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on windows The 'sklearn' PyPI package is deprecated, use 'scikit-learn' #34

@stephane-archer

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@stephane-archer

on windows The 'sklearn' PyPI package is deprecated, use 'scikit-learn'

pip install -r requirements.txt
Collecting pytest
  Using cached pytest-7.4.4-py3-none-any.whl (325 kB)
Collecting tensorflow==1.15.2
  Using cached tensorflow-1.15.2-cp37-cp37m-win_amd64.whl (55.3 MB)
Collecting librosa
  Using cached librosa-0.10.2.post1-py3-none-any.whl (260 kB)
Collecting matplotlib
  Using cached matplotlib-3.5.3-cp37-cp37m-win_amd64.whl (7.2 MB)
Collecting numpy==1.17.2
  Using cached numpy-1.17.2-cp37-cp37m-win_amd64.whl (12.8 MB)
Collecting scipy==1.3.1
  Using cached scipy-1.3.1-cp37-cp37m-win_amd64.whl (30.3 MB)
Collecting sklearn
  Using cached sklearn-0.0.post12.tar.gz (2.6 kB)
  Preparing metadata (setup.py) ... error
  error: subprocess-exited-with-error

  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [15 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
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

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