python GMMHMM拟合（X）

Question

我正在做一个项目ragrading手语识别的表面肌电信号。现在，我想通过一个名为“single”的数组来训练GMMHMM模型。它的形状是（2520840）。你知道吗

for single in Norm_Feat_Vsplit:
    # print(shape(single))  # (180, 840)
    # print(type(single))  # <class 'numpy.ndarray'>
    clf = hmm.GMMHMM(n_components=7, n_mix=4, covariance_type="diag", n_iter=10)
    print('Training ' + str(index) + ' model... ')
    clf1 = clf.fit(single)
    print('Training finished!')
    # Save model
    print('Saving model...')
    joblib.dump(clf1, "Hmm_model" + str(index) + ".m")
    print('Saving finished!')

但总会出现如下值错误： （有时它似乎能够成功地训练第一个GMMHMM模型，但是第二个模型会有一个错误。） 输出：

Training 1 model... 
Traceback (most recent call last):
  File "E:/桌面/手语识别资料/程序/Single_Hand/Single_Hand/One_Hand_Train(注释).py", line 378, in <module>
    main()
  File "E:/桌面/手语识别资料/程序/Single_Hand/Single_Hand/One_Hand_Train(注释).py", line 365, in main
    clf1 = clf.fit(single)
  File "D:\Anaconda3\lib\site-packages\hmmlearn\base.py", line 436, in fit
    bwdlattice)
  File "D:\Anaconda3\lib\site-packages\hmmlearn\hmm.py", line 607, in _accumulate_sufficient_statistics
    raise ValueError
ValueError

Process finished with exit code 1

谢谢你的帮助！你知道吗