PAPIs 2018

Many currently available machine learning (ML) platforms focus on algorithms, but gloss over many of the other difficult parts of operating a scalable, production quality ML training and prediction system. We describe a machine learning platform that focuses on abstracting away the most difficult parts of operationalizing ML system including flexible yet performant feature extraction via a custom-designed domain-specific language(DSL), a low-latency model prediction service using ensembles of models in a single prediction, and a model management system for tracking versions of a model over time.