pmml (1.5.0)

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 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).

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

License: GPL (>= 2.1)

Uses: survival, XML, ada, amap, arules, e1071, kernlab, randomForest, rpart, glmnet, nnet, testthat, randomForestSRC
Reverse depends: rattle
Reverse suggests: arules, creditmodel, partykit, pmmlTransformations, rattle

Released over 4 years ago.