Error at installation (sklearn)

[datajandro]

Hello, people.
I'm using Ubuntu Studio 22.04
Description: Ubuntu 22.04.3 LTS Release: 22.04 Codename: jammy

During the installation, at the "requirements.txt" part, I've got this error:

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.

I don't know python. I'll leave all the terminal output down here:

pip3 install -r requirements.txt 
Defaulting to user installation because normal site-packages is not writeable
Ignoring PySoundFile: markers 'sys_platform == "darwin"' don't match your environment
Collecting altgraph==0.17.3
  Using cached altgraph-0.17.3-py2.py3-none-any.whl (21 kB)
Collecting audioread==3.0.0
  Using cached audioread-3.0.0.tar.gz (377 kB)
  Preparing metadata (setup.py) ... done
Collecting certifi==2022.12.07
  Using cached certifi-2022.12.7-py3-none-any.whl (155 kB)
Collecting cffi==1.15.1
  Using cached cffi-1.15.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (441 kB)
Collecting cryptography==3.4.6
  Using cached cryptography-3.4.6-cp36-abi3-manylinux2014_x86_64.whl (3.2 MB)
Collecting einops==0.6.0
  Using cached einops-0.6.0-py3-none-any.whl (41 kB)
Collecting future==0.18.3
  Using cached future-0.18.3.tar.gz (840 kB)
  Preparing metadata (setup.py) ... done
Collecting julius==0.2.7
  Using cached julius-0.2.7.tar.gz (59 kB)
  Preparing metadata (setup.py) ... done
Collecting kthread==0.2.3
  Using cached kthread-0.2.3-py3-none-any.whl (3.9 kB)
Collecting librosa==0.9.2
  Using cached librosa-0.9.2-py3-none-any.whl (214 kB)
Collecting llvmlite
  Using cached llvmlite-0.41.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (43.6 MB)
Collecting matchering==2.0.6
  Using cached matchering-2.0.6-py3-none-any.whl (41 kB)
Collecting ml_collections==0.1.1
  Using cached ml_collections-0.1.1.tar.gz (77 kB)
  Preparing metadata (setup.py) ... done
Collecting natsort==8.2.0
  Using cached natsort-8.2.0-py3-none-any.whl (37 kB)
Collecting omegaconf==2.2.3
  Using cached omegaconf-2.2.3-py3-none-any.whl (79 kB)
Collecting opencv-python==4.6.0.66
  Using cached opencv_python-4.6.0.66-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (60.9 MB)
Collecting Pillow==9.3.0
  Using cached Pillow-9.3.0-cp310-cp310-manylinux_2_28_x86_64.whl (3.3 MB)
Collecting psutil==5.9.4
  Using cached psutil-5.9.4-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (280 kB)
Collecting pydub==0.25.1
  Using cached pydub-0.25.1-py2.py3-none-any.whl (32 kB)
Collecting pyglet==1.5.23
  Using cached pyglet-1.5.23-py3-none-any.whl (1.1 MB)
Collecting pyperclip==1.8.2
  Using cached pyperclip-1.8.2.tar.gz (20 kB)
  Preparing metadata (setup.py) ... done
Collecting pyrubberband==0.3.0
  Using cached pyrubberband-0.3.0.tar.gz (4.1 kB)
  Preparing metadata (setup.py) ... done
Collecting pytorch_lightning==2.0.0
  Using cached pytorch_lightning-2.0.0-py3-none-any.whl (715 kB)
Collecting PyYAML==6.0
  Using cached PyYAML-6.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (682 kB)
Collecting resampy==0.4.2
  Using cached resampy-0.4.2-py3-none-any.whl (3.1 MB)
Collecting scipy==1.9.3
  Using cached scipy-1.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (33.7 MB)
Collecting soundstretch==1.2
  Using cached soundstretch-1.2.tar.gz (2.3 kB)
  Preparing metadata (setup.py) ... done
Collecting torch
  Using cached torch-2.1.1-cp310-cp310-manylinux1_x86_64.whl (670.2 MB)
Collecting urllib3==1.26.12
  Using cached urllib3-1.26.12-py2.py3-none-any.whl (140 kB)
Collecting wget==3.2
  Using cached wget-3.2.zip (10 kB)
  Preparing metadata (setup.py) ... done
Collecting samplerate==0.1.0
  Using cached samplerate-0.1.0-py2.py3-none-any.whl (4.0 MB)
Collecting screeninfo==0.8.1
