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JMLR 2020

metric-learn: Metric Learning Algorithms in Python

Journal Article Articles Artificial Intelligence · 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 license. [abs] [ pdf ][ bib ] [ code ] &copy JMLR 2020. ( edit, beta )

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Context

Venue
Journal of Machine Learning Research
Archive span
2000-2026
Indexed papers
4180
Paper id
452296728105884232