MLJ: A Julia package for composable machine learning
MLJ: A Julia package for composable machine learning - Published in JOSS (2020)
Science Score: 87.0%
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Published in Journal of Open Source Software
Last synced: 7 months ago
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JOSS Publication
MLJ: A Julia package for composable machine learning
Published
November 07, 2020
Volume 5, Issue 55, Page 2704
Authors
Anthony D. Blaom
University of Auckland, New Zealand, New Zealand eScience Infrastructure, New Zealand, Alan Turing Institute, London, United Kingdom
University of Auckland, New Zealand, New Zealand eScience Infrastructure, New Zealand, Alan Turing Institute, London, United Kingdom
Franz Kiraly
Alan Turing Institute, London, United Kingdom, University College London, United Kingdom
Alan Turing Institute, London, United Kingdom, University College London, United Kingdom
Thibaut Lienart
Alan Turing Institute, London, United Kingdom
Alan Turing Institute, London, United Kingdom
Yiannis Simillides
Imperial College London, United Kingdom
Imperial College London, United Kingdom
Diego Arenas
University of St Andrews, St Andrews, United Kingdom
University of St Andrews, St Andrews, United Kingdom
Sebastian J. Vollmer
Alan Turing Institute, London, United Kingdom, University of Warwick, United Kingdom
Alan Turing Institute, London, United Kingdom, University of Warwick, United Kingdom
Editor
Yuan Tang