Predictive Log Analysis and Anomaly Detection Framework

Create an advanced log processing system that can ingest logs from multiple sources, perform real-time anomaly detection, and generate predictive insights using machine learning models. Implement a scalable architecture supporting structured and unstructured log formats, with automatic feature extraction and adaptive threat detection algorithms. Include a comprehensive visualization interface and support for custom alert configurations.