def __init__(self, X_lower, X_upper, d):

        # Dimensions of the original space
        self.d_orig = X_lower.shape[0]

        # Dimension of the embedded space
        self.d = d

        # Draw random matrix from a normal distribution
        self.A = np.sqrt(self.d) * np.random.normal(loc=0.0,
                                               scale=1.0,
                                               size=(self.d_orig, self.d))
        # Save original space
        self.original_X_lower = X_lower
        self.original_X_upper = X_upper

        # Scale the original space to [-1, 1]
        self.original_scaled_X_lower = -1 * np.ones([self.d_orig])
        self.original_scaled_X_upper = 1 * np.ones([self.d_orig])

        # The embedded configuration space
        super(REMBO, self).__init__(X_lower=-np.sqrt(self.d) * np.ones(self.d),
                                    X_upper=np.sqrt(self.d) * np.ones(self.d),
                                    do_scaling=False)
:param resume: Should the download resume if partial download
dataset/ETHPy150Open automl/RoBO/robo/task/rembo.py/REMBO.__init__--crossover with--dataset/ETHPy150Open RoseOu/flasky/venv/lib/python2.7/site-packages/httpie/downloads.py/Download.__init__