code: def test_fit_predict_large_numbers(
      self, large_numbers_ts, backend, scaling, expected
  ):
      test_days = 30
      train, test = train_test_split(large_numbers_ts, test_days)
      forecaster = Prophet(stan_backend=backend, scaling=scaling)
      forecaster.fit(train, seed=1237861298)
      np.random.seed(876543987)
      future = forecaster.make_future_dataframe(
          test_days, include_history=False
      )
      future = forecaster.predict(future)
      res = rmse(future["yhat"], test["y"])
      assert res == pytest.approx(expected, 0.01), "backend: {}".format(
          forecaster.stan_backend
      )
  
imports: import numpy
  import pandas
  import pytest
  from prophet import Prophet
  from prophet.utilities import warm_start_params
label_desc: Use image node_id 3 for calling the TestProphetFitPredictDefault obj's underlying member method code with example usage: obj.test_fit_predict_large_numbers(large_numbers_ts, backend, scaling, expected) without return types