class_docstr: Base adapter class for StatsForecast models.
class_docstr_tok: ["Base","adapter","class","for","StatsForecast","models","."]
code: def __init__(self):
      super().__init__()
  
      self._forecaster = None
      pred_supported = self._check_supports_pred_int()
      self._support_pred_int_in_sample = pred_supported["int_in_sample"]
      self._support_pred_int = pred_supported["int"]
  
      self.set_tags(
          **{
              "capability:pred_int:insample": self._support_pred_int_in_sample
          }
      )
      self.set_tags(**{"capability:pred_int": self._support_pred_int})
  
imports: from inspect import signature
  from typing import Dict
  from warnings import warn
  import pandas
  from sktime.forecasting.base import BaseForecaster
label_desc: Use image node_id 1 to create a new _GeneralisedStatsForecastAdapter object from inherited base classes: BaseForecaster with example: obj = _GeneralisedStatsForecastAdapter()