docs: def main(model_folder, override=False):
      """Parse the info.yml from ``model_folder`` and create the model file."""
      model_description_file = os.path.join(model_folder, "info.yml")
      # Read the model description file
      with open(model_description_file, 'r') as ymlfile:
          model_description = yaml.load(ymlfile)
  
      project_root = utils.get_project_root()
      # Read the feature description file
      feature_folder = os.path.join(project_root,
                                    model_description['data-source'])
      with open(os.path.join(feature_folder, "info.yml"), 'r') as ymlfile:
          feature_description = yaml.load(ymlfile)
      # Get a list of all used features
      feature_list = features.get_features(feature_description['features'])
      # Get the dimension of the feature vector
      input_features = sum(map(lambda n: n.get_dimension(), feature_list))
      logging.info("Number of features: %i", input_features)
  
      # Analyze model
      logging.info(model_description['model'])
      if model_description['model']['type'] != 'mlp':
          return
      create_model(model_folder,
                   model_description['model']['type'],
                   model_description['model']['topology'],
                   override)
      utils.create_run_logfile(model_folder)