pmml.multinom {pmml} | R Documentation |
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.
## 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,
...
)
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. |
PMML representation of the multinom
object.
Tridivesh Jena
nnet: Feed-forward Neural Networks and Multinomial Log-Linear Models (on CRAN)
## Not run:
library(nnet)
fit <- multinom(Species ~ ., data = iris)
fit_pmml <- pmml(fit)
## End(Not run)