metric-learn: Metric Learning Algorithms in Python
2019-08-13Code Available0· sign in to hype
William de Vazelhes, CJ Carey, Yuan Tang, Nathalie Vauquier, Aurélien Bellet
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- github.com/scikit-learn-contrib/metric-learnOfficialIn papernone★ 0
- github.com/Mind23-2/MindCode-101/tree/main/metric_learnmindspore★ 0
- github.com/Mind23-2/MindCode-3/tree/main/metric_learnmindspore★ 0
- github.com/code-implementation1/Code5/tree/main/metric_learnmindspore★ 0
- github.com/all-umass/metric_learnnone★ 0
- github.com/MS-Mind/MS-Code-08/tree/main/metric_learnmindspore★ 0
Abstract
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.