Published November 2, 2020 | Version 0.14.1
Software Open

MLJ: A Julia package for composable machine learning

Authors/Creators

  • 1. University of Auckland, New Zealand eScience Infrastructure, Alan Turing Institute
  • 2. Alan Turing Institute, University College London
  • 3. Alan Turing Institute
  • 4. Imperial College London
  • 5. University of St Andrews
  • 6. Alan Turing Institute, University of Warwick

Description

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.

Files

MLJ.jl-0.14.1.zip

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