code: def _get_help_for_estimator(prefix, estimator, defaults=None):
      """Yield help lines for the given estimator and prefix."""
      from numpydoc.docscrape import ClassDoc
  
      defaults = defaults or {}
      estimator = _extract_estimator_cls(estimator)
      yield "<{}> options:".format(estimator.__name__)
  
      doc = ClassDoc(estimator)
      yield from _get_help_for_params(
          doc["Parameters"],
          prefix=prefix,
          defaults=defaults,
      )
      yield ""
  
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 12 for calling a global function with example usage: _get_help_for_estimator(prefix, estimator, defaults) without return types