Windows环境下Jupyter中skmultilearn模块导入失败求助

Let’s tackle your issues one by one, starting with the core module not found error since that’s blocking your code execution:

1. Resolve the skmultilearn module issue #

The root problem here is almost certainly a mismatch between the Python environment you used to install skmultilearn and the one your Jupyter notebook is running. Here’s how to fix it:

Step 1: Find Jupyter’s active Python path #

Open your Jupyter notebook and run this code in a cell:

import sys
print(sys.executable)

This will output the full path to the Python executable your Jupyter kernel is using (e.g., C:\Users\YourName\anaconda3\python.exe or C:\Users\YourName\AppData\Local\Programs\Python\Python311\python.exe).

Step 2: Install skmultilearn to Jupyter’s environment #

Open Command Prompt (CMD) on Windows, then run this command—replace <jupyter-python-path> with the path you copied from Step 1:

"<jupyter-python-path>" -m pip install scikit-multilearn

(Note: The official PyPI package name is scikit-multilearn, even though you import it as skmultilearn in your code.)

Step 3: For virtual environment users (optional but recommended) #

If you’re using a virtual environment, make sure Jupyter recognizes it:

• Activate your virtual environment in CMD (e.g., venv\Scripts\activate for a standard venv)
• Install the ipykernel package to link the environment to Jupyter:

  pip install ipykernel
  

• Register the environment as a Jupyter kernel:

  python -m ipykernel install --user --name=your-env-name --display-name="Python (your-env-name)"
  

• Restart Jupyter, then switch to this new kernel via the Kernel > Change kernel menu before running your code.

2. Troubleshoot the stuck git clone #

For the git clone issue in your Jupyter directory:

• First confirm Jupyter’s working directory by running this in a notebook cell:

  import os
  print(os.getcwd())
  

• Open CMD, navigate to that directory with cd "<jupyter-working-directory>", then run your git clone <repository-url> command directly here.
• If it still fails, check:
  • Your internet connection (can you access the git repository in a browser?)
  • Directory permissions (try running CMD as Administrator if you get access denied errors)
  • Git is properly installed (run git --version in CMD to verify)

Your original error for reference: #

in ()
5 return_indicator = 'sparse', allow_unlabeled = False)
6 ----> 7 from skmultilearn.adapt import MLkNN
8
9 classifier = MLkNN(k=20)
ModuleNotFoundError: No module named 'skmultilearn'

内容的提问来源于stack exchange，提问作者capncook