ML Model Retrainer for Construction

Overview

Automated pipeline for keeping construction ML models up-to-date. Monitor for data drift, trigger retraining when needed, validate performance, and manage model versions.

Business Case

ML models degrade over time as:

• Market conditions change (material prices, labor rates)
• New construction methods emerge
• Project complexity evolves
• Regional factors shift

Continuous retraining ensures predictions remain accurate.

Technical Implementation

from dataclasses import dataclass, field