def normalized(self, demeaned=True):
        if demeaned:
            mean_new = np.zeros_like(self.mean)
        else:
            mean_new = self.mean / self.std_sigma
        sigma_new = self.corr
        args = [getattr(self, ea) for ea in self.extra_args]
        return self.__class__(mean_new, sigma_new, *args)
Return the unique id of the board
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/sandbox/distributions/mv_normal.py/MVElliptical.normalized--crossover with--dataset/ETHPy150Open mbedmicro/pyOCD/pyOCD/board/mbed_board.py/MbedBoard.getUniqueID