pip install timbral_models

[Shamit0906]

Collecting timbral_models
Using cached timbral_models-0.4.0.tar.gz (59 kB)
Preparing metadata (setup.py): started
Preparing metadata (setup.py): finished with status 'done'
Requirement already satisfied: numpy in c:\users\cse\anaconda3\envs\speech\lib\site-packages (from timbral_models) (1.26.4)
Requirement already satisfied: soundfile in c:\users\cse\anaconda3\envs\speech\lib\site-packages (from timbral_models) (0.12.1)
Requirement already satisfied: scipy in c:\users\cse\anaconda3\envs\speech\lib\site-packages (from timbral_models) (1.12.0)
Requirement already satisfied: librosa in c:\users\cse\anaconda3\envs\speech\lib\site-packages (from timbral_models) (0.10.1)
Collecting sklearn (from timbral_models)
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

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.

How to Resolve

[jjerphan]

Hi,

You need to report the issue to timbral_models which depends on sklearn instead of scikit-learn.