pmml.glm

model

a name to be given to the model in the PMML code.

model.name

the name of the application that generated the PMML code.

app.name

a descriptive text for the Header element of the PMML code.

description

copyright

data transformations represented in PMML via pmmlTransformations.

transforms

value to be used as the 'missingValueReplacement' attribute for all MiningFields.

unknownValue

weights

further arguments passed to or from other methods.

Generate the PMML representation for a glm object from package stats.

The Predictive Model Markup Language (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).

Tridivesh Jena

pmml

Generate PMML for Various Models

pmml.glm function

data transformations represented in PMML via pmmlTransformations.

Generate the PMML representation for a glm object from package stats.

pmml.glm: Generate PMML for glm objects

Description

Usage

Arguments

Details

References