Adaptive Rate Limiting Middleware with Machine Learning Prediction

Design an intelligent rate-limiting middleware for Express.js that dynamically adjusts throttling based on machine learning predictions of traffic patterns. Implement a system that can learn from historical request data, automatically detect anomalies, and dynamically modify rate limit thresholds. Include support for per-user, per-endpoint, and global rate limiting strategies, with comprehensive logging and real-time adaptive algorithms.