code: def _memory_full_transform(self):
      if INVERSE_ONLY:
          return _noop_transform
      if self._cache_full_transform:
          return self.__memory_full_transform
      else:
          return _full_transform
  
imports: import platform
  import warnings
  from copy import deepcopy
  from inspect import signature
  import imblearn.pipeline
  import sklearn.pipeline
  from sklearn.base import clone
  from sklearn.utils import _print_elapsed_time
  from sklearn.utils.metaestimators import available_if
  from sklearn.utils.validation import check_memory
  from pycaret.utils._show_versions import _get_deps_info
  from pycaret.utils.generic import get_all_object_vars_and_properties, variable_return
label_desc: Use image node_id 9 for calling the Pipeline obj's underlying member method code with example usage: obj._memory_full_transform() and returns: _noop_transform, self, _full_transform