code: def columnConfidences(self, cellConfidences=None):
      
  
      if cellConfidences is None:
        cellConfidences = self.confidence['t']
  
      colConfidences = cellConfidences.sum(axis=1)
  
      # Make the max column confidence 1.0
      #colConfidences /= colConfidences.max()
  
      return colConfidences
docs: Compute the column confidences given the cell confidences. If
      None is passed in for cellConfidences, it uses the stored cell confidences
      from the last compute.
  
      Parameters:
      ----------------------------
      cellConfidencs      : cell confidences to use, or None to use the
                            the current cell confidences.
  
      retval:             : Column confidence scores.