pmml: Generate PMML for various models

The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define statistical and data mining models and to share models between PMML compliant applications. More information about PMML and the Data Mining Group can be found at http://www.dmg.org. The generated PMML can be imported into any PMML consuming application, such as the Zementis ADAPA and UPPI scoring engines which allow for predictive models built in R to be deployed and executed on site, in the cloud (Amazon, IBM, and FICO), in-database (IBM Netezza, Pivotal, Sybase IQ, Teradata and Teradata Aster) or Hadoop (Datameer and Hive).

Version: 1.4.1
Depends: XML
Imports: survival
Suggests: ada, arules, glmnet, nnet, rpart, randomForestSRC, randomForest, kernlab, e1071, mlbench, pmmlTransformations
Published: 2013-10-24
Author: Graham Williams, Tridivesh Jena, Michael Hahsler (arules), Zementis Inc, Hemant Ishwaran, Udaya B. Kogalur, Rajarshi Guha
Maintainer: Tridivesh Jena <rpmmlsupport at zementis.net>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://rattle.togaware.com/
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: pmml results

Downloads:

Reference manual: pmml.pdf
Package source: pmml_1.4.1.tar.gz
MacOS X binary: pmml_1.4.1.tgz
Windows binary: pmml_1.4.1.zip
Old sources: pmml archive

Reverse dependencies:

Reverse suggests: arules, partykit, pmmlTransformations, rattle