterations, new OnePassRealValueDataIndexer(es, cutoff));
    } finally {
      es.close();
    }
    new SuffixSensitiveGISModelWriter(model, new File(eventFile + ".bin.gz")).persist();
  }

Examples of opennlp.maxent.io.SuffixSensitiveGISModelWriter

          model = GIS.trainModel(maxit, 
         new OnePassRealValueDataIndexer(es, cutoff),              
         USE_SMOOTHING);
        }


  writer = new SuffixSensitiveGISModelWriter(model, outputFile);


      } else if (type.equals("perceptron")) {
        //System.err.println("Perceptron training");
        model = new PerceptronTrainer().trainModel(maxit, new OnePassDataIndexer(es, cutoff), cutoff);

Examples of opennlp.maxent.io.SuffixSensitiveGISModelWriter

    try {
      model = GIS.trainModel(es,iterations,cutoff);
    } finally {
      es.close();
    }
    new SuffixSensitiveGISModelWriter(model, new File(eventFile+".bin.gz")).persist();
  }

Examples of opennlp.maxent.io.SuffixSensitiveGISModelWriter

        Event e = ei.next();
        writer.write(e.toString()+"\n");
      }
      writer.close();
    }
    (new SuffixSensitiveGISModelWriter(GIS.trainModel(
        new CollectionEventStream(events),100,10),
        new File(modelName+modelExtension))).persist();
  }

Examples of opennlp.maxent.io.SuffixSensitiveGISModelWriter

   * @throws IOException
   */
  @Deprecated
  public static void trainMaxentModel(EventStream evc, File modelFile) throws IOException {
    AbstractModel model = trainMaxentModel(evc, 100,5);
    new SuffixSensitiveGISModelWriter(model, modelFile).persist();
  }

Examples of opennlp.maxent.io.SuffixSensitiveGISModelWriter

        else {
          mod = trainMaxentModel(es, iterations, cutoff);


          System.out.println("Saving the model as: " + outFile);


          new SuffixSensitiveGISModelWriter(mod, outFile).persist();
        }
      }
    }
    catch (Exception e) {
      e.printStackTrace();

Examples of opennlp.maxent.io.SuffixSensitiveGISModelWriter

        ReVerbOpenNlpClassifierTrainer trainer = new ReVerbOpenNlpClassifierTrainer(
                reader.readExtractions());
        GISModel model = trainer.getModel();


        File outputFile = new File(args[1]);
        GISModelWriter writer = new SuffixSensitiveGISModelWriter(model, outputFile);
        writer.persist();
    }

Examples of opennlp.maxent.io.SuffixSensitiveGISModelWriter

        System.err.println("Unknown model type: " + type);
        model = null;
      }


      File outputFile = new File(modelFileName);
      GISModelWriter writer = new SuffixSensitiveGISModelWriter(model,
          outputFile);
      writer.persist();
    } catch (Exception e) {
      System.out.print("Unable to create model due to exception: ");
      System.out.println(e);
      e.printStackTrace();
    }

Examples of opennlp.maxent.io.SuffixSensitiveGISModelWriter

          Event e = ei.next();
          writer.write(e.toString()+"\n");
        }
        writer.close();
      }
      (new SuffixSensitiveGISModelWriter(GIS.trainModel(new CollectionEventStream(events),100,10),new File(modelName+modelExtension))).persist();
      nonReferentialResolver.train();
    }
  }

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