def _get_G(k_params):
    I = np.eye(k_params)
    A = np.concatenate((-I, -I), axis=1)
    B = np.concatenate((I, -I), axis=1)
    C = np.concatenate((A, B), axis=0)
    # Return
    return matrix(C)
Creates a new image with the specified name. The image data can either
dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/base/l1_cvxopt.py/_get_G--crossover with--dataset/ETHPy150Open rackspace/pyrax/pyrax/image.py/ImageClient.create