pmml: 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 <https://dmg.org/>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products.

Version:	2.6.0
Depends:	XML
Imports:	methods, stats, utils, stringr
Suggests:	ada, amap, arules, caret, clue, data.table, forecast, gbm, glmnet, magrittr, Matrix, neighbr, nnet, rpart, randomForest, rattle, kernlab, e1071, testthat, survival, xgboost, knitr, rmarkdown, covr, tibble
Published:	2026-03-26
DOI:	10.32614/CRAN.package.pmml
Author:	Michael Hahsler [aut, cre], Bruno Rodrigues [aut], Dmitriy Bolotov [aut], Tridivesh Jena [aut], Graham Williams [aut], Wen-Ching Lin [aut], Hemant Ishwaran [aut], Udaya B. Kogalur [aut], Rajarshi Guha [aut], Software AG [cph]
Maintainer:	Michael Hahsler <mhahsler at lyle.smu.edu>
BugReports:	https://github.com/mhahsler/r-pmml/issues
License:	GPL-3 | file LICENSE
URL:	https://github.com/mhahsler/r-pmml
NeedsCompilation:	no
Materials:	README, NEWS
In views:	ModelDeployment
CRAN checks:	pmml results

Documentation:

Reference manual:	pmml.html , pmml.pdf
Vignettes:	Supported Packages and Additional Functions (source, R code) Introduction to xform_function (source, R code)

Downloads:

Package source:	pmml_2.6.0.tar.gz
Windows binaries:	r-devel: pmml_2.6.0.zip, r-release: pmml_2.6.0.zip, r-oldrel: pmml_2.6.0.zip
macOS binaries:	r-release (arm64): pmml_2.6.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): pmml_2.6.0.tgz, r-oldrel (x86_64): pmml_2.6.0.tgz
Old sources:	pmml archive

Reverse dependencies:

Reverse suggests:

arules

Linking:

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