code: def predict(
      self,
      n: int,
      num_samples: int = 1,
      verbose: bool = False,
      show_warnings: bool = True,
  ):
      super().predict(n, num_samples)
      forecast_dict = self.model.predict(
          h=n,
      )
  
      mu = forecast_dict["mean"]
  
      return self._build_forecast_series(mu)
  
file_path: darts/darts/models/forecasting/sf_auto_ces.py
imports: from statsforecast.models import AutoCES
  from darts import TimeSeries
  from darts.models.forecasting.forecasting_model import LocalForecastingModel
label_desc: Use image node_id 3 for calling the StatsForecastAutoCES obj's underlying member method code with example usage: obj.predict(n, num_samples, verbose, show_warnings) and returns: self