Metric-learn is an open-source Python library for metric learning, specifically designed to be compatible with scikit-learn. It provides implementations of state-of-the-art algorithms for learning distance metrics from data, making it useful for clustering, classification, and dimensionality reduction tasks where tailored similarity measurements are important. The library is aimed at researchers, data scientists, and developers interested in advanced machine learning workflows.
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Comprehensive API reference and usage examples for the metric-learn library.
A collection of example use cases and tutorials demonstrating how to use the metric-learn library.
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