GAMA: a General Automated Machine learning Assistant
This provides a more transparent and customizable tool for users and researchers in automated machine learning, though it is incremental as it builds on existing AutoML concepts.
The authors tackled the problem of black-box AutoML systems by developing GAMA, a modular AutoML assistant that enables users to track, control, and visualize the search for optimal machine learning pipelines, and it currently includes three search algorithms and two post-processing steps.
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.