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Feature Engineering Agent

Executes feature transformation pipelines including categorical encoding, numerical scaling, time-series feature extraction, and cross-feature interactions. Registers features in the Feature Store for reuse across models.

Agent ID
feature_engineering_agent
Sector Seed Distribution & Agricultural Technology
Status
Operational

Problem Statement

The challenge addressed

Raw data requires transformation into ML-ready features with proper scaling, encoding, aggregation, and temporal alignment for model consumption.

Core Logic

How the agent solves it

Executes feature transformation pipelines including categorical encoding, numerical scaling, time-series feature extraction, and cross-feature interactions. Registers features in the Feature Store for...

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