Predictive Analytics with R, PMML, ADAPA, and Excel

January 7, 2011
By

[This article was first published on Predictive Analytics, Big Data, Hadoop, PMML, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

PMML (Predictive Model Markup Language) is the standard language used by all the top analytic vendors (commercial and open-source) to represent predictive models. These include IBM/SPSS, SAS, KXEN, TIBCO, STATISICA, R, KNIME, and RapidMiner (for details, see list of PMML-powered tools at DMG.org).

Once a predictive model is exported in PMML format, it can be easily deployed in ADAPA, the predictive decisioning platform from Zementis. ADAPA is PMML-based and is able to upload new and older versions of PMML files and make them available for execution, right away.

Model execution can be performed via the ADAPA Console, Web-services or from within Excel. ADAPA makes predictive models accessible from anywhere at anytime.

See for yourself. Watch our new R to PMML to ADAPA video and learn how to execute your predictive models from within Excel by using ADAPA on the Amazon Cloud.

To leave a comment for the author, please follow the link and comment on their blog: Predictive Analytics, Big Data, Hadoop, PMML.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)