def create_group_error_arrays()

in src/minmaxML.py [0:0]


def create_group_error_arrays(num_group_types, numsteps, numgroups):
    grouperrs = [np.array([]) for _ in range(num_group_types)]
    agg_grouperrs = [np.array([]) for _ in range(num_group_types)]
    for i in range(num_group_types):
        grouperrs[i] = np.zeros((numsteps, numgroups[i]))
        agg_grouperrs[i] = np.zeros((numsteps, numgroups[i]))
    return grouperrs, agg_grouperrs