遵循以下最佳实践的项目将能够自愿的自我认证,并显示他们已经实现了核心基础设施计划(OpenSSF)徽章。 显示详细资料
[](https://www.bestpractices.dev/projects/5358)
<a href="https://www.bestpractices.dev/projects/5358"><img src="https://www.bestpractices.dev/projects/5358/badge"></a>
Feast is an open source feature store for machine learning. It was developed as a collaboration between Gojek and Google in 2018. Feast aims to: – Provide scalable and performant access to feature data for ML models during training or serving. – Provide a consistent view of features for both training and serving. – Enable re-use of features through discovery, documentation, and metadata tracking. – Ensures model performance by tracking, validating, and monitoring features in production.
Repository on GitHub, which uses git. git is distributed.
警告:需要URL,但找不到URL。
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Using pytest for automated benchmarking
警告:需要更长的理由。
后退