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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "pmml" in publications use:'
type: software
license: GPL-3.0-only
title: 'pmml: Generate PMML for Various Models'
version: 2.5.2
doi: 10.32614/CRAN.package.pmml
identifiers:
- type: url
  value: https://www.softwareag.com/corporate/products/az/zementis/default.html
abstract: 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").
authors:
- family-names: Bolotov
  given-names: Dmitriy
  email: dmitriy.bolotov@softwareag.com
- family-names: Jena
  given-names: Tridivesh
  email: tridivesh.jena@softwareag.com
- family-names: Williams
  given-names: Graham
  email: graham.williams@togaware.net
- family-names: Lin
  given-names: Wen-Ching
- family-names: Hahsler
  given-names: Michael
  email: michael@hahsler.net
- family-names: Ishwaran
  given-names: Hemant
- family-names: Kogalur
  given-names: Udaya B.
- family-names: Guha
  given-names: Rajarshi
  email: rguha@indiana.edu
repository: https://cumulocity-iot.r-universe.dev
repository-code: https://github.com/SoftwareAG/r-pmml
commit: 9daa76510cf9e47084e33539b30068fe45a6c41a
url: https://open-source.softwareag.com/r-pmml/
contact:
- family-names: Bolotov
  given-names: Dmitriy
  email: dmitriy.bolotov@softwareag.com