The rule in the past was that whenever a predictive model was built in a particular development environment, it remained in that environment forever, unless it was manually recoded to work somewhere else. This rule has been shattered with the advent of PMML (Predictive Model Markup Language). By providing a uniform standard to represent predictive models, PMML allows for the exchange of predictive solutions between different applications and various vendors.
n this webinar, you will learn how to benefit from PMML to score your models built in R. It features David Smith from Revolution Analytics and Dr. Alex Guazzelli from Zementis. David Smith starts with an introduction Revolution Analytics and R. He is then followed by Dr. Alex Guazzelli who gives a brief introduction to Zementis, the ADAPA Scoring Engine, and PMML. His presentation is followed by a demo including the building and scoring of predictive models.