docstr: Returns the output of the base Facebook Prophet model in form of a pandas DataFrame. Note however,
  that the output of this method is not supported for further processing with the Darts API.
  
  Methods of the base Prophet model can be accessed with self.model.method() (i.e. self.model.plot_components())
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code: def predict_raw(
      self, n: int, future_covariates: Optional[TimeSeries] = None
  ) -> pd.DataFrame:
      """Returns the output of the base Facebook Prophet model in form of a pandas DataFrame. Note however,
      that the output of this method is not supported for further processing with the Darts API.
  
      Methods of the base Prophet model can be accessed with self.model.method() (i.e. self.model.plot_components())
      """
      super().predict(n, future_covariates, num_samples=1)
  
      predict_df = self._generate_predict_df(
          n=n, future_covariates=future_covariates
      )
  
      return self.model.predict(predict_df, vectorized=True)
  
imports: import logging
  import re
  from typing import Callable, List, Optional, Sequence, Union
  import numpy
  import pandas
  import prophet
  from darts.logging import execute_and_suppress_output, get_logger, raise_if, raise_log
  from darts.models.forecasting.forecasting_model import FutureCovariatesLocalForecastingModel
  from darts.timeseries import TimeSeries
label_desc: Use image node_id 10 for calling the Prophet obj's underlying member method code with example usage: obj.predict_raw(n, future_covariates) and returns: self