I am installing your tool but I get an error message. What is the best course of action for me?
pip install cpgtools
Collecting cpgtools
Using cached cpgtools-1.12.0-py3-none-any.whl (5.1 MB)
Requirement already satisfied: numpy in /Users/username/miniconda3/envs/gwaslab/lib/python3.8/site-packages (from cpgtools) (1.24.4)
Requirement already satisfied: scipy in /Users/username/miniconda3/envs/gwaslab/lib/python3.8/site-packages (from cpgtools) (1.10.1)
Collecting sklearn (from cpgtools)
Using cached sklearn-0.0.post9.tar.gz (3.6 kB)
Preparing metadata (setup.py) ... error
error: subprocess-exited-with-error
× python setup.py egg_info 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: 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.
I am installing your tool but I get an error message. What is the best course of action for me?