论文标题
GAMA：一般自动化机器学习助理
GAMA: a General Automated Machine learning Assistant
论文作者
论文摘要
一般自动化机器学习助理（GAMA）是一种模块化自动系统，旨在授权用户跟踪和控制汽车算法如何搜索最佳机器学习管道，并促进自动研究本身。与当前的（通常是黑框系统）相反，GAMA允许用户插入不同的汽车和后处理技术，日志并可视化搜索过程，并支持简单的基准测试。它目前具有三种自动搜索算法，这是两个模型后处理步骤，旨在允许添加更多组件。
The General Automated Machine learning Assistant (GAMA) is a modular AutoML system developed to empower users to track and control how AutoML algorithms search for optimal machine learning pipelines, and facilitate AutoML research itself. In contrast to current, often black-box systems, GAMA allows users to plug in different AutoML and post-processing techniques, logs and visualizes the search process, and supports easy benchmarking. It currently features three AutoML search algorithms, two model post-processing steps, and is designed to allow for more components to be added.
