PyRelationAL: A Library for Active Learning Research and Development

@article{Scherer2022PyRelationALAL,
  title={PyRelationAL: A Library for Active Learning Research and Development},
  author={Paul Scherer and Thomas Gaudelet and Alison Pouplin and S SurajM and Jyothish Soman and Lindsay Edwards and Jake P. Taylor-King},
  journal={ArXiv},
  year={2022},
  volume={abs/2205.11117}
}
In constrained real-world scenarios where it is challenging or costly to generate data, disciplined methods for acquiring informative new data points are of fun-damental importance for the efficient training of machine learning (ML) models. Active learning (AL) is a subfield of ML focused on the development of methods to iteratively and economically acquire data through strategically querying new data points that are the most useful for a particular task. Here, we introduce PyRelationAL, an open… 

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