.. _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 ================= ================= ========================================