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://www.dmg.org>. The generated PMML can be imported into any PMML consuming application, such as Zementis Predictive Analytics products, which integrate with web services, relational database systems and deploy natively on Hadoop in conjunction with Hive, Spark or Storm, as well as allow predictive analytics to be executed for IBM z Systems mainframe applications and real-time, streaming analytics platforms.

Package details

AuthorGraham Williams, Tridivesh Jena, Wen Ching Lin, Michael Hahsler (arules), Software AG, Hemant Ishwaran, Udaya B. Kogalur, Rajarshi Guha, Dmitriy Bolotov
MaintainerTridivesh Jena <[email protected]>
LicenseGPL (>= 2.1)
Version1.5.6
URL https://www.softwareag.com/zementis
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pmml")

Try the pmml package in your browser

Any scripts or data that you put into this service are public.

pmml documentation built on Oct. 9, 2018, 1:04 a.m.