Generate PMML for Various Models

The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define machine learning, statistical and data mining models and to share models between PMML compliant applications. More information about the PMML industry standard and the Data Mining Group can be found at <>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products. The package isofor (used for anomaly detection) can be installed with devtools::install_github("gravesee/isofor").


Reference manual

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2.5.1 by Dmitriy Bolotov, 3 months ago,,

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Browse source code at

Authors: Dmitriy Bolotov [aut, cre] , Tridivesh Jena [aut] , Graham Williams [aut] , Wen-Ching Lin [aut] , Michael Hahsler [aut] , Hemant Ishwaran [aut] , Udaya B. Kogalur [aut] , Rajarshi Guha [aut] , Software AG [cph]

Documentation:   PDF Manual  

Task views: Model Deployment with R

GPL-3 | file LICENSE license

Imports methods, stats, utils, stringr

Depends on XML

Suggests ada, amap, arules, caret, clue, data.table, forecast, gbm, glmnet, Matrix, neighbr, nnet, rpart, randomForestSRC, randomForest, rattle, kernlab, e1071, testthat, survival, xgboost, knitr, rmarkdown, covr

Imported by RKEEL.

Suggested by arules, creditmodel, partykit, pmmlTransformations, rattle.

See at CRAN