post://feature-engineering-pipelines-realtime-ml

Feature Engineering Pipelines for Real-Time ML

author: Swadhin Biswas read: 1 min
Machine LearningData Engineering
Feature Engineering Pipelines for Real-Time ML

Feature Engineering Pipelines for Real-Time ML

Use same transformation code in training and serving when possible.

$$ ext{skew} = lVert f_{train}(x) - f_{serve}(x) Vert $$

Track skew continuously and block rollout if thresholds are exceeded.