code: def pull(pop: bool = False) -> pd.DataFrame:
      """
      Returns last printed score grid. Use ``pull`` function after
      any training function to store the score grid in pandas.DataFrame.
  
  
      pop: bool, default = False
          If True, will pop (remove) the returned dataframe from the
          display container.
  
  
      Returns:
          pandas.DataFrame
  
      """
      return _CURRENT_EXPERIMENT.pull(pop=pop)
  
imports: import logging
  import os
  from typing import TYPE_CHECKING, Any, BinaryIO, Callable, Dict, List, Optional, Tuple, Union
  import numpy
  import pandas
  from pycaret.internal.parallel.parallel_backend import ParallelBackend
  from pycaret.time_series.forecasting.oop import TSForecastingExperiment
  from pycaret.utils.generic import check_if_global_is_not_none
label_desc: Use image node_id 14 for calling a global function with example usage: pull(pop) and returns: _CURRENT_EXPERIMENT