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 <http://dmg.org/>. 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").

Package details

AuthorDmitriy 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]
MaintainerDmitriy Bolotov <dmitriy.bolotov@softwareag.com>
LicenseGPL-3 | file LICENSE
Version2.5.2
URL https://open-source.softwareag.com/r-pmml/ https://github.com/SoftwareAG/r-pmml https://www.softwareag.com/corporate/products/az/zementis/default.html
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pmml")

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pmml documentation built on March 18, 2022, 5:49 p.m.