code: def print_help(model, defaults=None):
      """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.
  
      """
      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)))
  
imports: from functools import partial
  from importlib import import_module
  from itertools import chain
  import re
  import shlex
  import sys
  from sklearn.base import BaseEstimator
  from sklearn.pipeline import FeatureUnion
  from sklearn.pipeline import Pipeline
label_desc: Use image node_id 13 for calling a global function with example usage: print_help(model, defaults) without return types