code: def print_help(model, defaults=None):
      
      defaults = defaults or {}
  
      print("This is the help for the model-specific parameters.")
      print("To invoke help for the remaining options, run:")
      print("python {} -- --help".format(sys.argv[0]))
      print()
  
      lines = (_get_help_for_estimator(prefix, estimator, defaults=defaults) for
               prefix, estimator in _yield_estimators(model))
      print('\n'.join(chain(*lines)))
docs: Print help for the command line arguments of the given model.
  
      Parameters
      ----------
      model : sklearn.base.BaseEstimator
        The basic model, e.g. a ``NeuralNet`` or sklearn ``Pipeline``.
  
      defautls : dict or None (default=None)
        Optionally, change the default values to use custom
        defaults. Commandline arguments have precedence over defaults.