mlsanityData to 7 Oct 2026

MLJ: A Julia package for composable machine learning

arXiv 2007.12285 ↗First posted 23 Jul 2020cs.LG stat.MLcited by 9

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Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Jul 2020.

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Citing papers per year: 2021: 4; 2022: 2; 2023: 2; 2024: 0; 2025: 0; 2026: 1.

9 papers.