Instruction: Outline an approach for automating the feature engineering process within ML pipelines, including dynamic adaptation to changing data.
Context: This question assesses the candidate's capability to innovate in automating one of the most labor-intensive aspects of ML development, enhancing efficiency and model performance.
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I would design automated feature engineering as a controlled pipeline, not a feature explosion engine. The system should generate candidate transformations, test them against task-appropriate validation, track lineage, and enforce serving feasibility so it does...