GPflow: A Gaussian Process Library using TensorFlow
نویسندگان
چکیده
GPflow is a Gaussian process library that uses TensorFlow for its core computations and Python for its front end. The distinguishing features of GPflow are that it uses variational inference as the primary approximation method, provides concise code through the use of automatic differentiation, has been engineered with a particular emphasis on software testing and is able to exploit GPU hardware. 1. GPflow and TensorFlow are available as open source software under the Apache 2.0 license. c ©2017 Alexander G. de G. Matthews, Mark van der Wilk, Tom Nickson, Keisuke Fujii, Alexis Boukouvalas, Pablo León-Villagrá, Zoubin Ghahramani, and James Hensman. License: CC-BY 4.0, see https://creativecommons.org/licenses/by/4.0/. Attribution requirements are provided at http://jmlr.org/papers/v18/16-537.html.
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ورودعنوان ژورنال:
- Journal of Machine Learning Research
دوره 18 شماره
صفحات -
تاریخ انتشار 2017