Adaptive User Behavior Prediction Framework

Develop an advanced predictive analytics framework that uses machine learning to forecast user behaviors in a technology platform. Create a system that combines historical interaction data, contextual signals, and probabilistic modeling to predict user actions with high accuracy. Implement a modular machine learning pipeline using TensorFlow.js, design adaptive model retraining mechanisms, and create a real-time scoring system with comprehensive explainability features.