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To contribute to the package, check out the Contribution Guidelines and join the contributors-q-&-a channel on Slack, or communicate with us via github issues. To support us, please give us a star on ⭐️ Github ⭐️, it ...
Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling you to thoroughly test your data and models from research to production.
Deepchecks是一款开源工具，专为AI和机器学习模型的验证而设计。它提供从研究到生产的全面测试解决方案，包括数据和模型的测试、持续集成及监控。Deepchecks涵盖数据表格、自然语言处理和计算机视觉的验证需求，并提供详细文档和社区支持，助力提升模型的性能与准确性。用户可轻松安装使用这 ...
Dec 15, 2024 · To run a specific single check, all you need to do is import it and then to run it with the required (check-dependent) input parameters. More details about the existing checks and the parameters they ca...
Assessing whether an output is acceptable often requires expert judgment, deep context, and repeated review. This makes quality assurance slow, inconsistent, and fragile, especially as models, prompts, and workflows e...
Each check contains outputs to display in a notebook and/or conditions with a pass/fail/warning output. For more information head over to our Key Concepts in the User Guide.
If you don't yet have access for the system, click here to sign up Get started with Deepchecks and upload your data for evaluation Check out our Core Features, explore the concept of Properties at the core of the syst...
