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VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition [article]

Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui
2021 arXiv   pre-print
We present VolcanoML, a scalable and extensible framework that facilitates systematic exploration of large AutoML search spaces.  ...  Our evaluation demonstrates that, not only does VolcanoML raise the level of expressiveness for search space decomposition in AutoML, it also leads to actual findings of decomposition strategies that are  ...  Without a structured, highlevel abstraction for search space decomposition to explore different strategies, it is very hard to scale up an end-to-end AutoML system to accommodate the search space that  ... 
arXiv:2107.08861v1 fatcat:twfsk2u54rhejpc65fs6j35pwi