  Using cached screeninfo-0.8.1-py3-none-any.whl (12 kB)
Collecting diffq
  Using cached diffq-0.2.4-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (418 kB)
Collecting playsound
  Using cached playsound-1.3.0.tar.gz (7.7 kB)
  Preparing metadata (setup.py) ... done
Collecting onnx
  Using cached onnx-1.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.7 MB)
Collecting onnxruntime
  Using cached onnxruntime-1.16.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.4 MB)
Collecting onnxruntime-gpu
  Using cached onnxruntime_gpu-1.16.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (157.1 MB)
Collecting onnx2pytorch
  Using cached onnx2pytorch-0.4.1-py3-none-any.whl (44 kB)
Collecting SoundFile==0.11.0
  Using cached soundfile-0.11.0-py2.py3-none-any.whl (23 kB)
Collecting Dora==0.0.3
  Using cached Dora-0.0.3.tar.gz (4.9 kB)
  Preparing metadata (setup.py) ... done
Collecting numpy==1.23.5
  Using cached numpy-1.23.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.1 MB)
Requirement already satisfied: pycparser in /usr/lib/python3/dist-packages (from cffi==1.15.1->-r requirements.txt (line 4)) (2.21)
Requirement already satisfied: packaging>=20.0 in /usr/lib/python3/dist-packages (from librosa==0.9.2->-r requirements.txt (line 10)) (21.3)
Collecting numba>=0.45.1
  Using cached numba-0.58.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.6 MB)
Requirement already satisfied: scikit-learn>=0.19.1 in /home/daniel/.local/lib/python3.10/site-packages (from librosa==0.9.2->-r requirements.txt (line 10)) (1.3.2)
Requirement already satisfied: joblib>=0.14 in /home/daniel/.local/lib/python3.10/site-packages (from librosa==0.9.2->-r requirements.txt (line 10)) (1.3.2)
Collecting pooch>=1.0
  Using cached pooch-1.8.0-py3-none-any.whl (62 kB)
Collecting decorator>=4.0.10
  Using cached decorator-5.1.1-py3-none-any.whl (9.1 kB)
Collecting statsmodels>=0.13.2
  Using cached statsmodels-0.14.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (10.1 MB)
Collecting absl-py
  Using cached absl_py-2.0.0-py3-none-any.whl (130 kB)
Collecting contextlib2
  Using cached contextlib2-21.6.0-py2.py3-none-any.whl (13 kB)
Requirement already satisfied: six in /usr/lib/python3/dist-packages (from ml_collections==0.1.1->-r requirements.txt (line 13)) (1.16.0)
Collecting antlr4-python3-runtime==4.9.*
  Using cached antlr4-python3-runtime-4.9.3.tar.gz (117 kB)
  Preparing metadata (setup.py) ... done
Collecting pysoundfile>=0.8.0
  Using cached PySoundFile-0.9.0.post1-py2.py3-none-any.whl (24 kB)
Collecting typing-extensions>=4.0.0
  Using cached typing_extensions-4.8.0-py3-none-any.whl (31 kB)
Collecting fsspec[http]>2021.06.0
  Using cached fsspec-2023.12.1-py3-none-any.whl (168 kB)
Collecting torchmetrics>=0.7.0
  Using cached torchmetrics-1.2.1-py3-none-any.whl (806 kB)
Collecting lightning-utilities>=0.7.0
  Using cached lightning_utilities-0.10.0-py3-none-any.whl (24 kB)
Collecting tqdm>=4.57.0
  Using cached tqdm-4.66.1-py3-none-any.whl (78 kB)
Collecting matplotlib>=1.5.1
  Using cached matplotlib-3.8.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.6 MB)
Collecting pandas>=0.17.1
  Using cached pandas-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 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.

[Pedulla]

Edit "requirements.txt" and remove the line that says "Dora==0.0.3".
The run the install again.

Solution found here: https://github.com/Anjok07/ultimatevocalremovergui/issues/919#issuecomment-1844123180

[artinion]

The solution worked, thank you all. Keep up the good work. It would be nice to fix the dependency on Dora. I have a concern that I might be missing out on a certain feature that I might find useful later on.