AlphaD3M: Machine Learning Pipeline Synthesis

We introduce AlphaD3M, an automatic machine learning (AutoML) system based on meta reinforcement learning using sequence models with self play. AlphaD3M is based on edit operations performed over machine learning pipeline primitives providing explainability. We compare AlphaD3M with state-of-the-art...

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Published in:arXiv.org 2021-11
Main Authors: Drori, Iddo, Krishnamurthy, Yamuna, Rampin, Remi, Raoni de Paula Lourenco, Ono, Jorge Piazentin, Cho, Kyunghyun, Silva, Claudio, Freire, Juliana
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Machine learning
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creator Drori, Iddo
Krishnamurthy, Yamuna
Rampin, Remi
Raoni de Paula Lourenco
Ono, Jorge Piazentin
Cho, Kyunghyun
Silva, Claudio
Freire, Juliana
description We introduce AlphaD3M, an automatic machine learning (AutoML) system based on meta reinforcement learning using sequence models with self play. AlphaD3M is based on edit operations performed over machine learning pipeline primitives providing explainability. We compare AlphaD3M with state-of-the-art AutoML systems: Autosklearn, Autostacker, and TPOT, on OpenML datasets. AlphaD3M achieves competitive performance while being an order of magnitude faster, reducing computation time from hours to minutes, and is explainable by design.
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title AlphaD3M: Machine Learning Pipeline Synthesis
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