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pmml (version 1.3)

pmml.rules: Generate PMML for arules objects

Description

Generate the PMML (Predictive Model Markup Language) representation of a rules or an itemset object from package arules.

Usage

## S3 method for class 'rules':
pmml(model, model.name="arules_Model", 
    app.name="Rattle/PMML",
    description="arules association rules model", copyright=NULL, \dots)
## S3 method for class 'itemsets':
pmml(model, model.name="arules_Model", 
    app.name="Rattle/PMML",
    description="arules frequent itemsets model", copyright=NULL, \dots)

Arguments

model
an rules or itemsets object.
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.
...
further arguments passed to or from other methods.

Details

PMML is an XML based language which provides a way for applications to define statistical and data mining models and to share models between PMML compliant applications. More information about PMML and the Data Mining Group can be found at http://www.dmg.org. The generated PMML can be imported into any PMML consuming application, such as the Zementis ADAPA and UPPI scoring engines which allow for predictive models built in R to be deployed and executed on site, in the cloud (Amazon, IBM, and FICO), in-database (IBM Netezza, Pivotal, Sybase IQ, Teradata and Teradata Aster) or Hadoop (Datameer and Hive).

References

Package arules home page: http://r-forge.r-project.org/projects/arules Rattle home page: http://rattle.togaware.com

PMML home page: http://www.dmg.org A. Guazzelli, W. Lin, T. Jena (2012), PMML in Action: Unleashing the Power of Open Standards for Data Mining and Predictive Analytics. CreativeSpace (Second Edition) - Available on Amazon.com - http://www.amazon.com/dp/1470003244.

A. Guazzelli, M. Zeller, W. Lin, G. Williams (2009), PMML: An Open Standard for Sharing Models. The R journal, Volume 1/1, 60-65

See Also

pmml.