code: def _return_model_names():
      """Return all model names."""
      data = get_data("airline")
      exp = TSForecastingExperiment()
      exp.setup(data=data, session_id=42)
      model_containers = get_all_model_containers(exp)
  
      models_to_ignore = (
          ["prophet", "ensemble_forecaster"]
          if _check_windows()
          else ["ensemble_forecaster"]
      )
  
      model_names_ = []
      for model_name in model_containers.keys():
          if model_name not in models_to_ignore:
              model_names_.append(model_name)
  
      return model_names_
  
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 9 for calling a global function with example usage: _return_model_names() and returns: model_names_