pmml.nnet: Generate PMML for a nnet object
Description
Generate the PMML representation for a nnet object (Neural Network).
The nnet object is converted into a PMML representation. The PMML
can then be imported into other systems that accept PMML.
With this code, a PMML representation can be obtained for Neural
Networks implementing classification (multi-class and binary) as well
as regression.Usage
## S3 method for class 'nnet':
pmml(model, model.name="NeuralNet_model", app.name="Rattle/PMML",
description="Neural Network PMML Model", copyright=NULL,
transforms=NULL, \dots)Arguments
model.name
a name to give to the model in the PMML.
app.name
the name of the application that generated the PMML.
description
a descriptive text for the header of the PMML.
copyright
the copyright notice for the model.
transforms
a coded list of transforms performed.
...
further arguments passed to or from other methods.
Details
The generated PMML can be imported into any PMML consuming
application that recognizes PMML 3.2. An example is ADAPA.
ADAPA (Adaptive Decision and Predictive Analytics) is a lightweight
decision engine that offers at its core batch and real-time scoring
of predictive models as well as fast execution of business rules.
ADAPA supports an extensive collection of PMML elements, including the
following predictive techniques: 1) Neural Networks (Backprogagation
and Neural Gas); 2) Support Vector Machines; 3) Linear and Logistic
Regression as well as all general regression PMML models: a) Multinomial
Logistic; b) General Linear; 3) Ordinal Multinomial; 4) Simple Regression;
and 5) Generalized Linear Model. ADAPA provides a reliable and fast
way to manage, deploy, and execute a multitude of models and decision
strategies.References
Package home page: http://rattle.togaware.com
PMML home page: http://www.dmg.org
Zementis' useful PMML convert: http://www.zementis.com/pmml_converters.htm
ADAPA home page: http://www.zementis.com/adapa.htm