文章大纲
- 简介 ：什么是 SystemDS ?
- 环境搭建与数据 准备
- 数据预处理
- 模型训练 与 结果评估
- 参考文献
简介 ：什么是 SystemDS ?
SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving.
SystemDS是用于端到端数据科学生命周期的通用系统，从数据集成，清理和功能工程到有效的本地和分布式ML模型培训，再到部署和服务，都可从其实现。
To this end, it provides a stack of declarative languages with R-like syntax for
(1) the different tasks of the data-science lifecycle, and (2) users with different expertise.
为此
