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SageMaker Python SDK

用于开发 Amazon SageMaker 模型的高级 Python 库。

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最近变化

2026-05-19 · 通过 Lake Formation 原生集成,可在创建特征组时自动启用列级、行级及单元格级访问控制,无需手动配置。

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SageMaker Python SDK 被反复提及时,通常意味着它正在影响产品路线、开发者工作流或 AI 产业判断。这个页面把分散材料合并成一个可持续更新的观察入口。

Apache IcebergAWSFeature StoreMachine LearningSageMaker

相关材料

已收录 1 条与 SageMaker Python SDK 相关的内容,按评分排序。

Accelerate ML feature pipelines with new capabilities in Amazon SageMaker Feature Store

Accelerate ML feature pipelines with new capabilities in Amazon SageMaker Feature Store

AWS Machine Learning Blog2549 字 (约 11 分钟)
80

Amazon SageMaker Feature Store released three new capabilities: native AWS Lake Formation integration for fine-grained access control, new Apache Iceberg table properties to manage metadata lifecycle and reduce storage costs, and a lighter, faster development experience via SageMaker Python SDK v3.

入选理由:通过 Lake Formation 原生集成,可在创建特征组时自动启用列级、行级及单元格级访问控制,无需手动配置。

FeaturedArticle#AWS#SageMaker#Feature Store#Machine Learning#Apache Iceberg英文

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