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Journal Articles Journal of Machine Learning Research Year : 2020

metric-learn: Metric Learning Algorithms in Python

William de Vazelhes
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Cj Carey
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Yuan Tang
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Nathalie Vauquier
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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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hal-03100076 , version 1 (06-01-2021)


  • HAL Id : hal-03100076 , version 1


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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