如何解决在尝试导入 imblearn 时出现的 "cannot import name '_MissingValues' from 'sklearn.utils._param_validation'"问题？

我正在尝试在安装所需的模块后将 imblearn 导入到我的 python 笔记本中。但是，我收到以下错误：

附加信息：我正在 Visual Studio Code 中使用虚拟环境。

我已确保选择 venv 作为解释器和笔记本内核。我已经重新加载窗口并重新启动内核几次。我还多次卸载并安装了imbalanced-learn和 scikit-learn，无论是否带有“--upgrade”。我仍然遇到同样的错误。

编辑：错误的完整回溯

{
    "name": "ImportError",
    "message": "cannot import name '_MissingValues' from 'sklearn.utils._param_validation' (c:\\Users\\wen\\OneDrive\\Desktop\\Colab_Notebooks\\.venv\\Lib\\site-packages\\sklearn\\utils\\_param_validation.py)",
    "stack": "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mImportError\u001b[0m                               Traceback (most recent call last)\nCell \u001b[1;32mIn[1], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mimblearn\u001b[39;00m\n\u001b[0;32m      2\u001b[0m \u001b[39m# Data Processing\u001b[39;00m\n\u001b[0;32m      3\u001b[0m \u001b[39mimport\u001b[39;00m \u001b[39mpandas\u001b[39;00m \u001b[39mas\u001b[39;00m \u001b[39mpd\u001b[39;00m\n\nFile \u001b[1;32mc:\\Users\\wen\\OneDrive\\Desktop\\Colab_Notebooks\\.venv\\Lib\\site-packages\\imblearn\\__init__.py:52\u001b[0m\n\u001b[0;32m     48\u001b[0m     sys\u001b[39m.\u001b[39mstderr\u001b[39m.\u001b[39mwrite(\u001b[39m\"\u001b[39m\u001b[39mPartial import of imblearn during the build process.\u001b[39m\u001b[39m\\n\u001b[39;00m\u001b[39m\"\u001b[39m)\n\u001b[0;32m     49\u001b[0m     \u001b[39m# We are not importing the rest of scikit-learn during the build\u001b[39;00m\n\u001b[0;32m     50\u001b[0m     \u001b[39m# process, as it may not be compiled yet\u001b[39;00m\n\u001b[0;32m     51\u001b[0m \u001b[39melse\u001b[39;00m:\n\u001b[1;32m---> 52\u001b[0m     \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m \u001b[39mimport\u001b[39;00m (\n\u001b[0;32m     53\u001b[0m         combine,\n\u001b[0;32m     54\u001b[0m         ensemble,\n\u001b[0;32m     55\u001b[0m         exceptions,\n\u001b[0;32m     56\u001b[0m         metrics,\n\u001b[0;32m     57\u001b[0m         over_sampling,\n\u001b[0;32m     58\u001b[0m         pipeline,\n\u001b[0;32m     59\u001b[0m         tensorflow,\n\u001b[0;32m     60\u001b[0m         under_sampling,\n\u001b[0;32m     61\u001b[0m         utils,\n\u001b[0;32m     62\u001b[0m     )\n\u001b[0;32m     63\u001b[0m     \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39m_version\u001b[39;00m \u001b[39mimport\u001b[39;00m __version__\n\u001b[0;32m     64\u001b[0m     \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mbase\u001b[39;00m \u001b[39mimport\u001b[39;00m FunctionSampler\n\nFile \u001b[1;32mc:\\Users\\wen\\OneDrive\\Desktop\\Colab_Notebooks\\.venv\\Lib\\site-packages\\imblearn\\combine\\__init__.py:5\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[39m\"\"\"The :mod:`imblearn.combine` provides methods which combine\u001b[39;00m\n\u001b[0;32m      2\u001b[0m \u001b[39mover-sampling and under-sampling.\u001b[39;00m\n\u001b[0;32m      3\u001b[0m \u001b[39m\"\"\"\u001b[39;00m\n\u001b[1;32m----> 5\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39m_smote_enn\u001b[39;00m \u001b[39mimport\u001b[39;00m SMOTEENN\n\u001b[0;32m      6\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39m_smote_tomek\u001b[39;00m \u001b[39mimport\u001b[39;00m SMOTETomek\n\u001b[0;32m      8\u001b[0m __all__ \u001b[39m=\u001b[39m [\u001b[39m\"\u001b[39m\u001b[39mSMOTEENN\u001b[39m\u001b[39m\"\u001b[39m, \u001b[39m\"\u001b[39m\u001b[39mSMOTETomek\u001b[39m\u001b[39m\"\u001b[39m]\n\nFile \u001b[1;32mc:\\Users\\wen\\OneDrive\\Desktop\\Colab_Notebooks\\.venv\\Lib\\site-packages\\imblearn\\combine\\_smote_enn.py:12\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39msklearn\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mbase\u001b[39;00m \u001b[39mimport\u001b[39;00m clone\n\u001b[0;32m     10\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39msklearn\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mutils\u001b[39;00m \u001b[39mimport\u001b[39;00m check_X_y\n\u001b[1;32m---> 12\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mbase\u001b[39;00m \u001b[39mimport\u001b[39;00m BaseSampler\n\u001b[0;32m     13\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mover_sampling\u001b[39;00m \u001b[39mimport\u001b[39;00m SMOTE\n\u001b[0;32m     14\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mover_sampling\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mbase\u001b[39;00m \u001b[39mimport\u001b[39;00m BaseOverSampler\n\nFile \u001b[1;32mc:\\Users\\wen\\OneDrive\\Desktop\\Colab_Notebooks\\.venv\\Lib\\site-packages\\imblearn\\base.py:21\u001b[0m\n\u001b[0;32m     18\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39msklearn\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mutils\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mmulticlass\u001b[39;00m \u001b[39mimport\u001b[39;00m check_classification_targets\n\u001b[0;32m     20\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mutils\u001b[39;00m \u001b[39mimport\u001b[39;00m check_sampling_strategy, check_target_type\n\u001b[1;32m---> 21\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mutils\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39m_param_validation\u001b[39;00m \u001b[39mimport\u001b[39;00m validate_parameter_constraints\n\u001b[0;32m     22\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39m.\u001b[39;00m\u001b[39mutils\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39m_validation\u001b[39;00m \u001b[39mimport\u001b[39;00m ArraysTransformer\n\u001b[0;32m     25\u001b[0m \u001b[39mclass\u001b[39;00m \u001b[39mSamplerMixin\u001b[39;00m(BaseEstimator, metaclass\u001b[39m=\u001b[39mABCMeta):\n\nFile \u001b[1;32mc:\\Users\\wen\\OneDrive\\Desktop\\Colab_Notebooks\\.venv\\Lib\\site-packages\\imblearn\\utils\\_param_validation.py:908\u001b[0m\n\u001b[0;32m    906\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39msklearn\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mutils\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39m_param_validation\u001b[39;00m \u001b[39mimport\u001b[39;00m generate_valid_param  \u001b[39m# noqa\u001b[39;00m\n\u001b[0;32m    907\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39msklearn\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mutils\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39m_param_validation\u001b[39;00m \u001b[39mimport\u001b[39;00m validate_parameter_constraints  \u001b[39m# noqa\u001b[39;00m\n\u001b[1;32m--> 908\u001b[0m \u001b[39mfrom\u001b[39;00m \u001b[39msklearn\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39mutils\u001b[39;00m\u001b[39m.\u001b[39;00m\u001b[39m_param_validation\u001b[39;00m \u001b[39mimport\u001b[39;00m (\n\u001b[0;32m    909\u001b[0m     HasMethods,\n\u001b[0;32m    910\u001b[0m     Hidden,\n\u001b[0;32m    911\u001b[0m     Interval,\n\u001b[0;32m    912\u001b[0m     Options,\n\u001b[0;32m    913\u001b[0m     StrOptions,\n\u001b[0;32m    914\u001b[0m     _ArrayLikes,\n\u001b[0;32m    915\u001b[0m     _Booleans,\n\u001b[0;32m    916\u001b[0m     _Callables,\n\u001b[0;32m    917\u001b[0m     _CVObjects,\n\u001b[0;32m    918\u001b[0m     _InstancesOf,\n\u001b[0;32m    919\u001b[0m     _IterablesNotString,\n\u001b[0;32m    920\u001b[0m     _MissingValues,\n\u001b[0;32m    921\u001b[0m     _NoneConstraint,\n\u001b[0;32m    922\u001b[0m     _PandasNAConstraint,\n\u001b[0;32m    923\u001b[0m     _RandomStates,\n\u001b[0;32m    924\u001b[0m     _SparseMatrices,\n\u001b[0;32m    925\u001b[0m     _VerboseHelper,\n\u001b[0;32m    926\u001b[0m     make_constraint,\n\u001b[0;32m    927\u001b[0m     validate_params,\n\u001b[0;32m    928\u001b[0m )\n\n\u001b[1;31mImportError\u001b[0m: cannot import name '_MissingValues' from 'sklearn.utils._param_validation' (c:\\Users\\wen\\OneDrive\\Desktop\\Colab_Notebooks\\.venv\\Lib\\site-packages\\sklearn\\utils\\_param_validation.py)"
} 

模块版本如下：

scikit-learn 1.3.0

imblearn 0.0

imbalanced-learn 0.10.1

我遇到了同样的问题，降级到 scikit-learn 1.2.2 为我解决了这个问题

我将 scikit-learn 更新到 1.3.0，它开始引发此错误。我认为最新版本存在错误，或者名称可能已更改。尝试将scikit-learn的版本降级到1.2.X，即可解决问题。

我可以重现上述问题。尽管如此，在我重新启动我的内核（在 Pycharm Jupiter 中）后，我发现问题已解决