GAMA: A General Automated Machine Learning Assistant

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

20 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationMachine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track - European Conference, ECML PKDD 2020, Proceedings
EditorsYuxiao Dong, Georgiana Ifrim, Craig Saunders, Sofie van Hoecke, Dunja Mladenic
PublisherSpringer
Pages560-564
Number of pages5
ISBN (Electronic)978-3-030-67670-4
ISBN (Print)9783030676698
DOIs
Publication statusPublished - Feb 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12461 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Bibliographical note

Accepted for the ECML-PKDD 2020 Demo Track

Keywords

  • AutoML

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