Data Reproducibility Challenges

Danielle and Angela discuss the challenges of maintaining reproducible pipelines in machine learning models, especially when dealing with changing data sources due to data deletion requests. They emphasize the importance of interpretability and explainability in models despite evolving data sets, aiming for reproducible metrics at each layer of the system.