
David Smith, Vice President - Marketing, Revolution Analytics
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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 Modeling 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.
In this joint webinar from Revolution Analytics and Zementis, you’ll learn:
- How to use data to create predictive models in the R language, with Revolution R Enterprise
- The purpose of the PMML standard, and predictive models it supports
- How to export predictive models from R using PMML
- How to score predictive models in PMML using ADAPA, from within Microsoft Excel and in the cloud
Download the Revolution Analytics whitepaper: Deploying Advanced Analytics Using R & PMML
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