Description: The Predictive Modelling Markup Language (PMML) is a language
for representing models, in an application independent way. Such models
can then be loaded into other applications supporting PMML, such as
This package is very much in the early stages of
development. Contributions of transformations of other R models are
Currently this package supports only rpart classification trees and
kmeans clusters. Also, only export of PMML is supported.
This package is part of the Rattle toolkit.

The package is very much in the early stages of development, and
contributions (and bug reports) are welcome and encouraged!
Currently supported export of PMML: rpart classification trees,
randomSurvivorForest forest model, and kmeans clusters.

The package provides a generic pmml function to generate pmml for an
object. Using a S3 generic function the approriate method for the
class of the supplied object is dispatched.
The package currently supports the export of PMML for: rpart
classification trees, randomSurvivorForest forest models, and kmeans

classification trees, randomSurvivalForest forest models, and kmeans

The package currently supports the export of PMML for rpart

The package currently supports the export of PMML for linear
regression (but not interaction terms), rpart classification trees,
randomSurvivalForest forest models, and kmeans clusters.

Suggests: nnet, rpart, randomSurvivalForest, randomForest
can then be loaded into other applications supporting PMML, including
ADAPA from Zementis, Teradata Warehouse Miner and IBM's DB2.
regression, SVMs, rpart classification trees,

Package: pmml
Type: Package
Title: Generate PMML for various models
Version: 1.1.6
Date: 2008-04-16
Author: Graham Williams,  Zementis Inc, Hemant Ishwaran, Udaya B. Kogalur,
Rajarshi Guha
Maintainer: Graham Williams <Graham.Williams@togaware.com>
Depends: XML
Suggests: nnet, rpart, randomSurvivalForest, randomForest, kernlab
License: GPL (>= 2)
Description: The Predictive Modelling Markup Language (PMML) is a language
for representing models, in an application independent way. Such models
can then be loaded into other applications supporting PMML, including
ADAPA from Zementis, Teradata Warehouse Miner and IBM's DB2.
The package provides a generic pmml function to generate pmml for an
object. Using a S3 generic function the approriate method for the
class of the supplied object is dispatched.
The package currently supports the export of PMML for linear
regression, SVMs, rpart classification trees,
randomSurvivalForest forest models, and kmeans clusters.
This package is part of the Rattle toolkit.
URL: http://rattle.togaware.com/
Packaged: Wed Apr 16 06:38:55 2008; gjw