code: def get_parameters(folder):
      
  
      # Read the model description file
      with open(os.path.join(folder, "info.yml"), 'r') as ymlfile:
          preprocessing_description = yaml.load(ymlfile)
  
      # Get the path of the raw data
      raw_datapath = os.path.join(utils.get_project_root(),
                                  preprocessing_description['data-source'])
      # Get the path were the preprocessed file should be put
      outputpath = os.path.join(folder, "data.pickle")
  
      # Get the preprocessing queue
      tmp = preprocessing_description['queue']
      preprocessing_queue = preprocessing.get_preprocessing_queue(tmp)
      return (raw_datapath, outputpath, preprocessing_queue)
docs: Get the parameters of the preprocessing done within `folder`.
  
      Parameters
      ----------
      folder : string
  
      Returns
      -------
      tuple : (path of raw data,
               path where preprocessed data gets stored,
               list of preprocessing algorithms)