Machine Learning Credit Default Prediction Pipeline

Create a comprehensive Python-based machine learning pipeline for predicting corporate credit defaults using scikit-learn and TensorFlow. The model should integrate multiple data sources including financial statements, market sentiment analysis, macroeconomic indicators, and historical default patterns. Implement cross-validation techniques, feature engineering, and develop an automated reporting system that generates interpretable risk scores with confidence intervals.