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