def __mean_squared_error(self, model): accum = complex(0,0) for acquisition_direction in self.__acquisition_directions: accum += (model.value(acquisition_direction) - adc(self.__tensor, acquisition_direction))**2 return accum/len(self.__acquisition_directions)
def __adcs(self, tensor): adcs = [] for acquisition_direction in self.__acquisition_directions: adcs.append(adc(tensor, acquisition_direction)) return adcs