code: def __init__(self, **kwargs):
      super().__init__(**kwargs)
      # method we used to define posteriors and prediction parameters
      self._point_method = None
  
      # init aggregate posteriors
      self._point_posteriors = {
          PredictMethod.MEAN.value: dict(),
          PredictMethod.MEDIAN.value: dict(),
      }
  
file_path: orbit/orbit/forecaster/svi.py
imports: import numpy
  import pandas
  from functools import partial
  from ..constants.constants import PredictMethod, PredictionKeys
  from ..exceptions import ForecasterException
  from ..utils.predictions import prepend_date_column, compute_percentiles
  from .forecaster import Forecaster
label_desc: Use image node_id 1 to create a new SVIForecaster object from inherited base classes: Forecaster with example: obj = SVIForecaster()