Title :

metric-learn: Metric Learning Algorithms in Python

Author(s) :

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

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 weakly-supervised 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 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.Show less >

Language :

Anglais

Comment :

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

Collections :

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

Source :

Harvested from HAL