Automate ML Pipeline Search with TPOT

Using a provided historical dataset of BESS telemetry (including labeled anomalies), implement TPOT to automatically search for the best performing machine learning pipeline for anomaly detection. Configure TPOT to optimize for F1-score and explore a diverse range of estimators and preprocessing steps. Document the best pipeline found and its performance metrics. Explain how this best pipeline could be deployed into the real-time Ray-based system.