PHOTON向导--面向教育机器学习代码生成器
The PHOTON Wizard -- Towards Educational Machine Learning Code Generators
摘要：
尽管人们做出了巨大的努力来使机器学习民主化，特别是在应用科学领域，但由于缺乏编码技能，应用仍然经常受到阻碍。当我们考虑编程理解的关键，建立有效和高效的机器学习解决方案，我们主张一种新的教育方法，建立在图形用户界面的可访问性和接受，以传达编程技能的应用科学的目标群体。我们概述了一个概念验证的开源Web应用程序，光子向导，它动态地将GUI交互转换为Python机器学习框架光子的有效源代码。因此，拥有理论机器学习知识的用户可以获得对模型开发工作流程的关键见解，以及对自定义实现的直观理解。具体来说，PHOTON Wizard集成了教育机器学习代码生成器的概念，教用户如何编写代码，用于设计、训练、优化和评估自定义机器学习管道。
英文摘要：
Despite the tremendous efforts to democratize machine learning, especially in applied-science, the application is still often hampered by the lack of coding skills. As we consider programmatic understanding key to building effective and efficient machine learning solutions, we argue for a novel educational approach that builds upon the accessibility and acceptance of graphical user interfaces to convey programming skills to an applied-science target group. We outline a proof-of-concept, open-source web application, the PHOTON Wizard, which dynamically translates GUI interactions into valid source code for the Python machine learning framework PHOTON. Thereby, users possessing theoretical machine learning knowledge gain key insights into the model development workflow as well as an intuitive understanding of custom implementations. Specifically, the PHOTON Wizard integrates the concept of Educational Machine Learning Code Generators to teach users how to write code for designing, training, optimizing and evaluating custom machine learning pipelines.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
