runtime error

-easycv, open-clip-torch, nerfacc, lpips, kornia, fastai, fairscale, face-alignment, easyrobust, ddpm-guided-diffusion, clip, accelerate Running setup.py install for sklearn: started Running setup.py install for sklearn: finished with status 'error' error: subprocess-exited-with-error × Running setup.py install for sklearn did not run successfully. │ exit code: 1 ╰─> [18 lines of output] The 'sklearn' PyPI package is deprecated, use 'scikit-learn' rather than 'sklearn' for pip commands. Here is how to fix this error in the main use cases: - use 'pip install scikit-learn' rather than 'pip install sklearn' - replace 'sklearn' by 'scikit-learn' in your pip requirements files (requirements.txt, setup.py, setup.cfg, Pipfile, etc ...) - if the 'sklearn' package is used by one of your dependencies, it would be great if you take some time to track which package uses 'sklearn' instead of 'scikit-learn' and report it to their issue tracker - as a last resort, set the environment variable SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error More information is available at https://github.com/scikit-learn/sklearn-pypi-package If the previous advice does not cover your use case, feel free to report it at https://github.com/scikit-learn/sklearn-pypi-package/issues/new [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. error: legacy-install-failure × Encountered error while trying to install package. ╰─> sklearn note: This is an issue with the package mentioned above, not pip. hint: See above for output from the failure. [notice] A new release of pip available: 22.3.1 -> 23.1 [notice] To update, run: python -m pip install --upgrade pip Traceback (most recent call last): File "app.py", line 5, in <module> from modelscope.outputs import OutputKeys ModuleNotFoundError: No module named 'modelscope'

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