pmml: Generate PMML for various models
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 appropriate method for the class of the
supplied object is dispatched. The package currently supports
the export of PMML for linear regression, generalized linear
regression, multinomial logistic regression, SVMs, rpart
classification trees, randomSurvivalForest, randomForest, naive
bayes models and kmeans clusters. This package is part of the
Rattle toolkit.
| Version: |
1.2.35 |
| Depends: |
XML |
| Suggests: |
nnet, rpart, randomSurvivalForest, randomForest, kernlab, survival, glmnet, e1071, mlbench, arules |
| Published: |
2013-06-12 |
| Author: |
Graham Williams, Michael Hahsler (arules), Zementis Inc, Hemant
Ishwaran, Udaya B. Kogalur, Rajarshi Guha |
| Maintainer: |
Tridivesh Jena <Tridivesh.jena at zementis.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
http://rattle.togaware.com/ |
| NeedsCompilation: |
no |
| CRAN checks: |
pmml results |
Downloads:
Reverse dependencies: