An Architecture and Domain Specific Language Framework for Repeated Domain-Specific Predictive Modeling
; Proceedings of The 4th International Conference on Predictive Applications and APIs, PMLR 82:23-32, 2018.
When repeatedly fitting related predictive models within the same domain, for similar problems, it’s helpful to have tools to support an efficient, high-quality workflow. This paper describes a theory of the architecture for such tools and for the interfaces among predictive models and other aspects of a software system. Additionally, it describes an open-source reference implementation of this design, written in R, focusing on a Domain Specific Language for one specific repeated predictive modeling task.