Collecting pysurvival
Using cached pysurvival-0.1.2.tar.gz (4.7 MB)
Preparing metadata (setup.py): started
Preparing metadata (setup.py): finished with status 'done'
Requirement already satisfied: matplotlib in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (3.8.0)
Requirement already satisfied: numpy in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (1.26.4)
Requirement already satisfied: pandas in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (2.1.4)
Requirement already satisfied: pip in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (23.3.1)
Collecting progressbar (from pysurvival)
Using cached progressbar-2.5.tar.gz (10 kB)
Preparing metadata (setup.py): started
Preparing metadata (setup.py): finished with status 'done'
Requirement already satisfied: pyarrow in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (14.0.2)
Requirement already satisfied: scikit-learn in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (1.2.2)
Requirement already satisfied: scipy in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (1.11.4)
Collecting sklearn (from pysurvival)
Using cached sklearn-0.0.post12.tar.gz (2.6 kB)
Preparing metadata (setup.py): started
Preparing metadata (setup.py): finished with status 'error'
Note: you may need to restart the kernel to use updated packages.
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
imessien
commented
2 months ago
Collecting pysurvival Using cached pysurvival-0.1.2.tar.gz (4.7 MB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Requirement already satisfied: matplotlib in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (3.8.0) Requirement already satisfied: numpy in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (1.26.4) Requirement already satisfied: pandas in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (2.1.4) Requirement already satisfied: pip in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (23.3.1) Collecting progressbar (from pysurvival) Using cached progressbar-2.5.tar.gz (10 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'done' Requirement already satisfied: pyarrow in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (14.0.2) Requirement already satisfied: scikit-learn in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (1.2.2) Requirement already satisfied: scipy in c:\users\vishw\anaconda3\lib\site-packages (from pysurvival) (1.11.4) Collecting sklearn (from pysurvival) Using cached sklearn-0.0.post12.tar.gz (2.6 kB) Preparing metadata (setup.py): started Preparing metadata (setup.py): finished with status 'error' Note: you may need to restart the kernel to use updated packages. 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:
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.