arXiv:2502.14745cs.DBcs.LG2025-02被引 3

用SQL查询机器学习模型,实现模型分析的统一化

SQL4NN: Validation and expressive querying of models as data

  • 将模型视为可查询的数据,用SQL进行分析
  • 支持结合训练/验证数据的联合查询任务
  • 适合研究者和工程师做模型对比与调试

我们视机器学习模型为一种重要的、具有内涵的数据。由此,对模型的各种分析任务可被看作对该类内涵数据的查询,常与训练或验证等外延数据结合。本文证明关系型数据库系统和SQL实际上非常适合处理此类任务。

原文摘要 · Abstract (English)

We consider machine learning models, learned from data, to be an important, intensional, kind of data in themselves. As such, various analysis tasks on models can be thought of as queries over this intensional data, often combined with extensional data such as data for training or validation. We demonstrate that relational database systems and SQL can actually be well suited for many such tasks.

模型分析SQL数据查询

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