PSI Draft Specification
It addresses the need for interoperability in machine learning deployment, but is incremental as it builds on existing web protocols.
The paper tackles the problem of standardizing machine learning services by proposing a draft HTTP-based specification for delivering them, resulting in a structured framework with essential and optional components.
This document presents the draft specification for delivering machine learning services over HTTP, developed as part of the Protocols and Structures for Inference project, which concluded in 2013. It presents the motivation for providing machine learning as a service, followed by a description of the essential and optional components of such a service.