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.
Cite
Text
Gijsbers and Vanschoren. "GAMA: A General Automated Machine Learning Assistant." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020. doi:10.1007/978-3-030-67670-4_39Markdown
[Gijsbers and Vanschoren. "GAMA: A General Automated Machine Learning Assistant." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020.](https://mlanthology.org/ecmlpkdd/2020/gijsbers2020ecmlpkdd-gama/) doi:10.1007/978-3-030-67670-4_39BibTeX
@inproceedings{gijsbers2020ecmlpkdd-gama,
title = {{GAMA: A General Automated Machine Learning Assistant}},
author = {Gijsbers, Pieter and Vanschoren, Joaquin},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2020},
pages = {560-564},
doi = {10.1007/978-3-030-67670-4_39},
url = {https://mlanthology.org/ecmlpkdd/2020/gijsbers2020ecmlpkdd-gama/}
}