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Tuesday, June 28 • 5:57pm - 6:15pm
Helping R Stay in the Lead by Deploying Models with PFA

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We introduce a new language for deploying analytic models into products, services and operational systems called the Portable Format for Analytics (PFA). PFA is an example of what is sometimes called a model interchange format, a standard and domain specific language for describing analytic models that is independent of specific tools, applications or systems. Model interchange formats allow one application (the model producer) to export models and another application (the model consumer or scoring engine) to import models. The core idea behind PFA is to support the safe execution of statistical functions, mathematical functions, and machine learning algorithms and their compositions within a safe execution environment. With this approach, the common analytic models used in data science can be implemented, as well as the data transformations and data aggregations required for pre- and post-processing data. We will discuss the deployment of models developed in R using PFA, why PFA is strategically important for the R community, and the current state of R libraries for PFA exporting and manipulation of models developed in R.

avatar for Thomas  Petzoldt

Thomas Petzoldt

scientist, TU Dresden (Dresden University of Technology)
dynamic modelling, ecology, environmental statistics, aquatic ecosystems, antibiotic resistance genes, R packages: simecol, deSolve, FME, marelac, growthrates

avatar for Stuart  Bailey

Stuart Bailey

CTO, Open Data Group
I'm a technologist and entrepreneur who has been focused on analytic and data intensive distributed systems for over two decades. At Open Data Group we are focused on improving processes and technologies for deploying analytics such as those created with R. We refer to the capabilities and interests in that areas a AnalyticOps. We are interested in helping people understand model interchange formats like PMML and PFA, analytic deployment engines... Read More →

Tuesday June 28, 2016 5:57pm - 6:15pm
SIEPR 120 366 Galvez St, Stanford, CA 94305

Attendees (11)