Operations may aggregate events, encode categories, normalize values, or derive domain-specific measurements. The same transformations must run consistently during training and inference to prevent skew.
Feature engineering transforms raw data into model inputs that expose useful structure for a prediction task.
Operations may aggregate events, encode categories, normalize values, or derive domain-specific measurements. The same transformations must run consistently during training and inference to prevent skew.