Introducing Metrax: performant, efficient, and robust model evaluation metrics in JAX

Metrax is a high-performance JAX-based metrics library developed by Google. It standardizes model evaluation by offering robust, efficient metrics for classification, NLP, and vision, eliminating manual re-implementation after migrating from TensorFlow…


This content originally appeared on Google Developers Blog and was authored by Google Developers Blog

Metrax is a high-performance JAX-based metrics library developed by Google. It standardizes model evaluation by offering robust, efficient metrics for classification, NLP, and vision, eliminating manual re-implementation after migrating from TensorFlow. Key strengths include parallel computation of "at K" metrics (e.g., PrecisionAtK) for multiple K values and strong integration with the JAX AI Stack, leveraging JAX's performance features. It is open-source on GitHub.


This content originally appeared on Google Developers Blog and was authored by Google Developers Blog


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Google Developers Blog | Sciencx (2025-11-18T20:57:25+00:00) Introducing Metrax: performant, efficient, and robust model evaluation metrics in JAX. Retrieved from https://www.scien.cx/2025/11/18/introducing-metrax-performant-efficient-and-robust-model-evaluation-metrics-in-jax-2/

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