code: def test_regression_parallel():
      from pycaret.parallel import FugueBackend
  
      pr.setup(
          data=get_data("insurance", verbose=False),
          target="charges",
          session_id=0,
          n_jobs=1,
          verbose=False,
          html=False,
      )
  
      test_models = pr.models().index.tolist()[:5]
  
      pr.compare_models(include=test_models, n_select=2)
      pr.compare_models(
          include=test_models, n_select=2, parallel=FugueBackend("dask")
      )
  
      fconf = {
          "fugue.rpc.server": "fugue.rpc.flask.FlaskRPCServer",  # keep this value
          "fugue.rpc.flask_server.host": "localhost",  # the driver ip address workers can access
          "fugue.rpc.flask_server.port": "3333",  # the open port on the dirver
          "fugue.rpc.flask_server.timeout": "2 sec",  # the timeout for worker to talk to driver
      }
  
      be = FugueBackend(
          "dask",
          fconf,
          display_remote=True,
          batch_size=3,
          top_only=False,
      )
      pr.compare_models(n_select=2, parallel=be)
  
      res = pr.pull()
      assert res.shape[0] > 10
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_regression_parallel() without return types