pmml (1.5.5)

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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 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).

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

License: GPL (>= 2.1)

Uses: stringr, XML, ada, amap, arules, e1071, gbm, kernlab, randomForest, rpart, survival, glmnet, nnet, testthat, knitr, randomForestSRC, xgboost, rmarkdown, neighbr
Reverse depends: rattle
Reverse suggests: arules, partykit, pmmlTransformations, rattle

Released about 1 month ago.

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Visit pmml on R Graphical Manual.