Advanced Log Analysis and Predictive Maintenance Model

Create a comprehensive log analysis system that transforms raw system logs into predictive maintenance insights. Develop a multi-stage pipeline using Python that includes log parsing, feature extraction, anomaly detection, and failure prediction. Implement machine learning models that can identify subtle precursors to system failures, with support for multiple log formats, real-time processing, and automated alert generation with root cause probability estimation.