GAMA: a General Automated Machine learning Assistant

Pieter Gijsbers, Joaquin Vanschoren
7/9/2020
cs.LGstat.ML

Official code: PGijsbers/gama (6 stars, Apache-2.0, last commit 2023-03-26).

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.

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Code Implementations(1)

PGijsbers/gamaOfficial100%
Apache-2.0

An automated machine learning tool aimed to facilitate AutoML research.

64TeX, PythonAug 3, 20223 years agoApache-2.0

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Cite this paper

@article{gijsbers2020gama,
  title  = {GAMA: a General Automated Machine learning Assistant},
  author = {Pieter Gijsbers and Joaquin Vanschoren},
  year   = {2020},
  eprint = {2007.04911},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/2007.04911}
}

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