GAMA: A General Automated Machine Learning Assistant

Pieter Gijsbers; Joaquin Vanschoren

doi:10.1007/978-3-030-67670-4_39

GAMA: A General Automated Machine Learning Assistant

Pieter Gijsbers (Corresponderende auteur)
, Joaquin Vanschoren

Data Mining

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

25 Citaten (Scopus)

31 Downloads (Pure)

Samenvatting

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.

Originele taal-2	Engels
Titel	Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track
Subtitel	European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V
Redacteuren	Yuxiao Dong, Georgiana Ifrim, Dunja Mladenić, Craig Saunders, Sofie Van Hoecke
Plaats van productie	Cham
Uitgeverij	Springer
Pagina's	560-564
Aantal pagina's	5
ISBN van elektronische versie	978-3-030-67670-4
ISBN van geprinte versie	978-3-030-67669-8
DOI's	https://doi.org/10.1007/978-3-030-67670-4_39
Status	Gepubliceerd - 25 feb. 2021
Evenement	2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020) - Virtual, Online, Ghent, België Duur: 14 sep. 2020 → 18 sep. 2020 https://ecmlpkdd2020.net/

Publicatie series

Naam	Lecture Notes in Computer Science (LNCS)
Volume	12461
ISSN van geprinte versie	0302-9743
ISSN van elektronische versie	1611-3349

Naam	Lecture Notes in Artificial Intelligence (LNAI)
Volume	12461
ISSN van geprinte versie	2945-9133
ISSN van elektronische versie	2945-9141

Congres

Congres	2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020)
Verkorte titel	ECML PKDD 2020
Land/Regio	België
Stad	Ghent
Periode	14/09/20 → 18/09/20
Internet adres	https://ecmlpkdd2020.net/

Bibliografische nota

Accepted for the ECML-PKDD 2020 Demo Track

Toegang tot document

10.1007/978-3-030-67670-4_39

pdfDefinitieve gepubliceerde versie, 598 KBLicentie: TAVERNE

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Gijsbers, P., & Vanschoren, J. (2021). GAMA: A General Automated Machine Learning Assistant. In Y. Dong, G. Ifrim, D. Mladenić, C. Saunders, & S. Van Hoecke (editors), Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V (blz. 560-564). (Lecture Notes in Computer Science (LNCS); Vol. 12461), (Lecture Notes in Artificial Intelligence (LNAI); Vol. 12461). Springer. https://doi.org/10.1007/978-3-030-67670-4_39

Gijsbers, Pieter ; Vanschoren, Joaquin. / GAMA: A General Automated Machine Learning Assistant. Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V. redacteur / Yuxiao Dong ; Georgiana Ifrim ; Dunja Mladenić ; Craig Saunders ; Sofie Van Hoecke. Cham : Springer, 2021. blz. 560-564 (Lecture Notes in Computer Science (LNCS)). (Lecture Notes in Artificial Intelligence (LNAI)).

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title = "GAMA: A General Automated Machine Learning Assistant",

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.",

keywords = "AutoML",

author = "Pieter Gijsbers and Joaquin Vanschoren",

note = "Accepted for the ECML-PKDD 2020 Demo Track; 2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020), ECML PKDD 2020 ; Conference date: 14-09-2020 Through 18-09-2020",

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Gijsbers, P & Vanschoren, J 2021, GAMA: A General Automated Machine Learning Assistant. in Y Dong, G Ifrim, D Mladenić, C Saunders & S Van Hoecke (reds.), Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V. Lecture Notes in Computer Science (LNCS), vol. 12461, Lecture Notes in Artificial Intelligence (LNAI), vol. 12461, Springer, Cham, blz. 560-564, 2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020), Ghent, België, 14/09/20. https://doi.org/10.1007/978-3-030-67670-4_39

GAMA: A General Automated Machine Learning Assistant. / Gijsbers, Pieter (Corresponderende auteur); Vanschoren, Joaquin.
Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V. reds. / Yuxiao Dong; Georgiana Ifrim; Dunja Mladenić; Craig Saunders; Sofie Van Hoecke. Cham: Springer, 2021. blz. 560-564 (Lecture Notes in Computer Science (LNCS); Vol. 12461), (Lecture Notes in Artificial Intelligence (LNAI); Vol. 12461).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Vanschoren, Joaquin

N1 - Accepted for the ECML-PKDD 2020 Demo Track

PY - 2021/2/25

Y1 - 2021/2/25

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

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CY - Cham

T2 - 2020 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2020)

Y2 - 14 September 2020 through 18 September 2020

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Gijsbers P , Vanschoren J. GAMA: A General Automated Machine Learning Assistant. In Dong Y, Ifrim G, Mladenić D, Saunders C, Van Hoecke S, redacteurs, Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part V. Cham: Springer. 2021. blz. 560-564. (Lecture Notes in Computer Science (LNCS)). (Lecture Notes in Artificial Intelligence (LNAI)). doi: 10.1007/978-3-030-67670-4_39

GAMA: A General Automated Machine Learning Assistant

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Publicatie series

Congres

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