pmml: Generate PMML for Various Models
Version 1.5.2

The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define statistical and data mining models and to share models between PMML compliant applications. More information about PMML and the Data Mining Group can be found at http:// www.dmg.org. The generated PMML can be imported into any PMML consuming application, such as the Zementis ADAPA and UPPI scoring engines which allow for predictive models built in R to be deployed and executed on site, in the cloud (Amazon, IBM, and FICO), in-database (IBM Netezza, Pivotal, Sybase IQ, Teradata and Teradata Aster) or Hadoop (Datameer and Hive).

Getting started

Package details

AuthorGraham Williams, Tridivesh Jena, Wen Ching Lin, Michael Hahsler (arules), Zementis Inc, Hemant Ishwaran, Udaya B. Kogalur, Rajarshi Guha, Dmitriy Bolotov
Date of publication2017-02-27 10:58:20
MaintainerTridivesh Jena <[email protected]>
LicenseGPL (>= 2.1)
Version1.5.2
URL http://zementis.com/
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 May 29, 2017, 11:35 p.m.