          Parameters
          ----------
          data: dict
              The incoming tensorflow event data in dictionary form per step
          length_loss: int
              The number of loss items that should appear for each step
          is_live: bool, optional
              ``True`` if the data to be cached is from a live training session otherwise ``False``.
              Default: ``False``
  
          Returns
 
</s> remove         length_loss: int
            The number of loss items that should appear for each step
 </s> add  </s> remove     def _to_numpy(self, data, length_loss, is_live):
 </s> add     def _to_numpy(self, data, is_live): </s> remove     def _process_data(self, data, timestamps, loss, length_loss, is_live):
 </s> add     def _process_data(self, data, timestamps, loss, is_live): </s> remove         timestamps, loss = self._to_numpy(data, len(labels), is_live)
 </s> add         if labels:
            logger.debug("Setting loss labels: %s", labels)
            self._loss_labels = labels

        timestamps, loss = self._to_numpy(data, is_live)
          Parameters
          ----------
          data: dict
              The incoming tensorflow event data in dictionary form per step


          is_live: bool, optional
              ``True`` if the data to be cached is from a live training session otherwise ``False``.
              Default: ``False``
  
          Returns
keep keep keep keep replace replace keep keep keep keep keep
 GUI - Analysis Bugfix
   - Get correct length of loss labels when carrying over raw data 
lib/gui/analysis/event_reader.py