小编siv*_*VI4的帖子

我正在尝试使用我自己的数据集而不是 MNIST 数据集来重现下面的 2 个教程。 https://docs.microsoft.com/ja-jp/azure/machine-learning/service/tutorial-auto-train-models https://docs.microsoft.com/ja-jp/azure/machine-learning/service /tutorial-deploy-models-with-aml

关于 '/notebooks/tutorials/03.auto-train-models.ipynb' 没有问题。我有'model.pkl'。

但是，“/notebooks/tutorials/02.deploy-models.ipynb”在“预测测试数据”单元格中存在以下错误。我想这是“泡菜”和“进口”的问题。

请告诉我解决方案。

ModuleNotFoundError                       Traceback (most recent call last)
<ipython-input-6-11cf888b622f> in <module>
      2 from sklearn.externals import joblib
      3 
----> 4 clf = joblib.load('./model.pkl')
      5 # clf = joblib.load('./sklearn_mnist_model.pkl')
      6 y_hat = clf.predict(X_test)

~/anaconda3_501/lib/python3.6/site-packages/sklearn/externals/joblib/numpy_pickle.py in load(filename, mmap_mode)
    576                     return load_compatibility(fobj)
    577 
--> 578                 obj = _unpickle(fobj, filename, mmap_mode)
    579 
    580     return obj

~/anaconda3_501/lib/python3.6/site-packages/sklearn/externals/joblib/numpy_pickle.py in _unpickle(fobj, filename, mmap_mode)
    506     obj = None
    507     try:
--> 508         obj = unpickler.load()
    509         if unpickler.compat_mode: …