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Factorization Machine Learning

Home Page: https://fmlearn.readthedocs.io

CMake 1.47% Python 12.90% C++ 84.04% C 0.48% Shell 0.45% Makefile 0.07% Batchfile 0.02% Starlark 0.56%
machine-learning python3 c-plus-plus factorization-machine

fmlearn's Introduction

Factorization Machine Learning in C++ With Python Wrapper

Build Status Documentation Status

结构与编码主要参考XGBoost与XLearn

开发此项目的目的

  1. 学习如何使用C++开发机器学习算法，包括如何定义数据结构，如何组织文件
  2. 学习使用Python进行封装C++库
  3. 学习使用多线程/SSE/Cuda加速训练
  4. 学习开发Cli Interface
  5. 学习遵守C++ Python开发规范
  6. 学习如何写单元测试
  7. 学习如何构建使用文档
  8. 为开发更为规范的开源项目做准备

参考资料

  1. 谷歌开发规范 Google Style
  2. 谷歌自动化测试 Google Test
  3. C++线程池简单实现
  4. Cmake Visual Studio 2017编译
  5. Linux 终端输出文本颜色

快速开始

使用文档

开发环境

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