code: def test_fit_changepoint_not_in_history(
      self, daily_univariate_ts, backend
  ):
      train = daily_univariate_ts[
          (daily_univariate_ts["ds"] < "2013-01-01")
          | (daily_univariate_ts["ds"] > "2014-01-01")
      ]
      future = pd.DataFrame({"ds": daily_univariate_ts["ds"]})
      prophet = Prophet(
          changepoints=["2013-06-06"], stan_backend=backend
      )
      forecaster = prophet
      forecaster.fit(train)
      forecaster.predict(future)
      assert forecaster.params is not None
      assert forecaster.n_changepoints == 1
  
imports: import numpy
  import pandas
  import pytest
  from prophet import Prophet
  from prophet.utilities import warm_start_params
label_desc: Use image node_id 8 for calling the TestProphetFitPredictDefault obj's underlying member method code with example usage: obj.test_fit_changepoint_not_in_history(daily_univariate_ts, backend) without return types