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The PHOTON Wizard -- Towards Educational Machine Learning Code Generators

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arxiv 2002.05432 v1 pith:YV4BU6Y3 submitted 2020-02-13 cs.SE cs.LG

classification cs.SEcs.LG
keywords learningmachinecodephotoneducationalwizardapplicationapplied-science
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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.

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  1. Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs

    cs.SE 2025-04 conditional novelty 6.0 of 10

    DLCodeGen writes deep learning project code by first predicting a structured solution plan, retrieving similar code and a code template, then using a comparison prompt to merge the best parts.

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