Machine Learning Credit Risk Prediction Microservice

Develop a scalable machine learning microservice API using FastAPI that provides real-time credit risk predictions. Implement a model that integrates historical financial data, supports multiple scoring algorithms (logistic regression, random forest), and provides probabilistic risk assessments. The API must include secure model versioning, support for model retraining triggers, comprehensive input validation, and generate explainable AI insights for each prediction. Include Docker containerization and Kubernetes deployment configurations.