MODELDB: Opportunities and Challenges in Managing Machine Learning Models

Manasi Vartak, Samuel Madden
2018 IEEE Data Engineering Bulletin  
Machine learning applications have become ubiquitous in a variety of domains. Powering each of these ML applications are one or more machine learning models that are used to make key decisions or compute key quantities. The life-cycle of an ML model starts with data processing, going on to feature engineering, model experimentation, deployment, and maintenance. We call the process of tracking a model across all phases of its life-cycle as model management. In this paper, we discuss the current
more » ... eed for model management and describe MODELDB, the first open-source model management system developed at MIT. We also discuss the changing landscape and growing challenges and opportunities in managing models.
dblp:journals/debu/VartakM18 fatcat:ku5ohu2ty5dlfaueohtmexdnuu