r2pmml {r2pmml}

Converts an R model object to PMML.

Description

Converts an R model object to PMML.

Usage

r2pmml(
  x,
  file,
  converter = NULL,
  converter_classpath = NULL,
  verbose = FALSE,
  ...
)

Arguments

x

An R model object.

file

A filesystem path to the result file.

converter

The name of a custom JPMML-R converter class.

converter_classpath

A list of filesystem paths to library JAR files that provide and support the custom JPMML-R converter class.

verbose

A flag controlling the verbosity of the conversion process.

...

Arguments to be passed on to the "r2pmml::decorate" function.

Examples

library("mlbench")
library("randomForest")
library("r2pmml")

data(iris)
iris.rf = randomForest(Species ~ ., data = iris, ntree = 7)
# Convert "randomForest" object to R-style (deep binary splits) MiningModel
pmmlFile = file.path(tempdir(), "Iris-RandomForest.pmml")
r2pmml(iris.rf, pmmlFile)
# Convert "randomForest" object to PMML-style (shallow multi-way splits) MiningModel
compactPmmlFile = file.path(tempdir(), "Iris-RandomForest-compact.pmml")
r2pmml(iris.rf, compactPmmlFile, compact = TRUE)

data(BostonHousing)
housing.glm = glm(medv ~ ., data = BostonHousing, family = "gaussian")
# Convert "glm" object into GeneralRegressionModel
genRegPmmlFile = file.path(tempdir(), "Housing-GLM.pmml")
r2pmml(housing.glm, genRegPmmlFile)
# Convert "glm" object into RegressionModel
regPmmlFile = file.path(tempdir(), "Housing-LM.pmml")
r2pmml(housing.glm, regPmmlFile, converter = "org.jpmml.rexp.LMConverter")