metric-learn: Metric Learning Algorithms in Python
This is an incremental contribution, offering a software tool for researchers and practitioners in machine learning to apply metric learning methods more easily.
The paper introduces metric-learn, an open-source Python package that implements supervised and weakly-supervised distance metric learning algorithms, providing a unified interface compatible with scikit-learn for tasks like cross-validation and model selection.
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.