Fevor: A Design Decision for the Machine Learning Platform

Fevor lets engineers define features based on raw data sets in a way that the definitions one engineer writes can be used right alongside definitions of other engineers. LinkedIn's model deployment and registration systems push the model into LinkedIn's production environment for running an inference. There are more details I could give on some of those areas. Maybe if I come up with top ideas I'd like to share more generally.