Title :

metric-learn: Metric Learning Algorithms in Python

Author(s) :

De Vazelhes, William [Auteur]
Carey, Cj [Auteur]
Google LLC
Tang, Yuan [Auteur]
Ant Group
Vauquier, Nathalie [Auteur]
Machine Learning in Information Networks [MAGNET]
Bellet, Aurelien [Auteur]
Machine Learning in Information Networks [MAGNET]

Journal title :

Journal of Machine Learning Research

Pages :

1-6

Publisher :

Microtome Publishing

Publication date :

2020

ISSN :

1532-4435

English keyword(s) :

machine learning
python
metric learning
scikit-learn

HAL domain(s) :

Informatique [cs]/Apprentissage [cs.LG]
Statistiques [stat]/Machine Learning [stat.ML]
Informatique [cs]/Génie logiciel [cs.SE]

English abstract : [en]

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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL