funrec
代码依赖 "scikit-learn>=1.6.0", "torch>=2.5.0", "tqdm>=4.67.0"
安装
pip install funrec
使用
可参考 example下的实例
感恩的心
- DeepCTR 易用可扩展的深度学习点击率预测算法包
- DeepCTR tf版本的，兼容 tf 1.x 和 tf 2.x
- DeepCTR-Torch torch版本的，本项目中大量代码来源于此
- fun-rec 推荐系统的整体介绍，包含 推荐系统概述、推荐算法基础、推荐系统实战和推荐系统面经
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
funrec-0.0.7-py3-none-any.whl
(93.8 kB
view details)
File details
Details for the file funrec-0.0.7-py3-none-any.whl.
File metadata
- Download URL: funrec-0.0.7-py3-none-any.whl
- Upload date:
- Size: 93.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
uv/0.11.17 {"installer":{"name":"uv","version":"0.11.17","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad98b339ef0630c83db0d1fcf81a01bbcc06d2e5382fedcdbe2281aec71b7b7a
|
|
| MD5 |
1a3651564951a6b60242d19901c88b0e
|
|
| BLAKE2b-256 |
b054a1b5992117fc054878aa11dbcc4c895c79e1e5814b95abf6d28c8ec51d8e
|
