metric-learn: metric learning algorithms in Python. 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 license.
Keywords for this software
References in zbMATH (referenced in 3 articles , 1 standard article )
Showing results 1 to 3 of 3.
- Pacchiardi, Lorenzo; Künzli, Pierre; Chopard, Bastien; Schöngens, Marcel; Dutta, Ritabrata: Distance-learning for approximate Bayesian computation to model a volcanic eruption (2021)
- de Vazelhes, William; Carey, Cj; Tang, Yuan; Vauquier, Nathalie; Bellet, Aurélien: metric-learn: metric learning algorithms in Python (2020)
- Suárez, Juan Luis; García, Salvador; Herrera, Francisco: pyDML: a Python library for distance metric learning (2020)