code: def threshold(self, data, recall_weight=1.5):  # pragma: no cover
          
  
          blocked_pairs = self._blockData(data)
          return self.thresholdBlocks(blocked_pairs, recall_weight)
docs: Returns the threshold that maximizes the expected F score,
          a weighted average of precision and recall for a sample of
          data.
  
          Arguments:
          data          -- Dictionary of records, where the keys are record_ids
                           and the values are dictionaries with the keys being
                           field names
  
          recall_weight -- Sets the tradeoff between precision and
                           recall. I.e. if you care twice as much about
                           recall as you do precision, set recall_weight
                           to 2.