Machine Learning Credit Default Prediction Pipeline

Design a type-safe TypeScript machine learning pipeline for credit default prediction with advanced type constraints. Create a flexible data preprocessing system that can handle multiple input sources with compile-time type validation. Implement generic model training and evaluation interfaces that support different machine learning algorithms while maintaining strict type safety. Include performance optimization techniques and demonstrate how TypeScript can create robust, type-safe machine learning infrastructure for financial applications.