Metric-Learn: Metric Learning Algorithms in Python
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.
Cite
Text
de Vazelhes et al. "Metric-Learn: Metric Learning Algorithms in Python." Machine Learning Open Source Software, 2020.Markdown
[de Vazelhes et al. "Metric-Learn: Metric Learning Algorithms in Python." Machine Learning Open Source Software, 2020.](https://mlanthology.org/mloss/2020/devazelhes2020jmlr-metriclearn/)BibTeX
@article{devazelhes2020jmlr-metriclearn,
title = {{Metric-Learn: Metric Learning Algorithms in Python}},
author = {de Vazelhes, William and Carey, Cj and Tang, Yuan and Vauquier, Nathalie and Bellet, Aurélien},
journal = {Machine Learning Open Source Software},
year = {2020},
pages = {1-6},
volume = {21},
url = {https://mlanthology.org/mloss/2020/devazelhes2020jmlr-metriclearn/}
}