pmmlTransformations: Transforms Input Data from a PMML Perspective

Allows for data to be transformed before using it to construct models. Builds structures to allow functions in the PMML package to output transformation details in addition to the model in the resulting PMML file. 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

AuthorTridivesh Jena, Wen Ching Lin, Dmitriy Bolotov
MaintainerDmitriy Bolotov <[email protected]>
LicenseGPL (>= 2.1)
Version1.3.3
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("pmmlTransformations")

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pmmlTransformations documentation built on June 12, 2019, 1:03 a.m.