pmml: Generate PMML for various models
The Predictive Modelling Markup Language (PMML) is a
language for representing models using XML in an application
independent way. Such models can then be shared with other
applications that support PMML (see
http://www.dmg.org/products.html). The generic pmml() function
takes an R model as its argument and returns the corresponding
PMML. Currently supported models for export include linear
regression (lm and glm), support vector machines (ksvm),
decision trees (rpart), neural networks (nnet, multinom),
association rules (arules), survival models (coxph, survreg),
random survival forests (randomSurvivalForest), and clusters
(kmeans, hclust).
| Version: |
1.2.28 |
| Depends: |
XML |
| Suggests: |
arules, nnet, rpart, randomSurvivalForest, randomForest, kernlab |
| Published: |
2012-01-16 |
| Author: |
Graham Williams, Michael Hahsler (arules), Zementis Inc, Hemant
Ishwaran, Udaya B. Kogalur, Rajarshi Guha |
| Maintainer: |
Graham Williams <Graham.Williams at togaware.com> |
| License: |
GPL (≥ 2) |
| URL: |
http://rattle.togaware.com/ |
| CRAN checks: |
pmml results |
Downloads:
Reverse dependencies: