Section: New Software and Platforms

metric-learn

Keywords: Machine learning - Python - Metric learning

Functional Description: Distance metrics are widely used in the machine learning literature. Traditionally, practicioners would choose a standard distance metric (Euclidean, City-Block, Cosine, etc.) using a priori knowledge of the domain. Distance metric learning (or simply, metric learning) is the sub-field of machine learning dedicated to automatically constructing optimal distance metrics.

This package contains efficient Python implementations of several popular metric learning algorithms.

• Partner: Parietal

• Contact: Aurélien Bellet

• URL: https://github.com/scikit-learn-contrib/metric-learn