Adaptive Machine Learning Feature Engineering Pipeline

Design a machine learning feature engineering pipeline in PHP that can dynamically process and transform input data with adaptive preprocessing strategies. Implement a modular system that supports automatic feature selection, handling of missing values, normalization techniques, and real-time feature importance calculation. The pipeline should be extensible, support multiple input types, and provide comprehensive logging and performance tracking of feature transformations.