code: def _get_all_metrics():
      exp = TSForecastingExperiment()
      data = get_data("airline")
      exp.setup(data=data)
      all_metrics = exp.get_metrics()["Name"].to_list()
      return all_metrics
  
imports: import random
  import numpy
  import pandas
  from pandas.testing import assert_frame_equal
  from sktime.forecasting.base import ForecastingHorizon
  from pycaret.containers.models.time_series import get_all_model_containers
  from pycaret.datasets import get_data
  from pycaret.time_series import TSForecastingExperiment
  from pycaret.utils.time_series import SeasonalPeriod
label_desc: Use image node_id 5 for calling a global function with example usage: _get_all_metrics() and returns: all_metrics