class_docstr: Wrapper for StatsForecast models.
class_docstr_tok: ["Wrapper","for","StatsForecast","models","."]
code: def _get_point_forecast(
      self,
      time_series: pd.Series,
      local_model_args: Dict,
  ) -> np.ndarray:
      return self._get_local_model(local_model_args).forecast(
          h=self.prediction_length, y=time_series.values.ravel()
      )["mean"]
  
imports: import logging
  from typing import Any, Dict, Type
  import numpy
  import pandas
  from .abstract_local_model import AbstractLocalModel
label_desc: Use image node_id 4 for calling the AbstractStatsForecastModel obj's underlying member method code with example usage: obj._get_point_forecast(time_series, local_model_args) and returns: self