code: def set_params(self, **kwargs):
      try:
          result = super().set_params(**kwargs)
      except Exception:
          result = self._final_estimator.set_params(**kwargs)
  
      return result
  
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 24 for calling the Pipeline obj's underlying member method code with example usage: obj.set_params() and returns: result