同步操作将从 PaddlePaddle/PaddleRec 强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!!
确定后同步将在后台操作,完成时将刷新页面,请耐心等待。
Recommendation system helps users quickly find useful and interesting information from massive data.
Recommendation system is also a silver bullet to attract users, retain users, increase users' stickness or conversionn.
Who can better use the recommendation system, who can gain more advantage in the fierce competition.
At the same time, there are many problems in the process of using the recommendation system, such as: huge data, complex model, inefficient distributed training, and so on.
Python 2.7/ 3.5 / 3.6 / 3.7 , Python 3.7 is recommended ,Python in example represents Python 3.7 by default
PaddlePaddle >=2.0
operating system: Windows/Mac/Linux
Linux is recommended for distributed training
python -m pip install paddlepaddle-gpu==2.0.0
python -m pip install paddlepaddle # gcc8
For download more versions, please refer to the installation tutorial Installation Manuals
git clone https://github.com/PaddlePaddle/PaddleRec/
cd PaddleRec
We take the dnn
algorithm as an example to get start of PaddleRec
, and we take 100 pieces of training data from Criteo Dataset:
python -u tools/trainer.py -m models/rank/dnn/config.yaml # Training with dygraph model
python -u tools/static_trainer.py -m models/rank/dnn/config.yaml # Training with static model
For any feedback, please propose a GitHub Issue
You can also communicate with us in the following ways:
861717190
wxid_0xksppzk5p7f22
REC
add group automatically
PaddleRec QQ Group PaddleRec Wechat account
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。