code: def predict(self, dataframe, ntree_limit=None):
      if ntree_limit is None:
          ntree_limit = self.best_ntree_limit or 0
      with self.xgboost_lock:
          return super(Base, self).predict(
              dataframe, ntree_limit=ntree_limit
          )
  
imports: from __future__ import absolute_import
  import inspect
  import logging
  import warnings
  import threading
  import lore.env
  import lore.estimators
  from lore.util import timed, before_after_callbacks
  import xgboost
label_desc: Use image node_id 5 for calling the Base obj's underlying member method code with example usage: obj.predict(dataframe, ntree_limit) and returns: super