Section: New Software and Platforms
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.