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English(EN) Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes

Amazon SageMaker Feature Store 通过 UpdateRecord API 实现特征级写入

Amazon SageMaker Feature Store 推出了 UpdateRecord API,支持对机器学习特征进行特征级写入。这项新功能允许用户修改记录中的特定特征值,而无需读取和重写整个数据集。UpdateRecord API 支持标准(由 DynamoDB 支持)和内存中(由 ElastiCache 支持)的在线存储层,旨在降低延迟、防止竞态条件并降低与先前完整记录写入方法相关的成本。 AI

影响 简化了机器学习特征管理,可能降低运营成本并提高 AI 模型开发的效率。

排序理由 这是托管产品的更新,并非前沿模型发布或重大的行业转变。

在 AWS Machine Learning Blog 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Amazon SageMaker Feature Store 通过 UpdateRecord API 实现特征级写入

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这是托管产品的更新,并非前沿模型发布或重大的行业转变。
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报道来源 [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Mona Mona ·

    Amazon SageMaker Feature Store 引入 UpdateRecord 以实现特征级写入

    Amazon SageMaker Feature Store now supports feature-level writes. With the new UpdateRecord API, you can update one or more feature values in a single call without reading or rewriting the entire record. It is available for both the Standard (Amazon DynamoDB) and In-Memory (Amazo…