python缩进问题

def predict_data(tr_data,i):
    hidden_states = model.predict(tr_data)
    loglik, posterior = model.score_samples(tr_data)
    last_state = hidden_states[-1]
    prop_stat = posterior[:, last_state]
    last_pro = prop_stat[-1]
    len_pro = len(prop_stat) - 1
    abs_pro = np.zeros(len_pro)
    for j in range(len_pro):
        abs_pro[j] = abs(prop_stat[j] - last_pro)
        abs_pro_ind = np.argsort(abs_pro)
        abs_pro_log = np.log(abs_pro)
    d = 5
    weigh = np.zeros(d)
    weigh_deno = 0
    for j in range(d):
        weigh_deno += 1 / abs_pro_log[abs_pro_ind[j]]
    for j in range(d):
        weigh[j] = 1 / (abs_pro_log[abs_pro_ind[j]] * weigh_deno)
    print("权重和", weigh.sum())
    pre_data = tr_data[-1]
    for j in range(d):
        pre_data += weigh[j] * (tr_data[abs_pro_ind[j] + 1] - tr_data[abs_pro_ind[j]])
    return pre_data

有没有大佬告诉我一下这个怎么错了

用notepad检查没有发现有缩进问题，你的完整异常信息是什么? 贴出来看看。