GAMA: a General Automated Machine learning Assistant

TL;DR

GAMA is a modular AutoML system that enables user control, transparency, and benchmarking of AutoML algorithms, supporting customization and research in automated machine learning.

Contribution

It introduces a flexible, modular AutoML framework that allows users to customize components, visualize search processes, and facilitate AutoML research.

Findings

Supports multiple AutoML search algorithms

Provides visualization and logging of search process

Enables benchmarking of AutoML techniques

Abstract

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.