# Citing MLJ

An overview of MLJ design:


[![DOI](https://joss.theoj.org/papers/10.21105/joss.02704/status.svg)](https://doi.org/10.21105/joss.02704)

```bibtex
@article{Blaom2020,
  doi = {10.21105/joss.02704},
  url = {https://doi.org/10.21105/joss.02704},
  year = {2020},
  publisher = {The Open Journal},
  volume = {5},
  number = {55},
  pages = {2704},
  author = {Anthony D. Blaom and Franz Kiraly and Thibaut Lienart and Yiannis Simillides and Diego Arenas and Sebastian J. Vollmer},
  title = {{MLJ}: A Julia package for composable machine learning},
  journal = {Journal of Open Source Software}
}
```

An in-depth view of MLJ's model composition design:

[![arXiv](https://img.shields.io/badge/arXiv-2012.15505-<COLOR>.svg)](https://arxiv.org/abs/2012.15505)

```bibtex
@misc{blaom2020flexible,
      title={Flexible model composition in machine learning and its implementation in {MLJ}}, 
      author={Anthony D. Blaom and Sebastian J. Vollmer},
      year={2020},
      eprint={2012.15505},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}
```