TY - GEN
T1 - GAMA: A General Automated Machine Learning Assistant
AU - Gijsbers, Pieter
AU - Vanschoren, Joaquin
N1 - Accepted for the ECML-PKDD 2020 Demo Track
PY - 2021/2
Y1 - 2021/2
N2 - 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.
AB - 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.
KW - AutoML
UR - http://www.scopus.com/inward/record.url?scp=85103304422&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-67670-4_39
DO - 10.1007/978-3-030-67670-4_39
M3 - Conference contribution
SN - 9783030676698
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 560
EP - 564
BT - Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings
A2 - Dong, Yuxiao
A2 - Ifrim, Georgiana
A2 - Saunders, Craig
A2 - van Hoecke, Sofie
A2 - Mladenic, Dunja
PB - Springer
ER -