code: def save_experiment(
      path_or_file: Union[str, os.PathLike, BinaryIO],
      **cloudpickle_kwargs,
  ) -> None:
      """
      Saves the experiment to a pickle file.
  
      The experiment is saved using cloudpickle to deal with lambda
      functions. The data or test data is NOT saved with the experiment
      and will need to be specified again when loading using
      ``load_experiment``.
  
  
      path_or_file: str or BinaryIO (file pointer)
          The path/file pointer to save the experiment to.
  
  
      **cloudpickle_kwargs:
          Kwargs to pass to the ``cloudpickle.dump`` call.
  
  
      Returns:
          None
  
      """
  
      return _CURRENT_EXPERIMENT.save_experiment(
          path_or_file=path_or_file, **cloudpickle_kwargs
      )
  
imports: import logging
  import os
  from typing import Any, BinaryIO, Callable, Dict, List, Optional, Union
  import pandas
  from joblib.memory import Memory
  from pycaret.internal.parallel.parallel_backend import ParallelBackend
  from pycaret.loggers.base_logger import BaseLogger
  from pycaret.regression.oop import RegressionExperiment
  from pycaret.utils.constants import DATAFRAME_LIKE, SEQUENCE_LIKE, TARGET_LIKE
  from pycaret.utils.generic import check_if_global_is_not_none
label_desc: Use image node_id 27 for calling a global function with example usage: save_experiment(path_or_file) and returns: _CURRENT_EXPERIMENT