Graham Williams, Tridivesh Jena, Wen Ching Lin, Michael Hahsler
(arules), Zementis Inc, Hemant Ishwaran, Udaya B. Kogalur, Rajarshi Guha,
Dmitriy Bolotov
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).

ada, amap, arules, gbm, glmnet, neighbr, nnet, rpart,
randomForestSRC, randomForest, kernlab, e1071, testthat,
survival, xgboost, pmmlTransformations(>= 1.3.1)

ada, amap, arules, gbm, glmnet, neighbr, nnet, rpart,
randomForestSRC (<= 2.5.0), randomForest, kernlab, e1071,
testthat, survival, xgboost, pmmlTransformations(>= 1.3.1)
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).

Graham Williams, Tridivesh Jena, Wen Ching Lin, Michael Hahsler
(arules), Software AG, Hemant Ishwaran, Udaya B. Kogalur, Rajarshi Guha,
Dmitriy Bolotov
ada, amap, arules, gbm, glmnet, neighbr, nnet, rpart,
randomForestSRC (<= 2.5.0), randomForest, kernlab, e1071,
testthat, survival, xgboost, pmmlTransformations(>= 1.3.1),
knitr, rmarkdown
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 Software AG Zementis scoring engine, which allows 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).