Advanced Automated Machine Learning (AutoML) Framework

Design a comprehensive AutoML system capable of end-to-end machine learning pipeline automation with advanced model selection and optimization techniques. Implement multi-fidelity optimization, neural architecture search, and meta-learning approaches. Develop a flexible framework supporting heterogeneous model types, constrained resource environments, and interpretable model selection. Include comprehensive performance tracking and automated reporting mechanisms.