sklearn dependence out of date when pip install this project

[Kipkull]

Describe the bug(问题描述)
sklearn dependence out of date when pip install this project
To Reproduce(复现步骤)
Steps to reproduce the behavior:

1. Go to '...'
2. Click on '....'
3. Scroll down to '....'
4. See error

Operating environment(运行环境):
(base) LT2W9RKV03:Model_Factory bytedance$ pip install -U deepctr-torch
Collecting deepctr-torch
Using cached deepctr_torch-0.2.9-py3-none-any.whl.metadata (12 kB)
Requirement already satisfied: torch>=1.2.0 in ./base/lib/python3.13/site-packages (from deepctr-torch) (2.6.0)
Requirement already satisfied: tqdm in ./base/lib/python3.13/site-packages (from deepctr-torch) (4.67.1)
Requirement already satisfied: scikit-learn in ./base/lib/python3.13/site-packages (from deepctr-torch) (1.6.1)
INFO: pip is looking at multiple versions of deepctr-torch to determine which version is compatible with other requirements. This could take a while.
Using cached deepctr_torch-0.2.8-py3-none-any.whl.metadata (11 kB)
Using cached deepctr_torch-0.2.7-py3-none-any.whl.metadata (11 kB)
Collecting sklearn (from deepctr-torch)
Using cached sklearn-0.0.post12.tar.gz (2.6 kB)
Installing build dependencies ... done
Getting requirements to build wheel ... error
error: subprocess-exited-with-error

× Getting requirements to build wheel 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: subprocess-exited-with-error

× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> See above for output.

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

Additional context
Add any other context about the problem here.

[shenweichen]

Thanks for raising this. PR #310 updates compatibility and packaging for modern Python/PyTorch environments, including dependency cleanup that addresses this installation path.

PR: #310