Intelligent Automated Feature Engineering Pipeline

Develop an autonomous feature engineering system that can dynamically generate, evaluate, and select high-information predictive features across diverse datasets. Implement advanced techniques including genetic programming, information theory-based feature selection, and meta-learning approaches. Create a flexible architecture that can handle both structured and unstructured data sources with transparent feature importance tracking.