Predictive Model Markup Language (PMML)

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PMML (Predictive Model Markup Language) provides a standard way to represent data mining models so that these can be shared between different statistical applications.



Related Projects


Augustus development has moved to google code. The new project page is New releases of the project are not currently being released to sourceforge. Augustus is designed for statistical and data mining models and produces and consumes models with 10,000s of segments. Versions of Augustus support PMML 3, 4.0.1, and 4.1.

Jpmml - Java PMML API

Java API for creating and evaluating models in Predictive Model Markup Language (PMML). The project requires Java SE 5.0 or newer to run. For more information, please see detailed Installation and Usage instructions. pmml-coreLow-level API module. Provides JAXB-driven class model, which corresponds to the PMML Schema version 4.1. Can be used to develop PMML consumers (versions 3.0, 3.1, 3.2, 4.0 and 4.1) and producers (version 4.1 only). The class model is annotated with PMML Schema version info

Augustus - PMML model producer and consumer. Scoring engine.

AugustusAugustus is an open source system for building and scoring statistical models designed to work with data sets that are too large to fit into memory. Augustus is now available under the Apache Software License. Older versions will remain on the GNU GPL v2 open source license. Quick LinksTo get started, we offer an Installation Guide and a Modeling Primer which covers Augustus examples. Installation Guide

Pmmlapi - PMML Java API

This project aims to develop Java API for Predictive Model Markup Language.


Transformation from MathML (presentation markup) to SVG using XSLT 2.0

Dmvow - Data Mining results visualization on Web

OverviewThis project is created to visualize different Data Mining results across the Web. The first target is to visualize Association Rules. Try the demo-version. Features descriptionNow it is a web-application based on Adobe Flex technology. Data sources: PMML Microsoft SQL Server 2005 Analysis Services database dump Processing features: Filtering the model rules using a sequence of user-defined filters Rule content-based filters Clustering-based filters Interestingness-based filters Visualiz

oryx - Simple real-time large-scale machine learning infrastructure.

<img align="right" src=""/>The Oryx open source project provides simple, real-time large-scale machine learning /predictive analytics infrastructure. It implements a few classes of algorithm commonly used in business applications:*collaborative filtering / recommendation*, *classification / regression*, and *clustering*.It can continuously build models from a stream of data at large scale using[Apache Hadoop](

Change-detection - data analytics for detecting changes in a system

All things must change to something new, to something strange; Henry Wadsworth Longfellow, "Kéramos" An important problem in data mining is detecting changes in large data sets. Although there are a variety of change detection algorithms that have been developed, in practice it can be a problem to scale these algorithms to large data sets due to the heterogeneity of the data. This is an introduction and demonstration of using open source software and the Data Mining Group's Predictive Model Mar

pmml - sandpit for PMML tinkering

sandpit for PMML tinkering

pmml - Java API for creating and evaluating models in Predictive Model Markup Language (PMML)

Java API for creating and evaluating models in Predictive Model Markup Language (PMML)