code: def create_output_semantics(model_folder, outputs):
      
      with open('output_semantics.csv', 'wb') as csvfile:
          model_description_file = os.path.join(model_folder, "info.yml")
          with open(model_description_file, 'r') as ymlfile:
              model_description = yaml.load(ymlfile)
  
          logging.info("Start fetching translation dict...")
          translation_dict = utils.get_index2data(model_description)
          spamwriter = csv.writer(csvfile, delimiter=';',
                                  quotechar='|', quoting=csv.QUOTE_MINIMAL)
          for output_index in range(outputs):
              if output_index in translation_dict:
                  # Add more information:
                  # 1. ID in my system
                  # 2. latex
                  # 3. unicode code point
                  # 4. font
                  # 5. font style
                  spamwriter.writerow(translation_dict[output_index])
              else:
                  print("No data for %i." % output_index)
                  spamwriter.writerow(["output %i" % output_index])
docs: Create a 'output_semantics.csv' file which contains information what the
      output of the single output neurons mean.
  
      Parameters
      ----------
      model_folder : str
          folder where the model description file is
      outputs : int
          number of output neurons