Evaluate documentation

πŸ€— Evaluate

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πŸ€— Evaluate

A library for easily evaluating machine learning models and datasets.

With a single line of code, you get access to dozens of evaluation methods for different domains (NLP, Computer Vision, Reinforcement Learning, and more!). Be it on your local machine or in a distributed training setup, you can evaluate your models in a consistent and reproducible way!

Visit the πŸ€— Evaluate organization for a full list of available metrics. Each metric has a dedicated Space with an interactive demo for how to use the metric, and a documentation card detailing the metrics limitations and usage.