parameters: (self)
docstring: Compute scaling factors relative to reference data set
docstring_summary: Compute scaling factors relative to reference data set
docstring_tokens: Compute scaling factors relative to reference data set
function: def compute(self):
          """
              Compute scaling factors relative to reference data set
          """
          if len(self._data_sets) < 2:
              return
  
          for i in range(self._reference-1, -1, -1):
              Stitcher.normalize(self._data_sets[i+1], self._data_sets[i])
          for i in range(self._reference, len(self._data_sets)-1):
              Stitcher.normalize(self._data_sets[i], self._data_sets[i+1])
function_tokens: def compute ( self ) : if len ( self . _data_sets ) < 2 : return for i in range ( self . _reference - 1 , - 1 , - 1 ) : Stitcher . normalize ( self . _data_sets [ i + 1 ] , self . _data_sets [ i ] ) for i in range ( self . _reference , len ( self . _data_sets ) - 1 ) : Stitcher . normalize ( self . _data_sets [ i ] , self . _data_sets [ i + 1 ] )