Latest revision as of 07:21, 23 March 2021

Abstract

GAMA is an AutoML package for end-users and AutoML researchers. It uses genetic programming to efficiently generate optimized machine learning pipelines given specific input data and resource constraints. A machine learning pipeline contains data preprocessing as well as a machine learning algorithm, with fine-tuned hyperparameter settings.

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The different versions of the original document can be found in:

• http://dx.doi.org/10.21105/joss.01132 under the license http://creativecommons.org/licenses/by/4.0/

• https://doi.org/10.21105/joss.01132 under the license http://creativecommons.org/licenses/by/4.0

• https://research.tue.nl/nl/publications/gama(d1d8f995-689d-47fb-aab5-cead00d0250b).html under the license cc-by

• http://www.theoj.org/joss-papers/joss.01132/10.21105.joss.01132.pdf,

http://dx.doi.org/10.21105/joss.01132

• https://dblp.uni-trier.de/db/journals/corr/corr2007.html#abs-2007-04911,

https://joss.theoj.org/papers/10.21105/joss.01132,

https://www.theoj.org/joss-papers/joss.01132/10.21105.joss.01132.pdf,

http://joss.theoj.org/papers/74cfa7e5796270cd2a96005370973c71,

https://research.tue.nl/en/publications/gama-genetic-automated-machine-learning-assistant,

https://doi.org/10.21105/joss.01132,

https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2Fd1d8f995-689d-47fb-aab5-cead00d0250b,

https://academic.microsoft.com/#/detail/2912436245 under the license http://creativecommons.org/licenses/by/4.0/