Emergent Mind
MLJ: A Julia package for composable machine learning
(2007.12285)
Published Jul 23, 2020
in
cs.LG
and
stat.ML
Abstract
MLJ (Machine Learing in Julia) is an open source software package providing a common interface for interacting with machine learning models written in Julia and other languages. It provides tools and meta-algorithms for selecting, tuning, evaluating, composing and comparing those models, with a focus on flexible model composition. In this design overview we detail chief novelties of the framework, together with the clear benefits of Julia over the dominant multi-language alternatives.
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