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Journal Articles Journal of Machine Learning Research Year : 2020

metric-learn: Metric Learning Algorithms in Python

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William de Vazelhes
  • Function : Author
  • PersonId : 1087685
Cj Carey
  • Function : Author
Yuan Tang
  • Function : Author
Nathalie Vauquier
  • Function : Author
  • PersonId : 1087686

Abstract

metric-learn is an open source Python package implementing supervised and weaklysupervised 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 license.
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Dates and versions

hal-03100076 , version 1 (06-01-2021)

Identifiers

  • HAL Id : hal-03100076 , version 1

Cite

William de Vazelhes, Cj Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet. metric-learn: Metric Learning Algorithms in Python. Journal of Machine Learning Research, 2020, 21, pp.1-6. ⟨hal-03100076⟩
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