code: def predict(self, *args, **kwargs):
          
          return super(TablesModel, self).predict(*args, **kwargs)
docs: Predict given DataFrame using the given model. Actual prediction steps will not
          be executed till an operational step is called.
  
          :param list[DataFrame] args: input DataFrames to be predicted
          :param kwargs: named input DataFrames or prediction parameters, details can be found in ''Predictor Parameters'' section of training algorithms.
  
          A :class:`DataFrame` object will be generated for input data. Output fields may be referenced in the
          documents of training algorithms.