Machine Learning Model Training Pipeline

Develop a Laravel-based machine learning model training and deployment pipeline specifically for scientific research. Create a system that can ingest large scientific datasets, preprocess data, train multiple machine learning models in parallel using containerization, and manage model versioning. Implement a flexible configuration system that allows researchers to define training parameters, track experimental results, and automatically generate comprehensive performance reports.