PMML 1.1 -- Predictive Model Markup Languange

Predictive Model Markup Language (PMML) is an XML-based language which provides a quick and easy way for companies to define predictive models and share models between compliant vendors' applications.

PMML provides applications a vendor-independent method of defining models so that proprietary issues and incompatibilities are no longer a barrier to the exchange of models between applications. It allows users to develop models within one vendor's application, and use other vendors' applications to visualize, analyze, evaluate or otherwise use the models. Previously, this was virtually impossible, but with PMML, the exchange of models between compliant applications now will be seamless.

PMML DTD Descriptions

PMML General Structure
PMML Conformance
Header
Data Dictionary
Mining Schema
Statistics
Normalization
Tree Classification
Polynomial Regression
General Regression
Association Rules
Neural Network
Center-based and Distribution-based Clustering