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pmml (version 1.3)

pmml.coxph: Generate PMML for a coxph object

Description

Generate the PMML (Predictive Model Markup Language) representation of a coxph object.

Usage

## S3 method for class 'coxph':
pmml(model, model.name="CoxPH_Survival_Regression_Model", app.name="Rattle/PMML",
     description="CoxPH Survival Regression Model", copyright=NULL, transforms=NULL, \dots)

Arguments

model
a coxph 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.
transforms
a coded list of transforms performed, such as a WrapData object from the pmmlTransformations package
...
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).

Note that only numeric risk regression is supported currently.

References

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.