Metadata-Version: 2.1
Name: easyrec
Version: 0.0.2b0
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
Description: ## 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,)
           ```
        
           
        
        
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
