I am trying to import imblearn into my python notebook after installing the required modules. However, I am getting the following error:

在安装了所需的模块后，我正在尝试将imblearn导入到我的Python笔记本中。但是，我收到以下错误：

Additional info: I am using a virtual environment in Visual Studio Code.

附加信息：我使用的是一个用Visual Studio代码编写的虚拟环境。

I've made sure that venv was selected as interpreter and as the notebook kernel. I've reloaded the window and restarted the kernel several times. I have also uninstalled and installed imbalanced-learn and scikit-learn several times, with and without "--upgrade". I'm still getting the same error.

我已经确定venv被选为解释器和笔记本内核。我已经重新加载了窗口，并多次重新启动了内核。我还卸载和安装了几次不平衡-学习和SCRICKIT-学习，有和没有“--升级”。我仍然收到相同的错误。

Edit: Full traceback of error

编辑：全面回溯错误

{
    "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)"
} 

The versions of the modules are as follows:

这些模块的版本如下：

scikit-learn 1.3.0

SCRICK套件-学习1.3.0

imblearn 0.0

IMBLINE 0.0

imbalanced-learn 0.10.1

不平衡-学习0.10.1

I was having the same issue, downgrading to scikit-learn 1.2.2 fixed it for me

我遇到了同样的问题，降级到scikit-learn 1.2.2为我修复了它

I updated my scikit-learn to 1.3.0 and it started raising this error. I think there is a bug with the latest version or the name might have been changed. Try downgrading the version of scikit-learn to 1.2.X, It will solve the problem.

我将我的SCRICKIT-LEARN更新到了1.3.0，它开始提示这个错误。我认为最新版本有错误，或者名称可能被更改了。试着把SCRICKIT-LEARN的版本降级到1.2.X，问题就解决了。

I can reproduce the above issue. Nonetheless, after I restart My Kernal(In Pycharm Jupiter), I find the issue is resolved

我可以转载上面的问题。尽管如此，在我重新启动我的内核(在PyCharm Jupiter中)之后，我发现问题已经解决了

I did this and fixed it

我做了这个并把它修好了

pip uninstall scikit-learn

then i used

然后我用

pip install scikit-learn==1.2.2

"git clone https://github.com/scikit-learn-contrib/imbalanced-learn.git
cd imbalanced-learn"
Use this command to clone this directory from Github then go to imblearn directory on your local machine and replace it with the one you find in the package you have just downloaded

“Git CLONE https://github.com/scikit-learn-contrib/imbalanced-learn.git CD不平衡-学习”使用此命令从Github克隆此目录，然后转到本地计算机上的imblearn目录，并将其替换为您在刚下载的包中找到的目录

the problem is that in sklearn the name is MissingValues meanwhile in imblearn param_validation was _MissingValues which fixed in the new package of imblearn .

问题是，在sklearn中，名称是MissingValues，而在imblain中，param_valify是_MissingValues，它修正了新的imblain包。

All you have to do is Upgrade imblearn to recent version

你所要做的就是升级到最新的版本

I am also facing same error while importing below :

在导入以下内容时，我也遇到了相同的错误：

from imblearn.combine import SMOTETomek
from imblearn.under_sampling import NearMiss

I just downgrade the version of scikit-learn

我刚刚降级了SCRICKIT的版本-学习

Steps to resolve above issue :

解决上述问题的步骤：

1. pip uninstall scikit-learn


2. pip install scikit-learn==1.2.2

If does not work then restart kernel.

如果不工作，则重新启动内核。