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
