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\mainpage Introduction

The Predictive Model Markup Language (PMML) is an XML-based file format developed by the Data Mining Group to provide a way for applications to describe and exchange models produced by data mining and machine learning algorithms.

The Salome PMML module allows the handling of PMML files :
- reading of PMML files containing one or more models,
- creation of PMML files with  one or more models,
- supports models of types « NeuralNetwork » and « rRegressionModel »,
- generation of  C++, FORTRAN and Python code from a model specifications.


Furthermore, it is possible to load a model from a PMML file and generate the matching python function through YACS elementary node PyLoadPMML, indicating the PMML file, model name and type. The output port is the python function.


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\section contents Contents
This document is organized as follows:
- Technical presentation of \ref PMMLlib
- \ref cppexamples 
- \ref pyexamples 


\section install Installation
The install procedure of the %PMMLlib SALOME module can handle a variety of configurations
to suit the needs of its user. Instructions for configuring and
installing the module can be found in \ref pmml_install.


\section references References
Here follows a list of useful references :

-# Data Mining Group reference page : \c http://www.dmg.org/v4-1/GeneralStructure.html

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