code: def __init__(
      self,
      model_results=None,
      predict_args=None,
      predict_kwargs=None,
      **kw,
  ):
      super().__init__(
          _model_results=model_results,
          _predict_args=predict_args,
          _predict_kwargs=predict_kwargs,
          **kw,
      )
  
file_path: mars/mars/learn/contrib/statsmodels/predict.py
imports: import pickle
  import numpy
  from ....None import opcodes
  from ....core import OutputType, recursive_tile
  from ....dataframe.core import DATAFRAME_TYPE, SERIES_TYPE
  from ....serialization.serializables import BytesField, DictField, TupleField
  from ...operands import LearnOperand, LearnOperandMixin
label_desc: Use image node_id 1 to create a new StatsModelsPredict object from inherited base classes: LearnOperand, LearnOperandMixin with example: obj = StatsModelsPredict(model_results, predict_args, predict_kwargs)