MIT News May 31, 2019
Automated machine-learning (AutoML) systems iteratively test and modify algorithms and hyperparameters and select the best-suited models. An international team of researchers (USA – MIT, Hong Kong, China) describes a tool called ATMSeer, that takes as input an AutoML system, a dataset, and some information about a user’s task. Then, it visualizes the search process in a user-friendly interface, which presents in-depth information on the models’ performance. They have demonstrated the utility and usability of ATMSeer through two case studies, expert interviews, and a user study with 13 end users. Video…read more. Open Access TECHNICAL ARTICLE
Researchers from MIT and elsewhere have developed an interactive tool that, for the first time, lets users see and control how increasingly popular automated machine-learning (AutoML) systems work. Credit: Chelsea Turner, MIT