AI RESEARCH
iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML
arXiv CS.LG
•
ArXi:2602.13937v2 Announce Type: replace Automated Machine Learning (AutoML) has improved access to machine learning, yet existing techniques often remain limited in flexibility, transparency, and execution reliability. Code-driven AutoML offers a promising direction by synthesizing executable code for preprocessing, model