class_docstr: Base class for interfacing statsmodels forecasting algorithms.
class_docstr_tok: ["Base","class","for","interfacing","statsmodels","forecasting","algorithms","."]
code: def __init__(self, random_state=None):
      self._forecaster = None
      self.random_state = random_state
      self._fitted_forecaster = None
      super().__init__()
  
file_path: sktime/sktime/forecasting/base/adapters/_statsmodels.py
imports: import inspect
  import numpy
  import pandas
  from sktime.forecasting.base import BaseForecaster
  from sktime.utils.warnings import warn
label_desc: Use image node_id 1 to create a new _StatsModelsAdapter object from inherited base classes: BaseForecaster with example: obj = _StatsModelsAdapter(random_state)