SELF-HEALING MACHINE LEARNING SYSTEM FOR TRANSFORMED DATA

An end-to-end cloud-based machine learning platform providing personalized game player experiences. Data lineage is generated for all transformed data for generating feature ETLs, and for training machine learning models. That data is used to understand the performance of off-line and online recommender systems for the personalization of the game player experiences. To that end, the platform pipeline provides the life cycle of the transformed data to a self-healing system that compare it to the life cycle of the user interactions. By comparing the two life cycles, the self-healing system can automatically provide a diagnostic, and it can also automatically provide an action if the performance of the model predictions has changed over time.