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metric-learn: Metric Learning Algorithms in Python

Machine Learning 2020-07-28 v3 Machine Learning

Abstract

metric-learn is an open source Python package implementing supervised and weakly-supervised distance metric learning algorithms. As part of scikit-learn-contrib, it provides a unified interface compatible with scikit-learn which allows to easily perform cross-validation, model selection, and pipelining with other machine learning estimators. metric-learn is thoroughly tested and available on PyPi under the MIT licence.

Keywords

Cite

@article{arxiv.1908.04710,
  title  = {metric-learn: Metric Learning Algorithms in Python},
  author = {William de Vazelhes and CJ Carey and Yuan Tang and Nathalie Vauquier and Aurélien Bellet},
  journal= {arXiv preprint arXiv:1908.04710},
  year   = {2020}
}

Comments

GitHub repository: https://github.com/scikit-learn-contrib/metric-learn