PMML
The Predictive Model Markup Language (PMML) is an XML-based language aimed at providing a way to exchange different predictive models, for classification or regression purposes, generated using a data mining or machine learning technique. PMML was originally developed by the Data Mining Group (http://www.dmg.org/) in 1997 and its latest version (4.2.1) dates from May 2014.
Even if PMML itself is not a business-oriented language, it is currently possible to generate PMML documents from a variety of well known applications, such as Knime (https://www.knime.org/), or R language (https://www.r-project.org/).
PMML support in Drools is relatively new. It originally started as an experimental module but, with effect from version 6.1, PMML is a first-class ...
Get Mastering JBoss Drools 6 now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
