June 9, 2022, 1:10 a.m. | René Sass, Eddie Bergman, André Biedenkapp, Frank Hutter, Marius Lindauer

cs.LG updates on arXiv.org arxiv.org

Automated Machine Learning (AutoML) is used more than ever before to support
users in determining efficient hyperparameters, neural architectures, or even
full machine learning pipelines. However, users tend to mistrust the
optimization process and its results due to a lack of transparency, making
manual tuning still widespread. We introduce DeepCAVE, an interactive framework
to analyze and monitor state-of-the-art optimization procedures for AutoML
easily and ad hoc. By aiming for full and accessible transparency, DeepCAVE
builds a bridge between users and …

analysis arxiv automated machine learning interactive learning lg machine machine learning tool

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