What is schema evolution in ML classification pipelines?

Schema evolution refers to handling changes in data structure over time in classification pipelines.

In production ML systems, input data schemas change frequently due to new features, deprecated fields, or upstream system modifications. Schema evolution ensures backward and forward compatibility. Systems use schema registries, versioning, and validation layers to prevent breaking changes. Without proper schema control, models may silently degrade or fail.