--- /dev/null
+.. _pmml:
+
+*******************************************************
+Loading and executing a PMML file
+*******************************************************
+
+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.
+
+Yacs provides an elementary python node called **PyLoadPMML** that generates an object of type **pyobj**
+from a model read in a PMML file.
+This pyobj is a **PyFunction** that can be executed in a python node created by the user.
+
+
+.. _pmmlModelTypes:
+
+Authorized PMML model types
+===================================
+
+Node PyLoadPMML uses the swig/python interface to library libpmmlLib.so (Linux) or pmmllib.dll (Windows).
+This library handles :
+ - **Neuronal Network** models and
+ - **Linear Regression** models.
+
+.. _pmmlPyLoadPMML:
+
+Description of PyLoadPMML
+===================================
+
+
+ - **Input ports**
+
+================= ================= ========================================
+Input port name YACS type Comment
+================= ================= ========================================
+filename string Name of the PMML file,
+ including its path if the file is
+ not in the current directory
+
+modelname string Name of the model to load
+
+pmmltype string Type of the model. Value is one of
+ kLR (linear regression)
+ or kANN (neural network)
+================= ================= ========================================
+
+
+
+ - **Output ports**
+
+================= ================= ========================================
+Output port name YACS type Comment
+================= ================= ========================================
+pyFunc pyobj PyFunction representing the model
+ This function takes a vector of
+ doubles as input parameter and
+ returns a value of type double
+================= ================= ========================================
+
+
+.. _pmmlModelExecution:
+
+Example of model execution
+===================================
+
+Create a YACS schema that uses node PyLoadPMML and add a python node that will execute the
+the pyfunction created by PyLoadPMML. The YACS schema with the execution python node code
+is shown below :
+
+.. image:: images/pmml_exec.png
+ :align: center
+
+The characteristics of the execution node are the following:
+
+ - **Input ports**
+
+================= ================= ========================================
+Input port name YACS type Comment
+================= ================= ========================================
+myFunc pyobj Linked to the PyFunction generated
+ by PyLoadPMML
+
+params dblevec Vector of doubles,
+ input of the PyFunction
+================= ================= ========================================
+
+ - **Output ports**
+
+================= ================= ========================================
+Output port name YACS type Comment
+================= ================= ========================================
+o5 double Result of the model execution
+================= ================= ========================================
