Package au.com.bytecode.opencsv

Examples of au.com.bytecode.opencsv.CSVWriter.writeNext()

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        for (int k = 0; k < cf.size(); k++) {
          row.add(String.valueOf(x[k].getScore()));
        }
        row.add("");
        String[] dataEntry = row.toArray(new String[row.size()]);
        writer.writeNext(dataEntry);
      }
      writer.flush();
      writer.close();
    } catch (Exception ex) {
      ex.printStackTrace();
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      // get attribute names
      Collection<String> attrStrings = rf.getFeatureNames();
      String[] attr_names = attrStrings.toArray(new String[attrStrings
          .size() + 1]);
      attr_names[attr_names.length - 1] = "label";
      writer.writeNext(attr_names);
      for (String label : class2Records.keySet()) {

        for (String Record : class2Records.get(label)) {
          Vector<String> row = new Vector<String>();
          Collection<Feature> cf = rf.computeFeatures(Record, label);
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          for (int k = 0; k < cf.size(); k++) {
            row.add(String.valueOf(x[k].getScore()));
          }
          row.add(label); // change this according to the dataset.
          String[] dataEntry = row.toArray(new String[row.size()]);
          writer.writeNext(dataEntry);
        }

      }
      writer.flush();
      writer.close();
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      for(Output output : module.outputs())
        line[i++] = output.name();
         
     
      writer.writeNext(line);
     
      // * Write the outputs
     
      for(ModuleInstance instance : module.instances())
      {
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        for(InstanceOutput output : instance.outputs())
          line[i++] = Functions.toString(output.value());
       
           
     
        writer.writeNext(line);
      }
     
      writer.close();
    }
   
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    }
    File file = new File(destination);
    IOHelper.checkDirectory(file);
    PrintWriter pw = new PrintWriter(file);
    CSVWriter writer = new CSVWriter(pw);
    writer.writeNext(header);
    while (rs.next()) {
      String[] row = new String[columnCount];
      for (int i = 0; i < columnCount; i++) {
        String string = rs.getString(i + 1);
        if (string == null) {
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        if (string == null) {
          string = "";
        }
        row[i] = string;
      }
      writer.writeNext(row);
    }
  }
}
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              }
            }
            String filename = path + "LabelData_"+labdata.getLine() + "_" + unique + ".csv";

            CSVWriter writer = new CSVWriter(new FileWriter(filename), ',');
            writer.writeNext(heading);
            writer.writeNext(data);
            writer.close();
            result = true;
            il.write(gmh, GenericMessageHeader.msgStatusSuccess, "Processed OK", "File Write", filename);
            setErrorMessage("");
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            }
            String filename = path + "LabelData_"+labdata.getLine() + "_" + unique + ".csv";

            CSVWriter writer = new CSVWriter(new FileWriter(filename), ',');
            writer.writeNext(heading);
            writer.writeNext(data);
            writer.close();
            result = true;
            il.write(gmh, GenericMessageHeader.msgStatusSuccess, "Processed OK", "File Write", filename);
            setErrorMessage("");
          }
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    wfFilter.setResampleOnly(false);
    rsFilter.setNumParticles(N);

    CSVWriter writer = new CSVWriter(new FileWriter(outputFilename), ',');
    String[] header = "rep,t,filter.type,measurement.type,resample.type,measurement".split(",");
    writer.writeNext(header);

    GaussianArHmmClassEvaluator wfClassEvaluator = new GaussianArHmmClassEvaluator("wf-pl",
        writer);
    GaussianArHmmClassEvaluator mkfClassEvaluator = new GaussianArHmmClassEvaluator("mkf",
        writer);
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