Hyperparameter Optimization Using Dask with ORÍON | Xavier Bouthillier | Dask Summit 2021

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Oríon is a framework for asynchronous hyperparameter optimization (HPO) built around two main principles: 1) HPO should be effortless to execute in common machine learning workflows 2) New HPO algorithms should be readily available for practitioners. In this talk we will present Oríon and its core design principles, followed by an integration example with Dask demonstrating its simplicity of use.

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The Dask Distributed Summit is where users, contributors, and newcomers can share experiences to learn from one another and grow together. The Dask Distributed Summit provides content, information, and learning opportunities for attendees of all levels of Dask familiarity and expertise.

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