pmml: pmml.multinom – R documentation

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pmml.multinom

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,
  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.
`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

library(nnet)
fit <- multinom(Species ~ ., data = iris)
fit_pmml <- pmml(fit)

pmml

Generate PMML for Various Models

v2.4.0

GPL-3 | file LICENSE

Authors

Dmitriy Bolotov [aut, cre], Tridivesh Jena [aut], Graham Williams [aut], Wen-Ching Lin [aut], Michael Hahsler [aut], Hemant Ishwaran [aut], Udaya B. Kogalur [aut], Rajarshi Guha [aut], Software AG [cph]

Initial release