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pmml  

Generate PMML for Various Models
View on CRAN: Click here


Download and install pmml package within the R console
Install from CRAN:
install.packages("pmml")

Install from Github:
library("remotes")
install_github("cran/pmml")

Install by package version:
library("remotes")
install_version("pmml", "2.5.2")



Attach the package and use:
library("pmml")
Maintained by
Dmitriy Bolotov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2007-02-11
Latest Update: 2022-03-04
Description:
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").
How to cite:
Dmitriy Bolotov (2007). pmml: Generate PMML for Various Models. R package version 2.5.2, https://cran.r-project.org/web/packages/pmml. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.1 (2007-02-11 13:43), 1.0.3 (2007-02-17 09:57), 1.0.5 (2007-02-20 10:16), 1.1.0 (2007-04-11 10:22), 1.1.1 (2007-06-05 09:58), 1.1.2 (2007-06-10 21:50), 1.1.3 (2007-09-30 17:56), 1.1.5 (2008-03-12 17:25), 1.1.6 (2008-04-16 09:45), 1.1.7 (2008-04-22 08:35), 1.1.9 (2008-07-05 18:32), 1.2.0 (2009-01-05 11:34), 1.2.8 (2009-03-03 20:46), 1.2.9 (2009-03-06 17:53), 1.2.10 (2009-03-09 08:52), 1.2.15 (2009-06-22 09:28), 1.2.17 (2009-08-08 09:39), 1.2.19 (2009-10-26 20:28), 1.2.20 (2009-11-04 08:53), 1.2.21 (2009-12-07 11:54), 1.2.22 (2010-05-19 10:12), 1.2.23 (2010-08-05 23:13), 1.2.24 (2010-09-15 11:33), 1.2.25 (2010-10-07 13:51), 1.2.26 (2010-10-09 09:30), 1.2.27 (2011-01-03 13:36), 1.2.28 (2012-01-16 15:11), 1.2.29 (2012-02-19 21:56), 1.2.30 (2012-04-03 23:02), 1.2.32 (2012-12-09 16:42), 1.2.33 (2013-01-20 13:48), 1.2.34 (2013-01-26 08:44), 1.2.35 (2013-06-12 14:05), 1.3 (2013-08-17 07:18), 1.4.1 (2013-10-24 19:05), 1.4.2 (2014-06-17 08:24), 1.4 (2013-10-19 00:21), 1.5.0 (2015-08-05 09:30), 1.5.1 (2016-09-28 22:55), 1.5.2 (2017-02-27 10:58), 1.5.3 (2017-11-28 01:16), 1.5.4 (2018-01-08 23:21), 1.5.5 (2018-07-06 10:20), 1.5.6 (2018-10-09 00:30), 1.5.7 (2019-01-25 08:30), 2.0.0 (2019-06-03 15:30), 2.1.0 (2019-09-13 07:50), 2.2.0 (2020-01-11 01:50), 2.3.0 (2020-03-18 08:20), 2.3.1 (2020-04-22 12:02), 2.4.0 (2021-01-15 08:10), 2.5.0 (2021-11-04 09:30), 2.5.1 (2021-11-06 16:00), 2.5.2 (2022-03-04 12:50)
Other packages that cited pmml R package
View pmml citation profile
Other R packages that pmml depends, imports, suggests or enhances
Complete documentation for pmml
Functions, R codes and Examples using the pmml R package
Some associated functions: add_attributes . add_data_field_attributes . add_data_field_children . add_mining_field_attributes . add_output_field . audit . file_to_xml_node . function_to_pmml . houseVotes84 . make_intervals . make_output_nodes . make_values . pmml-package . pmml.ARIMA . pmml.ada . pmml.coxph . pmml.cv.glmnet . pmml.gbm . pmml.glm . pmml.hclust . pmml.iForest . pmml.kmeans . pmml.ksvm . pmml.lm . pmml.multinom . pmml.naiveBayes . pmml.neighbr . pmml.nnet . pmml . pmml.randomForest . pmml.rpart . pmml.rules . pmml.svm . pmml.xgb.Booster . rename_wrap_var . save_pmml . xform_discretize . xform_function . xform_map . xform_min_max . xform_norm_discrete . xform_wrap . xform_z_score . 
Some associated R codes: add_attributes.R . add_data_field_attributes.R . add_data_field_children.R . add_mining_field_attributes.R . add_output_field.R . data-audit.R . data-houseVotes84.R . data_dictionary.R . defunct.R . file_to_xml_node.R . function_to_pmml.R . make_intervals.R . make_output_nodes.R . make_values.R . mining_schema.R . pmml-package.R . pmml.ARIMA.R . pmml.R . pmml.ada.R . pmml.coxph.R . pmml.cv.glmnet.R . pmml.gbm.R . pmml.glm.R . pmml.hclust.R . pmml.iForest.R . pmml.itemsets.R . pmml.kmeans.R . pmml.ksvm.R . pmml.lm.R . pmml.multinom.R . pmml.naiveBayes.R . pmml.neighbr.R . pmml.nnet.R . pmml.randomForest.R . pmml.rpart.R . pmml.rules.R . pmml.svm.R . pmml.xgb.Booster.R . rename_wrap_var.R . save_pmml.R . utils.R . xform_discretize.R . xform_function.R . xform_map.R . xform_min_max.R . xform_norm_discrete.R . xform_wrap.R . xform_z_score.R .  Full pmml package functions and examples
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