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metric-learn: Metric Learning Algorithms in Python

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 2019Embargo end date: 01 Jan 2019 France Publisher:arXiv

Authors: de Vazelhes, William; Carey, Cj; Tang, Yuan; Vauquier, Nathalie; Bellet, Aurélien;

doi: 10.48550/arxiv.1908.04710

arXiv: http://arxiv.org/abs/1908.04710

metric-learn: Metric Learning Algorithms in Python

- Summary
- Subjects
- Related research
  (3)
- Metrics

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.

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

Country

France

Related Organizations

Centre de Recherche en Informatique
France
French Institute for Research in Computer Science and Automation
France
Google (United States)
United States
University of Lille
France
French National Centre for Scientific Research
France

Keywords

FOS: Computer and information sciences, Computer Science - Machine Learning, [INFO.INFO-SE] Computer Science [cs]/Software Engineering [cs.SE], metric learning, Machine Learning (stat.ML), [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Machine Learning (cs.LG), python, machine learning, Statistics - Machine Learning, scikit-learn

3 Research products, page 1 of 1

scikit-learn-contrib software on GitHub
IsRelatedTo
pytorch-metric-learning software on GitHub
IsRelatedTo
metric-learn software on GitHub
IsRelatedTo

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