metric-learn: Metric Learning Algorithms in Python
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Abstract (arXiv)
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.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 13 Aug 2019.
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Citing papers per year: 2021: 3; 2022: 2; 2023: 3; 2024: 1; 2025: 2.
11 papers.
- 2021Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Frameworkcited by 17
- 2022Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Surveycited by 10
- 2021Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labelingcited by 6
- 2022Robust Geometric Metric Learningcited by 3
- 2024Can an unsupervised clustering algorithm reproduce a categorization system?cited by 2
- 2021Metric Learning in Multilingual Sentence Similarity Measurement for Document Alignmentcited by 1
- 2023Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Errorcited by 0
- 2023Improved Aircraft Environmental Impact Segmentation via Metric Learningcited by 0
- 2023Gender mobility in the labor market with skills-based matching modelscited by 0
- 2025Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality Reductioncited by 0
- 2025Global Ground Metric Learning with Applications to scRNA datacited by 0
- 2025Global Ground Metric Learning with Applications to scRNA data18 Jun 2025
- 2025Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality Reduction31 Jan 2025
- 2024Can an unsupervised clustering algorithm reproduce a categorization system?19 Aug 2024
- 2023Gender mobility in the labor market with skills-based matching models17 Jul 2023
- 2023Improved Aircraft Environmental Impact Segmentation via Metric Learning24 Jun 2023
- 2023Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error28 Feb 2023
- 2022Robust Geometric Metric Learning23 Feb 2022
- 2022Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey23 Jan 2022
- 2021Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework10 Sep 2021
- 2021Metric Learning in Multilingual Sentence Similarity Measurement for Document Alignment21 Aug 2021
- 2021Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling26 Jul 2021