code: def predict(self, exog, *args, **kwargs):
      session = kwargs.pop("session", None)
      run_kwargs = kwargs.pop("run_kwargs", dict())
      op = StatsModelsPredict(
          model_results=self, predict_args=args, predict_kwargs=kwargs
      )
      return op(exog).execute(session=session, **run_kwargs)
  
file_path: mars/mars/learn/contrib/statsmodels/api.py
imports: import pickle
  from .train import StatsModelsTrain
  from .predict import StatsModelsPredict
label_desc: Use image node_id 5 for calling the MarsResults obj's underlying member method code with example usage: obj.predict(exog) and returns: op