What is end-to-end lineage-aware ML pipeline debugging?

Lineage-aware debugging traces model issues back through data, features, and transformations.

Lineage-aware debugging uses data lineage graphs to trace model behavior issues back to their origin. If model performance degrades, engineers can inspect upstream datasets, feature transformations, and training code versions. This drastically reduces mean time to resolution (MTTR) in ML systems.