pmml.multinom: Generate the PMML representation for a multinom object from...

In pmml: Generate PMML for Various Models

Generate the PMML representation for a multinom object from package nnet.

Description

Generate the multinomial logistic model in the PMML RegressionModel format. The function implements the use of numerical, categorical and multiplicative terms involving both numerical and categorical variables.

Usage

## S3 method for class 'multinom'
pmml(
  model,
  model_name = "multinom_Model",
  app_name = "SoftwareAG PMML Generator",
  description = "Multinomial Logistic Model",
  copyright = NULL,
  model_version = NULL,
  transforms = NULL,
  missing_value_replacement = NULL,
  ...
)

Arguments

model	A multinom object.
model_name	A name to be given to the PMML model.
app_name	The name of the application that generated the PMML.
description	A descriptive text for the Header element of the PMML.
copyright	The copyright notice for the model.
model_version	A string specifying the model version.
transforms	Data transformations.
missing_value_replacement	Value to be used as the 'missingValueReplacement' attribute for all MiningFields.
...	Further arguments passed to or from other methods.

Value

PMML representation of the multinom object.

Author(s)

Tridivesh Jena

References

nnet: Feed-forward Neural Networks and Multinomial Log-Linear Models (on CRAN)

Examples

## Not run: 
library(nnet)
fit <- multinom(Species ~ ., data = iris)
fit_pmml <- pmml(fit)

## End(Not run)

pmml documentation built on March 18, 2022, 5:49 p.m.