Tag
feature-store
- Oct 8, 2026 Point-in-Time Correctness in Training Set Assembly Joins between labels and features must respect event time, not ingestion time; how to build a training table that never sees the future. machine learning
- Dec 13, 2024 Feature Definitions as Versioned Artifacts Why a feature needs a name, a query, an owner, and a version, and how change control on feature definitions prevents silently retrained models. machine learning
- Aug 12, 2023 Point-in-Time Feature Reads and the Skew They Prevent Training a model on features computed after the fact and serving it on features computed at request time yields two different distributions; point-in-time joins are the mechanism that forces them to agree. inference systems
- May 30, 2023 Point-in-Time Feature Assembly and the As-Of Join How to compute a feature as it stood at a labelled event, why an as-of join is not a filtered join, and where late-arriving records break the reconstruction. machine learning