scikit-learn - sklearn 模型选择错误 : ImportError: cannot import name '_approximate_mode'

Question

我正在尝试导入 sklearn model_selection 但出现以下错误:

ImportError                               Traceback (most recent call last)
<ipython-input-219-6bc6f0a77ca9> in <module>()
----> 1 import sklearn.model_selection

~/anaconda3/lib/python3.6/site-packages/sklearn/model_selection/__init__.py in <module>()
----> 1 from ._split import BaseCrossValidator
      2 from ._split import KFold
      3 from ._split import GroupKFold
      4 from ._split import StratifiedKFold
      5 from ._split import TimeSeriesSplit

~/anaconda3/lib/python3.6/site-packages/sklearn/model_selection/_split.py in <module>()
     21 
     22 from ..utils import indexable, check_random_state, safe_indexing
---> 23 from ..utils import _approximate_mode
     24 from ..utils.validation import _num_samples, column_or_1d
     25 from ..utils.validation import check_array

ImportError: cannot import name '_approximate_mode'

我尝试卸载 scikit-learn 并重新安装它，但我遇到了同样的错误。我当前的 scikit-learn 版本是 0.21.2。感谢您的帮助!

Answer 1

我关闭内核并重新启动它。现在它工作正常!谢谢!!