Metadata-Version: 2.1
Name: easyrec
Version: 0.1.0b0
Summary: deep learning frame for recommendation algorithm
Home-page: https://github.com/yinpu/easyrec
Author: yinpu
Author-email: 741456392@163.com
License: MIT
Download-URL: https://github.com/yinpu/easyrec/tags
Keywords: deep learning,torch,tensor,pytorch
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.5.*
Description-Content-Type: text/markdown
Requires-Dist: torch (>=1.1.0)
Requires-Dist: tqdm
Requires-Dist: sklearn
Requires-Dist: tensorflow

## easyrec:一个简单易用的pytorch推荐框架

### 目的：

该框架目的是方便研究人员快速搭建自己的推荐算法。

该框架参考于[DeepCTR](https://github.com/shenweichen/DeepCTR)、[ DeepCTR-Torch](https://github.com/shenweichen/DeepCTR-Torch)、[fun-rec](https://github.com/datawhalechina/fun-rec)、[Recommender-System-with-TF2.0](https://github.com/ZiyaoGeng/Recommender-System-with-TF2.0)

框架在输入层使用了更灵活的接口方便研究人员的使用。



### 框架流程

1.导入数据集

2.定义输入以及输出

3.建立模型

4.评测



模型搭建方法：

1. 继承Base类

2. `__init__`的编写

   ```Python
   def model(Base):
       def __init__(self,)
   ```





