python - 使用 joblib.load 从磁盘读取 xgboost 模型时出现类型错误

Question

我只是想阅读 XGBoost模型来自 joblib ( os.path.exists(self._classifier_xgboost_path) 按预期返回 True):

self._xgboost_model = joblib.load(self._classifier_xgboost_path)

但是，我收到以下错误:

  File "/home/iai/Desktop/barak_8/main.py", line 150, in <module>
    main()
  File "/home/iai/Desktop/barak_8/main.py", line 32, in main
    classifier = Classifier(config=config)
  File "/home/iai/Desktop/barak_8/classifiers.py", line 56, in __init__
    if os.path.exists(self._classifier_xgboost_path) \
  File "/home/iai/Desktop/barak_8/venv/lib/python3.6/site-packages/joblib/numpy_pickle.py", line 585, in load
    obj = _unpickle(fobj, filename, mmap_mode)
  File "/home/iai/Desktop/barak_8/venv/lib/python3.6/site-packages/joblib/numpy_pickle.py", line 504, in _unpickle
    obj = unpickler.load()
  File "/usr/lib/python3.6/pickle.py", line 1050, in load
    dispatch[key[0]](self)
  File "/usr/lib/python3.6/pickle.py", line 1323, in load_newobj
    obj = cls.__new__(cls, *args)
TypeError: NoneType.__new__(X): X is not a type object (NoneType)

版本:

Python 3.6
xgboost 1.3.1
joblib 1.0.0

Answer 1

这很可能是由于缺少 xgboost 模型的某些依赖导入造成的。
我今天早些时候遇到了这个问题，就我而言，它是由于环境中缺少导入造成的。
我失踪了 scikit-learn在我的环境中。