pmml (version 2.5.2)

pmml.rpart: Generate the PMML representation for an rpart object from the package rpart.

Description

Generate the PMML representation for an rpart object from the package rpart.

Usage

# S3 method for rpart
pmml(
  model,
  model_name = "RPart_Model",
  app_name = "SoftwareAG PMML Generator",
  description = "RPart Decision Tree Model",
  copyright = NULL,
  model_version = NULL,
  transforms = NULL,
  missing_value_replacement = NULL,
  dataset = NULL,
  ...
)

Arguments

model

An rpart 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.

dataset

Data used to train the rpart model.

...

Further arguments passed to or from other methods.

Value

PMML representation of the rpart object.

Details

Supports regression tree as well as classification. The object is represented in the PMML TreeModel format.

References

rpart: Recursive Partitioning (on CRAN)

Examples

# NOT RUN {
library(rpart)

fit <- rpart(Species ~ ., data = iris)

fit_pmml <- pmml(fit)
# }