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metric-learn: Metric Learning Algorithms in Python

William de Vazelhes 1 Cj Carey 2 Yuan Tang 3 Nathalie Vauquier 1 Aurélien Bellet 1
1 MAGNET - Machine Learning in Information Networks
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189, Inria Lille - Nord Europe
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.
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Contributor : Aurélien Bellet Connect in order to contact the contributor
Submitted on : Friday, November 22, 2019 - 7:31:49 PM
Last modification on : Friday, January 21, 2022 - 3:11:53 AM


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  • HAL Id : hal-02376986, version 1
  • ARXIV : 1908.04710


William de Vazelhes, Cj Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet. metric-learn: Metric Learning Algorithms in Python. 2019. ⟨hal-02376986⟩



Les métriques sont temporairement indisponibles