  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.
